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# 2010**~.PR** 

# -7 PM 

# 12: 46

TEXAS COMMISSION ON ENVIRONMENTAL QuAlflIn'filVISION Bryan 

# W. Shaw, Ph.D., 

# Chairman

Buddy Garcia, 

# Commissioner

Carlos Rubinstein, 

# Commissioner

Mark R. Vickery, P.G., 

# Executive Director

Protecting Texas by 

# Reducing andPreventing Pollution



# April 1,2010

Docket No. 2009-0801-SIP



# Project No. 2009-018-SIP-NR**y",·~:·** 

# -,...r;·,

.

:::

## ~-~!' 

# Alfredo "AI" Armendariz, Ph.D., Regional Administrator

U.S. Environmental Protection Agency

- Region 6

1445 Ross Avenue

Dallas, Texas 75202-2733 w

-

# S~2 

# c:'**~~ :"J~** **r-~·**



# Dear Dr. Armendariz:

On March 10,2010, the Texas Commission on Environinental Quality (Commission) adopted a revision to the

state implementation plan (SIP) for demonstration of reasonable further progress for the Houston-GalvestonBrazoria (HGB) 1997 eight-hour ozone nonattainment area.

The Commission adopted the HGB Reasonable Further Progress (RFP) SIP revision, demonstrating that the

RFP emissions reduction requirement will be met for the six-year period (2003-2008) beginning Janumy 1 of the

year following the year used for the baseline emissions inventory (2002) and all remaining three-year periods

after the first six-year period (2009-2011, 2012-2014, and 2015-2017) out to the area's attainment 

# date (2019).

This SIP revision also sets the nitrogen oxides (NOx) 

# and volatile organic compounds (VOC) motor vehicle

emissions budgets (MVEB) for transportation conformity purposes for the milestone years 2008, 2011, 2014,

2017, and 2018.

Enclosed are the proposed revision to the SIP, a public hearing certification, a complete record of the public

hearings, and the accompanying order. I look forward to your expeditious approval ofthis SIP revision.

Sincerely,

# ~~;dAtv- Bryan W. Shaw, Ph.D.

Chairman

BWS/ts



# Enclosures

cc: The Honorable Rick Perry, Governor of Texas

Mr. 

# Toby Baker, Office of Budget, Planning and Policy, Office of the Governor

.Mr. 

# MarkR. Vickery, P.G., Executive Director, Texas Commission on Environmental Quality

P.O. 

# Box 13087 Austin, Texas 78711-3087 512-239-1000 Internet address:www.tceq.state.tx.us

'.' " 'd

# Texas Commission on Environmental Quality

Public Hearings

October 28 and 29. 2009

Concerning Revisions 

# to the

HGB Eight-Hour Ozone Reasonable Further Progress SIP

Project No. 2009-018-SIP-NR

# REVISION TO THE STATE IMPLEMENTATION PLAN FOR

THE CONTROL OF OZONE AIR POLLUTION

HOUSTON-GALVESTON-BRAZORIA 1997 EIGHT-HOUR

OZONE STANDARD NONATTAINMENT AREA

TCEQ

TEXAS COMMISSION ON ENVIRONMENTAL QUALITY

P.O. BOX 13087

AUSTIN, TEXAS 78711-3087

Houston-Galveston-Brazoria Reasonable Further Progress State

Implementation Plan Revision for th e1997 Eight-Hour Ozone Standard

PROJECT NO. 2009-018-SIP-NR

Adopted

March 10, 2010

# HGB Reasonable Further Progress SIP Revisi on for the 1997 Eight-Hour Ozone Standard



# ix LIST OF APPENDICES

Appendix Appendix Name

Appendix 1 HGB Reasonable Further Progress Demonstration Calculations Spreadsheet

Appendix 2 Development of Reasonable Further Progress Point Source Inventories

Appendix 3 Development of Reasonable Further Progress Area Source Inventories

Appendix 4 Development of Reasonable Further Progress Non-Road Mobile Source

Emissions Inventories for Source Categories in the EPA’s NONROAD 2005

Model

Appendix 5 Development of Reasonable Further Progress Non-Road Mobile Source

Emissions Inventories for Airports

Appendix 6 Development of Reasonable Further Progress Non-Road Mobile Source

Emissions Inventories for Locomotives

Appendix 7 Development of Reasonable Further Progress Non-Road Mobile Source

Emissions Inventories for Commercial Marine Vessels

Appendix 8 Development of Reasonable Further Progress Non-Road Mobile Source

Emissions Inventories for Drilling Rigs

Appendix 9 Houston-Galveston-Brazoria 1997 Eight- Hour Ozone Nonattainment Area

Reasonable Further Progress On-Road M obile Source Emissions Inventories

# APPENDIX 5

D EVELOPMENT OF REASONABLE FURTHER PROGRESS NON-ROAD MOBILE

SOURCE EMISSIONS INVENTORIES FOR AIRPORTS

# 1 Airport Emissions Inventory Methodology

Emissions from airport activities in the HGB area were estimated for Ellington Field, George Bush

Intercontinental Airport, and William P. Hobby Airport. Emissions we re calculated using the Federal

Aviation Administration (FAA) Emissions and Dispersion Modeling System (EDMS), version 5.1.

The airport emissions categories considered for this RFP analysis were aircraft operations which

include aircraft (commercial air carriers, air taxi s, general aviation, and military), auxiliary power

units (APU), and ground suppor t equipment (GSE) operations.

The documentation of procedures used in developing the airport emissions inventories can be found

in this appendix, which consists of two parts:

Part A: Houston Airport System Emissions Inventory Study

Part B: Landrum and Brown Technical Memorandum Regarding Ground Support Equipment

Emissions Inventory

Part A: Houston Airport System Emissions Inventory Study

The Houston Airport System (HAS) emissions inve ntory was developed by Jacobs Consultancy, and

submitted to the TCEQ by the HAS on March 19, 2009.

The report and its appendices provide a detailed e xplanation of the concepts, methodology, and input

and output data for estimating emissions for all ai rport categories. The appendices of the report are

described below.

Appendix A provides information used to estimate emissions from aircraft operations, fleet mix and

auxiliary power units (APUs).

Appendix B provides information on the APUs and precondition air (PCA).

Appendix C provides information used for estim ating emissions from ground support equipment

(GSE), GSE activities within the vicinity of the aircraft, and Emissions and Dispersion Modeling

System (EDMS) methods used to model all activity around an aircraft.

Appendix D provides information from vehicular activit y in on-airport parking lots at the airport.

Appendix E provides information from roadway vehi cular activity associated with the airport.

Appendix F provides information from stationary s ources and fuel consumption for airport tenants

including:

• 1) HAS-owned boilers and generators; 2) HAS-owned incinerator at George Bush

International Airport (IAH); 3) firefighter traini ng fires; and 4) emissions from aircraft fuel

storage tanks. There were a number of other stationary sources located at each airport, but

they were not included in this study because of a lack of readily available data. The

stationary sources not included in this study are: 1) aircraft engine testing areas; 2) deicing

operations; 3) salt/sand piles; and 4) pa inting and solvent degreasing activities.

• Information from construction activities for various projects implemented at IAH, Hobby

Airport (HOU) and Ellington Airport (EFD) in 2005 and construction projects forecast for

2018.

Included as an attachment to Part A is a letter from Southwest Airlines expressing support for the

aircraft and GSE emissions inventory developed by HAS for Hobby Airport.

Part B: Landrum and Brown Technical Me morandum Regarding Ground Support Equipment

Emissions Inventory

# 2 This technical memorandum was submitte d to the TCEQ on January 20, 2009.

The memorandum provides analysis on ground suppor t equipment (GSE) emissions and information

about each piece of GSE that was used to estimate emissions for Continental GSE at George Bush

Intercontinental Airport from 2005 to 2018.

Also included as attachments to Part B are two le tters from Continental Airlines expressing support

for the aircraft and GSE emissions inventory from the HAS at the George Bush Intercontinental and

Hobby Airports.

# Part A

Houston Airport System Emissions Inventory Study

Emissions Inventory of Airport Related Sources

# 	




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### HAS608 

# i CONTENTS

Section Page

1 INTRODUCTION ...................................................................................... 1-1

2 METHODOLOGY...................................................................................... 2-1

2.1 Overview of Pollutants................................................................... 2-1

2.2 Emissions .......................................................................................... 2-1

2.2.1 Emission Source Groups..................................................... 2-1

2.2.2 Modeling Tool...................................................................... 2-2

2.2.3 Computation Methods........................................................ 2-2

2.3 Weather Data.................................................................................... 2-3

2.3.1 Mixing Height ...................................................................... 2-3

2.3.2 Temperature......................................................................... 2-3

3 AIRCRAFT OPERATIONS....................................................................... 3-1

3.1 Introduction...................................................................................... 3-1

3.2 Aircraft Operations ......................................................................... 3-1

3.2.1 Baseline Aircraft Operations.............................................. 3-1

3.2.2 Future Aircraft Operations................................................. 3-3

3.3 Baseline and future Fleet Mix ........................................................ 3-4

3.4 Aircraft Engine Type....................................................................... 3-6

3.5 Aircraft Operating Times ............................................................... 3-6

3.5.1 Airborne Operating Times ................................................. 3-6

3.5.2 Baseline Taxi in/Taxi out Operating Times .................... 3-7

3.5.3 Baseline Taxi in/Taxi out Operating Times by

Aircraft Type ........................................................................ 3-9

3.5.4 Future Taxi in/Taxi out Operating Times ....................... 3-9

4 AUXILIARY POWER UNITS................................................................... 4-1

4.1 Introduction...................................................................................... 4-1

4.2 Aircraft Engine-APU Combination............................................... 4-1

4.3 APU Times Computation Methodology ...................................... 4-1

4.3.1 HOU Gate Occupancy Times (2005)................................. 4-2

4.3.2 HOU PCA Availability (2005) ........................................... 4-2

4.3.3 APU Temperature Analysis............................................... 4-2

4.4 Baseline APU Times........................................................................ 4-3

4.5 Future APU Times........................................................................... 4-5

### HAS608 

# ii CONTENTS (continued)

Section Page

5 GROUND SUPPORT EQUIPMENT ....................................................... 5-1

5.1 Introduction...................................................................................... 5-1

5.2 Methodology .................................................................................... 5-1

5.3 GSE Activity Within the Vicinity of the Aircraft ........................ 5-1

5.3.1 Overview .............................................................................. 5-2

5.3.2 Time-in-Mode Survey......................................................... 5-2

5.4 GSE Activity Beyond the Vici nity of the Aircraft ....................... 5-6

5.4.1 Overview .............................................................................. 5-6

5.4.2 Distance Survey ................................................................... 5-6

6 PARKING FACILITIES AND TERMINAL CURBSIDES..................... 6-1

6.1 Introduction...................................................................................... 6-1

6.2 Methodology .................................................................................... 6-1

6.3 Parking EmissionS Factors ............................................................. 6-1

6.3.1 Average Speed ..................................................................... 6-2

6.3.2 Idle Time ............................................................................... 6-2

6.3.3 Distance Traveled................................................................ 6-2

6.4 Parking Emission Parameters........................................................ 6-3

6.4.1 George Bush Intercontinental Airport.............................. 6-3

6.4.2 William P. Hobby Airport.................................................. 6-10

6.4.3 Ellington Field...................................................................... 6-14

7 ROADWAY TRAFFIC............................................................................... 7-1

7.1 Introduction...................................................................................... 7-1

7.2 Methodology .................................................................................... 7-1

7.2.1 On-Airport Roadways ........................................................ 7-1

7.2.2 Off-Airport Roadway.......................................................... 7-2

7.3 Roadway Emission Factors ............................................................ 7-2

7.3.1 On-Airport Roadway.......................................................... 7-3

7.3.2 Off-Airport Roadway.......................................................... 7-3

7.3.3 Average Speed ..................................................................... 7-3

7.4 Roadway Emission Parameters..................................................... 7-3

7.4.1 George Bush Intercontinental Airport.............................. 7-3

7.4.2 William P. Hobby Airport.................................................. 7-9

7.4.3 Ellington Field...................................................................... 7-13

### HAS608 

# iii CONTENTS (continued)

Page

8 KEY STATIONARY SOURCES................................................................ 8-1

8.1 Introduction...................................................................................... 8-1

8.2 Methodology .................................................................................... 8-1

8.2.1 Boilers.................................................................................... 8-1

8.2.2 Emergency Generators........................................................ 8-2

8.2.3 Incinerators........................................................................... 8-2

8.2.4 Training Fires ....................................................................... 8-2

8.2.5 Fuel Storage Tanks .............................................................. 8-2

8.2.6 Cooling Towers.................................................................... 8-2

8.3 Stationary Sources Emission Parameters ..................................... 8-2

8.3.1 George Bush Intercontinental Airport.............................. 8-2

8.3.2 William P. Hobby Airport.................................................. 8-6

8.3.3 Ellington Field...................................................................... 8-8

9 CONSTRUCTION ACTIVITY.................................................................. 9-1

9.1 Introduction...................................................................................... 9-1

9.2 Methodology .................................................................................... 9-1

9.3 2005 Construction Project Inventory ............................................ 9-2

9.3.1 George Bush Intercontinental Airport.............................. 9-2

9.3.2 William P. Hobby Airport.................................................. 9-4

9.3.3 Ellington Field...................................................................... 9-6

9.4 Future Construction Project Inventory ........................................ 9-8

9.4.1 William P. Hobby Airport.................................................. 9-8

9.4.2 Ellington Field...................................................................... 9-13

9.4.3 George Bush Intercontinental Airport.............................. 9-14

10 SUMMARY OF EMISSIONS .................................................................... 10-1

### HAS608 

# iv TABLES

Page

2-1 Average Temperature in Degrees Fahrenheit.............................................. 2-4

3-1 2005 Annual Operations by Aircraft Category............................................ 3-2

3-2 2005 Ozone Season Weekday Operations .................................................... 3-3

3-3 Aircraft Operations Growth Factors at HOU............................................... 3-3

3-4 Aircraft Operations Growth Factors at EFD ................................................ 3-4

3-5 Aircraft Operations Growth Factors at IAH ................................................ 3-4

3-6 2005 Annual Average Taxi Times at IAH..................................................... 3-7

3-7 2005 Annual Average Taxi Times at HOU................................................... 3-8

3-8 2005 Unimpeded Taxi Times at EFD............................................................. 3-9

3-9 Taxi In Times by Runway at HOU ................................................................ 3-10

3-10 Taxi Out Times by Runway at HOU............................................................. 3-10

3-11 Taxi In Times at IAH ....................................................................................... 3-11

3-12 Taxi Out Times at IAH .................................................................................... 3-12

4-1 2005 Gate Occupancy Times in Minutes at HOU........................................ 4-3

4-2 2005 APU Operating Times (in Minutes) at HOU ...................................... 4-4

4-3 2005 APU Operating Times (in Minutes) at Iah .......................................... 4-5

4-4 Future PCA Equipage at HOU....................................................................... 4-6

4-5 Future PCA Equipage at IAH ........................................................................ 4-6

4-6 Future APU Times (in Minutes) at HOU...................................................... 4-7

4-7 Future APU Times (in Minutes) at IAH ....................................................... 4-8

5-1 GSE Operating Minutes Per LTO at IAH ..................................................... 5-4

5-2 GSE Operating Minutes Per LTO at HOU ................................................... 5-5

5-3 GSE Requirements Per LTO ........................................................................... 5-7

5-4 Average Distance in Miles Per LTO at IAH................................................. 5-7

5-5 Average Distance in Miles Per LTO at HOU ............................................... 5-8

5-6 Annual Hourly GSE Usage at IAH Beyo nd the Vicinity of the Aircraft.. 5-9

5-7 Annual Hourly GSE Usage at HOU.............................................................. 5-9

5-8 Annual Hourly GSE Usage at HOU.............................................................. 5-10

5-9 Annual Hourly GSE Usage at IAH................................................................ 5-10

6-1a 2005 Parking Lot Traffic at IAH..................................................................... 6-6

6-1b 2005 Terminal Curbside Traffic at IAH ........................................................ 6-7

6-2a Future Parking Lot Traffic at IAH ................................................................. 6-8

6-2b Future Terminal Curbside Traffic at IAH..................................................... 6-9

6-3 2005 Parking Lot Parameters at HOU........................................................... 6-12

6-4 Future Parking Lot Traffic at HOU ............................................................... 6-13

6-5 2005 Parking Lot Parameters at EFD............................................................. 6-16

6-6 Future Parking Lot Traffic at EFD ................................................................. 6-17

7-1 Vehicle Class..................................................................................................... 7-3

7-2 Vehicle Class Mix at IAH................................................................................ 7-4

7-3 2005 Roadway Parameters at IAH................................................................. 7-6

7-4 Future Roadway Vehicle Miles Traveled at IAH ........................................ 7-7

### HAS608 

# v TABLES (continued)

Page

7-5 2005 Roadway Parameters at HOU............................................................... 7-11

7-6 Future Roadway Traffic Volumes at HOU................................................... 7-12

7-7 2005 Roadway Parameters at EFD................................................................. 7-15

7-8 Future Roadway Traffic Volumes at EFD .................................................... 7-16

8-1 2005 Throughput for Key Stationary Sources at IAH................................. 8-4

8-2 Future Throughput for Key Stationary Sources at IAH............................. 8-5

8-3 2005 Throughput for Key Stationary Sources at HOU ............................... 8-6

8-4 Future Throughput for Key Stationary Sources at HOU ........................... 8-7

8-5 2005 Throughput for Key Stationary Sources at EFD................................. 8-8

8-6 Future Throughput for Key Stationary Sources at EFD............................. 8-9

9-1 IAH 15L Construction Vehicle Utilization ................................................... 9-3

9-2 IAH 9/27 Construction Vehicle Utilization ................................................. 9-4

9-3 HOU Concourse B Construction Vehicle Utilization ................................. 9-5

9-4 HOU Airfield Repair Construction Vehicle Utilization ............................. 9-6

9-5 EFD Ramp Repair Construction Vehicle Utilization .................................. 9-7

9-6 EFD Airfield Hangar Construction Vehicle Utilization ............................. 9-8

9-7 HOU Runway Extension Construction Vehicle Utilization ...................... 9-9

9-8 HOU12L/30R Upgrade Construction Vehicle Utilization......................... 9-11

9-9 HOU Taxiway J Construction Vehicle Utilization ...................................... 9-11

9-10 HOU Freight Facility (Cargo) Constr uction Vehicle Utilization............... 9-12

9-11 HOU Freight Facility (Paving) Cons truction Vehicle Utilization............. 9-13

9-12 EFD Future ATC Tower Construction Vehicle Utilization........................ 9-14

9-13 IAH Future Project Constructi on Equipment Utilization .......................... 9-17

9-14 IAH Future Project On-Road Cons truction Vheciles Utilization.............. 9-18

10-1 CO Emissions in Short Tons at IAH.............................................................. 10-3

10-2 VOC Emissions in Short Tons at IAH........................................................... 10-4

10-3 NOx Emissions in Short Tons at IAH ........................................................... 10-5

10-4 SOx Emissions in Short Tons at IAH............................................................. 10-6

10-5 PM-10 Emissions in Short Tons at IAH ........................................................ 10-7

10-6 PM-2.5 Emissions in short Tons at IAH........................................................ 10-8

10-7 CO Emissions in Short Tons at HOU ............................................................ 10-9

10-8 VOC Emissions in Short Tons at HOU ......................................................... 10-10

10-9 NOx Emissions in Short Tons at HOU.......................................................... 10-11

10-10 SOx Emissions in Short Tons at HOU........................................................... 10-12

10-11 PM-10 Emissions in Short Tons at HOU....................................................... 10-13

10-12 PM-2.5 Emissions in Short Tons at HOU...................................................... 10-14

10-13 CO Emissions in Short Tons at EFD.............................................................. 10-15

10-14 VOC Emissions in Short Tons at EFD ........................................................... 10-16

10-15 NOx Emissions in Short Tons at EFD ........................................................... 10-17

10-16 SOx Emissions in Short Tons at EFD............................................................. 10-18

### HAS608 

# vi 10-17 PM-10 Emissions in Short Tons at EFD ........................................................ 10-19

10-18 PM-2.5 Emissions in Short Tons at EFD ....................................................... 10-20

### HAS608 

# vii FIGURES

Page

6-1 On-Airport Parking Facilities, George Bush International Airport.......... 6-5

6-2 On-Airport Parking Facilities, William P. Hobby Airport......................... 6-11

6-3 On-Airport Parking Facilities, Ellington Field Airport .............................. 6-15

7-1 On-Airport Roadway Traffic Ch aracteristics, George Bush

International Airport ....................................................................................... 7-8

7-2 On-Airport Roadway Traffic Characte ristics, William P. Hobby Airport 7-10

7-3 On-Airport Roadway Traffic Characteri stics, Ellington Field Airport .... 7-14

# Section 1

**INTRODUCTION**

### HAS608 

# 1-1 

# Section 1

INTRODUCTION

The Houston Airport System (HAS), an enterprise fund

of the City of Houston, is the fourth largest airport

system in the United States and sixth largest in the

world. It owns and operates three airports in the

Houston area: George Bush Intercontinental Airport

(IAH), William P. Hobby Airport (HOU), and Ellington

Field (EFD).

The purpose of this report is to presents an inventory of

the most prevalent airport-related emission sources for

all three airports. The emissions inventory in cludes sources operated at the airports by

tenants and by HAS, but it does not repr esent every possible emissions source, and

specifically excludes emissions from grou nd support equipment owned by Continental

Airlines and Southwest Airlines. As app licable, source ownership is identified

throughout the body of the report. The em issions inventory has been prepared with a

goal to be included in the State Implementation Plan (S IP) and used to support the

development of appropriate emission budgets in the Houston area SIP.

This report provides a brief overview of th e approach, methodology, and data inputs,

and then summarizes emission results. Cons istent with the 8-hour ozone SIP for the

Houston-Galveston-Brazoria (HGB) nonattainme nt area, emissions are calculated using

aircraft operations data and other required data for the following SIP milestone years:

 

# Baseline year—2005

 

# SIP Demonstration years—2011, 2014, and 2017

 

# Currently planned SIP Attainment year—2018

For each of the analysis years, emissions are calculated for two different scenarios.

 

# Annual Emissions—computation of em issions for the entire year from

January 1 to December 31.

 

# Ozone Season Weekday—computation of emissions for all the weekdays in the

ozone season. The ozone season spans the timeline from March 1 to

November 30 (197 days).

The report has been structur ed so that the emissions calculation methodologies and

assumptions are summarized for every major source group of airport-related emissions.

A detailed explanation of the methodology and emission inventories is provided in the

individual appendices for each emission source group.

# Section 2

**METHODOLOGY**

### HAS608 

# 2-1 

# Section 2

METHODOLOGY

2.1 OVERVIEW OF POLLUTANTS

The pollutants inventoried include U.S. Environmental Protection Agency (EPA)

criteria pollutants and their precursors and include: volatile organic compounds

(VOCs), oxides of nitrogen (NO

x 

# ), carbon monoxide (CO), oxides of sulfur (SO

x 

# ),

particulate matter with an aerodynamic di ameter of 10 micrometers or less (PM 10 

# ), and

particulate matter with an aerodynamic di ameter of 2.5 micrometers or less (PM 2.5 

# ).

The emissions inventory described in this report was developed for airport-related

sources using Version 5.1 of the Federal Av iation Administration’ s (FAA’s) Emissions

and Dispersion Modeling System (EDMS) program.

2.2 EMISSIONS

Emissions source groups, modeling tool, and computation methods are described

within the following.

2.2.1 Emission Source Groups

The emissions were categorized into different groups depending on the source. The

different source groups of emissions are:

 

# Aircraft Operations—emissions from an arrival, a departure, a landing and

takeoff cycle (LTO), or a Touch-and-Go operation (TGO)

 

# Gate Services—emissions generated by Auxiliary Power Units (APUs) when

the aircraft is parked at the gate

 

# Ground Support Equipment (GSE)—emi ssions from equipment that support

operations of aircraft on the ground (other than GSE owned by Continental

Airlines and Southwest Airlines)

 

# On-Airport Roadway Traffic—emissions fr om motor vehicle activity, including

that of commercial vehicles, passenger cars, and taxicabs on the roadways

within the airport boundary

 

# Off-Airport Roadway Traffic—emissions fr om motor vehicle activity, including

that of commercial vehicles, passenger cars, and taxicabs on the roadways

beyond the airport boundary

 

# Parking Facility and Termin al Curbsides—similar to roadway emissions but

confined to motor vehicle activity in public, employee, rental car, taxicab

parking lots and curbside holding areas.

 

# Key Stationary Sources—emissions from key on-airport non-vehicle operations,

such as utility or heating/ cooling facilities, generators, training fires, and fuel

storage facilities

 

# Construction—emissions from construction activity at the airport

### HAS608 

# 2-2 Sections 3 to 9 describe the assumptions an d methodology in computing emissions for

each source group.

2.2.2 Modeling Tool

The emissions inventory was developed for airport-related sources using most recent

version of FAA’s Emission & Dispersion Modeling System (EDMS) program (version

5.1). The FAA requires use of EDMS when assessing aviation emission sources at

airports* and is recognized by the U.S. EPA** as the preferred tool for modeling aircraft

emissions.

The FAA developed

EDMS in the mid-1980s

in cooperation with the

United States Air Force.

The model has become

increasingly

sophisticated over time

and provides users with

the ability to conduct

emission inventories

and dispersion analysis

for all of the major

emission sources in the

airport environment.

EDMS develops timeand location-varying

emissions from mobile

sources, such as, aircraft engines, APUs, GSE, ground access vehicles, training fires, and

stationary sources, including generators, commercial kitchens, cooling towers, boilers,

and bulk liquid storage tanks. EDMS incorpo rates specific details on types of aircraft

and typical aircraft schedules for taxi, take-o ff, and landing to develop a more precise

representation of airport emissions.

2.2.3 Computation Methods

EDMS has an internal database of emission factors for airport pollutant sources. There

are specific factors for all pollutants included in the program, including VOCs, NO

x 

# , CO, SO 2 

# , PM 10 

# , and PM 2.5 

# . These emission factors are typically expressed in units of

mass per unit of time or distance (e.g., grams/second, or grams/mile). The EDMS

database of emission factors reflects diffe rences in emissions based on fuel type, fuel

burn, engine power load, manufacture ye ar, and manufacturer, among many other

characteristics.

*Federal Register, Volume 63, No. 70, April 13, 1998.

** Guidelines on Air Quality Models (R evised) with Supplements A and B , EPA-450/

2-78-027R, U.S. Environmental Protection Agency, July 1, 1997. Codified in 40 CFR

Part 51, Appendix W.

### HAS608 

# 2-3 These emission factors are used by EDMS to calculate a total estimated emission

inventory for a specified time period by multiplying the emission factor for the

particular source by the time, distance, or number of events input by the user. The

result is the estimated total emissions for each source group and ultimately total

estimated emissions for the study period.

Airport-specific information such as latitude and longitude coordinates of the official

Airport Reference Point (ARP), and elevatio n of the ARP above sea level are provided

within the EDMS structure. All other airp ort-specific information must be estimated

and input to the program.

2.3 WEATHER DATA

Typical weather data includes mixing height and temperature as discussed below.

2.3.1 Mixing Height

To be consistent with the Texas Commissi on on Environmental Quality’s (TCEQ)

photochemical modeling of the Houston-Galveston-Brazoria (HGB) nonattainment

area, the specified mixing height of 3,000 feet wa s used as the input to the EDMS model.

This height is also the defaul t mixing height value in EDMS.

2.3.2 Temperature

Daily averages of the maximum, minimum and mean temperature for the annual and

ozone season are the typical inputs for EDMS. Temperature data provided in the

National Oceanic and Atmospheric Admini stration (NOAA) were used as the EDMS

input for the annual inventory.* NOAA temperature data is collected in 30-year

increments, with the most recent period covering 1971 to 2000. Temperature data

provided by the TCEQ SIP were used in the EDMS model for the ozone season

weekday.** These temperature inputs reflec t the summer season for the HGB region.

The average temperature values were assumed the same for all three airports and were

assumed to remain constant across all mode led years. Table 2-1 shows the temperature

inputs.

*“Climatography of the United States No. 81, Monthly Station Normals of

Temperature, Precipitation, and Heat ing and Cooling Degree Days 1971 – 2000,”

National Oceanic and Atmospheric Administ ration, National Environmental Satellite,

Data, and Information Service, National Climatic Data Center, Asheville, North

Carolina 28801.

**Texas Commission on Environmental Qua lity State Implementation Plan model,

MOBIL 6.2 temperature inputs for the summer season.

### HAS608 

# 2-4 Table 2-1

AVERAGE TEMPERATURE IN DEGREES FAHRENHEIT

HAS Emissions Inventory Study



# Scenario Minimum

daily Mean daily Maximum

daily

Annual (a) 58.2 68.2 79.4

Ozone (b) 74.6 83.4 92.9

(a) Source: “Climatography of the United States No. 81, Monthly

Station Normals of Temperature, Precipitation, and Heating and

Cooling Degree Days 1971 – 2000,” National Oceanic and

Atmospheric Administration, National Environmental Satellite,

Data, and Information Service, National Climatic Data Center,

Asheville, North Carolina 28801.

(b) Texas Commission on Environmental Quality State

Implementation Plan model, MOBIL 6.2 temperature inputs for

the summer season.



# EDMS default values were used for other mete orological parameters, such as pressure,

humidity, etc. A comprehensive list of mo deling default values and parameters can be

found on the CD with the EDMS input files in the Appendices.

# Section 3

**AIRCRAFT OPERATIONS**

### HAS608 

# 3-1 

# Section 3

AIRCRAFT OPERATIONS

3.1 INTRODUCTION

Aircraft emissions typically represent

the largest portion of emissions from

any category of on-airport sources for

all pollutants except CO (which is

dominated by motor vehicles). To

estimate emissions from aircraft

sources, a series of model inputs are

needed. Typically, these inputs

include baseline and/or future

aircraft operations, aircraft

operations, fleet mix, aircraft engine

type, and operating times in the air

and on the ground. Aircraft em issions are calculated using th e emission factors, specific

to aircraft and engine type combinations, multiplied by the time spent in each

operational mode.

3.2 AIRCRAFT OPERATIONS

Baseline and future aircraft operations are described below.

3.2.1 Baseline Aircraft Operations

Baseline aircraft operations are discussed below in terms of total annual operations and

total ozone season weekday operations.

Total Annual Operations

. The standard input into EDMS is the total annual operations

for every aircraft-engine combination. The to tal annual operations for the baseline year

for IAH and HOU were obtained from the F AA Terminal Area Forecast (TAF) database

(dated December 2008). The TA F contains historical and forecast aircraft operational

data by aircraft category—commercial, ai r taxi/commuter, general aviation, and

military—for FAA towered airports and some non-towered airports.

The commercial and air tax i/commuter categories in the 2008 TAF are composed of

passenger and cargo operations. Cargo ope rations for IAH in 2005 were derived from

the 2006 Master Plan using the growth rate from the 2008 TAF.

The total annual operations at EFD were de rived from FAA tower records provided by

HAS. Because EFD tower records do not di fferentiate between air taxi and air cargo

operations, it was assumed that the air taxi component represents th e cargo operations.

There was no commercial scheduled passenger service in 2005 at EFD. Table 3-1 shows

the total annual operations by aircraft category.

### HAS608 

# 3-2 Table 3-1

2005 ANNUAL OPERATIONS BY AIRCRAFT CATEGORY

HAS Emissions Inventory Study



# Airport Passenger Cargo General

Aviation Military

IAH (a) 529,936 4,930 (b) 16,685 233

HOU (a) 158,022 N/A 83,557 325

EFD (c) N/A 1,967 (d) 82,376 54,240

(a) Source: FAA 2008 Terminal Area Forecast database.

(b) Source: 2006 DMJM George Bush Interc ontinental Airport Master Plan, 1990-

2000 compound annual growth rate used to grow 2000 cargo operations to 2005.

(c) Source: FAA Tower Records.

(d) Represents all air taxi oper ations at Ellington Field.



# Total Ozone Season Weekday Operations. As stated previously, the ozone season

spans the timeline from March 1 to Novemb er 30. The ozone season operations were

derived from the percentage of total annual operations that occur during the ozone

season months (March-November). It was computed as a pr oduct of the percentage of

total annual operations that take place during the ozone season months and the

weekend-to-weekday split during the ozone season months.

The percentage operations that occur duri ng the ozone season months were derived

from the monthly operations data from 2008 TAF and FAA tower records. The

weekday-to-weekend proportion for passenger service was derived from an Official

Airline Guide (OAG) schedule for the baseline year. Cargo service was assumed to have

the same ozone season proportions as passenger service.

Noise monitoring data from May to August 2008 provided individual flight records

containing airline names, touchdown/take off times, aircraft type, and aircraft category.

Weekday to weekend proportions for general aviation operations were derived from

touchdown/take off times. Military operat ions were assumed to have similar weekdayto-weekend proportions as general aviation. Please see Appendix A, Estimation of

Emissions from Aircraft Operations, for more details.

The proportion of total annual operations th at occur during all weekdays in the ozone

season is shown in Table 3-2.

### HAS608 

# 3-3 Table 3-2

2005 OZONE SEASON WEEKDAY OPERATIONS

HAS Emissions Inventory Study



# Airport Passenger (a) Cargo General

Aviation (b) Military (a)

IAH 56.3% 56.3% 62.3% 70.8%

HOU 57.7%

-- 60.7% 70.7%

EFD n/a 61.9% 62.3% 63.9%

(a) Source: FAA 2008 Terminal Area Forecast database.

(b) Source: 2008 Noise Monitoring data, May-August.



# 3.2.2 Future Aircraft Operations

The baseline aircraft operations at HOU fo r each category were derived from the 2008

TAF forecast numbers. The TAF forecast is an annual evaluation by the FAA of

projected aviation growth. At EFD, neither the military nor National Aeronautics and

Space Administration (NASA) have any publis hed plans for expansion. The growth for

general aviation operations was derived fr om the high growth scenario in the 2004

Master Plan. Tables 3-3 and 3-4 show the growth factors from the baseline year at HOU

and EFD, respectively. The forecast for fu ture operations at IAH was derived from

preliminary estimates as part of the Master Plan and Capital Improvement Plan

Environmental Impact Statement (EIS). The forecast operations were based on the 2008

TAF forecast accounting for the retirement cycle of aircraft and expected airport

improvements. Table 3-5 shows the growth factors from the baseline year at IAH.

Table 3-3

AIRCRAFT OPERATIONS GROWTH FACTORS AT HOU

HAS Emissions Inventory Study



# Year Passenger Cargo General

Aviation Military

2011 -5.2% -- -2.5% 88.6%

2014 -2.8% -- -0.6% 88.6%

2017 2.5% -- 5.3% 88.6%

2018 4.3% -- 7.4% 88.6%

Source: FAA 2008 Terminal Area Forecast database.

### HAS608 

# 3-4 Table 3-4

AIRCRAFT OPERATIONS GROWTH FACTORS AT EFD

HAS Emissions Inventory Study



# Year Passenger Cargo General

Aviation (a) Military (b)

2011

-- 0% 23.8% 6.2%

2014

-- 0% 35.6% 9.4%

2017

-- 0% 47.2% 12.7%

2018

-- 0% 50.8% 13.8%

(a) Source: High growth case, 2004 Leigh Fisher Associates Master Plan

(b) Assumes an annual 1% growth rate.

Table 3-5

AIRCRAFT OPERATIONS GROWTH FACTORS AT IAH

HAS Emissions Inventory Study



# Year Passenger Cargo General

Aviation Military

2011 6.4% 35.1% 18.4% 66.7%

2014 15.5% 34.7% 21.6% 65.8%

2017 24.1% 41.7% 25.3% 65.8%

2018 27.2% 44.2% 27.8% 65.8%

Source: FAA 2008 Terminal Area Forecast and HNTB analysis.



# 3.3 BASELINE AND FUTURE FLEET MIX

The fleet mix for each aircraft category was derived from several sources. Each

different source is described below. For a more detailed explanation of the

methodology and data as well as aircraft ope rations by airline, category, and aircraft

type, please refer to Appendix A, Estima tion of Emissions from Aircraft Operations.

### HAS608 

# 3-5  

# Passenger Operations . An OAG summary of operations for each airport was

collected for calendar year 2005 to obtain the percentage of operations by each

airline operator and aircraft type. This information was then applied to the

total annual and ozone season passenger operations from the 2008 TAF to get

total operations by airline/aircraft type.

 

# Cargo Operations. The 2008 noise monitoring data was queried to determine

the cargo aircraft types and percentage of operations for each aircraft type.

This information was then applied to the total annual and ozone season cargo

operations to get total operations by ai rline/aircraft type. It was assumed that

the fleet/engine type mix for cargo oper ations did not change significantly

from 2005 to 2008.

 

# General Aviation Operations. The 2008 noise monitoring data was queried to

determine the general aviation aircraft typ es and percentage of operations for

each aircraft type. This information was then applied to the total annual and

ozone season general aviation operations to get total operations by aircraft

type. It was assumed that the fleet /engine type mix for general aviation

operations did not change significantly from 2005 to 2008.

 

# Military Operations. The fleet mix and proportion of military aircraft at EFD

was obtained from the 2004 Master Plan. This information was then applied to

the total annual and ozone season military operations to get total operations by

aircraft type. The small number of m ilitary operations at IAH and HOU were

assumed to be of the prevalent helicopter type at EFD (H-65 Dolphin).

The baseline fleet mix at EFD and HOU were assumed to remain constant through the

entire assessment period.

At IAH, the baseline fleet mix was adjusted based on preliminary estimates as part of

the Master Plan and Capital Improvement Pl an Environmental Impact Statement (EIS),

which accounts for shift in aircraft type as a re sult of aircraft fleet retirement and airport

improvements though the study period.

A separate fleet mix forecast was prepared for each of the major activity categories at

IAH, including scheduled and charter passenger carrier, all-cargo, air taxi and other,

general aviation, and military. The passeng er and cargo fleet mixes were based on

survey input from the air carriers, and su pplemented with available information on

aircraft orders and retirements. In both inst ances, required lift capacity (seat departures

or tonnage capacity) was estimated based on the passenger and cargo forecasts in

conjunction with load factor estimates. The lift capacity was used as a control to ensure

that the fleet mix and aircraft operation fo recasts were consistent with the passenger

enplanement and cargo tonnage forecasts. Changes in the general aircraft type (jet,

turboprop, and piston) for air taxi and gene ral aviation were based on the FAA national

forecasts for each of those categories. With in each category, operations by aircraft no

longer in production were assumed to decline and operations by aircraft still in

### HAS608 

# 3-6 production were assumed to increase. The military fleet mix was assumed to remain

constant.

3.4 AIRCRAFT ENGINE TYPE

Aircraft type to engine type matching is an essential part of an accurate estimation of

emissions from aircraft operations. EDMS co nsiders each aircraft as a combination of a

specific aircraft type and engine type. EDMS suggests a default engine type for most

aircraft types. For the purpose of this study, it was essential to determine the engine

type(s) for every aircraft category/airline/aircraft type combination.

For commercial passenger airlines and cargo operators, the combinations of

airline/aircraft type/engine types operat ing at HAS were derived using the 2007/2008

edition of JP Airline-Fleets International (JP Fleets). JP Fleets contains engine type

information for each airline, air taxi, l arge non-commercial government, and corporate

operator. If an aircraft category/airline/aircraft type was found to have more than one

engine type match in JP Fleets, then a prop ortional distribution of engine types was

used.

For general aviation and military aircraft, the default engine type in EDMS was used. If

EDMS did not have a default engine type, then the most common engine type for that

particular aircraft type was used. Please refer to Appendix A for a complete listing by

aircraft category/airline/aircraft typ e/engine type for each airport.

3.5 AIRCRAFT OPERATING TIMES

Operating times for aircraft, baseline taxi in /taxi out, baseline taxi in/taxi out by

aircraft type, and future taxi in/taxi out are described below.

3.5.1 Airborne Operating Times

EDMS models aircraft landing-takeoff cycles in six modes of operation, approach, taxi

in, startup, taxi out, takeoff, and climb out. The modes “taxi out” and “taxi in” have

identical emission factors, and any time spent idling is calculated using the same

emission factors. These mo des combined are often referred to as the “taxi/idle.”

EDMS uses two different methods of calculat ing emissions from the airborne modes of

operation—climb out, approach and takeoff.

 

# Static operating times developed by the International Civil Aviation

Organization (ICAO) and U.S. EPA

 

# Dynamic operating times using the methodology pres ented in the Society of

Automotive Engineers (SAE) Aerospace Information Report (AIR) 1845.

Since the FAA mandates the use of the dynamic performance model for airport

analyses, the internal dynamic performanc e module in EDMS was used to compute

operating times for the baseline year at all three airports and all future SIP

Demonstration and currently planned Attainment years at HOU, IAH and EFD. This

### HAS608 

# 3-7 module is also more precise and takes in to account aircraft type, engine, weight,

approach angle, elevation, and weather. However, the module does not take into

account any delay due to queuing or congestion in the airspace.

3.5.2 Baseline Taxi in/T axi out Operating Times

Taxi times can be broken down into two components—unimpeded and delay.

Unimpeded taxi time represents the time that it would take an aircraf t to traverse all the

taxiways and taxi paths to arrive at the ga te or depart from the runway. Annual

average taxi in and taxi out times by arri val and departure runway were obtained for

IAH and HOU from the FAA Aviation System Performance Metrics (ASPM) database

for the baseline year. The annual average ta xi times include the unimpeded taxi time

and any associated delay.

Tables 3-6 and 3-7 show the 2005 taxi in and taxi out times at IAH and HOU.

Table 3-6

2005 ANNUAL AVERAGE TAXI TIMES AT IAH

HAS Emissions Inventory Study

Runway End Taxi In Time

(mins) Taxi Out Time

(mins)

8L 9.17 19.53

8R 9.17 19.53

15L 8.45 (a) 20.84

15R 8.45 (a) 20.84

9 9.66 19.27

26L 8.25 19.77

26R 8.25 19.77

33L 8.45 (b) 22.72

33R 8.45 (b) 22.72

27 7.61 20.51

(a) Source: FAA ASPM database.

(b) No data available, assumed av erage taxi time for entire

airfield.

### HAS608 

# 3-8 Table 3-7

2005 ANNUAL AVERAGE TAXI TIMES AT HOU

HAS Emissions Inventory Study

Runway End Taxi In Time

(mins) Taxi Out Time

(mins)

12L 4.67 8.74

12R 4.67 8.74

30L 3.72 10.36

30R 3.72 10.36

17 4.55 8.74

35 4.28 (a) 10.36

4 3.51 10.73

22 4.55 9.72

(a) Source: FAA ASPM database.

(b) No data available, assumed average taxi time for airfield



# At EFD, unimpeded taxi times were comput ed for each arrival and departure runway

based on the taxiing distance from/to th e respective runway end and an average

taxiing speed of 15 miles per hour (mph). It was assumed that the delay at EFD was

insignificant and the unimpeded taxi time re presented the total taxi time. Table 3-8

shows the taxi distances and corresponding taxi times.

### HAS608 

# 3-9 Table 3-8

2005 UNIMPEDED TAXI TIMES AT EFD

HAS Emissions Inventory Study



# Runway

end Taxi In distance

(feet) (a) Taxi Out

distance (feet) (a) Taxi In time

(mins) (b) Taxi Out time

(mins) (b)

17L 3,375 5,576 4.1 6.8

17R 4,868 4,582 5.9 5.6

35L 4,147 5,507 5.0 6.7

35R 5,042 4,048 6.1 4.9

4 8,493 4,324 10.3 5.2

22 3,134 8,105 3.8 9.8

17L 3,375 5,576 4.1 6.8

17R 4,868 4,582 5.9 5.6

(a) Taxi in and out distances computed from Google Earth.

(b) Taxi in and out times based on average speed of 15 mph.



# 3.5.3 Baseline Taxi in/Taxi out Op erating Times by Aircraft Type

To quantify emissions more accurately, taxi times were derived by aircraft type instead

of using an average taxi time for all aircraft. To determine taxi times by aircraft type,

the 2008 noise monitoring data were used to derive runway utilization proportions by

aircraft type. An average taxi in and taxi out time by aircraft type was computed by

calculating a weighed average of the runway utilization for each aircraft type with the

associated taxi times for that runway. Append ix A contains the taxi in and out times for

2005 by aircraft type.

3.5.4 Future Taxi in/Taxi out Operating Times

Future taxi times at HOU were computed based on airfield delay projections. As part of

the 2003 HOU Master Plan, a demand/capacity analysis was conducted linking aircraft

delay as a function of demand. The delay represented the average annual delay for the

entire airfield. Based on the demand/cap acity analysis, a relationship was derived

between demand and delay. This relationship was projected to compute delay based

on aircraft demand from the 2008 TAF for th e SIP Demonstration and currently planned

Attainment years. The increase in the ai rcraft delay was added to the baseline taxi

times to estimate future taxi times. It was assumed that the taxi delay component

increased proportionally with total airfield delay. Tables 3-9 and 3-10 show the baseline

and future projections of taxi in and taxi out times at HOU aggregated by runway.

### HAS608 

# 3-10 Table 3-9

TAXI IN TIMES BY RUNWAY AT HOU

HAS Emissions Inventory Study

Taxi

In Total Taxi in Time (mins)

Year Delay Rwy 12L Rwy 12R Rwy 30L Rwy 30R Rwy 17 Rwy 35 Rwy 4 Rwy 22

2005 1.05 4.67 4.67 3.72 3.72 4.55 4.28 3.51 4.55

2011 1.40 4.43 4.43 3.48 3.48 4.31 4.04 3.27 4.31

2014 1.89 4.62 4.62 3.67 3.67 4.50 4.23 3.46 4.50

2017 2.55 4.97 4.97 4.02 4.02 4.85 4.58 3.81 4.85

2018 3.32 5.12 5.12 4.17 4.17 5.00 4.73 3.96 5.00

Table 3-10

TAXI OUT TIMES BY RUNWAY AT HOU

HAS Emissions Inventory Study

Taxi

Out Total Taxi Out Time (mins)

Year Delay Rwy 12L Rwy 12R Rwy 30L Rwy 30R Rwy 17 Rwy 35 Rwy 4 Rwy 22

2005 1.05 8.74 8.74 10.36 10.36 8.74 10.36 10.73 9.72

2011 3.35 8.16 8.16 9.78 9.78 8.16 9.78 10.15 9.14

2014 4.54 8.61 8.61 10.23 10.23 8.61 10.23 10.60 9.59

2017 6.11 9.46 9.46 11.08 11.08 9.46 11.08 11.45 10.44

2018 7.97 9.81 9.81 11.43 11.43 9.81 11.43 11.80 10.79



# At EFD, no airfield delays are expected to occur owing to increase in general aviation

operations. Consequently, baseline taxi times were kept constant for future years.

At IAH, the delay represented the average annu al delay for the entire airfield. Based on

the demand/capacity analysis, a relationship was derived between demand and delay.

This relationship was projected to compute delay based on aircraft demand from the

2008 TAF for the study years. An average unim peded taxi in and taxi out time for the

airport was determined based on a weighed average of the runway utilization and the

estimated travel distance between each runw ay and the terminal. These projected taxi

times account for the construction of Runwa y 8C/26C and 9R/27L and several taxiway

### HAS608 

# 3-11 improvements. Appendix A contains the pr ojected runway utilization used for this

analysis.

Tables 3-11 and 3-12 show the baseline and fut ure projections of taxi in and taxi out

times at IAH aggregated by runway.

Table 3-11

TAXI IN TIMES AT IAH

HAS Emissions Inventory Study



# Taxi in Time (min)

Year Delay Travel

Time Total

2005 2.70 6.00 8.70

2011 2.89 6.20 9.09

2014 3.13 6.20 9.33

2017 3.36 5.25 8.61

2018 3.44 5.25 8.69

Source FAA Aviation System Performance

Metrics, 2006 DMJM George Bush

Intercontinental Airport Master Plan.

### HAS608 

# 3-12 Table 3-12

TAXI OUT TIMES AT IAH

HAS Emissions Inventory Study



# Taxi in Time (min)

Year Delay Travel

Time Total

2005 6.90 13.90 20.80

2011 7.38 14.43 21.81

2014 7.99 14.43 22.42

2017 8.58 8.48 17.06

2018 8.79 8.48 17.27

Source FAA Aviation System Performance

Metrics, 2006 DMJM George Bush

Intercontinental Airport Master Plan.

# Section 4

**AUXILIARY POWER UNITS**

### HAS608 

# 4-1 

# Section 4

AUXILIARY POWER UNITS

4.1 INTRODUCTION

Auxiliary Power Units (APUs) are on-board

generators that provide electrical power to an

aircraft while its engines are shut down. These

generators supply the aircraft with power for

comfort heating and cooling air, lights, and

electronics as well as restart ing the jet engines. If

the aircraft is parked at a gate that can provide

preconditioned air (PCA) and ground power, then

its APU can be turned off while loading and

unloading passengers. Th e APU is, in effect, a

small jet engine and the calculations for the

emissions generated by it are similar to those of an

aircraft engine operating in one power setting only.

4.2 AIRCRAFT ENGINE-APU COMBINATION

Within EDMS there is an extensive list of

aircraft/engine/APU combinations. When de tailed information could not be obtained

by the airlines, the EDMS de fault APU type was used, as defined by EDMS for each

aircraft/engine type.

4.3 APU TIMES COMPUTATION METHODOLOGY

For commercial scheduled operations, the op erating time that an APU unit functions

depends on the time that an aircraft spends on the ground with the main engines shut

down (also known as gate occupancy time) and whether there is PCA/ground power at

the gate. The weather can also influence operating times as APU units are not typically

employed during temperatures ranging from 35 O 

# to 55 O 

# Fahrenheit.

If the gate is equipped with PCA, then the APU operates for a minimum period during

the start up and shut down process of the aircraft. FAA guidance recommends a

default of 7 minutes of APU use per landin g-and-takeoff (LTO) cycle for all aircraft

parked at gates that provide PCA and electricity.

The gates that have PCA have a minimum defa ult APU time of 7 minutes per LTO. The

gates that do not have PCA would have hi gher APU usage equivalent to the gate

occupancy time. Depending on the number of gates that are equipped with PCA, a

weighted average APU time was computed.

For example, if 70% of gates had PCA and th e average gate occupancy time by airline

and aircraft type was 30 minutes, then the weighted average APU usage time per LTO

### HAS608 

# 4-2 would be (70% x 7) + (30% x 30) = 13.9 minutes. For a detaile d explanation, please refer

to Appendix B, Estimation of Emissions from Auxiliary Power Units.

All 154 gates at IAH in 2005 had PCA and thus have a default APU of 7 minutes. At

HOU in 2005, some gates were equipped with PCA and thus the above mentioned

methodology was used to compute APU usage times for commercial scheduled

operations. EFD has no scheduled commerc ial operations and thus, no PCA usage.

For general aviation and cargo operations, wh ich usually do not use a gate, the default

APU time in EDMS was used if the aircraft type had an APU unit on board. The default

is 26 minutes per LTO.

4.3.1 HOU Gate Occ upancy Times (2005)

The gate occupancy times were derived from the 2005 schedule for commercial

scheduled operations from the OAG. Jacobs Consultancy’s proprietary flight matching

software was used to match flights to determ ine the turnaround time for each LTO. The

turnaround times were capped at 60 minutes for aircraft that overnight at HOU and

other flights with extensive on-ground times during the day. The gate occupancy times

were aggregated by airline and aircraft type. Table 4-1 shows the gate occupancy times

at HOU.

4.3.2 HOU PCA Availability (2005)

There were 23 operational gates at HOU in 2005. Of the 23 gates, 18 gates were not

equipped with PCA and five gates were equipped with PCA. It was assumed that PCA

was used for every flight at the five gates equipped with PCA.

4.3.3 APU Temperature Analysis

Five years (2003 through 2007) of temperature data from IAH were analyzed to identify

the time when the temperature was between 35  F and 55  F (time when an APU would

not need to be running). The remainin g hours would be when an APU would be

operating (i.e., when the temp eratures are lower than 35  F or greater than 55  F). Only

hours between 6 a.m. and 11 p.m. were cons idered since few commercial flight

operations take place at HOU outside this time frame.

Based on temperature analysis, it was dete rmined that APUs were utilized 84.19% and

91.37% of the time during the annual and ozon e season, respectively. As expected, due

to the higher temperatures during this time of year, APU usage is higher during the

ozone season.

### HAS608 

# 4-3 Table 4-1

2005 GATE OCCUPANCY TIMES IN MINUTES AT HOU

HAS Emissions Inventory Study



# Airline Aircraft Type Average Gate

Occupancy

Time (a)

American Eagle ER4 35.5

American Eagle ERD 35.8

Continental Express ERJ 60.0

American M80 23.8

American M83 23.3

Continental 735 60.0

Delta 732 54.5

Delta 738 52.1

Delta M80 60.0

Atlantic Southeast CR7 44.0

Atlantic Southeast CRJ 38.3

Airtran 717 37.0

Southwest 733 31.4

Southwest 735 28.6

Southwest 73G 35.8

Southwest 73S 23.5

Midwest 717 34.0

(a) Source: Derived from 2005 Schedule pulled from

Official Airline Guide , Back Aviation Solution



# 4.4 BASELINE APU TIMES

The APU operating times were computed based on the methodology previously

mentioned. Table 4-2 shows the APU operating times at HOU in 2005 and Table 4-3

shows the APU operating times at IAH in 2005.

### HAS608 

# 4-4 Table 4-2

2005 APU OPERATING TIMES (IN MINUTES) PER LTO AT HOU

HAS Emissions Inventory Study



# Airline Aircraft

Type Annual Ozone

Season

Weekday

Passenger

American M80 17.2 18.5

American M83 16.9 18.2

ATA 733 21.3 23.0

Atlantic Southeast CRJ 26.8 28.9

Atlantic Southeast CR7 30.5 33.0

Continental Express ERJ 41.1 44.4

American Eagle ERD 25.1 27.1

Continental 735 41.1 44.4

Delta 732 37.4 40.5

Delta 738 35.8 38.8

Delta 738 35.8 38.8

Delta M80 41.1 44.4

American Eagle ERD 25.1 27.1

American Eagle ER4 24.9 26.9

American Eagle ER4 24.9 26.9

Delta 738 35.8 38.8

Southwest 733 22.2 24.0

Southwest 733 22.2 24.0

Southwest 735 20.4 22.0

Southwest 73G 25.1 27.1

Airtran 717 25.9 28.0

Midwest 717 23.9 25.8

General Aviation and Cargo

Unknown All 13 13

### HAS608 

# 4-5 Table 4-3

2005 APU OPERATING TIMES (IN MINUTES) PER LTO AT IAH

HAS Emissions Inventory Study



# Aircraft

Category Annual Ozone

Season

Weekday

Passenger 7 7

General Aviation 26 26

Cargo 26 26

Military 26 26



# 4.5 FUTURE APU TIMES

For future APU times, the gate occupancy ti mes and temperature data were assumed to

remain the same as in 2005. For this inve ntory, the PCA equipages of the gates were

changed to reflect the retirement of units as they reach the end of their 13-year useful

life. In 2008, all gates at HOU and IAH wer e equipped with PCA. Because the actual

ages of the units are unknown, an age distribution was applied so that two PCA units

were assumed to retire every year at HOU and 12 PCA units were assumed to retire

every year at IAH. Tables 4-4 and 4-5 show the anticipated future PCA equipage at

HOU and IAH, respectively.

### HAS608 

# 4-6 Table 4-4

FUTURE PCA EQUIPAGE AT HOU

HAS Emissions Inventory Study



# Year Gates

Equipped Total Gates % Equipped

2011 19 25 76.0%

2014 13 25 52.0%

2017 7 25 28.0%

2018 5 25 20.0%

(a) Two PCA units retired every year.

Table 4-5

FUTURE PCA EQUIPAGE AT IAH

HAS Emissions Inventory Study



# Year Gates

Equipped Total Gates % Equipped

2011 99 169 58%

2014 72 178 41%

2017 45 187 24%

2018 35 189 19%

(a) Twelve PCA units retired every year.



# As noted, the cumulative APU operating time is inversely proportional to the number

of gates having PCA units. As the number of PCA unit s decline, the APU operating

times increase. It is anticipated that HAS will replace the retired PCA with new units.

However, this emission invent ory assumes the PCA are not replaced. Tables 4-6 and

4-7 show the projected future APU operatin g times at HOU and IAH, respectively,

through the SIP Demonstration and currently planned Attainment years. For IAH, APU

usage was equally represented for each airline.

### HAS608 

# 4-7 Table 4-6

FUTURE APU TIMES (IN MINUTES) AT HOU

HAS Emissions Inventory Study

Airline Aircraft

Type 2011

Annual

Season 2011

Ozone

Season 2014

Annual

Season 2014

Ozone

Season 2017

Annual

Season 2017

Ozone

Season 2018

Annual

Season 2018

Ozone

Season

Passenger

American M80 9.6 9.9 12. 2 12.9 14.8 15.8 15.7 16.8

American M83 9.5 9.9 12. 0 12.7 14.6 15.6 15.4 16.5

ATA 733 10.7 11.1 14.3 15. 2 18.0 19.2 19.2 20.6

Atlantic Southeast CRJ 12.0 12.6 17.1 18.2 22.1 23.8 23.8 25.7

Atlantic Southeast CR7 13.0 13.6 19.0 20.3 25.0 26.9 27.0 29.1

Unknown/UNK ERJ 15.7 16.6 24.4 26.1 33.1 35.7 36.0 38.9

American Eagle ERD 11.6 12. 1 16.3 17.3 20.9 22.4 22.4 24.1

Unknown/UNK 735 15.7 16.6 24. 4 26.1 33.1 35.7 36.0 38.9

Delta 732 14.8 15.6 22.6 24.1 30.3 32.7 32.9 35.5

Delta 738 14.4 15.1 21.7 23.2 29.1 31.4 31.6 34.1

Delta 738 14.4 15.1 21.7 23.2 29.1 31.4 31.6 34.1

Delta M80 15.7 16.6 24.4 26.1 33.1 35.7 36.0 38.9

American Eagle ERD 11.6 12. 1 16.3 17.3 20.9 22.4 22.4 24.1

American Eagle ER4 11.6 12. 1 16.2 17.2 20.7 22.3 22.3 24.0

American Eagle ER4 11.6 12. 1 16.2 17.2 20.7 22.3 22.3 24.0

Delta 738 14.4 15.1 21.7 23.2 29.1 31.4 31.6 34.1

Southwest 733 10.9 11.3 14. 8 15.7 18.7 20.0 20.0 21.5

Southwest 733 10.9 11.3 14. 8 15.7 18.7 20.0 20.0 21.5

Southwest 735 10.4 10.8 13. 8 14.7 17.2 18.5 18.4 19.8

Southwest 73G 11.6 12.1 16. 3 17.3 20.9 22.4 22.4 24.1

Airtran 717 11.8 12.4 16.7 17.7 21.5 23.1 23.1 24.9

Midwest 717 11.3 11.8 15.6 16.6 20.0 21.4 21.4 23.0

General Aviation and Cargo

Unknown/UNK All 13 13 13 13 13 13 13 13

### HAS608 

# 4-8 Table 4-7

FUTURE APU TIMES (IN MINUTES) AT IAH

HAS Emissions Inventory Study

Aircraft Category 2011

Annual

Season 2011

Ozone

Season 2014

Annual

Season 2014

Ozone

Season 2017

Annual

Season 2017

Ozone

Season 2018

Annual

Season 2018

Ozone

Season

Passenger 10.7 11.4 13.8 14.9 16.6 18.0 17.6 19.0

General Aviation 13 13 13 13 13 13 13 13

Cargo 13 13 13 13 13 13 13 13

Military 13 13 13 13 13 13 13 13

# Section 5

**GROUND SUPPORT EQUIPMENT**

### HAS608 

# 5-1 

# Section 5

GROUND SUPPORT EQUIPMENT

5.1 INTRODUCTION

GSE encompasses all equipment that is needed to

service aircraft on the ground during a normal

turnaround. Aircraft operations may require

specialized services (e.g., passenger airlines

require catering trucks, while cargo operations

require forklifts). All of these ground service

operations are accounted for in this source group,

except for emissions generated by GSE owned or

operated by Continental Airlines (COA) and

Southwest Airlines (SWA).

5.2 METHODOLOGY

EDMS offers two methods for estimation of GSE emissions, (1) an activity-based

method, or (2) a population-based method. With the activity-based method, the model

assigns levels of GSE activity per aircraft op eration for each aircraft specified in the

model. This approach quantifies emissions based on the number of aircraft operations

and the GSE typical for each aircraft. In th e population-based method, an inventory of

equipment is developed and linked with annual hours of usage to calculate an

emissions inventory from hourly emissions fa ctors. In this assessment, GSE activity

was segregated into two location categories:

 

# GSE activity within the vicinity of the aircraft

 

# GSE activity beyond the vicinity of the aircraft

For GSE activity within the vicinity of the aircraft, an activity-based method was used

and for GSE activity beyond the vicinity of the aircraft, a population-based method was

used. For each GSE type, the default equipm ent listed in EDMS was used, including the

following parameters:

 

# Rated Power (horsepower)

 

# Load Factor

 

# Age Distribution

5.3 GSE ACTIVITY WITHIN THE VICINITY OF THE AIRCRAFT

This category accounts for all GSE activity within the immediate vi cinity of the aircraft

(servicing the aircraft) on the ground. The activity-based method was used to model all

activity around an aircraft. A time-in-mode survey (TiM) was performed for all three

airports to capture relevant operating times for each type of GSE equipment.

### HAS608 

# 5-2 5.3.1 Overview

The operating times were aggregated to estimate

representative operating times by aircraft categories (i.e.

wide body, narrow body, region al jet, turbo prop) and were

used for all aircraft types in that category. The total GSE

activity time is the product of the operating times per LTO

and the number of operations fo r that aircraft category. For

future operations, the total GSE activity time for each

aircraft type was scaled proportionately to the increase in

operations of the respective aircraft. The time-in-mode survey is described below along

with the aggregated results. For detailed observations, please refer to Appendix C,

Estimation of Emissions from Ground Support Equipment

.

5.3.2 Time-in-Mode Survey

The TiM represents the total time each cate gory of GSE spends servicing an aircraft

during a complete LTO cycle. The measur ements taken in the TiM survey were based

on GSE usage by airline tenants at HOU and IAH. It should be noted that the GSE

measurements excluded SWA GSE activity at HOU, except for fueling trucks, and

excluded COA GSE activity at IAH, except for approximately 20 percent of the COA

fueling fleet. Real-time observations were made to record the actual GSE serving times.

The measurements represent GSE usage times during a series of weekdays during third

quarter 2008. This usage time was deemed to be representative of typical aircraft

servicing times. The total GSE activity is determined by multiplying the GSE operating

time per aircraft operation by the annual aircraft operations. Individual aircraft

operations vary from year to year, but the GS E operating times for the different aircraft

types should remain relatively constant. Accordingly, the 2008 usage times per aircraft

operation were applied to 2005 aircraft operatio ns. Additionally, for future years, it is

assumed that GSE usage rates will remain rela tively constant, with only the number of

aircraft operations significantly changing.

Observations were made at passenger terminals,

hardstand locations (passenger boarding areas

located away from the terminal), and cargo and

freight facilities, and included air carrier, commuter,

general aviation, and cargo aircraft. Timing of GSE

began when the equipment arrived in the vicinity of

the aircraft and ended when the equipment

departed. Care was taken to differentiate between

parking near the aircraft with the engine turned off

and actual operation. For example, while a

pushback tug may be hook ed up to an aircraft’s

landing gear for the duration of the event, the

recorded time only reflecte d the actual time that the

tug engine was operating. The total recorded time

### HAS608 

# 5-3 for each type of equipment was the sum of the times for each individual piece of

equipment of that type. For example, most aircraft require multiple bag tug operations.

Each tug operation was recorded and all op erations were summed for a final overall

time. An effort was made to make from six to ten observations for each category of

aircraft, but some categories registered fewer measurements.

Typical GSE vehicles that service aircraft

during routine operations include: bag

tractors, belt loaders, catering service

trucks, fuel tanker trucks, hydrant fueling

carts, lavatory trucks, potable water

trucks, aircraft tractors, container loaders,

and cargo loaders. Most GSE vehicles at

the airports are powered by diesel fuel,

but some are powered by gasoline.

Aircraft were organized into six general categories based on airframe size and

passenger or cargo capacity. Additionally, GSE operations are similar in duration and

frequency throughout each category of ai rcraft. Tables 5-1 and 5-2 show the GSE

operating times per operation at IAH and HOU, respectively. If the TiM survey yielded

no measurements for a GSE serv icing a particular aircraft type, it was noted with a “(b)”

in the tables. The maximum equipment ho rsepower for each GSE assignment was

assumed to be representative of each categoryHAS6085-4Table 5-1GSE OPERATING MINUTES PER LTO AT IAHHAS Emissions Inventory StudyAircraft CategoryOperatorAircraftClassBagTractorBeltLoaderCateringTruckFuelTruck(a)AircraftTractorLavatoryTruckCont.LoaderCargoLoaderPassengerStandGeneratorGPUHydranTruckWaterTruckCargo All All 120(c)(b) (b)65 5(b)77.5 77.5(b) (b)2.5(b) (b)General Aviation UNK All(b) (b) (b)21.5(b) (b) (b) (b) (b)21.7 2.5(b) (b)PassengerAll exceptCOA, SWANarrowBody19 35.2 16(c)15.3 6 17(b) (b) (b) (b)2.5(b)12(c)Passenger COANarrowBody(b) (b) (b)(b) (b) (b)(b) (b) (b) (b)2.5 7.8 (a)(b)Passenger SWANarrowBody(b) (b) (b)15.3(b) (b) (b) (b) (b) (b)2.5(b) (b)PassengerAll exceptCOAWide Body 89 96.4 116.449.7 5 43.9 91.4 91.4 78.3(b)2.5(b)12(c)Passenger COA WideBody(b) (b) (b)(b) (b) (b)(b) (b) (b) (b)2.5 21.3 (a)(b)PassengerAll exceptCOA, BTACommuter 14.4 17.2 10(c)10.8 6.7 15(c)(b) (b) (b) (b)2.5(b)12(c)Passenger BTA Commuter 14.4 17.2 11.2(b)6.7 4.8(b) (b) (b) (b)2.5 6.5 2.7Passenger COA Commuter(b) (b) (b)(b) (b) (b)(b) (b) (b) (b)2.5 6.5 (a)(b)Helicopter All All 12(c)Military (C-17) All All 20(c)120(c)Military (T-38) All All 20(c)20(c)BTA = Continental Express; COA = Continental Airlines; FBO = Fixed base operator; GPU = Ground Power Unit; SWA = Southwest Airlines; UNK = UnknownSource; Cont = Container: Fieldsurvey conducted in October and November 2008 Source:Field survey conducted in October and November 2008.(a)Only fuel trucks/carts modeled for COA and SWA. Based on available information, 80% of the fueltrucks were owned/operated byCOA in 2005. In future years, COA will own/operate100% of the fuel truck fleet. In 2005, Atlantic Aviation provided fuel trucks for SWA. In future scenarios, SWA owns and operates their own fuel trucks and thus wasn’t included as part ofthe emissions inventory in the future.(b)No visual observation of GSE activity.(c)Although not observed, equipment was included in analysis.HAS6085-5Table 5-2GSE OPERATING MINUTES PER LTO AT HOUHAS Emissions Inventory StudyAircraftCategoryOperatorAircraftClassBagTractorBeltLoaderCateringTruckFuelTruck(a)AircraftTractorLavatoryTruckContainerLoaderCargoLoaderPassengerStandGeneratorGPUHydrantTruckWaterTruckGeneralAviationAll All(b) (b) (b)13.7(b)2.0(b) (b) (b)27.0(b) (b) (b)PassengerAllexceptCOA,SWANarrowBody15 23.5(b)9 4.25(b) (b) (b) (b) (b) (b) (b) (b)Passenger COANarrowBody(b) (b) (b)9(b) (b) (b) (b) (b) (b) (b) (b) (b)Passenger SWA(a)NarrowBody(b) (b) (b)9.6(b) (b) (b) (b) (b) (b) (b) (b) (b)Passenger All Commuter 11.3 23.3(b)7.7 4.3(b) (b) (b) (b) (b) (b) (b) (b)BTA = Continental Express; COA = Continental Airlines; FBO = Fixed base operator; GPU = Ground Power Unit; SWA = Southwest Airlines; UNK = UnknownSource: Field survey conducted in October and November 2008(a)Only fuel trucks/carts modeled for COA and SWA. Based on available information, 80% of fuel trucks were owned/operated by COAin 2005. In futureyears, COA will own/operate 100% of the fuel truck fleet. In 2005,Atlantic Aviation provided fueltrucks for SWA. In futurescenarios, SWA owns andoperates their own fuel trucks and thus wasn’t included as part of the emissions inventory in the future.(b)No visual observations were made.

### HAS608 

# 5-6 5.4 GSE ACTIVITY BEYOND THE VICINITY OF THE AIRCRAFT

GSE activity occurs beyond the immediate vici nity of aircraft in direct support of an

aircraft operation—either traveling to the gate or transporting items and materials. The

population based method was used to model all GSE activity beyond the vicinity of the

aircraft and entails calculating an annual ho urly usage by GSE type. This activity

typically represents traveling distance/time from one aircraft to another for a bag tug or

from the fuel farm to the aircraft.

5.4.1 Overview

Only the following GSE types were determined to have significant emissions beyond

the vicinity of the aircraft were accounted for:

 

# Aircraft Tractor

 

# Belt Loaders

 

# Bag Tractor

 

# Fuel Trucks

For aircraft tractor, belt loaders, and bag tr actor an average distance per LTO by GSE

type was estimated based on a distance surv ey. This was then multiplied with the

number of pieces of GSE needed per LTO to es timate the total distance traveled by each

GSE type per LTO. The number of pieces of GSE required per LTO depends on the

aircraft class. Table 5-3 shows the number of GSE pieces typically needed to service a

single aircraft operation by aircraft class.

EDMS accepts annual consumption in terms of hours of usage. Th e total distance was

thus converted to time based on an averag e speed. The average speed was assumed to

be 10 mph for all GSE types.

5.4.2 Distance Survey

To account for GSE emissions away from th e aircraft, assumptions were made about the

purpose and destination of typical activity aw ay from the aircraft. These assumptions

include:

 

# Bag Tractors were assumed to travel the perimeter of the terminals to deliver

baggage to other aircraft and te rminal baggage collection points

 

# Belt loaders were located close to each passenger gate and, therefore, traveled a

smaller distance per aircraft operation

 

# Aircraft Tractor were located at virtually every passenger gate and travel

distances were measured from the gate to the point on the taxiway/apron area

where the aircraft was released

 

# It was also assumed that aircraft-to-airc raft transfer of baggage occurred within

the same general category of aircraft. The ratio of terminal passengers to

connecting passengers was carried over to the ratio of bag tug operations with

the proper travel distance applied

### HAS608 

# 5-7 Table 5-3

GSE REQUIREMENTS PER LTO

HAS Emissions Inventory Study



# Aircraft Class Bag

Tractor Belt Loader Aircraft

Tractor

Commuter 2 1 1

Narrow Body 4 2 1

Wide Body 4 2 1



# Using Google EarthTM, approximate GSE travel route distances were determined for

each type of GSE. Table 5-4 and 5-5 show s the average distance estimated from the

distance survey by GSE type at IAH and HOU.

Table 5-4

AVERAGE DISTANCE IN MILES PER LTO AT IAH

HAS Emissions Inventory Study



# GSE Type Commuter Narrow Body Wide Body

Aircraft Tractor 0.16 0.20 0.30

Belt Loader 0.20 0.20 0.20

Bag Tractor 0.52 0.52 0.53

Source: Field survey conducted in November 2008.

### HAS608 

# 5-8 Table 5-5

AVERAGE DISTANCE IN MILES PER LTO AT HOU

HAS Emissions Inventory Study



# GSE Type Commuter Narrow Body Wide Body

Aircraft Tractor 0.19 0.19 (a)

Belt Loader 0.03 0.03 (a)

Bag Tractor 0.42 0.42 (a)

Source: Field survey conducted by Jacobs Consultancy in

November 2008 and Southwest Airlines in

February 2009

(a) Wide body aircraft do not utilize HOU.



# The annual hours of equipment usage by GSE type was estimated by the product of the

average distance by aircraft class and GSE type with the number of pieces of GSE

equipment per LTO. This usage was converte d to an annual hourly consumption based

on visual observations of an approximate average speed of 10 mph and the number of

annual operations for that aircraft class. GSE were not observed idling for extended

periods of time. For future scenarios, the total annual consumption was scaled up

based on future aircraft operations for the annual and ozone season.

For fuel trucks, annual mileage for each truck was obtained from HAS staff. The values

for each vehicle were added to get the total annual mileage. The mileage was converted

to annual hours of equipment usage based on an average speed of 10 mph. Total

annual usage was scaled for future scenarios in the same proportion as commercial

scheduled operations. Tables 5-6 and 5-7 show the 2005 annual hourly usage beyond

the vicinity of the aircraft by GSE type at IAH and HOU. It should be noted that

minimal GSE activity was reported at EFD due to the lack of commercial aircraft

activity.

### HAS608 

# 5-9 Table 5-6

ANNUAL HOURLY GSE USAGE AT IAH

BEYOND THE VICINITY OF THE AIRCRAFT

HAS Emissions Inventory Study



# GSE Type Fuel

Type 2005

Annual

Season 2005

Ozone

Season

Aircraft Tractor Diesel 2,730 1,540

Belt Loader Gasoline 3,670 2,070

Bag Tractor Gasoline 18,930 10,650

Fuel Trucks Diesel 5,210 2,930

Table 5-7

ANNUAL HOURLY GSE USAGE AT HOU

HAS Emissions Inventory Study



# GSE Type Fuel

Type 2005

Annual

Season 2005

Ozone

Season

Aircraft Tractor Diesel 250 144

Belt Loader Gasoline 59 134

Bag Tractor Gasoline 1,672 965

Fuel Trucks Diesel 1,785 1,030



# Tables 5-8 and 5-9 show the annual hourly usage beyond the vicinity of the aircraft by

GSE type for HOU and IAH, respectively, for future scenarios.HAS6085-10Table 5-8ANNUAL HOURLY GSE USAGE AT HOUHAS Emissions Inventory StudyGSE TYPEFUELTYPE2005AnnualSeason2005OzoneSeason2011AnnualSeason2011OzoneSeason2014AnnualSeason2014OzoneSeason2017AnnualSeason2017OzoneSeason2018AnnualSeason2018OzoneSeasonAircraft TractorDiesel250144237136243140256148261150Belt LoaderGasoline59345632583361356235Bag TractorGasoline1,6729651,5849151,6259381,7139891,7441,006Fuel TrucksDiesel1,7851,0301,6929761,7351,0011,8291,0551,8621,074Table 5-9ANNUAL HOURLY GSE USAGE AT IAHHAS Emissions Inventory StudyGSE TYPEFUELTYPE2005AnnualSeason2005OzoneSeason2011AnnualSeason2011OzoneSeason2014AnnualSeason2014OzoneSeason2017AnnualSeason2017OzoneSeason2018AnnualSeason2018OzoneSeasonAircraft Tractor Diesel 2,730 1,540 2,922 1,648 3,162 1,784 3,395 1,915 3,478 1,962Belt Loader Gasoline 3,670 2,070 3,928 2,215 4,251 2,398 4,564 2,574 4,675 2,637Bag Tractor Gasoline 18,930 10,65020,259 11,39821,927 12,33623,540 13,24324,116 13,568Fuel Trucks Diesel 5,210 2,930 5,576 3,136 6,035 3,394 6,479 3,643 6,637 3,733

# Section 6

**PARKING FACILITIES AND TERMINAL CURBSIDES**

### HAS608 

# 6-1 

# Section 6

PARKING FACILITIES AND TERMINAL CURBSIDES

6.1 INTRODUCTION

Parking emissions encompass all emissions from vehicular activity in on-airport

parking facilities and terminal curbsides. All parking facilities, including public and

employee lots, were modeled.

6.2 METHODOLOGY

To quantify emissions more accurately, a ll vehicular traffic in a parking lot was

modeled for two vehicle classes. Each cl ass was modeled separately to account for

differences in emission factors.

 

# Parking activity in public and employee parking lots . This was modeled as a

mixture of light duty gasoline and diesel vehicles and trucks.

 

# Parking shuttles traversing to a nd from parking lot to the terminal . Only the

activity within the parking lot was accoun ted for. The on-roadway activity of

the parking shuttles was accounted fo r in Section 7, Roadway Emissions.

Emissions calculations are based on the tra ffic volumes in each facility as well as the

average speed, idle time, and distance traveled by each vehicle with in the facility. The

average speed, idle time, and distance trav eled are the parameters needed to compute

the emission factors. The other parameters are manufactured year, elevation, and the

average daily high and low temperatures, which come from the airport’s weather data.

6.3 PARKING EMISSIONS FACTORS

EDMS has a built-in on-road emission factor model to generate emissions factors for

motor vehicles. The built-in model is a basic version of MOBILE6.2. It cannot be

customized to local conditions and calc ulates emission factors based on the

manufactured year of the vehicle.

To account for local air quality agency inpu t requirements (i.e., local temperatures and

Inspection Maintenance programs, among othe rs), the latest version of MOBILE6.2 was

used outside of EDMS to calculate speed-dep endant emission factors for on-road motor

vehicles in Harris County based on inpu ts provided by TCEQ. MOBILE6.2 uses

average vehicle travel speed and vehicle class distribution data to produce emission

factors in units of grams per vehicle-mile for CO, VOCs, NO

x 

# , SO 2 

# , PM 10 

# , and PM 2.5



# .

Passenger vehicles were modeled as a mixture of Light Duty Gas Vehicles (LDGV),

Light Duty Gas Trucks (LDGT) , and Light Duty Diesel Vehicles (LDDV). Shuttle vans

were modeled as Light Duty Diesel Truck (LDDT) 2.

### HAS608 

# 6-2 Emission factors were input into EDMS in grams/vehicle. Emission factors from

MOBILE6.2 were transformed into grams/vehicle based on a combination of idle time

emission factor and the emission factor associ ated with the average speed of vehicles in

the parking lot. The idle time emission factor corresponds to a speed of 2.5 mph. The

idle time emission factor in grams/vehicl e-mile was converted to grams/vehicle based

on the idling time of the vehicle. The em ission factor corresponding to the average

speed was converted to grams/vehicle base d on the distance traveled within the

parking lot. Please refer to Appendix D, Estimation of Emissions from Parking Lots, for

more details.

6.3.1 Average Speed

The average speed of vehicles traveling in the parking facility is one of the parameters

necessary to determine the emission factor s. Due to limited operating space and a

combination of driving and idling, an av erage speed of 10 mph was assumed for all

parking lots.

6.3.2 Idle Time

The idle time is the average time a vehicl e spends idling between entering and exiting

the parking lot and the dwell time spent at term inal curbsides. In most cases, the EDMS

default of 1.5 minutes was used unless specif ic field observations were made. For IAH,

terminal curbside dwell times were provided within the 2006 Master Plan by vehicle

type and curbside type (arrival and departure).

6.3.3 Distance Traveled

The distance traveled is the average distance a vehicle travels between entry and exit.

For multistory parking lots, the distance traveled is a summation of the distance

vertically to the desired level and horizontally after reaching the level. Vertical distance

was calculated based on travel to a mid- level (example third level of a six-story

structure) and back. The horizontal compon ent was estimated based on an assumption

that, on average, a vehicle would traverse two aisle lengths before finding a parking

spot. For IAH, the curbside distance was based on information provided within the

2006 Master Plan.

### HAS608 

# 6-3 6.4 PARKING EMISSION PARAMETERS

Parking emission parameters are summarized below for IAH, HOU, and EFD.

6.4.1 George Bush Intercontinental Airport

Parking counts (vehicles entering and exit ing a lot) were performed in the following

lots: public parking lots, employee parking lots, and the Consolidated Rental Car

Center.

 

# Public Parking Lots

. Daily parking counts for the year 2005 were obtained

from New South Parking—the private op erator managing City-owned public

parking lot operations at IAH. This was aggregated to annual (365-day) and

ozone season (197-day) counts.

 

# Employee Parking Lots . 24-hour parking counts were made for one weekday

in October 2008 for the bigger parking lots . It was assumed that other parking

lots had similar parking occupancy proportion. This proportion was applied to

the total parking space to obtain parkin g demand for the other lots. Annual

and ozone season parking counts were estimated by multiplying the daily

counts with number of days in an annual and ozone season, respectively.

 

# Consolidated Rental Car Center (CRC). 24-hour parking counts were done for

one weekday in October 2008. Annual an d ozone season parking counts were

estimated by multiplying the daily counts with number of days in an annual

and ozone season, respectively.

 

# Miscellaneous Parking Lots. Several parking lots were included in the

analysis for which data was lacking an d which are relatively small but were

determined important to include. Thes e parking lots include Airport Services

Center (Terminal D), Lot B, Airport Serv ices Center (Terminal A), and Terminal

A and D Managers.

 

# Terminal Curbsides. Peak hour counts within th e 2006 Master Plan were used

to estimate annual curbside traffic volumes. The peak hour volumes were

estimated to be 10% of the daily volume s. Annual and ozone season parking

counts were estimated by multiplying the daily counts with number of days in

an annual and ozone season, respectively.

Tables 6-1a and 6-1b shows the 2005 traffic volumes, types, distance, speeds, and idle

times for each parking facility and curbside , respectively, for 2005. Tables 6-2a and b

shows the future traffic volumes for each p arking facility and curbside, respectively.

Future terminal curbsides volumes, dwell times, and curbside distances were provided

within the 2006 Master Plan. Future parking facility volumes were based on the annual

enplanements forecasted in the Ma ster Plan adjusted to 2008 TAF.

As part of the 2006 Master Plan, future parking facilities at IAH include an 8-story

parking structure to replace the facilities at Terminal A/B, C, and D/E, and the

### HAS608 

# 6-4 miscellaneous parking lots, the addition of the Will Clayton Remote Parking, and an

expansion of the Consolidated Rental Center. Future traffic volumes for these parking

facilities were determined based on the estima tes for the facilities it would be replacing

or estimates as a function of its increase in size.

Figure 6-1 shows the location of the on-airpo rt (existing and future) parking facilities at

IAH.HAS6086-5HAS6086-6Table 6-1a2005 PARKING LOT TRAFFIC AT IAHHAS Emissions Inventory StudyParking LotLot TypeSpeed(mph)DistanceTraveled(feet)IdleTime(min)Vehicle TypeFuel Type2005Annual2005OzoneSeasonTerminal A-B GaragePublic 10 639 1.5 Light Duty Vehicles Gasoline 937,562 544,823Air Cargo 1 BusesCargo 10 638 1.5 Transit Buses Diesel 31,390 17,673Air Cargo 1 TrucksCargo 10 638 1.5 Heavy Duty Vehicles Diesel 115,158 64,834Air Cargo 2 BusesCargo 10 625 1.5 Transit Buses Diesel 25,550 14,385Air Cargo 2 TrucksCargo 10 625 1.5 Heavy Duty Vehicles Diesel 55,115 31,030Air Cargo Lot 1Cargo 106381.5 Light Duty Vehicles Gasoline289,810 163,163Air Cargo Lot 2Cargo 10 625 1.5 Light Duty Vehicles Gasoline 133,590 75,211Terminal C East GaragePublic 10 732 1.5 Light Duty Vehicles Gasoline 589,085 334,391Terminal C West GaragePublic 10 1003 1.5 Light Duty Vehicles Gasoline 1,213,052 684,148Parking Cents LotPublic 10 1015 1.5 Light Duty Vehicles Gasoline 1,096,954 573,858Parking Cents ShuttlePublic 10 2145 4 Light Duty Trucks 2 Diesel 97,455 52,599Continental LotEmployee 10 1097 1.5 Light Duty Vehicles Gasoline 689,445 372,300Continental ShuttleEmployee 10 1692 2 Light Duty Trucks 2 Diesel 251,850 135,999CRC CenterRental 10 2229 1.5 Light Duty Vehicles Gasoline 2,360,090 1,274,449CRC ShuttleRental 10 250 1.5 Transit Buses Gasoline 257,690 139,153Terminal D/E GaragePublic 10 886 1.5 Light Duty Vehicles Gasoline 416,510 263,551Terminal A RooftopEmployee 10 823 1.5 Light Duty Vehicles Gasoline 328,508 177,394Terminal A WestEmployee 10 259 1.5 Light Duty Vehicles Gasoline 69,342 37,445Terminal B EastEmployee 10 382 1.5 Light Duty Vehicles Gasoline 104,161 56,247Terminal B RooftopEmployee 10 823 1.5 Light Duty Vehicles Gasoline 269,234 145,386Miscellaneous ParkingEmployee 10 1062 1.5 Light Duty Vehicles Gasoline 482,492 260,5458-Story Parking GaragePublic 10 1200 1.50 Light Duty Vehicles Gasoline N/AN/AWill Clayton Remote ParkingPublic 10 964 1.50 Light Duty Vehicles Gasoline N/AN/AWill Clayton Remote Parking Shuttle Public 10 2036 4.00 Light Duty Trucks 2 Diesel N/AN/ACRC Center w/ExpansionRental 10 24521.50 Light Duty Vehicles Gasoline N/AN/ACRC Shuttle w/ExpansionRental 10 275 4.00 Transit Buses Gasoline N/AN/ASource: New South Parking, 2005 and Jacobs, October 2008.HAS6086-7Table 6-1b2005 TERMINAL CURBSIDE TRAFFIC AT IAHHAS Emissions Inventory StudyCurbsideTypeDistance(feet)IdleTime(min)Vehicle TypeFuel Type2005Annual2005OzoneSeasonTerminal A Departures Public/Taxi300 2.84Light Duty Vehicles Gasoline1,655,145931,847Terminal B Departures Public/Taxi400 2.84Light Duty Vehicles Gasoline984,433554,236Terminal C Departures Public/Taxi900 2.85Light Duty Vehicles Gasoline1,709,235962,299Terminal D Departures Public/Taxi450 2.85Light Duty Vehicles Gasoline1,294,547728,830Terminal E Departures Public/Taxi600 2.85Light Duty Vehicles Gasoline1,121,460631,382Terminal A Arrivals Public/Taxi300 4.93Light Duty Vehicles Gasoline2,589,0941,457,660Terminal B Arrivals Public/Taxi400 4.92Light Duty Vehicles Gasoline1,435,180808,006Terminal C Arrivals Public/Taxi900 4.93Light Duty Vehicles Gasoline4,053,1222,281,907Terminal D Arrivals Public/Taxi450 4.87Light Duty Vehicles Gasoline2,358,3111,327,729Terminal E Arrivals Public/Taxi600 4.87Light Duty Vehicles Gasoline1,337,819753,192Terminal A Departures Shuttle300 1.34Light Duty Trucks 2 Diesel198,329111,659Terminal B Departures Shuttle400 1.34Light Duty Trucks 2 Diesel198,329111,659Terminal C Departures Shuttle900 1.24Light Duty Trucks 2 Diesel378,628213,168Terminal D Departures Shuttle450 1.66Light Duty Trucks 2 Diesel252,419142,112Terminal E Departures Shuttle600 1.21Light Duty Trucks 2 Diesel270,449152,263Terminal A Arrivals Shuttle300 1.58Light Duty Trucks 2 Diesel432,718243,620Terminal B Arrivals Shuttle400 1.50Light Duty Trucks 2 Diesel288,478162,413Terminal C Arrivals Shuttle900 2.16Light Duty Trucks 2 Diesel631,047355,279Terminal D Arrivals Shuttle450 1.92Light Duty Trucks 2 Diesel252,419142,112Terminal E Arrivals Shuttle600 2.33Light Duty Trucks 2 Diesel414,688233,469Source: 2006 DMJM George Bush Intercontinental Airport Master Plan.HAS6086-8Table 6-2aFUTURE PARKING LOT TRAFFIC AT IAHHAS Emissions Inventory StudyParking Lot2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017 Annual2017OzoneSeason2018Annual2018OzoneSeasonTerminal A-B Garage1,023,758 594,912 1,136,929 660,676 N/A N/A N/A N/AAir Cargo 1 Buses54,899 30,908 60,509 34,067 71,596 40,309 74,334 41,850Air Cargo 1 Trucks201,403 113,390 221,984 124,977 262,657 147,876 272,703 153,532Air Cargo 2 Buses44,685 25,158 49,252 27,729 58,276 32,809 60,505 34,064Air Cargo 2 Trucks96,393 54,269 106,24359,815 125,709 70,774 130,517 73,481Air Cargo Lot 1506,859 285,362 558,655 314,523 661,013 372,151 686,295 386,384Air Cargo Lot 2233,640 131,540 257,516 144,982 304,699 171,545 316,352 178,106Terminal C East Garage643,243 365,134 714,350 405,497 N/A N/A N/A N/ATerminal C West Garage1,324,575 747,046 1,471,000 829,628 N/A N/A N/A N/AParking Cents Lot1,197,804 626,616 1,330,215 695,885 1,465,181 766,491 1,513,829 791,941Parking Cents Shuttle101,935 55,017 107,817 58,191 113,812 61,427 115,973 62,594Continental Lot752,830 406,528 836,051 451,468 920,879 497,274 951,455 513,786Continental Shuttle263,427 142,251 278,627 150,459 294,121 158,825 299,705 161,841CRC Center2,577,067 1,391,616 2,861,949 1,545,452 3,152,327 1,702,257 N/A N/ACRC Shuttle269,536 145,549 285,088 153,948 300,941 162,508 N/A N/ATerminal D/E Garage454,802 287,781 505,078 319,594 N/A N/A N/A N/ATerminal A Rooftop358,710 193,703 398,363 215,116 N/A N/A N/A N/ATerminal A West75,717 40,887 84,087 45,407 N/A N/A N/A N/ATerminal B East113,738 61,418 126,311 68,208 N/A N/A N/A N/ATerminal B Rooftop293,986 158,752 326,485 176,302 N/A N/A N/A N/AMiscellaneous Parking526,850 284,499 585,091 315,949 N/A N/A N/A N/A8-Story Parking GarageN/A N/A N/A N/A 6,603,431 3,771,919 6,822,686 3,897,159Will Clayton Remote ParkingN/A N/A 3,087,279 1,763,472 3,400,519 1,942,397 3,513,428 2,006,891Will Clayton Remote Parking Shuttle N/A N/A 274,278 156,669 302,107 172,565 312,138 178,295CRC Center w/Expansion N/A N/A N/AN/A N/A N/A 3,256,995 1,758,777CRC Shuttle w/ExpansionN/A N/A N/A N/A N/A N/A 306,655 165,594Source: New South Parking, 2005 and Jacobs, October 2008.HAS6086-9Table 6-2bFUTURE TERMINAL CURBSIDE TRAFFIC AT IAHHAS Emissions Inventory StudyCurbsideType2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017 OzoneSeason2018Annual2018OzoneSeasonTerminal A Departures Public/Taxi 1,962,022 1,104,619 2,243,872 1,263,300 2,350,518 1,323,342 2,405,673 1,354,394Terminal B Departures Public/Taxi 1,049,814 591,046 1,176,549 662,397 1,213,447 683,170 1,236,354 696,068Terminal C Departures Public/Taxi 1,664,844 937,307 1,802,244 1,014,664 1,857,370 1,045,699 1,901,423 1,070,501Terminal D Departures Public/Taxi 1,529,176 860,926 1,610,086 906,478 1,673,016 941,908 1,726,405 971,966Terminal E Departures Public/Taxi 1,481,369 834,011 1,835,282 1,033,264 1,990,368 1,120,577 2,048,703 1,153,420Terminal A Arrivals Public/Taxi 3,134,584 1,764,771 3,417,050 1,923,799 3,416,481 1,923,479 3,443,234 1,938,541Terminal B Arrivals Public/Taxi 1,426,456 803,094 1,565,586 881,425 1,595,982 898,538 1,622,055 913,217Terminal C Arrivals Public/Taxi 3,750,260 2,111,396 4,146,578 2,334,524 4,310,599 2,426,867 4,417,061 2,486,805Terminal D Arrivals Public/Taxi 2,168,755 1,221,009 2,277,584 1,282,280 2,286,652 1,287,385 2,322,788 1,307,729Terminal E Arrivals Public/Taxi 1,513,671 852,197 1,868,994 1,052,244 2,013,413 1,133,551 2,066,865 1,163,645Terminal A Departures Shuttle 177,661 100,023 185,416 104,389 181,062 101,938 181,623 102,254Terminal B Departures Shuttle 177,661 100,023 185,416 104,389 181,062 101,938 181,623 102,254Terminal C Departures Shuttle 339,171 190,953 353,976 199,289 345,664 194,609 346,734 195,211Terminal D Departures Shuttle 226,114 127,302 235,984 132,859 230,443 129,739 231,156 130,141Terminal E Departures Shuttle 242,265 136,395 252,840 142,349 246,903 139,006 247,667 139,437Terminal A Arrivals Shuttle 387,624 218,232 404,544 227,758 395,045 222,410 396,267 223,099Terminal B Arrivals Shuttle 258,416 145,488 269,696 151,839 263,363 148,274 264,178 148,732Terminal C Arrivals Shuttle 565,285 318,255 589,960 332,148 576,107 324,348 577,890 325,352Terminal D Arrivals Shuttle 226,114 127,302 235,984 132,859 230,443 129,739 231,156 130,141Terminal E Arrivals Shuttle 371,473 209,139 387,688 218,268 378,585 213,143 379,756 213,803Source: 2006 DMJM George Bush Intercontinental Airport Master Plan.

### HAS608 

# 6-10 6.4.2 William P. Hobby Airport

Parking counts were performed in the followi ng lots: public parking lots, employee

parking lots, rental car lots, and taxicab lot:

 

# Public Parking Lots. Daily parking counts for ea ch day in the year 2005 were

obtained from New South Parking—the private operator managing Cityowned public parking lot operations at HOU. This was aggregated to annual

and ozone season counts.

 

# Employee Parking Lots. 24-hour parking counts were done for one weekday

in October 2008. Annual and ozone seas on parking counts were estimated by

multiplying the daily counts with number of days in an annual and ozone

season, respectively.

 

# Rental Car Lots. Daily transactions were obtain ed for the three on-Airport

rental car lots. The daily count was a nnualized by multiplying by 365 days in

the year. Ozone season trips were estimate d based on the proportion of annual

commercial scheduled operations that take place in the ozone season.

 

# Taxicab Lot

. Monthly data for taxicab trips were obtained from HOU. The

monthly data was totaled to get annual trips for 2005. Ozone season trips were

estimated based on the proportion of annual commercial scheduled operations

that take place in the ozone season.

Table 6-3 shows the traffic volumes, types, sp eeds, and idle times for each parking lot.

Future parking demand is expected to gr ow in the same relation as commercial

scheduled operations. Demand for public and employee lots were grown

proportionally to the growth in scheduled op erations. Typically, rental shuttles do not

grow in direct 1 to 1 relation to passenger demand but in a step-wise function every few

years. Accordingly, rental shuttle trips were grown at half the rate of scheduled

operations. Table 6-4 shows the future park ing demand at HOU. Figure 6-2 shows the

location of the on-airport parking facilities at HOU.HAS6086-11HAS6086-12Table 6-32005 PARKING LOT PARAMETERS AT HOUHAS Emissions Inventory StudyParking LotLot TypeSpeed(mph)DistanceTraveled(feet)IdleTime(mins)Vehicle TypeFuelType2005AnnualSeason2005OzoneSeasonAvis Rental CarRental10332.21.5Light Duty VehiclesGasoline109,50063,213Avis ShuttleRental10332.21.5Light Duty Trucks 2Diesel15,7399,086Budget Rental CarRental10199.01.5Light Duty VehiclesGasoline73,00042,142Budget ShuttleRental10186.21.5Light Duty Trucks 2Diesel15,7399,086Cargo Lot 2Employee10404.21.5Light Duty VehiclesGasoline410,625221,625Economy LotPublic10598.61.5Light Duty VehiclesGasoline179,05494,658Employee Lot 1Employee10886.11.5Light Duty VehiclesGasoline796,430429,854Management LotEmployee10218.51.5Light Duty VehiclesGasoline182,13598,303National Rental CarRental10300.21.5Light Duty VehiclesGasoline54,75031,607National ShuttleRental10405.41.5Light Duty Trucks 2Diesel15,7399,086Parking Garage LongPublic10405.41.5Light Duty VehiclesGasoline660,954376,991Parking Garage ShortPublic10610.51.5Light Duty VehiclesGasoline51,21326,540Taxicab LotTaxi10756.82Light Duty VehiclesGasoline181,258104,638HAS6086-13Table 6-4FUTURE PARKING LOT TRAFFIC AT HOUHAS Emissions Inventory StudyParking Lot2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonAvis Rental Car 109,500 63,213103,78559,914106,42461,437112,20564,775Avis Shuttle83,940 48,45881,75047,19482,76147,77784,97749,057Budget Rental Car 73,000 42,14269,19039,94370,94940,95874,80343,183Budget Shuttle 83,940 48,45881,75047,19482,76147,77784,97749,057Cargo Lot 2410,625 221,625399,910215,842404,857218,512415,697224,362Economy Lot179,054 94,658169,70989,718174,02491,999183,47796,996Employee Lot 1 796,430 429,854775,648418,637785,243423,816806,267435,163Management Lot 182,135 98,303177,38295,738179,57796,922184,38599,517National Rental Car 54,750 31,60751,89329,95753,21230,71956,10232,388National Shuttle 83,940 48,45881,75047,19482,76147,77784,97749,057Parking Garage Long 660,954 376,991626,460357,316642,386366,400677,282386,304Parking Garage Short 51,213 26,54048,54025,15549,77425,79452,47827,196Taxicab Lot181,258 104,638171,79899,177176,166101,698185,736107,223

### HAS608 

# 6-14 6.4.3 Ellington Field

The only parking lots that exist at EFD are for airport employees and tenants. Table 6-5

shows the traffic volumes, types, speeds, and idle times for each parking lot.

Operations staff at EFD provided an average daily parking count for two parking lots.

Annual and ozone season parking counts were estimated by multiplying the daily

counts with number of days in an annual and ozone season, respectively. It was

assumed that other parking lots had sim ilar parking occupancy proportion. This

proportion was applied to the total parking space to obtain parking demand for the

other lots.

Only general aviation operations are expected to grow at EFD. The Southwest Airport

Services Fixed Base Operator (FBO) parking lot is expected to have proportional

increase in parking demand. Demand for a ll other employee lots are expected to stay

constant. Table 6-6 shows the future parkin g demand at EFD. Figure 6-3 shows the

location of the on-airport parking facilities at EFD.HAS6086-15HAS6086-16Table 6-52005 PARKING LOT PARAMETERS AT EFDHAS Emissions Inventory StudyParking LotLot TypeSpeed(mph)DistanceTraveled(feet)IdleTime(mins)Vehicle TypeFuelType2005Annual2005OzoneSeasonHAS Parking LotEmployee10 175.0 1.5 Light Duty Vehicles Gasoline 83,825 45243NASA Lot Employee10 239.0 1.5 Light Duty Vehicles Gasoline 125,738 67864Southwest Lot Employee10 172.5 1.5 Light Duty Vehicles Gasoline 10,950 8510Texas ANG Lot Employee10 529.0 1.5 Light Duty Vehicles Gasoline 36,500 19700Volo Aviation(b)Employee10 157.0 1.5 Light Duty Vehicles Gasoline N/A N/AMilitary Joint Reserve Center Employee10 148.0 1.5 Light Duty Vehicles Gasoline 125,925 67965NASA North Lot Employee10 498.7 1.5 Light Duty Vehicles Gasoline 155,077 83699NASA Main Lot Employee10 202.1 1.5 Light Duty Vehicles Gasoline 164,507 88789HAS Multi-tenant Parking Employee10 250.0 1.5 Light Duty Vehicles Gasoline 250,427 135163HAS Airport Services Employee10 276.0 1.5 Light Duty Vehicles Gasoline 183,367 98969ANG = Air National Guard(a)Parking counts for HAS, Volo Aviation and NASA Lot derived from parking occupancy for Southwest Lot(b)Volo aviation didn’t exist in 2005(c)Parking counts for Military Joint Reserve Center derived from parking occupancy for Texas ANG lotHAS6086-17Table 6-6FUTURE PARKING LOT TRAFFIC AT EFDHAS Emissions Inventory StudyParking Lot2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonHAS Parking Lot83,82545,24383,82545,243 83,82545,24383,82545,243NASA Lot125,73867,864125,73867,864 125,73867,864125,73867,864Southwest Lot13,55210,53214,85311,543 16,11812,52616,51512,835Texas ANG Lot36,50019,70036,50019,700 36,50019,70036,50019,700Volo Aviation116,88690,839128,10799,558 139,018108,037142,442110,702Military Joint Reserve Center 133,67272,146137,72274,332 141,89576,585143,31477,351NASA North Lot155,07783,699155,07783,699 155,07783,699155,07783,699NASA Main Lot164,50788,789164,50788,789 164,50788,789164,50788,789HAS Multi-tenant Parking 250,427135,163250,427135,163 250,427135,163250,427135,163HAS Airport Services183,36798,969183,36798,969 183,36798,969183,36798,969ANG = Air National Guard.

# Section 7

**ROADWAY TRAFFIC**

### HAS608 

# 7-1 

# Section 7

ROADWAY TRAFFIC

7.1 INTRODUCTION

Roadway emissions account for all emission s generated by roadway vehicular traffic

activity associated with the airports. Al l roadway-related activity is segregated

between vehicular activity that occurs with in the airport boundary (i.e., on airport

roadway) and vehicular activity generated by the airport-related activity that occurs

beyond the airport boundary. Emissions are a product of the traffic volume, emission

factors, and the distance trav eled. Emission factors are a function of the speed and the

vehicle class.

7.2 METHODOLOGY

To quantify roadway emissions, vehicular activity was modeled for on- and off-airport

roadways.

7.2.1 On-Airport Roadways

The category of on-airport roadways includes all vehicular activity that occurs within

the airport boundary. To estima te emissions, the different classes of vehicular traffic on

airport roadways are analyzed individually. All on-airport roadways vehicular traffic

is segregated by vehicle class and/or purpose of trip. For example, even though all

shuttle vans belong to the same vehicle cl ass (LDDT), they are segregated by hotels,

parking, and rental since their trip leng ths are different depending upon the trip

purpose.

Traffic volumes are estimated by vehicle cla ss and trip purpose. Specific emission

factors, corresponding to average speed and vehicle class on the roadway, are derived

for each vehicle class using MOBILE6.2. Em issions are computed by multiplying the

traffic volume by vehicle cla ss with the associated emissi on factor (in grams/vehiclemile) and travel distance on the roadway. The following classes of roadway vehicular

traffic were accounted for:

 

# Passenger Cars

 

# Taxicabs

 

# Limos

 

# Rental Shuttle/Bus

 

# Hotel Shuttle

 

# Parking Shuttle

 

# Airline/Airport Employee Shuttle

 

# Charter/Public Bus

 

# Cargo Trucks

### HAS608 

# 7-2 7.2.2 Off-Air port Roadway

All vehicular activity beyond the airport bound ary that is related to airport activity is

modeled using a more generalized approach th an the on-airport vehi cular activity. All

light duty vehicles—passenger cars, taxi cabs, and limos—are characterized using a

single emission factor. The average distance traveled by light duty vehicles off airport

property to and from the airport depends on th e point of origin of the trip. However, it

is beyond the scope of this study to conduc t large-scale surveys or use travel demand

models to estimate the origin and destination of trips. A simple assumption is made for

the origin of all light duty vehicles trips to estimate the average travel distance from the

airport. Since downtown Houston is one of the largest contributors of trips to each of

the airports the geographic center of the region, and a very dense commercial area, an

average distance to downtown Houston from each of the airports was used as a

representative travel distance for all light duty vehicles. For each of the other classes of

vehicles on off-airport roadways—rental, hotel, and parking shuttle—an average

distance to and from the airport boundary to clusters of each of the facilities served by

the shuttles was derived and used as the average travel distance.

7.3 ROADWAY EMISSION FACTORS

Emission factors for roadways are input into EDMS as grams/vehicle-mile. As

described in Chapter 6, EDMS has a built-in on-road emission factor model to generate

emissions factors for motor vehicles. Th e built-in model is a basic version of

MOBILE6.2. It cannot be customized to local conditions and calculates emission factors

based on the manufactured year of the vehicle.

To account for local air quality agency inpu t requirements (i.e., local temperatures and

Inspection Maintenance programs, among othe rs), the latest version of MOBILE6.2 was

used outside EDMS to calculate speed-depen dant emission factors for on-road motor

vehicles in Harris County. MOBILE6.2 uses average vehicle travel speed and vehicle

class distribution data to produce emission factors in units of grams per vehicle-mile for

CO, VOCs, NO

x 

# , SO 2 

# , PM 10 

# , and PM 2.5 

# . [Personal communications with TCEQ staff

[Kite, 2008] and sample MOBILE6.2 inpu t data files from TCEQs website].

The emission factors are dependent on the average speed of the roadway and vehicle

class. Speed-dependant emission factors, derived from MOBILE6.2, along with traffic

volume and distance traveled on the roadwa y, are used to compute roadway emissions.

For emissions quantification, the total emissi ons are the product of the traffic volumes

on the roadway, the emission factor, and the distance travel ed by each vehicle on the

roadway. The average speed and the vehi cle class are the parameters needed to

compute the emission factors. The other pa rameters are manufactured year, elevation,

and the average daily high and low tempe ratures, which come from the airport’s

weather data. Please refer to Appendix E, Estimation of Emissions from Roadway

Traffic, for more details.

### HAS608 

# 7-3 7.3.1 On-Airport Roadway

Each vehicle class was modeled separately for the on-airport roadways. The on-airport

network used an airport-specific vehicle mi x of Light Duty Gas Vehicles (LDGV), Light

Duty Gas Trucks (LDGT), Light Duty Diesel Vehicles (LDDV), and Light Duty Diesel

Trucks (LDDT). Roads used by shuttle va ns taking passengers to the hotels and

employee parking lots were represented by the LDDT classification; roads used by

rental car shuttle buses taking passengers to the rental car facilities were represented by

the Urban Bus classification; and roads used by cargo trucks taking cargo to the cargo

terminal were represented by the Heavy Du ty Diesel Vehicle (HDDV8A) classification.

7.3.2 Off-Air port Roadway

The off-airport network used a Harris County-sp ecific mix of all vehicle categories as

shown in Table 7-1.

Table 7-1

VEHICLE CLASS

HAS Emissions Inventory Study



# Vehicle Class MOBILE6.2 Vehicle Type

On-Airport Roadways

Passenger Vehicles LDGV, LDGT, LDDV, LDDT

Shuttle Vans LDDT

Shuttle Buses Urban Bus

Cargo Trucks HDDV8A

Off-Airport Roadways

Passenger Cars/Taxis/Limos All MOBILE6.2 categories

Shuttle Vans LDDT

Cargo Trucks HDDV8A



# 7.3.3 Average Speed

For each roadway section, the posted speed limit on the roadway was used as the

average speed of vehicles traveling on the roadway.

7.4 ROADWAY EMISSION PARAMETERS

Roadway emission parameters are summarized for IAH, HOU, and EFD.

7.4.1 George Bush Intercontinental Airport

Traffic counts for on- and off-Airport road ways are described wi thin the following

section.

### HAS608 

# 7-4 On-Airport Roadways . Direct access to the Airport is provided by John F. Kennedy

Boulevard from the south and Will Clayton Parkway from the east. The on-Airport

roadway network was divided into a series of sections based on the 2006 Master Plan.

The annual traffic volumes on each of the se ctions were determined from 24-hour traffic

counts conducted for a week in February 2004 as part of the 2006 Master Plan. The

maximum 24-hour traffic coun ts within the week period were used and the annual

volumes were determined by multiplying by 365. Traffic volumes on each roadway

section were further divided by vehicle cl ass based on a vehi cle classifications

determined during the 2004 study. Table 7-2 shows the vehicle classifications. Cargo

truck traffic volumes were included based on information within the 2006 Master Plan,

which includes cargo facility expansion.

Table 7-2

VEHICLE CLASS MIX AT IAH

HAS Emissions Inventory Study



# Vehicle Class Percent

Auto 84%

Parking Shuttle 9%

Taxis and Limos 4%

Buses 2%

Hotel Shuttles 1%

Source: 2006 DMJM George Bush

Intercontinental Airport Master Plan.



# To obtain the weighted average distance trav eled, the length of each roadway section

was weighted by the total traffic volume on th at roadway section. For example, if 100

vehicles traveled a 10-mile roadway section and another 50 vehicles traveled another

5-mile section, then the average distance trav eled by sum of both vehicle counts (150 in

this case) is (100*10 + 50*5)/(100 + 50) = 8.33 m iles. Similarly, the average distance by

all vehicles in an annual or ozone season weekday was computed to be 0.80 mile during

2005, 2011, and 2014 and 1.02 mile during 2017 and 2018 as a result of future roadway

modifications as part of the Ma ster Plan. It represents the average distance traversed by

each vehicle on an on-Airport roadway.

The 2004 traffic count did not account for re ntal shuttle buses and the COA employee

shuttle. The Consolidated Rental Car Ce nter was not operational in 2004. Traffic

counts were done for a weekday in Octobe r 2008 to estimate daily volumes for the

rental shuttle bus and COA employee shuttl e. Shuttle trips were assumed to be

### HAS608 

# 7-5 constant throughout the year. Daily tr ips were grown to annual numbers by

multiplying with 365, reflecting the days in the year. Shuttle trips were assumed to

have not changed since 2005.

Off-Airport Roadways. Vehicles with significant activity beyond the Airport boundary

were analyzed to establish their off-Airport travel distance. A ll light duty vehicle—

passenger cars, taxicabs, and limos—were an alyzed collectively. Hotel and parking

shuttle trips were analyzed separately. Since the rental car facility is on the Airport

property, all rental shuttle bus trips are contained within the Airport boundary. An

average distance to and from the Airport boundary to each of the facilities served by the

hotel and parking shuttles was derived and us ed as the average travel distance. Cargo

truck traffic volumes were included based on information within the 2006 Master Plan,

which includes cargo facility expansion.

Table 7-3 shows the total vehicle miles travel ed (VMT) by vehicle class for on and offAirport roadways during 2005. Table 7-4 shows the projected future vehicle miles

traveled by vehicle class for on- and off-A irport roadways and reflect changes in

volume and the roadway configuration. Future traffic volumes were based on

enplanements forecast within the FAA 2008 Terminal Area Fo recast. Future roadways

were developed based on preliminary information prepared for the Master Plan and

Capital Improvement Plan EIS. Figure 7-1 shows the baseline traffic volumes and

speeds for each roadway section.

As part of the 2006 Master Plan, future ro adway modifications include Greens Road,

Rankin Road, Cargo Spine Road, Warehouse Dr ive, Volta Drive, the Terminal Loop

Road, and Humble Parkway at IAH. Thes e modifications may include intersection

improvements, widening, and/or co nnections or additional length.

### HAS608 

# 7-6 Table 7-3

2005 ROADWAY PARAMETERS AT IAH

HAS Emissions Inventory Study

Vehicle Class Average

Distance

(miles) Average Speed

(mph) (a) 2005

Annual

VMT 2005 Ozone

Season

Weekday

VMT

On-Airport

Passenger Car 0.80 42 103,524,733 58,232,664

Taxis and Limos 0.80 42 4,929,749 2,772,984

Parking Shuttle 0.80 42 11,091,938 6,239,215

Hotel Shuttle 0.80 42 1,232,438 693,246

Charter Bus 0.80 42 2,464,874 1,386,490

Cargo Trucks 4.0 35 16,533,156 9,299,900

COA Employee Shuttle 8.5 35 2,140,725 1,204,161

CRC to Terminal A/B 4.6 35 395,126 222,258

CRC to Terminal C/D 5.0 35 429,485 241,585

CRC to Terminal E 5.6 35 481,023 270,575

Off Airport

Passenger Car 20.0 (b) 45 575,138,684 323,515,519

Taxis and Limos 20.0 (b) 45 27,387,556 15,405,501

Parking Shuttle 1.6 45 4,929,760 2,772,990

Hotel Shuttle 0.4 45 136,938 77,028

Charter Bus 20.0 (b) 45 13,693,780 7,702,760

Cargo Trucks 20.0 (b) 45 82,665,780 46,499,500

Source: 2006 DMJM George Bush In tercontinental Airport Master Plan

(a) Represents overall average speed weighted by volume. Speed varies by roadway section.

Figure 7-1 shows average speed by roadway section

(b) Represents shortest distance from the airport to downtown Houston.HAS6087-7Table 7-4FUTURE ROADWAY VEHICLEMILES TRAVELED AT IAHHAS Emissions Inventory StudyVehicle Class2011 Annual2011 OzoneSeasonWeekday2014Annual2014 OzoneSeasonWeekday2017 Annual2017 OzoneSeasonWeekday2018 Annual2018 OzoneSeasonWeekdayOn-AirportPassenger Car113,042,38763,586,344125,538,64170,615,486134,134,77475,450,811138,588,47777,956,019Taxis and Limos5,382,9713,027,9215,978,0313,362,6426,387,3703,592,8966,599,4513,712,191Parking Shuttle11,601,8096,526,01812,271,2526,902,58012,565,6627,068,18512,804,2527,202,392Hotel Shuttle1,289,090725,1131,363,472766,9531,396,185785,3541,422,695800,266Charter Bus2,578,1451,450,2262,726,9461,533,9082,792,3691,570,7082,845,3931,600,531Cargo Trucks19,836,77611,158,18822,019,56012,386,00024,679,85613,882,42025,521,06414,355,600COA Employee Shuttle 2,239,1301,259,5132,368,3301,332,1882,500,0291,406,2662,547,4931,432,964CRC to Terminal A/B 413,287232,475437,133245,888461,444259,560470,203264,491CRC to Terminal C/D 449,225252,690475,145267,270501,570282,130511,090287,490CRC to Terminal E503,132283,013532,162299,342561,758315,986572,421321,989Off AirportPassenger Car628,014,679353,258,258697,438,445392,309,133889,423,787500,300,884918,976,413516,924,232Taxis and Limos29,905,46116,821,82233,211,35518,681,38742,353,51423,823,85243,760,78224,615,440Parking Shuttle5,156,3732,900,4595,453,9013,067,8195,757,1743,238,4115,866,4883,299,899Hotel Shuttle143,23380,568151,49785,217159,92189,956162,95891,664Charter Bus14,323,2608,056,82015,149,7208,521,74015,992,1608,995,58016,295,8009,166,380Cargo Trucks99,183,88055,790,940110,097,80061,930,000123,399,28069,412,100127,605,32071,778,000Source: 2006 DMJM George Bush Intercontinental Airport Master Plan.HAS6087-8

### HAS608 

# 7-9 7.4.2 William P. Hobby Airport

Traffic counts for on- and off-Airport roadways are described below.

On-Airport Roadways . HOU is bounded by Airport Bo ulevard on the north, Monroe

Road on east, Braniff Street on the sout h, and Telephone Road on the west. The

terminal area on-Airport roadway is mainly comprised of a two-level loop road. The

upper level road serves departing passengers and the lower level road serves arriving

passengers, providing curbside access to tick eting and baggage claim, respectively. The

loop road also provides access to em ployee parking and the parking garage.

Curbside peak hour traffic numbers, cate gorized by vehicle operator, for the year 2001

were obtained from the 2003 Master Plan. Peak hour volumes for passenger cars were

converted to daily traffic volumes based on a rat io of peak hour to daily traffic obtained

from a 24-hour traffic count conducted at IAH. All shuttle trips were assumed to run

for 14 hours a day (7:00 a.m. to 9:00 p.m. represents the bulk of passenger activity) with

the same frequency. The daily traffic volume s were considered to be representative of

an average day and were annualized by mu ltiplying by 365 days in the year. The 2001

annual traffic volumes were adjusted to 2 005 peak numbers based on the growth of

commercial scheduled operations derived from FAA’s 2008 TAF.

Three of the rental car operators are locate d within the Airport boundary. Thus, the

entire trip of their shuttle buses is containe d within Airport property. All other shuttle

operators—hotel, parking, and rental c ar—only operate on-Airport when traveling

along the loop road. All taxicabs, charter buses, and limos also operate on the loop

road. Thus, the on-Airport travel distance of each of these vehicles is the length of the

loop road.

Off-Airport Roadways . Vehicles that serve a function resulting in significant activity

beyond the Airport boundary were analyzed to determine off-Airport travel distances.

All light duty vehicles—passenger cars , taxicabs and limos—were considered

collectively. Hotel, rental car and parking sh uttle trips were also analyzed as a group.

Three of the six rental car operators operat e outside the Airport boundary. An average

distance to and from the Airpor t boundary to each of the off-Airport rental car facilities

served by the shuttles was derived and used as the average travel distance.

Table 7-5 shows the total traffic volume by vehicle class for on and off-Airport

roadways. Figure 7-2 shows the detailed tra ffic volumes, distances, and speeds for each

roadway section.HAS6087-10

### HAS608 

# 7-11 Table 7-5

2005 ROADWAY PARAMETERS AT HOU

HAS Emissions Inventory Study

Vehicle Class Average

Distance

(miles) Average Speed

(mph) (a) 2005

Annual

Traffic

Volume 2005 Ozone

Traffic

Volume

On-Airport

Hotel Shuttle 0.79 35 104,925 60,572

Passenger Cars - Lower Loop 0.79 35 1,198,798 692,053

Rental Shuttle for Alamo 1.93 35 83,940 48,458

Rental Shuttle for Avis 1.5 35 83,940 48,458

Rental Shuttle for Budget 1.55 35 83,940 48,458

Taxicabs 0.75 35 181,258 104,638

Passenger Cars - Upper Loop 0.79 35 1,282,924 740,618

Limo 0.75 35 84,126 48,565

Charter Bus 0.75 35 42,063 24,283

Other Rental Shuttle 0.79 35 141,649 81,772

Parking Shuttle 0.79 35 445,931 257,431

Air Cargo Trucks 0.33 35 658 380

Off Airport

Parking Shuttle 0.74 35 445,931 257,431

Hotel Shuttle 1.16 35 104,925 60,572

Light Duty Vehicles 10.1 (b) 45 2,789,169 1,610,157

Rental Shuttle 1.93 35 141,649 81,772

Air Cargo Trucks 10.1 45 658 380

(a) Average speeds represent the posted speed limit on the roadway

(b) Represents shortest distance from the airport to downtown Houston.



# Future roadway traffic is expected to grow in the same proportion as commercial

scheduled operations. Passenger cars, taxicabs, and limo trips were grown

proportionally as commercial scheduled op erations. Typically, hotel, rental, and

parking shuttles do not grow in direct relati on to passenger activity. All shuttle trips

were grown at half the rate of growth in commercial scheduled operations.

Table 7-6 shows the future roadway traffic demand at HOU.HAS6087-12Table 7-6FUTURE ROADWAY TRAFFIC VOLUMES AT HOUHAS Emissions Inventory StudyVehicle Class2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayOn-AirportHotel Shuttle102,187 58,991 103,451 59,721 106,221 61,320 107,181 61,874Passenger Cars - Lower Loop1,136,234 655,935 1,165,120 672,611 1,228,412 709,149 1,250,347 721,812Rental Shuttle for Alamo81,750 47,193 82,761 47,77784,977 49,056 85,745 49,500Rental Shuttle for Avis81,750 47,193 82,761 47,77784,977 49,056 85,745 49,500Rental Shuttle for Budget81,750 47,193 82,761 47,77784,977 49,056 85,745 49,500Taxicabs171,798 99,177 176,166 101,699 185,736 107,223 189,052 109,138Passenger Cars - Upper Loop1,215,970 701,966 1,246,883 719,812 1,314,616 758,913 1,338,090 772,465Limo79,736 46,031 81,763 47,20186,204 49,765 87,743 50,653Charter Bus39,868 23,015 40,881 23,60043,102 24,882 43,872 25,327Other Rental Shuttle134,256 77,505 137,670 79,475 145,148 83,792 147,740 85,289Parking Shuttle434,295 250,714 439,667 253,815 451,439 260,611 455,519 262,966Air Cargo Trucks781 451 1,010 583 1,423 821 2,064 1,192Off AirportParking Shuttle434,295 250,714 439,667 253,815 451,439 260,611 455,519 262,966Hotel Shuttle102,187 58,991 103,451 59,721 106,221 61,320 107,181 61,874Light Duty Vehicles2,643,605 1,526,124 2,710,813 1,564,923 2,858,070 1,649,932 2,909,104 1,679,394Rental Shuttle134,256 77,505 137,670 79,475 145,148 83,792 147,740 85,289Air Cargo Trucks434,295 250,714 439,667 253,815 451,439 260,611 455,519 262,966

### HAS608 

# 7-13 7.4.3 Ellington Field

Traffic counts for on- and off-Airport roadways are described below.

On-Airport Roadways . The main entrance to EFD is via Challenger 7 Parkway from

State Highway 3. The only other public roadway access to EFD is from the Hilliard

Street to the North and the B rantley Avenue to the South.

The Texas Air National Guard (TxANG), NA SA, and FBOs are the main generators of

vehicular activity at the Airport. Operations staff at the Airport provided an average

daily demand for each of these sources of ve hicular activity. Annual and ozone season

traffic demand were estimated by multiplyin g the daily volumes with number of days

in a year (365) and ozone seas on (197), respectively. All vehicular activity was assumed

to be light duty vehicles.

The trips were distributed on the roadway ne twork within the Airport boundary based

on the location of the trip generators. The TxANG and the Southwest FBO facility exist

to the north of the Airport. All vehicular traffic to both facilities was assumed to use the

main entrance to access the facility. All traffic to the NASA facility was assumed to

come in through Brantley Avenue due to it s southern location. The travel distances

were determined based on the shortest route from the entrance to the Airport to each

facility.

Off-Airport Roadways . Emissions from vehicular activi ty that are significant beyond

the Airport boundary were quan tified. All light duty vehicles(i.e. passenger cars)were

considered collectively.

Table 7-7 shows the total traffic volume by roadway section for on and off-Airport

roadways. Figure 7-3 shows the detailed tra ffic volumes, distances, and speeds for each

roadway section.HAS6087-14

### HAS608 

# 7-15 Table 7-7

2005 ROADWAY PARAMETERS AT EFD

HAS Emissions Inventory Study



# Vehicle Class Average

Distance

(miles) Average Speed

(mph) (a) 2005

Annual

Traffic

Volume 2005

Ozone

Traffic

Volume

On-Airport

Light Duty Vehicles 0.87 35 377,338 206,260

Off Airport

Light Duty Vehicles 18.7 (b) 45 377,338 206,260

(a) Average speeds represent the posted speed limit on the roadway

(b) Represents shortest distance from the airport to downtown Houston.



# General aviation activity is expected to grow at EFD. Vehicular traffic operations to the

Southwest FBO facility were grown proportionally to the general aviation growth.

Demand for NASA and TxANG facility is expect ed to remain constant. Table 7-8 shows

the future roadway traffic demand at EFD.HAS6087-16Table 7-8FUTURE ROADWAY TRAFFIC VOLUMES AT EFDHAS Emissions Inventory StudyVehicle Class2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonOn-AirportLight Duty Vehicles437,124272,228467,017290,844496,080308,944505,214314,632Off AirportLight Duty Vehicles437,124272,228467,017290,844496,080308,944505,214314,632

# Section 8

**KEY STATIONARY SOURCES**

### HAS608 

# 8-1 

# Section 8

KEY STATIONARY SOURCES

8.1 INTRODUCTION

A number of stationary emi ssion sources exist at the th ree airports operated by

HAS. The EDMS databases contain emission factors for a number of broad

categories of combustion and non-combus tion stationary sources typically found

at airports. Each of these broad categories is further divided into sub-categories

based on type of fuel consumed, equipmen t type, or the pollutant emitted. For

example, fuel storage tanks have different emission factors for each fuel type, i.e.,

Jet A fuel, aviation gasoline (AvGas), motor diesel fuel, and motor gasoline

(MOGAS).

This inventory considered only key so urces of stationary emissions, which

include: 1) HAS-owned boilers and ge nerators; 2) HAS-owned incinerator at

IAH, 3) firefighter training fires; and 4) emissions from aircraft fuel storage tanks.

There were a number of other stationary so urces located at each airport, but they

were not included in this study because of a lack of readily available data. The

stationary sources not included in this study are: 1) aircraft engine testing areas;

2) deicing operations; 3) salt/sand piles; and 4) painting and solvent degreasing

activities. It should be noted that, excl uding fueling emissions, the key stationary

sources are HAS owned or operated. With the exception of fueling emissions,

this inventory did not collect emissions data pertaining to Airport tenants.

8.2 METHODOLOGY

Emissions inventories of on-airport stat ionary sources were developed based on

data obtained from a number of HAS re sources. The annual emissions for the

HAS-owned on-airport stationary sources were calculated using the

methodologies described in Appendix H of the Air Quality Procedures for

Civilian Airports and Air Force Bases. These methodologies are taken from the

U.S. EPA’s Compilation of Air Pollutant Em ission Factors, also known as AP-42.

Annual emissions were computed based on the product of the actual annual fuel

consumption or fuel throughput for a ca lendar year. The specific methodologies

for computing stationary source emission s vary by source type and are described

below.

8.2.1 Boilers

Pollutant emissions from boilers were ca lculated using a methodology based on

fuel consumption and pollutant emission fa ctors. Emissions of each pollutant

were calculated by multiplying the annu al fuel consumption by the emission

factor specific to each pollutant. Emissi on factors for most stationary combustion

sources found at airports are available in EDMS and are taken from Sections 1.1–

1.5 of Volume I of U.S. EPA’s AP-42 document. No space heaters were included

### HAS608 

# 8-2 in this analysis as no data for this source type was available. Boiler type, fuel

type, and annual fuel consumption data were provided by HAS staff.

8.2.2 Emergency Generators

Emissions from emergency generators were calculated based on one of two

methodologies provided in EDMS: U.S. EPA’s AP-42 method, which calculates

emissions based on the capacity ratin g of generator engines and hours of

operation, and the U.S. Air Force’s (USA F) method, which calculates emissions

based on the amount of fuel consumed. The choice of method depended on the

type of data that were available. Please see Appendix F- Estimation of Emissions

from Stationary Sources, for more information.

8.2.3 Incinerators

Pollutant emissions from incinerators were calculated by multiplying the mass of

waste burned by the emission factor for each specific pollutant. Based on a lack

of readily available data, the only inci nerator included in the analysis was

located at IAH.

8.2.4 Training Fires

Pollutant emissions from training fire s were calculated by multiplying the

amount of fuel burned by the emission factor for each specific pollutant.

Training fires were conducted at IAH an d HOU, but none were conducted at

EFD.

8.2.5 Fuel Storage Tanks

The general methodology for calculatin g storage tank hydrocarbon emissions

may be expressed as the sum of the stan ding storage emissions plus the working

emissions. The methodologies for calc ulating standing st orage and working

emissions are different for each tank type. These methodologies are described in

the Section 7.1, Volume I of AP-42, and are implemented in EDMS based on the

U.S. EPA computer model TANKS.

8.2.6 Cooling Towers

The general methodology for calculating cooling tower particulate matter

emissions may be expressed as the sum of the usage and the emissions factor

from AP-42, Section 13.4. Cooling towers (four units) are located at IAH only.

8.3 STATIONARY SOURC ES EMISSION PARAMETERS

Stationary sources emission parameters are summarized below for IAH, HOU,

and EFD.

8.3.1 George Bush Intercontinental Airport

The major contributors of emissions at IAH are fuel storage tanks, boilers,

emergency generators, incinerators, cooling towers, and training fires. Table 8-1

### HAS608 

# 8-3 shows the 2005 stationary sources usage at IAH. Table 8-2 shows the future

stationary sources usage at IAH.

Fuel Storage Tanks . There are 10 horizontal fuel storage tanks that store Jet A

fuel. Monthly fuel consumption data for 2005 was obtained from the HAS.

Default emission factors in EDMS were used to estimate emissions. Ozone

season weekday fuel consumption was derived from monthly fuel consumption

data for 2005. In order to be conser vative, it was assumed that all fuel

consumption in the ozone season months occurs during the weekdays. This

analysis did not include emissions associ ated with the storage and handling of

vehicle fuels. Annual fuel storage throughput for the future years were

estimated based on the number of aircraft operations.

Boilers . There are two boilers at IAH. These boilers were modeled in EDMS as

Controlled Wall Fired boilers with hourly consumption of less than 100 million

British Thermal Units (BTUs). The volu me of natural gas in cubic meters

consumed in the calendar year 2007 and ozone season was obtained from HAS

staff. Boiler usage was assumed to be the same in 2005 as 2007. Emission factors

in EDMS used information provided by HAS, which included vender supplied

and AP-42 emission factors. Annual boiler usage for the future years were

estimated based on the estimated terminal size (an increase of 33% by 2017),

which is projected to expand as p art of the Capital Improvement Plan.

Emergency Generators . There are nine emergency generators at IAH, four of

which run on natural gas an d the remaining five on diesel. For the natural gas

generators, the volume of natural gas consumed (in cubic meters) for the

calendar year 2007 and ozone season was obtained. The emissions for the diesel

generators were determined by the hours of usage. The hours of usage were

obtained for calendar year 2007 and the ozone season. Emergency generator

usage is assumed to be the same in 2005 as 2007. Annual generator usage for the

future years were estimated based on the estimated terminal size (an increase of

33% by 2017), which is projected to expand as part of the Capital Improvement

Plan.

The emissions from natural gas and di esel generators were modeled in EDMS

using USAF and U.S. EPA methodology, re spectively. Emission factors in EDMS

used information provided by HAS, which included vender supplied and AP-42

emission factors.

Incinerator . There is one incinerator at IAH. This incinerator was modeled in

EDMS as a single chamber incinerator. Th e mass of waste in metric tons burnt in

the calendar year 2007 and ozone season wa s obtained. Default emission factors

in EDMS were used to estimate emission s. Annual incinerator usage for the

future years were estimated based on the estimated terminal size (an increase of

33% by 2017), which is projected to expand as part of the Capital Improvement

Plan.

### HAS608 

# 8-4 Training Fires . There is a small training facility in operation at IAH. The City of

Houston fire department provided information on the annual fuel consumption

used for training fires. The training fa cility averaged a use of 2,102 gallons of

propane each year since 2005. It was assumed that all training activities occurred

in the ozone season. Annual training fires usage for the future years were

estimated based on the estimated number of operations.

Cooling Towers . There are four cooling towers at IAH. The usage in gallons in

the calendar year 2007 and ozone season wa s obtained. Default emission factors

in EDMS were used to estimate emission s. Annual cooling tower usage for the

future years were estimated based on the estimated terminal size (an increase of

33% by 2017), which is projected to expand as part of the Capital Improvement

Plan.

Table 8-1

2005 THROUGHPUT FOR KEY STATIONARY SOURCES AT IAH

HAS Emissions Inventory Study



# Stationary Source Fuel/Substance

Consumed 2005 Annual 2005 Ozone

Season

Weekday

Fuel Storage Jet A 552,873,962 421,907,698

Boilers Natural Gas 402,413 256,777

Emergency Generators Natural Gas 69.60 57.00

Emergency Generators Diesel 397 315

Incinerator Waste 273 147

Training Fires Propane 2,102 2,102

Cooling Towers 3,179,520 2,384,640

(a) Jet A fuel consumption in gallons.

(b) Natural gas consumption in thousand cubic feet.

(c) Diesel consumption in hours of usage.

(d) Waste incineration in short tons.

(e) Propane consumption in gallons.

(f) Cooling tower consumption in gallons.HAS6088-5Table 8-2FUTURE THROUGHPUT FOR KEY STATIONARY SOURCES AT IAHHAS Emissions Inventory StudyStationary SourceFuel Type2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonFuel Storage(a)Jet A591,689,485451,528,496640,407,530488,706,080687,505,381524,647,266704,341,572537,495,255Boilers(b)NaturalGas444,252283,475469,551299,618 519,195331,295531,367339,063Emergency Generator(c)Natural Gas 76.8462.9381.2166.51 89.8073.5491.9075.27Emergency Generator(c)Diesel 439348464368 513407525416Incinerator(d)Waste 301163319172 352190360195Training Fires(e)Propane2,2502,2502,4352,4352,6142,6142,6782,678Cooling Towers(f)3,510,1022,632,5773,709,9892,782,492 4,102,2323,076,6744,198,4103,148,807(a)Jet A fuel consumption in gallons.(b)Natural gas consumption inthousand cubic feet.(c)Diesel consumption in hours of usage.(d)Waste incineration in short tons.(e)Propane consumption in gallons.(f)Cooling tower consumption in gallons.

### HAS608 

# 8-6 8.3.2 William P. Hobby Airport

The key contributors of emissions at HOU are fuel storage tanks and boilers. As

noted previously, there were other contributors, but no meaningful data were

collected.

Fuel Storage Tanks . Monthly fuel consumption data of Jet A fuel for 2005 was

obtained from HAS staff. The fuel tank was modeled as a Vertical Fixed Roof

tank in EDMS. Fuel consumption for future years was grown in the same

proportion as commercial scheduled ope rations. Default emission factors in

EDMS were used to estimate emissions. It should be noted that HAS does not

own or operate the fuel tanks. This anal ysis did not include emissions associated

with the storage and hand ling of vehicle fuels.

Boilers . There are two boilers at HOU. These boilers are modeled in EDMS as

Controlled Wall Fired boilers with ho urly consumption less than 100 million

BTUs. The volume of natural gas cons umed in the calendar year 2006 and ozone

season was obtained from HAS staff. Boiler usage was assumed to remain the

same in 2005. Default emission fact ors in EDMS were used to estimate

emissions.

Table 8-3 shows the 2005 stationary sources usage at HOU.

Table 8-3

2005 THROUGHPUT FOR KEY STATIONARY SOURCES AT HOU

HAS Emissions Inventory Study



# Stationary Source Fuel/Substance

Consumed 2005 Annual 2005 Ozone Season

Weekday

Fuel Storage Tank Jet A 83,326,465 (a) 44,973,583 (a)

Boiler Natural Gas 14,955 (b) 5,685 (b)

(a) Jet A fuel consumption is in gallons.

(b) Natural gas consumption is in cubic feet.



# Boiler usage is usually a function of the size and level of activity at an airport.

No major terminal expansion at the Airpor t is planned. Boiler usage is assumed

to be constant for future years. Fuel co nsumption for future years was calculated

in the same proportion as commercial sch eduled operations. Table 8-4 shows the

future usage of stationary sources.HAS6088-7Table 8-4FUTURE THROUGHPUT FOR KEY STATIONARY SOURCES AT HOUHAS Emissions Inventory StudyGSE TypeFuel Type2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonFuel Storage Tank(a)Jet A78,977,65142,626,40780,985,62943,710,044 85,384,90046,084,69486,909,442 46,907,328Boiler (b)NaturalGas14,9555,68514,9555,685 14,9555,68514,9555,685(a)Jet A fuel consumption is in gallons; grown proportionally to commercial scheduled operations.(b)Natural gas consumption is in cubic feet; assumed to be constant in the future.

### HAS608 

# 8-8 8.3.3 Ellington Field

Based on a lack of meaningful data, th is inventory only considered several

aircraft fuel storage tanks at EFD. It sh ould be noted that HAS does not own or

operate the fuel storage tanks.

Fuel at EFD is supplied or consumed ma inly by military or general aviation

aircraft. Southwest FBO provides fuel to general aviation aircraft and NASA.

Texas ANG owns fuel storage tanks supplying fuel to military aircraft.

Texas ANG dispenses both AvGas and Jet A fuel. Southwest FBO supplies JP-8,

MOGAS, and diesel fuel. All the fuel storage tanks owned by Texas ANG are

horizontal. Southwest FBO has four vertic al and three horizontal storage tanks.

Annual fuel consumption data for 2005 was obtained from HAS staff. Based on

the proportion of annual military operations and general aviation operations in

an ozone-season weekday, the total annu al fuel from Texas ANG and Southwest

FBO were proportioned to obtain ozone season weekday consumption. Default

emission factors in EDMS are used to es timate emissions. Table 8-5 shows the

2005 fuel storage consumption at EFD.

Table 8-5

2005 THROUGHPUT FOR KEY STATIONARY SOURCES AT EFD

HAS Emissions Inventory Study



# Stationary Source Fuel/Substance

Consumed 2005

Annual (a) 2005 Ozone

Season

Weekday (a)

Fuel Storage Tank JP-8 2,923,865 1,869,551

Fuel Storage Tank Diesel 41,211 26,417

Fuel Storage Tank MOGAS 26,681 17,171

Fuel Storage Tank Jet A 5,571,406 3,469,647

Fuel Storage Tank AvGas 3,714,271 2,313,098

(a) All fuel consumption is in gallons.



# Military operations in the future are ex pected to remain constant. The fuel

component supplied by Texas ANG was also assumed to be constant for future

years. General aviation operations are e xpected to grow and all fuel supplied by

Southwest FBO is grown proportional to the forecast growth in general aviation

operations. Table 8-6 shows the future fuel storage consumption at EFD.HAS6088-9Table 8-6FUTURE THROUGHPUT FOR KEY STATIONARY SOURCES AT EFD(a)HAS Emissions Inventory StudyGSE TypeFuelType(b)2011Annual2011OzoneSeason2014Annual2014OzoneSeason2017Annual2017OzoneSeason2018Annual2018OzoneSeasonFuel Storage Tank JP-8 2,923,8651,869,5512,923,8651,869,551 2,923,8651,869,5512,923,8651,869,551Fuel Storage Tank Diesel 41,21126,41741,21126,417 41,21126,41741,21126,417Fuel Storage Tank MOGAS 26,68117,17126,68117,171 26,68117,17126,68117,171Fuel Storage Tank Jet A 6,895,1764,294,1307,557,1934,706,240 8,200,9835,106,9908,403,0755,233,000Fuel Storage Tank AvGas 4,596,8722,862,8415,038,0413,137,581 5,467,3223,404,6605,602,0503,488,667(a)All fuel consumption is in gallons.(b)Jet A and AvGas fuel supplied by Southwest Fixed Base Operator was calculatedproportionally to general aviationoperations.

# Section 9

**CONSTRUCTION ACTIVITY**

### HAS608 

# 9-1 

# Section 9

CONSTRUCTION ACTIVITY

9.1 INTRODUCTION

As part of the overall HAS inventory, emissi ons from the various construction projects

at IAH, HOU, and EFD were quantified. The sources of these emissions are

construction vehicles, demolition projects, and paving activities. This section provides a

detailed summary of the emissions generated by the various projects at all three

airports.

9.2 METHODOLOGY

In the absence of detailed engineering schem atics and project documentation, Jacobs

Consultancy sought project guidance from a variety of other sources. These included:

(1) the Air Emission Summary documents that were submitted to the FAA (AES); (2) the

2008 Philadelphia International Airport Capa city Enhancement Program (PHL CEP)*;

(3) the 2004 Philadelphia International Ai rport Runway 17-35 Extension Project EIS

(PHL EIS)** and (4) construction vehicles estimates for runway projects at Portland

International, Reading International, and Le high Valley International airports. Data

from these documents were extrapolated and scaled to fit the appropriate projects at

HAS airports. It should be noted that, whenever possible, guidance from HAS was

used when calculating emissions.

The PHL CEP was the basis for estimating vehicle use data for the runway-related

projects that occurred in 2005 at IAH, HOU, and EFD. Additionally, the AES

documents provide data for building construc tion and terminal apron work. The PHL

EIS was the basis for estimati ng vehicle use data for construction projects in future

years at HOU. The AES documents were also used for estimating construction activity

at EFD for future years.

Because many airport projects last more th an one year, information was gathered for all

of the construction projects that occurre d between 2004 and 2006. Several of those

projects either started in 2004 and continue d into 2005 or started in 2005 and continued

into 2006. For projects with overlapping years , the emissions were sca led to reflect only

2005.

There were a number of small projects at IA H, HOU, and EFD in 2005, each with only a

small contribution of emissions to the overa ll inventory. In estimating the emissions,

these small projects were consolidated in to a larger miscellaneous project that

collectively accounted for a fraction of total construction emissions.

*Philadelphia International Airport Capacity Enhancement Program Draft Air Quality

Technical Report, KM Chng Environmental, Inc., 2008.

**Environmental Impact Statement for the Runway 17-35 Extension Project at

Philadelphia International Airport, Va nasse Hangen Brustlin, Inc. (2005).

### HAS608 

# 9-2 Vehicle information was input into NONROAD2005 to generate construction

emissions.* NONROAD2005 is the nationally accepted model used to calculate offroad vehicle emissions. The year 2005 wa s used as the episode year for the 2005

emissions calculations. The model assumed a distribution of vehicle ages based on

engine scrappage data for Harris County. Likewise, 2011 was used as the episode year

for future construction vehicle emissions, wh ich was based on a distribution of vehicle

ages in Harris County. Owing to the temperate location of HAS airports and upon

guidance from HAS, it was assumed that project manpower and vehicle use occurred

40 hours per week and 52 weeks per year.

9.3 2005 CONSTRUCTION PROJECT INVENTORY

A construction project inventory for 2005 was compiled for IAH, HOU, and EFD.

9.3.1 George Bush Intercontinental Airport

The 2005 construction project inventory for IAH included the following projects.

15L Project. The 15L Project consisted of repaving and resurfacing Runway 15L from

August 2005 to March 2006. Reportedly, 40% of the project occurred in 2006, thus only

60% of the total project emissions are includ ed for this inventory. Equipment usage

data was extrapolated from the 2008 PHL CEP. The PHL CEP outlines an extensive

array of construction projects , but only the runway paving and resurfacing portions

were examined for purposes of the HAS in ventory. The scope of runway paving

activity was approximately equal to the repaving activity involved with the 15L Project.

Table 9-1 presents the 2005 vehicle operating times.

*The NONROAD2005 Model was created by Un ited States Environmental Protection

Agency. Further information can be found at

http://www.epa.gov/otaq/nonrdmdl.htm#docs

.

### HAS608 

# 9-3 Table 9-1

IAH 15L CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours 2005 Work Hours

Dump Truck 6400 3840

Paint Truck 720 432

Paver 960 576

Primer Truck 240 144

Reclaimer 400 240

Roller 2240 1344

Sweeper 960 576

Tack Truck 720 432

Trimmer 240 144

Source: Jacobs Consultancy, 2008 (extrapolated from the

Philadelphia International Airport Capacity

Enhancement Program, KM Chng Environmental, Inc.,

2008).



# 9/27 Project. The 9/27 Project consisted of repa iring and repaving Runway 9/27 from

August 2005 to October 2005. Based on the di fferences in project duration, the 9/27

Project involved approximately 60% of the activity as that of the 15L Project. An

additional 17% reduction in vehicle utilizatio n was applied based on the smaller surface

area of Runway 9/27. Table 9-2 presents the 2005 vehicle operating times.

### HAS608 

# 9-4 Table 9-2

IAH 9/27 CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Dump Truck 3184

Paint Truck 358

Paver 478

Primer Truck 119

Reclaimer 199

Roller 1114

Sweeper 478

Tack Truck 358

Trimmer 119

Source: Jacobs Consultancy, 2008

(extrapolated from the Philadelphia

International Airport Capacity

Enhancement Program, KM Chng

Environmental, Inc., 2008).



# Small Construction Projects . As previously mentioned, there were a variety of smaller

construction projects that, individually, ge nerated minor emissions, but cumulatively

generated a notable amount of emissions. These projects include: (1) Terminal C

electrical vault expansion; (2) sound insula tion project; (3) Terminal B tenant space

improvement; and (4) USPS facility support. It was assumed th at the cumulative

emissions from these projects were approxim ately 25% of the emissions from the larger

projects at IAH.

9.3.2 William P. Hobby Airport

The 2005 construction project inventory for HOU included the following projects.

Concourse B Project. The Concourse B Project involved aircraft apron and passenger

terminal renovation. For this inventory, th e project was assumed to be similar to the

Terminal B North apron/terminal renovation project at IAH.* A 50% reduction in

vehicle activity, however, was applied because the HOU project lasted approximately

half as long as the IAH project. A 40% redu ction was also applied to account for project

overlap into 2006. Table 9-3 presents the 2005 vehicle operating times.

*Air Emission Summary for Project 603D, Houston Airport System, 2005.

### HAS608 

# 9-5 Table 9-3

HOU CONCOURSE B CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours 2005 Work Hours

Cement Mixer 800 480

Compressor 1000 600

Dozer 2000 1200

Excavator 1250 750

Generator 2300 1380

Grader 1000 600

Loader 1250 75

Paver 300 180

Roller 2040 1224

Concrete Saw 1650 990

Sweeper 900 540

Tractor 750 450

Trencher 300 180

Source: Jacobs Consultancy, 2008 (extrapolated from Air

Emission Summary for Project 603D, Houston

Airport System, 2005).



# Airfield Repair Project. This project involved the repairing and repaving of various

portions of the airfield at HOU in 2005. Thes e activities were similar to those associated

with the 15L Project at IAH, but an 87% re duction in vehicle utilization was applied to

account for the smaller work area. Table 9-4 presents the 2005 vehicle operating times.

Small Construction Projects . As previously mentioned, there were a variety of smaller

construction projects that, individually, ge nerated minor emissions, but cumulatively

generated a significant amount of emissions. These projects include: (1) runway

lighting; (2) asbestos abatement services; and (3) demolition of several small

maintenance buildings. It was assumed th at the cumulative emissions from these

projects were approximately 25% of the emissions from the larger projects at HOU.

### HAS608 

# 9-6 Table 9-4

HOU AIRFIELD REPAIR CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study

Equipment Total Work Hours

Dump Truck 832

Paint Truck 94

Paver 125

Primer Truck 31

Reclaimer 52

Roller 291

Sweeper 125

Tack Truck 94

Trimmer 31

Source: Jacobs Consultancy, 2008

(extrapolated from the

Philadelphia International

Airport Capacity Enhancement

Program, KM Chng

Environmental, Inc., 2008).



# 9.3.3 Ellington Field

The 2005 construction project inventory for EFD included the following projects.

Ramp Repair Project. This project involved the repairing and repaving of various

portions of the airfield ramps at EFD in 20 04 and 2005. These activities were similar to

those associated with the 15L Project at IAH, but a 77% reduction in vehicle activity was

applied to account for the smaller work are a and a 25% reduction was applied due to

overlap from 2004. Table 9-5 presents the 20 05 vehicle operating times.

Aircraft Hangar Project. The project involved the cons truction of the Rocket Man

Hangar in 2005. Construction vehicle utilization data was provided by AES reports

provided by the FAA.* Table 9-6 presents the 2005 vehicle operating times.

*

Aeronautical Study 2005-ASW-289-NRA , Federal Aviation Administration, 2005.

### HAS608 

# 9-7 Table 9-5

EFD RAMP REPAIR CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study

Equipment Total Work Hours 2005 Work Hours

Dump Truck 1472 1104

Paint Truck 166 124

Paver 221 166

Primer Truck 55 41

Reclaimer 92 69

Roller 515 386

Sweeper 221 166

Tack Truck 166 124

Trimmer 55 41

Source: Jacobs Consultancy, 2008 (extrapolated from the

Philadelphia International Airport Capacity Enhancement

Program, KM Chng Environmental, Inc., 2008).

### HAS608 

# 9-8 Table 9-6

EFD AIRFIELD HANGAR CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study

Equipment Total Work Hours

Back Hoe 100

Cement Mixer 30

Concrete Saw 30

Crane 200

Dozer 30

Drilling Rig 80

Dumper/Tender 30

Grader 50

Loader 100

Pick-up Trucks 1,500

Plate Compactor 30

Scraper 100

Trencher 30

Source: Jacobs Consultancy, 2008 (extrapolated from

Aeronautical Study 2005-ASW-289-NRA, Federal

Aviation Administration, 2005).



# 9.4 FUTURE CONSTRUCTION PROJECT INVENTORY

Inventories of future construction projects were developed for HOU, IAH, and EFD.

9.4.1 William P. Hobby Airport

The HOU Master Plan made a number of recommendations that involve significant

construction activities.* The projects anti cipated to generate significant construction

emissions are summarized below. While the projects are certain to occur, the precise

year of construction is unknown. As su ch, the construction emissions have been

calculated and can be applied in the year that the project actually occurs. Emissions

were calculated with NONROAD 2005 using 2011 as the vehicle model year, which

assumes an average distribution of vehicle ages.

Runway Extension Project. Runway 17L/35R will be extended by an additional

1,550 feet. Vehicle usage assumptions were extrapolated from the 2008 PHL CEP.

Table 9-7 presents the future vehicle operating times.

* William P. Hobby 2003 Master Plan , Ricondo & Associates, Inc., 2003.

### HAS608 

# 9-9 Table 9-7

HOU RUNWAY EXTENSION CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Back Hoe 21,500

Bulldozer 18,500

Concrete Truck 4,100

Dump Truck 34,500

Excavator 15,500

Grader 18,500

Loader 11,500

Milling Machine 1,250

Paver 1,850

Pick-up Truck 17,250

Roller 15,500

Source: Jacobs Consultancy, 2008 (extrapolated

from the Philadelphia International

Airport Capacity Enhancement Program,

KM Chng Environmental, Inc., 2008).

### HAS608 

# 9-10 Runway 12L/30R Upgrade Project. Runway 12L/30R will be upgraded to

accommodate heavier aircraft, which will involve repaving the existing surface

(approximately 120,883 square meters [m 2 

# ]). It is assumed that the project would be

completed within one year. Table 9-8 presents the vehicle operating times based on the

2005 9/27 Project at IAH (with a 13% reduction in vehicle operating hours due to the

differences in paving area).

Taxiway J Project. Taxiway J will be created, which will provide a link between

Runways 12R/30L and 4/22. It will be approximately 584 m long and 24 m wide

(14,016 m 2 

# ). It is assumed that the project w ill not require substantial earth-moving

activities, as it is centrally located on the airfield. It will, however, require significant

paving activities, but should be co mpleted within one year. Table 9-9 presents the

vehicle operating times based on the 2005 9/27 Project at IAH (with a 37% reduction in

vehicle operating hours due to the differences in paving area).

Freight Facility Expansion Project. The existing air cargo area will be expanded by

adding several cargo buildings (two were a ssumed) and additional parking apron area

for aircraft (approximately 63,375 m 2 

# ). It was assumed that no significant earth-moving

activities will be required, but will requ ire the construction of two hangar-sized

buildings and re-paving existing airfield areas.

Table 9-10 presents the vehicle operating times based on the 2005 Hangar Project at

EFD.

Table 9-11 presents the vehicle operating ti mes based on the 2005 9/27 Project at IAH

(with a 54% reduction in vehicle operating ho urs due to the differences in paving area).

### HAS608 

# 9-11 Table 9-8

HOU12L/30R UPGRADE CONST RUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Dump Truck 2,770

Paint Truck 311

Paver 416

Primer Truck 104

Reclaimer 173

Roller 969

Sweeper 416

Tack Truck 311

Trimmer 104

Source: Jacobs Consultancy, 2008

(extrapolated from the Philadelphia

International Airport Capacity

Enhancement Program, KM Chng

Environmental, Inc., 2008).

Table 9-9

HOU TAXIWAY J CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Dump Truck 2,006

Paint Truck 226

Paver 301

Primer Truck 75

Reclaimer 125

Roller 702

Sweeper 301

Tack Truck 226

Trimmer 75

Source: Jacobs Consultancy, 2008 (extrapolated from

the Philadelphia International Airport Capacity

Enhancement Program, KM Chng

Environmental, Inc., 2008).

### HAS608 

# 9-12 Table 9-10

HOU FREIGHT FACILITY (CARGO) CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Back Hoe 200

Cement Mixer 60

Concrete Saw 60

Crane 400

Dozer 60

Drilling Rig 160

Dumper/Tender 60

Grader 100

Loader 200

Pick-up Trucks 3,000

Plate Compactor 60

Scraper 100

Trencher 100

Source: Jacobs Consultancy, 2008

(extrapolated from Aeronautical

Study 2005-ASW-289-NRA, Federal

Aviation Administration, 2005).

### HAS608 

# 9-13 Table 9-11

HOU FREIGHT FACILITY (PAVING) CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Dump Truck 1,465

Paint Truck 165

Paver 220

Primer Truck 55

Reclaimer 92

Roller 512

Sweeper 220

Tack Truck 143

Trimmer 55

Source: Jacobs Consultancy, 2008 (extrapolated

from the Philadelphia International

Airport Capacity Enhancement Program,

KM Chng Environmental, Inc., 2008).



# Small Construction Projects . As previously mentioned, there were a variety of smaller

construction projects that, individually, ge nerated minor emissions, but cumulatively

generated a significant amount of emissions. These projects include: (1) new runway

lighting; (2) passenger parking garage constr uction; (3) demolition and construction of

several small buildings; and (4) rehab of several small taxiways. It was assumed that

the cumulative emissions from these projec ts were approximately 25% of the emissions

from the larger projects at HOU.

9.4.2 Ellington Field

A new air traffic control (ATC) tower is planned to be built at EFD. While the project is

certain to occur, the precise year of construction is unknown. As such, the construction

emissions have been calculated and can be a pplied in the year that the project actually

occurs. Table 9-12 presents the future vehicle operating times.

### HAS608 

# 9-14 Table 9-12

EFD FUTURE ATC TOWER CONSTRUCTION VEHICLE UTILIZATION

HAS Emissions Inventory Study



# Equipment Total Work Hours

Back Hoe 300

Cement Mixer 90

Concrete Saw 90

Crane 600

Dozer 90

Drilling Rig 240

Dumper/Tender 90

Grader 150

Loader 300

Pick-up Trucks 4500

Plate Compactor 90

Scraper 150

Trencher 150



# 9.4.3 George Bush Intercontinental Airport

Future construction projects are detailed in the 2009 Environmental Impact Statement.

These projects include:

Potential construction projects at IAH wer e identified by reviewing the IAH Master

Plan (MP) and Capital Improvement Plan (CIP ). These projects were identified based

on discussions with HAS staff regarding feasibility and anticipated funding. As a

result, it was determined that the projects listed below would be included in this

emissions inventory.

1. Extension of Secure Automated Peo ple Movers (APM) to Terminal A

2. North Terminal B Improvements

3. South Terminal B Improvements

4. Terminal D Improvements

5. Relocate TRACON

6. Cross Field Taxiway SF1

7. Taxiway SF1 Extension

### HAS608 

# 9-15 8. Will Clayton Parkway/Terminal Area Interchange

9. Air Cargo Expansion

10. Hotel Area Roadways

11. Relocate ARFF Station

12. Will Clayton Parkway Overpass at Kenswick Drive

13. JFK Boulevard Elevated Lanes and Widening

14. Terminal A Improvements

15. Airport Maintenance Facilities Relocation

16. New Terminal Roads

17. Expand Fuel Farm

18. Will Clayton Parkway Remote Parking

19. Runway 26L End Around Taxiway

20. Runway 26L Bypass Holding Pads

21. Airline Maintenance Relocation (Continental Airlines)

22. Runway 8R End Around Taxiway and Holding Pad

23. Arterial Street Improvements

24. Relocate Flight Kitchen to Central Receiving Area

25. New Terminal Parking Garage and Commercial Vehicle Staging

26. Extension of Non-Secure APM to Future New Terminal Site

27. Runway 9 Bypass Holding Pad

28. Runway 27 Bypass Holding Pad

29. East Terminal Area Site Preparation

30. Runway 9R-27L

31. Runway 9R West Access Taxiways

32. Runway 9R North Access Taxiways

33. Runway 27R End Around Taxiways

34. Will Clayton Parkway Elevated Lanes and Relocation

35. East Terminal Apron and Taxiways

36. East Terminal Building

37. Extension of Secure Passenger Conveyance System

38. Light Rail to RCC

39. Demolish Existing Hotel & Terminal Buildings

40. Air Cargo Expansion

41. Runway 8C/26C

42. Underground Secure APM

43. Administrative Building

44. Miscellaneous Airfield Pavement Replacement

45. Consolidated Communications Center

46. Rehabilitate Taxiways WA and WB

47. Reconstruct Taxiways SA and SB

48. Ditch N Extension Greens Road West of Old Rankin Road

49. New Houston Police Department Facility

50. New GT Staging Area

### HAS608 

# 9-16 51. Landside Roadway Rehabilitation – Roads/Manholes/Utilities

52. Reconstruct Taxiway NA and NB

53. Concrete Line South Bank of Greens Road Detention Pond

54. Relocate Kenswick Ditch/Holding Pond

55. New Detention Pond North – West (Turkey Creek)

56. Building Demolition in Areas 4 and 5

Table 9-13 presents the future-year construc tion equipment operating times estimated

for the construction periods. Table 9-14 presents the future on-road construction

vehicle mileage during the construction period. As shown, 2017 and 2018 involve a

much greater number of construction equipm ent as these years are expected to involve

construction projects such as runway cons truction and terminal expansion which is

associated with much more intensive construction needs.

### HAS608 

# 9-17 Table 9-13

IAH FUTURE PROJECT CONSTRUCTION EQUIPMENT UTILIZATION

HAS Emissions Inventory Study

Equipment 2011 2014 2017 2018

Fuel Truck 3,240 3,240 3,240 3,240

Maintenance Vehicle 3,240 3,240 3,240 3,240

Rubber Tired Backhoe 0 1,080 0 2,700

Loaders 2,700 25,920 25,110 50,760

Pile Drivers 540 0 36,720 19,440

Crane 540 0 85,860 44,820

Paver 4,050 5,940 4,860 11,610

Belt Placers 8,100 11,880 9,720 23,220

Cure Rig 4,050 5,940 4,860 11,610

Gang Drills 8,100 11,880 9,720 23,220

Saws 8,100 11,880 9,720 23,220

Motor Grader 1,890 11,340 4,860 27,270

Excavator 2,970 23,220 8,640 49,410

trimmer 1,890 11,340 4,860 27,270

trencher 0 540 0 1,350

Hand Tools 540 0 5,130 23,760

Generators 810 0 191,160 105,300

Lifts 540 0 4,320 19,980

Paint Machines 10,530 14,580 12,960 25,110

Air compressor 3,780 5,940 65,340 32,400

Concrete pump 0 0 61,560 27,270

Vacuum sweeper 3,780 5,940 3,780 7,290

Walk behind saws 26,460 41,580 26,460 51,030

Compressors 0 4,320 0 1,350

Truck with silicon pump 3,780 5,940 3,780 7,290

Front end loaders 0 16,200 0 3,240

Concrete pump 0 0 61,560 27,270

### HAS608 

# 9-18 Table 9-14

IAH FUTURE PROJECT ON-ROAD CONSTRUCTION VHECILES UTILIZATION

HAS Emissions Inventory Study



# Equipment 2011 2014 2017 2018

Employees 1,687,284 3,684,636 10,525,896 14,880,024

Light-Duty Trucks 245,430 345,870 832,680 723,330

Heavy-Duty Trucks 1,986,390 12,646,260 5,608,602 25,626,510

# Section 10

**SUMMARY OF EMISSIONS**

### HAS608 

# 10-1 

# Section 10

SUMMARY OF EMISSIONS

This section provides summary tables of emi ssions for all three airp orts in the Houston

area: George Bush Intercontinental Airport (IAH), William P. Hobby Airport (HOU) and

Ellington Field (EFD). The summary of emi ssions tables are arranged by airport and by

pollutant for the baseline and all future scen arios. These tables are provided for six

pollutants: CO, VOC, NO

x 

# , SO 2 

# , PM 10 

# , and PM 2.5.



# The emissions shown in each ta ble by airport and pollutant is segregated depending on

the part of the SIP that they belong to. Th e emissions that are to be included in the

airport category of the SIP are separated from emissions that are to be included

elsewhere in the SIP.

The emissions don’t include that of GSE ow ned by Continental Airlines and Southwest

Airlines. Continental and Southwest Airlin es are expected to provide their GSE

inventory directly to TCEQ.

Generally, several trends can be noted with in the emissions inventory for IAH. These

trends are as follows:

 

# Aircraft emissions of NO

x 

# , SO 2 

# , PM 10 

# , and PM 2.5 

# increase from 2005 to 2018 as a

result of greater number of operatio ns and changes in aircraft fleet mix.

However, with the construction of Ru nway 9C/27C and 9R/27L and various

taxiway improvements, after increasing from 2005 through 2014, aircraft

emissions of CO and VOC would de crease from 2014 to 2017 with lower

taxi/queue times.

 

# GSE emissions decrease from 2005 to 2018 (despite increased aircraft operations

and thus GSE usage) due to greater combustion efficiency as older equipment is

replaced with newer units.

 

# APU emissions increase from 2005 to 2018 due to greater aircraft operations and

the retirement of PCA and thus, greater APU operating times.

 

# Motor vehicle emissions from parking and roadways (except CO and VOC)

decrease from 2005 to 2018 as the result of greater engine efficiency and

improvements to emission rates (despite increase in vehicle miles traveled). CO

and VOC emissions decrease from 2005 to 2014 but increase from 2014 to 2017

(but decrease from 2017 to 2018) as addi tional roadways and parking facilities

are constructed; adding to the vehicle miles traveled.

 

# Stationary source emissions increase throughout the period as additional

terminal space is constructed.

### HAS608 

# 10-2 The following trends can be noted with in the emissions inventory for HOU:

 

# Aircraft emissions for 2011 and 2014 decrease as compared to 2005 as a result of

a decrease in the number of operations . Beyond 2014, aircraft emissions increase

with a corresponding increase in operations.

 

# GSE emissions decrease from 2005 to 2018 (despite increased aircraft operations

and thus GSE usage) due to greater combustion efficiency as older equipment is

replaced with newer units.

 

# APU emissions decrease from 2005 to 2017 due to a decrease in operations, in

spite of higher PCA usage. They incr ease in 2018 due to greater aircraft

operations and the retirement of PCA and thus, greater APU operating times.

 

# Motor vehicle emissions from parking and roadways (except CO and VOC)

decrease from 2005 to 2018 due to replacement of older vehicles with newer

ones.

The following trends can be noted with in the emissions inventory for EFD:

 

# Aircraft emissions increase from 2005 to 2018 as a result of greater number of

operations.

 

# GSE emissions decrease from 2005 to 2018 (despite increased aircraft operations

and thus GSE usage) due to greater combustion efficiency as older equipment is

replaced with newer units.

 

# APU emissions increase from 2005 to 2018 due to greater aircraft operations and

the retirement of PCA and thus, greater APU operating times.

 

# Motor vehicle emissions from parking and roadways (except CO and VOC)

decrease from 2005 to 2018 due to replacement of older vehicles with newer

ones.HAS60810-3Table 10-1CO EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations2,5857.422,8868.302,964 8.532,6037.492,6907.74GSE excluding CO and WN owned GSE1,0973.106451.82440 1.242850.802560.72Auxiliary Power Units300.09710.2279 0.24970.301040.32On-Airport Parking2200.622050.58218 0.622270.651510.43On-Airport Roadway1,1253.219202.638682.488422.406191.77Total Airport SIP Category, excludingCO and WN owned GSE5,05714.444,72613.544,569 13.104,05511.643,82110.98Other SIP CategoriesKey Stationary Sources210.07230.0724 0.08270.09280.09Training Fires<1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01Off-Airport Roadway6,19317.685,08414.524,804 13.725,48215.654,01011.45Construction110.031180.361120.341780.541780.54Total Other SIP Categories6,22517.785,22514.954,94114.145,68616.284,21512.08Total Airport related Emissionsexcluding CO and WN owned GSE11,28232.229,95128.499,510 27.249,74127.928,03623.06Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-4Table 10-2VOC EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations3741.084771.38524 1.514821.394991.44GSE excluding CO and WN owned GSE 430.12250.0718 0.05120.03110.03Auxiliary Power Units20.0160.027 0.0290.03100.03On-Airport Parking380.11260.0725 0.07240.07190.05On-Airport Roadway940.27720.21630.18570.16440.13Total Airport SIP Category, excludingCO and WN owned GSE5511.586071.75637 1.845841.685831.68Other SIP CategoriesKey Stationary Sources130.05140.0515 0.06160.06170.06Training Fires<1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01Off-Airport Roadway4731.353721.06326 0.933450.982630.75Construction30.01160.05240.07320.10320.10Total Other SIP Categories4881.414021.163651.063931.143120.91Total Airport related Emissionsexcluding CO and WN owned GSE1,0392.991,0092.911,002 2.909772.838952.59Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-5Table 10-3NOx EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations2,0665.912,5557.312,980 8.523,2289.233,3519.58GSE excluding CO and WN owned GSE 1670.461010.2872 0.20480.13420.11Auxiliary Power Units200.06610.1885 0.261130.351230.38On-Airport Parking450.13290.0824 0.07190.06130.04On-Airport Roadway3791.082310.661790.511340.381000.29Total Airport SIP Category, excludingCO and WN owned GSE2,6777.642,9768.513,340 9.563,54210.153,62910.40Other SIP CategoriesKey Stationary Sources120.04130.0414 0.05150.05150.05Training Fires<1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01Off-Airport Roadway1,9795.651,2353.53964 2.757702.205641.61Construction300.091140.351390.42750.23750.23Total Other SIP Categories2,0215.781,3613.921,1163.228612.486551.89Total Airport related Emissionsexcluding CO and WN owned GSE4,69713.424,33812.434,456 12.784,40212.634,28412.29Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-6Table 10-4SOx EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations2420.692740.78306 0.883030.873130.90GSE excluding CO and WN owned GSE 160.042<0.012 <0.012<0.012<0.01Auxiliary Power Units30.01100.0313 0.04170.05180.06On-Airport Parking1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01On-Airport Roadway120.0310.0020.0020.0020.01Total Airport SIP Category, excludingCO and WN owned GSE2730.782870.82322 0.933230.933350.96Other SIP CategoriesKey Stationary Sources1<0.011<0.011 <0.011<0.011<0.01Training Fires<1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01Off-Airport Roadway530.1580.028 0.02110.03110.03Construction40.01<1<0.011<0.011<0.011<0.01Total Other SIP Categories580.1790.03110.03130.04140.04Total Airport related Emissionsexcluding CO and WN owned GSE3310.952960.85333 0.963360.973491.00Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-7Table 10-5PM-10 EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations320.09370.1141 0.12410.12420.12GSE excluding CO and WN owned GSE 70.0250.014 0.0130.0130.01Auxiliary Power Units40.0190.0312 0.04150.05160.05On-Airport Parking1<0.011<0.011 <0.011<0.011<0.01On-Airport Roadway120.0370.0270.0260.0260.02Total Airport SIP Category, excludingCO and WN owned GSE550.16590.1764 0.19660.19680.20Other SIP CategoriesKey Stationary Sources60.0270.027 0.0280.0280.03Training Fires<1<0.01<1<0.01<1 <0.01<1<0.01<1<0.01Off-Airport Roadway450.13330.0931 0.09350.10350.10Construction210.06120.04130.04140.04140.04Total Other SIP Categories720.21510.15510.15570.17570.17Total Airport related Emissionsexcluding CO and WN owned GSE1270.371100.32116 0.341220.361250.37Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-8Table 10-6PM-2.5 EMISSIONS IN SHORT TONS AT IAHHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonDaily2011Annual2011OzoneSeasonDaily2014Annual2014OzoneSeasonDaily2017Annual2017OzoneSeasonDaily2018Annual2018OzoneSeasonDailyAirport SIP CategoryAircraft Operations32 0.0937 0.1141 0.12 41 0.12 42 0.12GSE excluding CO and WN owned GSE 7 0.024 0.014 0.01 3 0.01 3 0.01Auxiliary Power Units3 0.019 0.0312 0.04 15 0.05 16 0.05On-Airport Parking1 <0.01<1 <0.01<1 <0.01 <1 <0.01 <1 <0.01On-Airport Roadway90.0240.0140.0130.0130.01Total Airport SIP Category, excludingCO and WN owned GSE51 0.1556 0.1661 0.18 62 0.18 64 0.19Other SIP CategoriesKey Stationary Sources6 0.027 0.027 0.02 8 0.02 8 0.03Training Fires<1 <0.01<1 <0.01<1 <0.01 <1 <0.01 <1 <0.01Off-Airport Roadway32 0.0919 0.0517 0.05 17 0.05 17 0.05Construction210.0650.0270.0270.0270.02Total Other SIP Categories590.17310.09310.09320.10320.10Total Airport related Emissionsexcluding CO and WN owned GSE110 0.3287 0.2591 0.27 94 0.28 96 0.28Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operatedby Continental Airlines and SouthwestAirlines.(b)Ozone Season Weekday represents 197 Weekdays from March 1 to November 30.HAS60810-9Table 10-7CO EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations871 2.5 793 2.3 843 2.5 950 2.8 996 2.9GSE excluding CO and WN owned GSE 86 0.2 42 0.1 27 0.1 17 <0.1 15 <0.1Auxiliary Power Units58 0.2 43 0.1 44 0.1 57 0.2 62 0.2On-Airport Parking14 <0.1 12 <0.1 11 <0.1 11 <0.1 7 <0.1On-Airport Roadway190.114<0.113<0.112<0.19<0.1Total Airport SIP Category, excludingCO and WN owned GSE1,049 3.1 905 2.6 938 2.7 1,047 3.1 1,089 3.2Other SIP CategoriesKey Stationary Sources1 <0.1 1 <0.1 1 <0.1 1 <0.1 1 <0.1Training Fires<1<0.1 <1 <0.1<1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway260 0.8 186 0.5 163 0.5 156 0.5 113 0.3Construction4<0.1720.2500.2300.2250.2Total Other SIP Categories2660.82600.72150.71880.71400.5Total Airport related Emissionsexcluding CO and WN owned GSE1,315 3.9 1,165 3.3 1,153 3.4 1,235 3.8 1,229 3.7Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-10Table 10-8VOC EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations1630.51510.41600.51780.51860.6GSE excluding CO and WN owned GSE4<0.12<0.12<0.11<0.11<0.1Auxiliary Power Units4<0.13<0.13<0.14<0.14<0.1On-Airport Parking2<0.11<0.11<0.11<0.11<0.1On-Airport Roadway2<0.11<0.11<0.11<0.11<0.1Total Airport SIP Category, excludingCO and WN owned GSE1760.51590.51660.51850.51930.6Other SIP CategoriesKey Stationary Sources1 <0.1 1 <0.1 1 <0.1 1 <0.1 1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway20 0.1 13 <0.1 11 <0.1 9 <0.1 7 <0.1Construction1<0.113<0.111<0.110<0.19<0.1Total Other SIP Categories230.1280.1240.1210.1190.1Total Airport related Emissionsexcluding CO and WN owned GSE199 0.6 187 0.6 190 0.6 206 0.6 212 0.7Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-11Table 10-9NOx EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations571 1.5 540 1.4 556 1.4 593 1.5 607 1.6GSE excluding CO and WN owned GSE 28 0.1 14 <0.1 10 <0.1 7 <0.1 6 <0.1Auxiliary Power Units22 0.1 16 <0.1 16 0.1 21 0.1 23 0.1On-Airport Parking1 <0.1 1<0.1 1 <0.1 1<0.1 <1 <0.1On-Airport Roadway3<0.12<0.11<0.11<0.11<0.1Total Airport SIP Category, excludingCO and WN owned GSE625 1.6 573 1.5 585 1.5 623 1.6 637 1.6Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1<1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway44 0.1 22 0.1 16 <0.1 12 <0.1 8 <0.1Construction9<0.11780.51120.5970.5870.5Total Other SIP Categories550.22010.61290.51100.5960.5Total Airport related Emissionsexcluding CO and WN owned GSE680 1.8 774 2.1 714 2.0 733 2.1 733 2.1Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-12Table 10-10SOx EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations70 0.2 65 0.2 68 0.2 73 0.2 76 0.2GSE excluding CO and WN owned GSE 3 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units4 <0.1 3 <0.1 3 <0.1 4 <0.1 4 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE77 0.2 68 0.2 71 0.2 78 0.2 80 0.2Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1<1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway2 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Construction1<0.1330.1300.1280.1270.1Total Other SIP Categories4<0.1340.1320.1290.1280.1Total Airport related Emissionsexcluding CO and WN owned GSE81 0.2 102 0.3 103 0.3 107 0.3 108 0.3Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-13Table 10-11PM-10 EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations9 <0.1 9 <0.1 9 <0.1 10 <0.1 10 <0.1GSE excluding CO and WN owned GSE1 <0.1 1 <0.1 1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units5 <0.1 4 <0.1 4 <0.1 5 <0.1 5 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE16 <0.1 13 <0.1 14 <0.1 16 <0.1 16 <0.1Other SIP CategoriesKey Stationary Sources<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway2 <0.1 1 <0.1 1 <0.1 1 <0.1 1 <0.1Construction2<0.129<0.138<0.144<0.146<0.1Total Other SIP Categories5<0.131<0.140<0.146<0.148<0.1Total Airport related Emissionsexcluding CO and WN owned GSE21 0.0 44 0.0 54 0.0 62 0.0 64 0.0Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-14Table 10-12PM-2.5 EMISSIONS IN SHORT TONS AT HOUHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations9 <0.1 9 <0.1 9 <0.1 10 <0.1 10 <0.1GSE excluding CO and WN owned GSE 1<0.1 1 <0.1 1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units5 <0.1 4 <0.1 4 <0.1 5 <0.1 5 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE16 <0.1 13 <0.1 14 <0.1 15 <0.1 16 <0.1Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway1 <0.1 1<0.1 1 <0.1 <1<0.1 <1 <0.1Construction2<0.1290.1370.1430.1450.1Total Other SIP Categories4<0.1300.1390.1450.1460.1Total Airport related Emissionsexcluding CO and WN owned GSE20 0.0 43 0.1 53 0.1 60 0.1 62 0.1Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-15Table 10-13CO EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations1,014 3.3 1,155 3.7 1,226 3.9 1,296 4.2 1,319 4.2GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units3 <0.1 4 <0.1 4 <0.1 4 <0.1 4 <0.1On-Airport Parking2 <0.1 2 <0.1 2 <0.1 2 <0.1 1 <0.1On-Airport Roadway1<0.11<0.11<0.11<0.11<0.1Total Airport SIP Category, excludingCO and WN owned GSE1,020 3.3 1,162 3.7 1,233 4.0 1,303 4.2 1,325 4.3Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway69 0.2 61 0.2 56 0.2 54 0.2 39 0.1Construction3<0.13<0.12<0.11<0.11<0.1Total Other SIP Categories730.2650.2590.2560.2410.1Total Airport related Emissionsexcluding CO and WN owned GSE1,093 3.5 1,227 3.9 1,292 4.2 1,359 4.4 1,366 4.4Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-16Table 10-14VOC EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations109 0.3 125 0.4 133 0.4 141 0.4 143 0.4GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE110 0.3 125 0.4 133 0.4 141 0.4 144 0.5Other SIP CategoriesKey Stationary Sources8 <0.1 9 0.1 10 0.1 10 0.1 11 0.1Training Fires<1<0.1 <1 <0.1<1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway5 <0.1 4 <0.1 3 <0.1 3 <0.1 2 <0.1Construction1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Other SIP Categories150.1150.1150.1150.1140.1Total Airport related Emissionsexcluding CO and WN owned GSE125 0.4 140 0.5 148 0.5 156 0.5 158 0.6Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-17Table 10-15NOx EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations64 0.2 73 0.2 78 0.2 82 0.2 83 0.2GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units1 <0.1 1 <0.1 2 <0.1 2 <0.1 2 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE65 0.2 75 0.2 79 0.2 84 0.2 85 0.2Other SIP CategoriesKey Stationary Sources<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway5 <0.1 4 <0.1 3 <0.1 3 <0.1 2 <0.1Construction6<0.16<0.14<0.13<0.13<0.1Total Other SIP Categories13<0.111<0.19<0.17<0.15<0.1Total Airport related Emissionsexcluding CO and WN owned GSE78 0.2 86 0.2 88 0.2 91 0.2 90 0.2Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-18Table 10-16SOx EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations15 <0.1 17 <0.1 18 0.1 19 0.1 19 0.1GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE15 <0.1 17 0.1 18 0.1 19 0.1 19 0.1Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1<1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Construction1<0.11<0.11<0.11<0.11<0.1Total Other SIP Categories2<0.12<0.12<0.12<0.12<0.1Total Airport related Emissionsexcluding CO and WN owned GSE17 0.0 19 0.1 20 0.1 21 0.1 21 0.1Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-19Table 10-17PM-10 EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations1 <0.1 1 <0.1 1 <0.1 2 <0.1 2 <0.1GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE1 <0.1 2 <0.1 2 <0.1 2 <0.1 2 <0.1Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Construction2<0.11<0.11<0.11<0.11<0.1Total Other SIP Categories4<0.12<0.12<0.12<0.12<0.1Total Airport related Emissionsexcluding CO and WN owned GSE5 0.0 4 0.0 4 0.0 4 0.0 4 0.0Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30.HAS60810-20Table 10-18PM-2.5 EMISSIONS IN SHORT TONS AT EFDHAS Emissions Inventory StudyEmission Source Group2005Annual2005OzoneSeasonWeekday2011Annual2011OzoneSeasonWeekday2014Annual2014OzoneSeasonWeekday2017Annual2017OzoneSeasonWeekday2018Annual2018OzoneSeasonWeekdayAirport SIP CategoryAircraft Operations1 <0.1 1 <0.1 1 <0.1 2 <0.1 2 <0.1GSE excluding CO and WN owned GSE <1 <0.1 <1 <0.1 <1 <0.1<1 <0.1 <1 <0.1Auxiliary Power Units<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Parking<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1On-Airport Roadway<1<0.1<1<0.1<1<0.1<1<0.1<1<0.1Total Airport SIP Category, excludingCO and WN owned GSE1 <0.1 2 <0.1 2 <0.1 2 <0.1 2 <0.1Other SIP CategoriesKey Stationary Sources<1 <0.1<1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Training Fires<1<0.1 <1 <0.1 <1 <0.1 <1 <0.1 <1 <0.1Off-Airport Roadway<1 <0.1 <1<0.1 <1 <0.1 <1<0.1 <1 <0.1Construction2<0.11<0.11<0.11<0.11<0.1Total Other SIP Categories3<0.12<0.12<0.12<0.12<0.1Total Airport related Emissionsexcluding CO and WN owned GSE4 0.0 4 0.0 4 0.0 4 0.0 4 0.0Notes:(a)Ground Support Equipment do not include emissions from equipment owned or operated byContinental Airlines and Southwest Airlines.(b)Ozone Season Weekday represents 197 weekdays from March 1 to November 30

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### HAS608 

# i CONTENTS

Appendix Page

A ESTIMATION OF EMISSIONS FROM AIRCRAFT OPERATIONS... A-1

A.1 Introduction...................................................................................... A-1

A.2 Aircraft Operations, Fleet Mix and Engine Type........................ A-1

A.2.1 Annual Aircraft Operations ............................................... A-1

A.2.2 Ozone Season Weekday Aircraft Operations.................. A-4

A.2.3 Fleet Mix ............................................................................... A-5

A.2.3 Aircraft Engine Type........................................................... A-21

A.3 Taxi Times......................................................................................... A-44

A.3.1 Baseline Taxi times .............................................................. A-44

A.3.2 Future Taxi times................................................................. A-61

B ESTIMATION OF EMISSIONS FROM AUXILIARY POWER UNITS B-1

B.1 Introduction...................................................................................... B-1

B.2 PCA Equipage at the Gates ............................................................ B-1

B.2.1 Baseline Year ........................................................................ B-1

B.2.2 Future Years ......................................................................... B-1

B.3 Gate Occupancy Time..................................................................... B-3

B.4 Temperature..................................................................................... B-3

B.5 APU Times Computation Methodology ...................................... B-3

C ESTIMATION OF EMISSIONS FROM GROUND SUPPORT

EQUIPMENT .............................................................................................. C-1

C.1 Introduction...................................................................................... C-1

C.2 GSE Activity Within the Vicinity of the Aircraft ........................ C-1

C.2.1 Time in Mode Survey.......................................................... C-1

C.2.2 GSE Equipment Types........................................................ C-5

C.3 GSE Activity Beyond the Vicini ty of the Aircraft ....................... C-6

C.3.1 Distance Survey ................................................................... C-6

D ESTIMATION OF EMISSIONS FROM PARKING FACILITIES AND

TERMINAL CURBSIDES.......................................................................... D-1

D.1 Introduction...................................................................................... D-1

D.2 Parking Traffic Volumes................................................................. D-1

D.2.1 Public Parking Lots ............................................................. D-1

D.2.2 Employee Parking Lots....................................................... D-3

D.2.3 Rental Car Lots..................................................................... D-5

D.2.4 Taxicab Lot ........................................................................... D-6

D.3 Computation of Parking/Curbside Emission Factors ............... D-7

### HAS608 

# ii CONTENTS (continued)

Appendix Page

E ESTIMATION OF EMISSIONS FROM ROADWAY TRAFFIC .......... E-1

E.1 Introduction...................................................................................... E-1

E.2 On-airport roadway traffic............................................................. E-1

E.2.1 IAH ........................................................................................ E-1

E.2.2 HOU ...................................................................................... E-3

E.2.3 EFD ........................................................................................ E-4

E.3 Off-Airport Roadway Traffic ......................................................... E-4

E.4 Roadway Emission Factors ............................................................ E-5

F ESTIMATION OF EMISSIONS FROM STATIONARY SOURCES .... F-1

F.1 Introduction...................................................................................... F-1

F.2 HAS Owned Stationary Sources ................................................... F-1

F.2.1 Boilers.................................................................................... F-1

F.2.2 Generators ............................................................................ F-2

F.2.3 Incinerator............................................................................. F-3

F.2.4 Training Fires ....................................................................... F-4

F.3 Fuel Consumption........................................................................... F-4

G ESTIMATION OF EMISSIONS FROM CONSTRUCTION

ACTIVITIES ................................................................................................ G-1

G.1 Introduction...................................................................................... G-1

G.2 Methodology .................................................................................... G-1

G.3 2005 Construction Project Emissions............................................ G-2

G.3.1 George Bush Intercontinental Airport.............................. G-2

G.3.2 William P. Hobby Airport.................................................. G-5

G.3.3 Ellington Field...................................................................... G-8

G.4 Future Construction Project Emissions ........................................ G-11

G.4.1 William P. Hobby Airport.................................................. G-11

G.4.2 Ellington Field...................................................................... G-28

G.4.3 George Bush Intercontinental Airport.............................. G-31

### HAS608 

# iii TABLES

Page

A-1 2005 Monthly Operations by Aircraft Category at IAH............................. A-1

A-2 Annual Operations by Aircraft Category at IAH........................................ A-2

A-3 2005 Monthly Operations by Aircraft Category at HOU ........................... A-2

A-4 Annual Operations by Aircraft Category at HOU ...................................... A-3

A-5 2005 Monthly Tower Counts by Ai rcraft Category at EFD ....................... A-3

A-6 Annual Operations by Aircraft Category at EFD........................................ A-4

A-7 Ozone Season Proportions by Aircraft Category ........................................ A-5

A-8 2005 Annual Passenger Aircraft Mix by Airline and Aircraft Type

at IAH ................................................................................................................ A-6

A-9 2005 Annual Passenger Aircraft Mix by Airline and Aircraft Type

at HOU............................................................................................................... A-9

A-10 2005 General Aviation Mix by Ai rcraft Type at IAH.................................. A-10

A-11 2005 General Aviation Mix by Aircraft Type at HOU................................ A-12

A-12 2005 General Aviation Mix by Aircraft Type at EFD.................................. A-17

A-13 2005 Cargo Mix by Aircraft Type at IAH ..................................................... A-20

A-14 2005 Cargo Mix by Aircraft Type at EFD ..................................................... A-21

A-15 Annual LTO by Aircraft-En gine Combination at IAH............................... A-22

A-16 Annual LTO by Aircraft-Engine Combination at HOU............................. A-31

A-17 Annual LTO by Aircraft-Engine Combination at EFD............................... A-39

A-18 Runway Utilization and Average Taxi in Time by Aircraft Type at IAH A-45

A-19 Runway Utilization and Average Taxi Out Time by Aircraft Type

at IAH ................................................................................................................ A-48

A-20 Runway Utilization and Average Taxi in Time by Aircraft Type

at HOU............................................................................................................... A-51

A-21 Runway Utilization and Average Taxi Out Time by Aircraft Type

at HOU............................................................................................................... A-54

A-22 Runway Utilization and Average Taxi In Time by Aircraft Type at EFD A-57

A-23 Runway Utilization and Average Taxi Out Time by Aircraft Type

at EFD ................................................................................................................ A-59

A-24 Delay-Demand Relationship at IAH ............................................................. A-61

A-25 Taxi In Times by Runway at IAH.................................................................. A-62

A-26 Taxi Out Times by Runway at IAH............................................................... A-62

A-27 Delay-Demand Relationship at HOU ........................................................... A-63

A-28 Future Taxi Times by Aircraft Type at HOU ............................................... A-64

B-1 PCA Usage at IAH ........................................................................................... B-2

B-2 PCA Usage at HOU ......................................................................................... B-2

B-3 APU Temperature Analysis ........................................................................... B-3

C-1 Time In Mode Survey at IAH......................................................................... C-2

C-2 Time In Mode Survey at HOU ....................................................................... C-4

C-3 GPU Usage at IAH........................................................................................... C-5

C-4 GSE Equipment Types .................................................................................... C-5

C-5 Fuel Truck Mileage at IAH ............................................................................. C-7

C-6 Fuel Truck Mileage at HOU ........................................................................... C-8

### HAS608 

# iv TABLES (continued)

Page

D-1 Daily Employee Parking Lot Entrances and Exits at IAH ......................... D-4

D-2 Daily Employee Parking Lot Entr ances and Exits at HOU........................ D-4

D-3 Daily Employee Parking Lot Entr ances and Exits at EFD ......................... D-5

D-4 Daily Rental Car Parking Lot Traffic at HOU.............................................. D-6

D-5a 2005 Parking Emission Factors at IAH.......................................................... D-8

D-5b 2005 Terminal Curbsides Emi ssion Factors at IAH .................................... D-9

D-6a 2011 Parking Emission Factors at IAH.......................................................... D-10

D-6b 2011 Terminal Curbsides Emi ssion Factors at IAH .................................... D-11

D-7a 2014 Parking Emission Factors at IAH.......................................................... D-12

D-7b 2014 Terminal Curbsides Em ission Factors at IAH .................................... D-13

D-8a 2017 Parking Emission Factors at IAH.......................................................... D-14

D-8b 2017 Terminal Curbsides Em ission Factors at IAH .................................... D-15

D-9a 2018 Parking Emission Factors at IAH.......................................................... D-16

D-9b 2018 Terminal Curbsides Em ission Factors at IAH .................................... D-17

D-10 2005 Parking Emission Factors at HOU........................................................ D-18

D-11 2011 Parking Emission Factors at HOU........................................................ D-19

D-12 2014 Parking Emission Factors at HOU........................................................ D-20

D-13 2017 Parking Emission Factors at HOU........................................................ D-21

D-14 2018 Parking Emission Factors at HOU........................................................ D-22

D-15 2005 Parking Emission Factors at EFD.......................................................... D-23

D-16 2011 Parking Emission Factors at EFD.......................................................... D-24

D-17 2014 Parking Emission Factors at EFD.......................................................... D-25

D-18 2017 Parking Emission Factors at EFD.......................................................... D-26

D-19 2018 Parking Emission Factors at EFD.......................................................... D-27

E-1 2005 Roadway Traffic Parameters at IAH.................................................... E-2

E-2 2005 Roadway Traffic Parameters at HOU .................................................. E-3

E-3 2005 Roadway Traffic Parameters at EFD .................................................... E-4

E-4 2005 Roadway Emission Factors.................................................................... E-6

E-5 2011 Roadway Emission Factors.................................................................... E-7

E-6 2014 Roadway Emission Factors.................................................................... E-8

E-7 2017 Roadway Emission Factors.................................................................... E-9

F-8 2018 Roadway Emission Factors.................................................................... E-10

F-1 2007 Boiler Consumption at IAH................................................................... F-1

F-2 2006 Boiler consumption at HOU.................................................................. F-2

F-3 2007 Generator Consumption at IAH ........................................................... F-3

F-4 2007 Incinerator Consumption at IAH.......................................................... F-3

F-5 2005 Jet A Fuel Consumption at HOU.......................................................... F-5

F-6 2005 Fuel Consumption at EFD ..................................................................... F-6

G-1 15L Construction Vehicle Emissions (Tons)................................................. G-3

G-2 15L Asphalt Emissions (Tons)........................................................................ G-3

G-3 9/27 Construction Vehicle Emissions (Tons)............................................... G-4

G-4 9/27 Asphalt Emissions (Tons)...................................................................... G-4

### HAS608 

# v TABLES (continued)

Page

G-5 Total 2005 Construction Emissions at IAH .................................................. G-5

G-6 Concourse B Construction Vehicle Emissions (Tons)................................. G-6

G-7 Airfield Repair Construction Vehicle Emissions (Tons) ............................ G-7

G-8 Airfield Repair Asphalt Emissions (Tons).................................................... G-7

G-9 Total 2005 Construction Emissions At Hou (Tons)..................................... G-8

G-10 Ramp Repair Construction Vehicle Emissions (Tons)................................ G-9

G-11 Ramp Repair Asphalt Emissions (Tons)....................................................... G-9

G-12 Aircraft Hangar Construction Vehicle Emissions (Tons)........................... G-10

G-13 Total 2005 Construction Emissions At Efd (Tons) ...................................... G-11

G-14 2011 Runway Extension Construction Vehicle Emissions (Tons)............. G-12

G-15 2014 Runway Extension Construction Vehicle Emissions (Tons)............. G-13

G-16 2017 Runway Extension Construction Vehicle Emissions (Tons)............. G-14

G-17 2018 Runway Extension Construction Vehicle Emissions (Tons)............. G-15

G-18 2011 12L/30R Upgrade Construction Vehicle Emissions (Tons).............. G-16

G-19 2014 12L/30R Upgrade Construction Vehicle Emissions (Tons).............. G-17

G-20 2017 12L/30R Upgrade Construction Vehicle Emissions (Tons).............. G-18

G-21 2018 12L/30R Upgrade Construction Vehicle Emissions (Tons).............. G-19

G-22 12L/30R Asphalt Emissions (Tons)............................................................... G-19

G-23 2011 Taxiway J Construction Vehicle Emissions (Tons) ............................ G-20

G-24 2014 Taxiway J Construction Vehicle Emissions (Tons) ............................ G-20

G-25 2017 Taxiway J Construction Vehicle Emissions (Tons) ............................ G-21

G-26 2018 Taxiway J Construction Vehicle Emissions (Tons) ............................ G-21

G-27 Taxiway J Asphalt Emissions (Tons)............................................................ G-22

G-28 2011 Freight Facility (Cargo) Construc tion Vehicle Emissions (Tons)..... G-22

G-29 2014 Freight Facility (Cargo) Construc tion Vehicle Emissions (Tons)..... G-23

G-30 2017 Freight Facility (Cargo) Construc tion Vehicle Emissions (Tons)..... G-23

G-31 2018 Freight Facility (Cargo) Construc tion Vehicle Emissions (Tons)..... G-24

G-32 2011 Freight Facility (Paving) Construction Vehicle Emissions (Tons) ... G-24

G-33 2014 Freight Facility (Paving) Construction Vehicle Emissions (Tons) ... G-25

G-34 2017 Freight Facility (Paving) Construction Vehicle Emissions (Tons) ... G-25

G-35 2018 Freight Facility (Paving) Construction Vehicle Emissions (Tons) ... G-26

G-36 Freight Facility Asphalt Emissions (Tons).................................................... G-26

G-37 2011 Future Construction Emissions at HOU (Tons) ................................. G-27

G-38 2014 Future Construction Emissions at HOU (Tons) ................................. G-27

G-39 2017 Future Construction Emissions at HOU (Tons) ................................. G-28

G-40 2018 Future Construciton Emissions at HOU (Tons) ................................. G-28

G-41 2011 ATC Tower Construction Vehicle Emissions (Tons) ......................... G-29

G-42 2014 ATC Tower Construction Vehicle Emissions (Tons) ......................... G-29

G-43 2017 ATC Tower Construction Vehicle Emissions (Tons) ......................... G-30

G-44 2018 ATC Tower Construction Vehicle Emissions (Tons) ......................... G-30

G-45 Future IAH Construction Emissions (Tons)................................................. G-45

### HAS608 

# vi FIGURES

Page

D-1 2005 Annual Public Parking Lot Traffic at IAH .......................................... D-1

D-2 2005 Ozone Season Weekday Public Parking Lot Traffic at IAH ............. D-2

D-3 2005 Annual Public Parking Lot Traffic at HOU......................................... D-2

D-4 2005 Ozone Season Weekday Public Parking Lot Traffic at HOU ........... D-3

D-5 2005 Annual Taxicab Lot Traffic at HOU ..................................................... D-6

F-1 2005 Jet A Fuel Consumption at IAH by Fuel Tank.................................... F-4

# Appendix A

**ESTIMATION OF EMISSIONS FROM**

**AIRCRAFT OPERATIONS**

### HAS608 

# A-1 

# Appendix A

**ESTIMATION OF EMISSIONS FR OM AIRCRAFT OPERATIONS** 

**A.1 INTRODUCTION**

This appendix provides a detailed explanation of the concepts, methodology, and input

data for estimating emissions from aircraft operations for the development of the 8-hour

ozone SIP for the Houston-Galveston-Brazoria (HGB) nonattainment area.

**A.2 AIRCRAFT OPERATIONS, FLEET MIX AND ENGINE TYPE**

**A.2.1 Annual Aircraft Operations**

Baseline operations in 2005 at IAH and HOU wer e derived from the data contained in

the FAA Air Traffic Activity Data System (ATADS) and the 2008 version of the FAA

Terminal Area Forecast (TAF) database. Fu ture operations at IAH were derived from

preliminary estimates as part of the Ma ster Plan and Capital Improvement Plan

Environmental Impact Statement (EIS). Th e forecast operations were based on the TAF

forecast accounting for the retirement cy cle of aircraft and expected airport

improvements. Future annual operations for HOU were derived from 2008 TAF.

Tables A-1 and A-2 shows the 2005 monthly aircraft operations and annual operations

from TAF at IAH.

Table A-1

**2005 MONTHLY OPERATIONS BY AIRCRAFT CATEGORY AT IAH**

HAS Emissions Inventory Study

Month Air Carrier Air Taxi Itinerant

General

Aviation Local

General

Aviation Itinerant

Military Local

Military

January 22,346 20,639 1,235 10 10 0

February 20,597 19,432 1,213 9 9 0

March 24,119 23,317 1,318 21 21 0

April 22,237 22,261 1,303 7 7 0

May 22,712 23,346 1,395 23 23 0

June 23,744 23,921 1,579 11 11 0

July 24,248 25,339 1,141 12 12 0

August 23,718 25,691 1,301 10 10 0

September 19,630 20,445 1,704 64 64 0

October 21,774 24,484 1,456 24 24 0

November 21,092 23,783 1,228 6 6 0

December 22,498 25,818 1,178 5 5 0

Source: FAA Air Traffic Activity Data System.

### HAS608 

# A-2 Table A-2

**ANNUAL OPERATIONS BY AIRCRAFT CATEGORY AT IAH**

HAS Emissions Inventory Study



# Year Air Carrier &

Cargo Air Taxi &

Commuter General

Aviation Military

2005 (a) 271,352 263,514 16,685 233

2011 285,872 289,939 14,460 252

2014 314,503 309,192 15,198 252

2017 342,998 326,829 16,071 252

2018 353,287 333,038 16,376 252

(a) Source: FAA 2008 Terminal Area Forecast and HNTB analysis.



# Tables A-3 and A-4 shows the 2005 monthly aircraft operations and annual operations

from TAF at IAH.

Table A-3

**2005 MONTHLY OPERATIONS BY AIRCRAFT CATEGORY AT HOU**

HAS Emissions Inventory Study



# Month Air Carrier Air Taxi Itinerant

General

Aviation Local

General

Aviation Itinerant

Military Local

Military

January 9,138 4,230 6,751 205 15 5

February 8,191 3,625 6,452 30 11 0

March 9,187 4,158 6,884 210 19 4

April 8,851 4,352 6,858 2 41 0

May 9,218 4,401 7,048 377 26 0

June 9,075 3,905 6,789 42 36 0

July 9,184 3,732 5,719 241 21 4

August 9,352 4,440 6,795 217 31 3

September 8,239 5,030 7,722 307 46 0

October 8,646 5,091 7,387 362 13 37

November 8,165 4,315 6,950 348 15 0

December 8,513 4,106 6,804 405 9 0

Source: FAA Air Traffic Activity Data System.

### HAS608 

# A-3 Table A-4

**ANNUAL OPERATIONS BY AIRCRAFT CATEGORY AT HOU**

HAS Emissions Inventory Study



# Year Commercial Air Taxi General

Aviation Military

2005 107,952 50,070 83,557 325

2011 104,986 44,789 81,431 613

2014 109,393 46,805 83,068 613

2017 113,983 48,913 88,015 613

2018 115,557 49,641 89,732 613

Source: 2008 FAA Terminal Area Forecast database.



# Baseline operations at EFD were derived from actual tower counts for each month in

2005. Table A-5 shows the tower counts.

Table A-5

**2005 MONTHLY TOWER COUNTS BY AIRCRAFT CATEGORY AT EFD**

HAS Emissions Inventory Study



# Month Cargo/Air

Taxi Itinerant

General

Aviation Local

General

Aviation Itinerant

Military Local

Military

January 118 4,363 1,648 2,355 1,151

February 120 4,518 2,567 2,851 1,758

March 194 5,978 3,012 3,966 2,535

April 233 5,935 3,275 3,702 2,313

May 146 5,996 3,188 3,631 2,444

June 132 5,646 2,871 3,638 2,470

July 102 4,453 2,415 2,299 1,371

August 289 5,410 3,245 3,822 2,908

September 280 5,594 3,203 3,237 2,243

October 353 5,803 3,256 3,341 2,205

November 302 4,258 2,293 2,236 1,430

December 267 3,711 1,998 1,596 1,020

Source: FAA Tower Records.

### HAS608 

# A-4 The baseline operations were grown for future years by the growth rate identified for

general aviation operations from the High gr owth case forecast for general aviation

operations in the 2004 Leigh Fisher Associates Master Plan. All military and cargo/air

taxi operations were constant. Table A-6 shows the future annual operations at EFD.

Table A-6

**ANNUAL OPERATIONS BY AIRCRAFT CATEGORY AT EFD**

HAS Emissions Inventory Study



# Year Cargo/Air

Taxi General

Aviation Military

2005 1,967 82,376 54,240

2011 50,487 101,950 54,240

2014 52,760 138,289 54,240

2017 55,135 203,554 54,240

2018 55,956 307,010 54,240



# A.2.2 Ozone Season Week **day Aircraft Operations**

The ozone season weekday aircraft operations were computed as a product of the

percentage of total annual operations that take place during the ozone season months

and then reduced by the ratio of weekend- to-weekday activity during the ozone season

months.

The percentage operations that occur duri ng the ozone season months were derived

from the monthly operations data from ATAD S and FAA tower records (see Tables A-1,

A-3 and A-5 for IAH, HOU and EFD respectively). The weekday-to-weekend

proportion for passenger service was derived from an Official Airline Guide (OAG)

schedule for the baseline year.

Weekday to weekend proportions for general aviation operations were derived from

touchdown/take off times from noise moni toring data from May 2008 to August 2008.

Military operations were assumed to have similar weekday-to-weekend proportions as

general aviation. Table A-7 shows the ozone season to annual and weekend to

weekday proportions by aircraft category.

### HAS608 

# A-5 Table A-7

OZONE SEASON PROPORTIONS BY AIRCRAFT CATEGORY

HAS Emissions Inventory Study



# Ozone Season to Annual Weekend to Weekday

Airport Air

Carrier/Taxi General

Aviation Military Air

Carrier/Taxi General

Aviation Military

IAH 76.0% 77.5% 88.1% 74.0% 80.4% 80.4%

HOU 75.9% 75.7% 88.1% 76.0% 80.3% 80.3%

EFD 79.6% 80.1% 82.3% 77.7% 77.7% 77.7%



# A.2.3 Fleet Mix

The fleet mix for commercial passenger op erations was obtained from the OAG

schedule of operations for each airport for calendar year 2005. This information was

then applied to the total annual and ozone season passenger aircraft operations to get

total operations by airline/aircraft type. Table A-8 and A-9 show the 2005 passenger

aircraft operations by airline and aircraft type at IAH and HOU respectively. There are

no scheduled passenger operations at EFD.

### HAS608 

# A-6 Table A-8

2005 ANNUAL PASSENGER AIRCRAFT MIX BY AIRLINE AND AIRCRAFT TYPE AT IAH

HAS Emissions Inventory Study



# Airline OAG Aircraft

Type OAG

LTO

(a) EDMS

Aircraft Type Tower

Distributed

LTO (b) LTO %

AAL B738 1,902 B738 1,854 0.7%

AAL MD80 2,944 MD82 2,871 1.1%

AAL MD83 1,028 MD83 1,002 0.4%

ACA A319 292 A319 285 0.1%

AFR B772 303 B773 296 0.1%

AFR B77W 62 B773 61 0.0%

AJM A320 40 A320 39 0.0%

AMX B737 228 B737 223 0.1%

AMX MD87 499 MD87 487 0.2%

ASH CRJ9 214 CRJ9 209 0.1%

ASH CRJ9 195 CRJ9 190 0.1%

ASQ CRJ2 1,12 4 CRJ2 1,13 8 0.4%

ASQ CRJ7 469 CRJ7 457 0.2%

AWE A319 26 A319 26 0.0%

AWE A320 926 A320 903 0.3%

AWE B732 2 B733 2 0.0%

AWE B733 701 B733 684 0.3%

AWE B752 431 B752 420 0.2%

BAW B772 611 B772 596 0.2%

BTA E135 11,5 85 E140 11,736 4.4%

BTA E145 102,466 E145 103,779 39.2%

CAL A343 235 A343 230 0.1%

CAL B744 1 B744 1 0.0%

CAY B737 112 B732 108 0.0%

CJC SF34 8,905 SF34 9,017 3.4%

CMP E145 2 E190 2 0.0%

COA B733 22,5 38 B733 21,979 8.3%

COA B735 20,372 B735 19,863 7.5%

COA B737 9,493 B737 9,257 3.5%

COA B738 29,914 B738 29,162 11.0%

COA B739 6,438 B739 6,276 2.4%

COA B752 6,000 B752 5,852 2.2%

COA B752 1,808 B752 1,763 0.7%

COA B753 3,311 B753 3,227 1.2%

### HAS608 

# A-7 Table A-8 (Continued)

2005 ANNUAL PASSENGER AIRCRAFT MIX BY AIRLINE AND AIRCRAFT TYPE AT IAH

HAS Emissions Inventory Study



# Airline OAG Aircraft

Type OAG

LTO

(a) Aircraft Type

Used Tower

Distributed

LTO (b) LTO %

COA B762 601 B762 587 0.2%

COA B764 839 B764 818 0.3%

COA B764 1,278 B764 1,245 0.5%

COA B772 1,626 B772 1,585 0.6%

COA E135 2 E140 1 0.0%

COA E145 7 E145 6 0.0%

COA SF34 1 MD82

‐ 0.0%

COM CRJ2 273 CRJ2 277 0.1%

COM CRJ7 593 CRJ7 578 0.2%

CPA MD80 75 MD82 36 0.0%

DAL B732 751 B732 733 0.3%

DAL B733 869 B733 847 0.3%

DAL MD80 1,37 6 MD82 1,341 0.5%

DAL MD90 85 MD90 83 0.0%

EGF CRJ7 53 CRJ7 52 0.0%

EGF E140 159 E140 161 0.1%

EGF E145 270 E145 273 0.1%

FFT A318 253 A318 246 0.1%

FFT A319 824 A319 801 0.3%

FLG CRJ2 383 CRJ2 388 0.1%

JZA CRJ2 489 CRJ2 494 0.2%

JZA CRJ7 900 CRJ7 878 0.3%

JZA CRJ7 158 CRJ7 154 0.1%

KLM B737 49 B734 48 0.0%

KLM B744 364 B744 355 0.1%

KLM B764 131 B744 128 0.0%

MES CRJ2 17 CRJ2 17 0.0%

NWA A319 2,69 6 A319 2,629 1.0%

NWA A320 175 A320 171 0.1%

NWA DC93 857 DC93 837 0.3%

NWA DC95 13 DC95 13 0.0%

PIA B772 53 B772 51 0.0%

RPA E170 199 E170 193 0.1%

### HAS608 

# A-8 Table A-8 (Continued)

2005 ANNUAL PASSENGER AIRCRAFT MIX BY AIRLINE AND AIRCRAFT TYPE AT IAH

HAS Emissions Inventory Study



# Airline OAG Aircraft

Type OAG

LTO

(a) Aircraft Type

Used (c) Tower

Distributed

LTO (b) LTO %

SCX B738 15 B738 15 0.0%

SKW CRJ2 65 CRJ2 66 0.0%

SKW CRJ7 477 CRJ7 466 0.2%

SKW E120 4,243 E120 4,302 1.6%

SKW E170 956 CRJ7 933 0.4%

SKW E170 649 CRJ7 633 0.2%

SWA B732 12 B733 12 0.0%

SWA B733 180 B733 175 0.1%

SWA B735 296 B735 288 0.1%

SWA B737 11 B737 11 0.0%

SWA B737 709 B737 692 0.3%

TAI A319 18 A319 18 0.0%

TAI A320 400 A320 391 0.1%

UAL A319 803 A319 783 0.3%

UAL A320 186 A320 182 0.1%

UAL B733 1,08 5 B733 1,057 0.4%

UAL B735 759 B735 740 0.3%

UAL B752 5 B752 5 0.0%

USA B733 884 B733 861 0.3%

USA B734 1 B734 1 0.0%

USA CRJ2 4 CRJ2 4 0.0%

USA CRJ7 694 CRJ7 676 0.3%

USA E170 2,58 7 CRJ7 2,52 2 1.0%

UNK MD80 15 MD82 16 0.0%

(a) Source: Official Airline Guide

(b) ATADS/2008 TAF database distributed by LTO proportion based on OAG LTO

(c) Represents aircraft type modeled in EDMS for estimation of emissions.

Deviations from OAG aircraft type represent actual aircraft type flown.

### HAS608 

# A-9 Table A-9

**2005 ANNUAL PASSENGER AIRCRAFT MIX BY AIRLINE AND AIRCRAFT TYPE AT HOU** 

HAS Emissions Inventory Study



# Airline OAG

Aircraft

Type OAG

LTO

(a) Aircraft Type

Used (c) Tower

Distributed

LTO (b) LTO %

AAL MD80 821 MD82 1,134 1.4%

AAL MD83 418 MD83 578 0.7%

LOF E145 20 E145 28 0.0%

CHQ E140 105 E140 145 0.2%

EGF E145 3,191 E145 4,409 5.6%

EGF E140 257 E140 355 0.4%

COA B735 91 B735 126 0.2%

BTA E145 74 E145 102 0.1%

DAL B752 1 B752 3 0.0%

DAL MD80 212 MD80 293 0.4%

DAL B738 620 B738 859 1.1%

DAL B732 293 B732 404 0.5%

ASQ CRJ2 949 CRJ2 1,31 1 1.7%

ASQ CRJ7 298 CRJ7 412 0.5%

TRS B712 1,987 B712 2,745 3.5%

SCX B738 12 B738 17 0.0%

SWA B732 142 B732 198 0.2%

SWA B733 23,9 98 B733 33,156 42.0%

SWA B735 11,897 B735 16,438 20.8%

SWA B737 11,530 B737 15,931 20.2%

YXX B712 265 B712 366 0.5%

(a) Source: Official Airline Guide

(b) Daily activity from ATADS database distributed by LTO proportion based

on OAG LTO

(c) Represents aircraft type modeled in EDMS for estimation of emissions.

Deviations from OAG aircraft type represent actual aircraft type flown.



# The fleet mix for general aviation and ca rgo operations were derived from the 2008

noise monitoring data (May – August 2008). It was assumed that the fleet/engine type

mix for cargo operations did not change si gnificantly from 2005 to 2008. Table A-10,

A-11 and A-12 show the general aviation ope ration proportions derived by aircraft type

from the noise monitoring data at IAH, HOU and EFD respectively.

### HAS608 

# A-10 Table A-10

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

AC68 0.1%

AC90 0.9%

AH1 1.4%

B100 0.2%

B190 0.1%

BE20 4.1%

BE30 2.1%

BE36 0.2%

BE40 2.5%

BE55 0.1%

BE58 0.3%

BE90 1.6%

BE99 0.3%

C172 0.3%

C182 0.1%

C206 0.1%

C208 2.7%

C402 0.1%

C414 0.4%

C421 0.2%

C425 0.1%

C441 0.1%

C500 0.4%

C501 3.1%

C525 0.8%

C550 2.3%

C560 9.7%

C56X 1.9%

C650 1.2%

C680 3.2%

C750 3.9%

F27 0.1%

F900 1.1%

FA10 0.6%

FA20 0.9%

FA2TH 5.1%

FA50 3.5%

G100 0.2%

G150 0.4%

G200 0.5%

### HAS608 

# A-11 Table A-10 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

GLEX 2.5%

GLF2 0.1%

GLF3 0.6%

GLF4 11.3%

GLF5 4.8%

H25 9.4%

LJ25 0.1%

LJ31 0.6%

LJ35 4.1%

LJ40 0.3%

LJ45 3.0%

LJ55 0.5%

LJ60 2.4%

M20K 0.1%

MU2 0.3%

MU3 0.1%

P180 0.2%

PA31 0.1%

PA42 0.1%

PA46 0.1%

PC12 0.9%

PRM1 0.4%

SBR1 0.2%

WW24 1.3%

Source: May 2008-August 2008 Noise

Monitoring Data.

### HAS608 

# A-12 Table A-11

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

A319 0.01%

AC90 0.28%

ASTR 0.40%

B190 0.01%

B350 3.10%

B733 6.21%

B735 2.03%

B737 5.37%

B738 0.03%

B739 0.02%

B742 0.02%

B752 0.02%

B753 0.01%

BE10 0.36%

BE20 4.35%

BE30 0.67%

BE35 0.09%

BE36 0.34%

BE40 2.66%

BE58 0.82%

BE9L 2.71%

C182 0.18%

C206 0.07%

C208 0.06%

C25A 0.51%

C25B 0.60%

C421 0.32%

C425 0.03%

C500 0.29%

C501 0.62%

C525 1.60%

C550 3.63%

C560 4.84%

C56X 3.24%

C650 1.46%

C680 1.13%

C750 3.00%

CARJ 0.03%

CL30 1.22%

CL60 2.41%

DC9 0.02%

### HAS608 

# A-13 Table A-11 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

E135 0.59%

E145 0.62%

EA50 0.33%

F2TH 2.05%

F900 0.53%

FA10 0.26%

FA20 0.23%

FA50 1.11%

G150 0.68%

GALX 0.64%

GLEX 0.06%

GLF2 1.99%

GLF3 1.00%

GLF4 2.24%

GLF5 1.19%

GLOB 0.02%

H25B 6.72%

H25C 0.31%

LJ25 0.31%

LJ31 1.53%

LJ35 1.45%

LJ40 0.59%

LJ45 5.32%

LJ55 0.98%

LJ60 1.21%

M20P 0.07%

MD11 0.01%

MD80 0.08%

MU2 0.43%

P180 0.86%

PA46 0.11%

PC12 2.02%

SBR1 0.21%

WW24 2.13%

BE9T 0.41%

C414 0.29%

MU30 0.28%

BE55 0.14%

B732 0.02%

H25A 0.18%

B712 0.57%

### HAS608 

# A-14 Table A-11 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

PRM1 0.65%

C510 0.22%

B72Q 0.02%

C441 0.36%

C172 0.13%

P46T 0.23%

PAY3 0.12%

PAY2 0.08%

D328 0.74%

M20T 0.03%

C210 0.14%

AA5 0.03%

L39 0.06%

C340 0.06%

SR22 0.09%

J328 0.32%

TBM7 0.11%

G159 0.03%

BE90 0.12%

LR35 0.01%

C310 0.06%

PA32 0.04%

BE60 0.16%

C551 0.06%

AC95 0.04%

TBM8 0.03%

PAY1 0.11%

AEST 0.01%

SW3 0.22%

PA28 0.02%

PA34 0.07%

CL64 0.01%

AGB5 0.01%

BE9 0.02%

TRIN 0.01%

LR34 0.01%

DA10 0.02%

LR45 0.01%

PAY4 0.02%

MU20 0.01%

BE33 0.10%

### HAS608 

# A-15 Table A-11 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

GLF 0.01%

GLAS 0.02%

BL17 0.02%

PA31 0.05%

P51 0.02%

P28 0.01%

G2 0.03%

LJ24 0.05%

P210 0.01%

L29B 0.08%

C207 0.01%

P32R 0.01%

COL4 0.03%

SW4 0.02%

L29A 0.04%

MO20 0.02%

BE76 0.01%

AG5B 0.01%

G4 0.01%

PRM2 0.01%

BD9L 0.01%

P28R 0.02%

C320 0.01%

G200 0.01%

P46 0.02%

DH8A 0.02%

BA46 0.01%

B461 0.01%

C185 0.01%

DA50 0.01%

SR20 0.01%

AA5B 0.01%

BCAT 0.01%

H25 0.02%

JS31 0.02%

AC11 0.01%

B300 0.01%

PA24 0.01%

SJ30 0.01%

B222 0.01%

M20S 0.01%

### HAS608 

# A-16 Table A-11 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study



# Aircraft Type Percent LTO

BE80 0.01%

AA5A 0.01%

PAYE 0.01%

G36 0.01%

GL5T 0.02%

COL3 0.01%

FT2H 0.01%

LUSK 0.01%

AS35 0.01%

PA30 0.01%

LJ65 0.01%

P28A 0.01%

M20 0.01%

T206 0.01%

T46 0.01%

LR25 0.01%

M2OP 0.01%

WW2 0.01%

C82R 0.01%

HS25 0.02%

P32 0.01%

HUSK 0.01%

LR55 0.01%

HA4T 0.01%

L35 0.01%

AC14 0.01%

PA23 0.01%

H125 0.01%

Source: May 2008-August 2008

Noise Monitoring Data.

### HAS608 

# A-17 Table A-12

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study

Aircraft Type Percent LTO

A320 0.08%

AC90 0.16%

ASTR 0.08%

B350 6.01%

B733 0.62%

B735 0.16%

B737 0.16%

B738 0.23%

B752 0.16%

B762 0.08%

B772 0.16%

BE20 7.49%

BE30 2.50%

BE35 0.39%

BE36 1.48%

BE40 1.87%

BE58 1.64%

BE9L 1.48%

C182 1.80%

C206 0.23%

C208 2.03%

C25A 0.39%

C25B 1.72%

C421 1.56%

C425 0.08%

C500 0.55%

C501 0.23%

C525 1.17%

C550 1.48%

C560 1.48%

C56X 1.01%

C650 1.56%

C680 0.16%

C750 1.25%

CARJ 0.16%

CL30 0.16%

CL60 0.78%

DC9 1.17%

E135 0.70%

E145 1.01%

EA50 3.59%

F2TH 0.31%

F900 0.31%

FA10 1.80%

### HAS608 

# A-18 Table A-12 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study

Aircraft Type Percent LTO

FA50 0.70%

GLF2 0.08%

GLF4 1.56%

GLF5 0.39%

H25B 2.81%

LJ25 0.31%

LJ31 0.39%

LJ35 0.94%

LJ40 0.47%

LJ45 0.16%

LJ55 0.39%

LJ60 0.31%

M20P 0.94%

MU2 0.47%

P180 0.39%

PA46 0.62%

PC12 0.70%

SBR1 10.38%

WW24 0.31%

BE9T 0.16%

C414 0.23%

BE55 0.94%

B712 0.08%

PRM1 0.23%

C441 0.47%

C172 0.62%

P46T 0.70%

PAY3 0.39%

PA44 0.16%

PAY2 0.94%

M20T 0.08%

C210 1.33%

AA5 0.23%

L39 0.16%

C340 1.95%

SR22 0.70%

TBM7 0.39%

G159 0.23%

BE90 0.23%

C310 0.31%

PA32 0.78%

BE60 0.78%

AC95 0.08%

### HAS608 

# A-19 Table A-12 (continued)

**2005 GENERAL AVIATION MIX BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study

Aircraft Type Percent LTO

TBM8 0.16%

PAY1 0.08%

AEST 0.16%

SW3 5.00%

PA34 1.95%

DA10 0.08%

BE33 0.08%

PA31 0.55%

LJ24 0.47%

L29B 1.09%

P32R 0.47%

COL4 0.70%

L29A 0.16%

MO20 0.31%

BE76 0.08%

SR20 0.16%

AA5B 0.16%

PA24 0.16%

COL3 0.08%

PA30 0.08%

P28A 0.16%

P32T 0.08%

PA27 0.08%

T34P 0.08%

C10T 0.08%

MT23 0.08%

P28B 0.08%

LNC2 0.08%

EXP 0.16%

T46T 0.08%

MO2 0.08%

C0L3 0.08%

Z566 0.08%

C177 0.08%

DA40 0.39%

AC6L 0.08%

DC3 0.08%

I2 0.08%

BE95 0.16%

HXC 0.08%

Source: May 2008-August 2008

Noise Monitoring Data.

### HAS608 

# A-20 Table A-13 and A-14 show the cargo operation proportions derived by aircraft type

from the noise monitoring data at IAH and EFD respectively.

Table A-13

**2005 CARGO MIX BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study

Operator Aircraft Type Percent LTO

ABX B762 9.6%

AJT B727 0.1%

ATN B762 0.2%

ATN DC87 7.3%

CKS B741 0.1%

CKS B742 0.2%

CLX B744 5.0%

DHL A330 0.0%

DHL A343 14.1%

DHL B727 7.9%

EIA B742 0.2%

FDX A306 1.2%

FDX A310 8.6%

FDX B727 0.5%

FDX DC10 12.9%

FDX MD11 0.1%

GTI B742 0.4%

JUS FA20 0.2%

KFS B727 0.8%

KFS LJ25 0.2%

NAO B763 0.3%

TDX B742 0.1%

TWN AN12 0.4%

UPS A306 10.4%

UPS B752 15.6%

UPS B763 2.0%

UPS DC87 0.8%

VDA AN124 0.8%

Source: May 2008-August 2008 Noise Monitoring

Data.

### HAS608 

# A-21 Table A-14

**2005 CARGO MIX BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study



# Operator Aircraft Type Percent LTO

NAO B763 25.00%

AJT B722 62.50%

AJT B727 12.50%

Source: May 2008-August 2008 Noise

Monitoring Data.



# A.2.3 Aircraft Engine Type

For commercial passenger airlines and cargo operators, the combinations of

airline/aircraft type/engine types operatin g at HAS were derived using the 2007/2008

edition of JP Airline-Fleets International (JP Fleets). JP Fleets contains engine type

information for each airline, air taxi,* l arge non-commercial government, and corporate

operator. If an aircraft category/airline/aircraft type was found to have more than one

engine type match in JP Fleets, then a pr oportional distribution of engine types was

used.

For general aviation and military aircraft, the default engine type in EDMS was used. If

EDMS did not have a default engine type, th en the most common engine type for that

particular aircraft type was used.

Table A-15, A-16 and A-17 show the number of LTOs by aircraft type-engine type

combination for IAH, HOU and EFD.

*For-hire passenger or cargo aircraft which operates on an on-demand basis.HAS608A-22Table A-15ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWCRG ABX B767-2 1GE010 2361336413618254649645431012570CRG AJT B727-2 1PW013 2121111111CRG ATN B767-2 1GE010 421161481691710CRG ATN DC8-7 1CM003 181102156881025741232112CRG CKS B747-1 1PW021 2111000000CRG CKS B747-2 1PW025 429553724166376436CRG CLX B747-4 1GE024 41236637593370397542CRG CLX B747-4 4RR037 824613375117661417914984CRG DHL A330-3 3RR030 1100000000CRG DHL A340-3 1CM010 11565110030174023CRG DHL A340-3 2CM015 233131320061348246CRG DHL B727-2 1PW010 68387743452527152112CRG DHL B727-2 1PW011 7485533221CRG DHL B727-2 1PW014 68387743452527152112CRG DHL B727-2 1PW016 26153017181011685CRG DHL B727-2 1PW005 201122121378563CRG DHL B727-2 1PW007 7485533221CRG EIA B747-2 1GE009 11241418101710169CRG EIA B747-2 1PW024 327140543050284827CRG FDX A300B4-6 2GE039 2111111111CRG FDX A300B4-6 3GE056 181063636363CRG FDX A300B4-6 1PW048 10632324242CRG FDX A310-2 1GE013 1076012269129731317413174CRG FDX A310-2 1PW028 53306134643665376537CRG FDX A310-2 1PW044 53306134643665376537CRG FDX B727-2 1PW010 6374422121CRG FDX B727-2 1PW013 4242322111OSW – Ozone Season Weekday; CRG – Cargo; PXN – Passenger-Narrow; PXW – Passenger-Wide;PXC – Passenger-Commuter;HAS608A-23Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWCRG FDX B727-2 4PW070 2121111111CRG FDX DC10-1 3GE078 79446537613455315430CRG FDX DC10-1 1GE001 2381341961101831031669316191CRG FDX MD11 1GE031 11272153276155284160287162CRG FDX MD11 1PW052 11272153276155284160287162CRG GTI B747-2 1GE009 1062371331811021659316090CRG JUS FAL20-C CF700D 6353534242CRG KFS B727-2 1PW009 5363322121CRG KFS B727-2 1PW007 15817101066353CRG KFS LEAR25 CJ6106 42148137116116CRG NAO B767-3 2GE055 852112301741234425CRG TDX B747-2 1PW024 214726362033193218CRG TWN AN12 T56-1 10632000000CRG UPS A300B4-6 1PW048 2561449051915192529252CRG UPS B757-2 4PW073 19210810660127721226912168CRG UPS B757-2 3RR028 19210810660127721226912168CRG UPS B767-3 2GE055 502813677194109259146282159CRG UPS DC8-7 1CM003 201117101164221CRG VDA AN124 1ZM001 20112816281629162916GAV UNK GXPRESS 4BR005 2141333321342136223723GAV UNK LEAR25 CJ6106 642113191217111610GAV UNK LEAR31 1AS001 493110264925778497547GAV UNK LEAR35 1AS001 348217229143214133178111168105GAV UNK LEAR40 1AS001 24154126432746294830GAV UNK LEAR45 1AS001 257160416259440274472294487303GAV UNK LEAR55 1AS002 43275736523243274126GAV UNK LEAR60 TFE731 202126211131222138238148246153OSW – Ozone Season Weekday; CRG – Cargo; PXN – Passenger-Narrow;PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – GeneralAviation; UNK – UnknownHAS608A-24Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK BEECH1900-C PT67D 241500000000GAV UNK BEECH200 PT6A41 6400000000GAV UNK BEECH300 P660AG6400000000GAV UNK BEECH36 TIO540 22614100000000GAV UNK BEECH400 1PW03764566353600374645402662412GAV UNK BEECH55 TIO540 301900000000GAV UNK BEECH58 TIO540 1912416259380237283176254158GAV UNK BEECH90 PT6A21 12700000000GAV UNK BEECH99 PT6A20 6400000000GAV UNK CNA172 IO320 362200000000GAV UNK CNA182 IO360 26216300000000GAV UNK CNA206 IO360 6842543338499311397247369230GAV UNK CNA208 P6114A 1951217647794987548955GAV UNK CNA402 TIO540 1599900000000GAV UNK CNA414 TIO540 81851000000000GAV UNK CNA421 TIO540 1046500000000GAV UNK CNA425 PT6A60 26816700000000GAV UNK CNA441 TPE8 33020600000000GAV UNK CNA500 1PW03549312516221419121811GAV UNK CNA501 1PW03573455333543458366037GAV UNK CNA525 1PW035433270347216360224384239397247GAV UNK CNA550 1PW036293183240150247154262163272169GAV UNK CNA551 1PW036915721212121GAV UNK CNA560 1PW03764540336570355612381629392GAV UNK CNA560-XL 1PW0371912613382642400688429708441GAV UNK CNA650 1AS002 3019232145242151258161267166GAV UNK CNA680 7PW0804327302188389242653407749467OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-25Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK GULF3 MK511 49315534 513243274126GAV UNK GULF4 1RR019 952593604376 626390668416693432GAV UNK GULF5 4BR008 40925513584 140871499315496GAV UNK GULF2 MK511 12721 212121GAV UNK HS125-1 1AS002 79492214 201217111610GAV UNK HS125-7 1AS002 71444532 323232GAV UNK IAI1124 1AS002 1106910364 955979497547GAV UNK MU2 TPE10N 241500 000000GAV UNK MU300 1PW037 127117 1068585GAV UNK MOONEY-M20K TSIO36 6400 000000GAV UNK P180 PT6A60 191200 000000GAV UNK PC12 PT67B 734500 000000GAV UNK PA31T PT6A28 6400 000000GAV UNK PA42 TPE10N 6400 000000GAV UNK PA46T PT6A42 12700 000000GAV UNK BEECH1900-C PT67D 6400 000000GAV UNK BEECH55 TIO540 12700 000000GAV UNK BEECH99 PT6A20 241500 000000GAV UNK BEECH58 TIO540 2415371231 342213254158229143GAV UNK BEECH36 TIO540 191200 000000GAV UNK BEECH400 1PW037 214133504314 538335580361595371GAV UNK BEECH100 PT6A28 191200 000000GAV UNK BEECH90 PT6A21 1348300 000000GAV UNK PREMIER 1PW035 30197949 1006215898181113GAV UNK BEECH200 PT6A41 34821700 000000GAV UNK BEECH300 P660AG 17711000 000000GAV UNK COMMANDER680TIO540 6400 000000OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-26Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK CMMNDR690 TPE10 734500 000000GAV UNK SABR40 CF700D 19122717 281730193119GAV UNK LEAR24 CJ6106 0032 212121GAV UNK CNA551 1PW036 0021 212121GAV UNK HS125-3 1AS002 00127 138149149GAV UNK IAI1125 1AS002 002918 301932203321GAV UNK IAI1126 7PW077 0014993 137851147110666GAV UNK JETSTAR-I CF700D 0085 746464GAV UNK WB57 TF3333 0053 424232GAV UNK PA31 TIO540 001083675 1027640850530805502GAV UNK HS125-1000 TFE731 001003625 105966011357071171730MIL UNK MIL-AH1S T5311D 117831410 1410139128MIL UNK MIL-C17A F1171 0021 212121MIL UNK MIL-T38 J855HA 00179127 178126179127180127PXC ASH CRJ9 6GE092 39922547972701 466226255118288152772971PXC ASQ CRJ2 5GE084 113864158403288 1027578722406621350PXC ASQ CRJ7 5GE084 4572579352 1126399569453PXC BTA ERJ140 6AL017 11736660700 000000PXC BTA ERJ145 4AL003 59545335245420530517 609503431561601346816189134845PXC BTA ERJ145 6AL020 44234249044026722670 452782549245761257634597725885PXC CJC SAAB340-B CT7-5 9017507781734601 000000PXC CMP ERJ190 6GE094 21554312 10766063244182639762238PXC COA ERJ140 6AL017 1100 000000PXC COA ERJ145 4AL003 3232 323232PXC COA ERJ145 6AL020 3232 323232PXC COM CRJ2 5GE084 2771561422801 2501411769915185PXC COM CRJ7 5GE083 57832511866 141791257011967OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-27Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWPXC EGF CRJ7 5GE083 5229116137116116PXC EGF ERJ140 6AL012 1619100000000PXC EGF ERJ145 4AL003 273154249140280158283159284160PXC FLG CRJ2 5GE084 38821819921121350197246138212119PXC JZA CRJ2 1GE035 49427825361428446251314177270152PXC JZA CRJ7 6GE092 1032581211119252142223126213120PXC MES CRJ2 5GE084 1710895016911695PXC RPA ERJ170 6GE094 1931091217685107660612977301373773PXC SKW CRJ2 5GE084 6637340191603442243620PXC SKW CRJ7 5GE084 1016572207117248140219123210118PXC SKW CRJ7 5GE083 1016572207117248140219123210118PXC SKW EMB120 PW118A 2151121100000000PXC SKW EMB120 PW118B 2151121100000000PXC UNK CL300 6AL006 8246334188350197374211387218PXC UNK CL600 5GE084 16915185159901709617699PXC UNK ATR42-5 PW127E 0087854946181101019618676105151888710633PXC UNK CRJ705-LR 6GE092 00166693817931009937528651367PXC UNK DHC8Q-4 PW150A 00149618423308401736337394210533964022317PXC UNK CV580 501D22 0032000000PXC UNK DO328JET 7PW078 00116116127127PXC UNK ERJ135 6AL012 0060553409109611176612068PXC UNK ERJ175 6GE094 001521856143480716589331735977PXC UNK ERJ145 4AL003 00741374232PXC USA CRJ2 5GE084 422112423221PXC USA CRJ7 5GE083 1296730265149316178280158268151PXC USA CRJ7 6GE092 19021071388218464261411231393221PXN AAL B737-8 3CM034 1854104425441432316117803549199836832074OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-28Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWPXN AAL MD82 4PW070 287116161656932 1690951679382341192PXN AAL MD83 4PW070 1002564207117 000000PXN ACA A319-1 4CM036 28516016593 180101262148290163PXN AJM A320-1 2CM014 39223117 33191257015688PXN AMX B737-7 3CM031 223126300169 294166343193360203PXN AMX MD87 1PW019 48727453 000000PXN AWE A319-1 3IA007 2615158 16923132615PXN AWE A320-1 1IA001 263148209118 2241268364711043587PXN AWE A320-1 1IA003 640360508286 5463072035114625371428PXN AWE B737-3 1CM004 38121513978 426374PXN AWE B737-3 1CM005 30517211263 325363PXN AWE B757-2 3RR028 420236232131 276155267150264149PXN CAY B737-2 1PW011 362000 000000PXN CAY B737-2 1PW013 362000 000000PXN CAY B737-2 1PW014 362000 000000PXN COA B737-3 1CM004 219791237480374525 214120351198397224PXN COA B737-5 1CM007 198631118382224629 000000PXN COA B737-7 3CM032 92575212124767024 122266883142728035149768431PXN COA B737-8 3CM033 29162164184000622523 497072798555808314205792232610PXN COA B737-9 3CM033 6276353375164232 573832306112344162453516PXN COA B757-2 3RR034 7615428742012365 501328224837272347842693PXN COA B757-3 3RR034 3227181752582960 546230756095343163153555PXN COA B737-9 3CM034 00153968668 317371786830576172143022117014PXN CPA MD82 4PW070 36202112 21129542PXN DAL B737-2 1PW010 48927500 000000PXN DAL B737-2 1PW011 24413700 000000PXN DAL B737-3 CF563B 847477310175 85148158OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-29Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWPXN DAL MD82 4PW070134175577443679044531717815990PXN DAL MD90 1IA002 83473922000000PXN FFT A318-1 7CM0482461386893881076606649365506285PXN FFT A319-1 3CM027601338350197380214554312613345PXN FFT A319-1 3CM0282001131166512671184104204115PXN KLM B737-4 1CM007482753630271740429616715587PXN NWA A319-1 4CM03626291480152886016619352420136226781508PXN NWA A320-1 1CM008171961367714682543306677381PXN NWA DC9-3 1PW0101206863000000PXN NWA DC9-3 1PW005287162148110000PXN NWA DC9-3 1PW0074302422112111111PXN NWA DC9-5 1PW01313700000000PXN SCX B737-8 3CM0341582011251428162916PXN SWA B737-3 1CM0041871056939213232PXN SWA B737-5 1CM00428816211967000000PXN SWA B737-7 3CM03170339694753392852210836101137640PXN TAI A319-1 3IA007 18101061161691810PXN TAI A320-1 1IA003 39122031017533318712426991549872PXN UAL A319-1 3IA006 783441455256495279721406798449PXN UAL A320-1 1IA003 1821021448115587577325720405PXN UAL B737-3 1CM007105759538621710617101911PXN UAL B737-5 1CM007740417306172000000PXN UAL B757-2 4PW0725332323232PXN UNK MD82 4PW07016995954221PXN UNK BAC111-2 MK511 0011000000PXN UNK B727-1 1PW004003922251413795PXN UNK MD88 1PW0190090450971740428816214582OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General Aviation.HAS608A-30Table A-15(continued)ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT IAHHAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWPXN USA B737-3 1CM004 861485315 177 8 5 14 8 16 9PXN USA B737-4 1CM005 1111 6 15 8 6 3 3 2PXW AFR B777-3 7GE099 613481 46 129 73 218 123 248 140PXW AFR B777-3 5GE086 191125 14 39 22 67 38 76 43PXW AFR B777-3 6GE089 9453126 71 199 112 337 190 384 216PXW AFR B777-3 6GE090 573276 43 120 68 204 115 232 131PXW AFR B777-3 5RR040 12671168 95 266 150 450 253 512 288PXW BAW B777-2 5GE086 382143 24 51 29 54 30 56 32PXW BAW B777-2 6GE089 190107212 119 253 142 271 153 277 156PXW BAW B777-2 6GE090 11464126 71 151 85 162 91 166 93PXW BAW B777-2 5RR040 254143282 159 338 190 361 203 370 208PXW CAL A340-3 2CM015 2301293 2 0 0 60 34 81 46PXW CAL B747-4 1GE024 112 1 1 1 2 1 2 1PXW COA B767-2 2GE047 5873301590 895 2048 1153 2392 1347 2510 1413PXW COA B767-4ER 3GE058 206311611485 836 1434 807 987 556 838 472PXW COA B777-2 3GE061 15858921761 991 2108 1187 2254 1269 2305 1298PXW COA B777-3 6GE091 00678 382 1399 788 2811 1583 3289 1852PXW KLM B747-4 1GE024 483272778 438 687 387 826 465 873 491PXW PIA B777-2 7GE097 171019 11 22 12 24 14 24 14PXW PIA B777-2 6GE091 341938 21 46 26 49 28 50 28PXW UNK A300C4-6 2GE039 00734 413 768 432 809 455 824 464PXW UNK A330-2 7PW082 00108 61 0 0 86 48 116 65PXW UNK A340-6 6RR041 0095 53 108 61 43 24 22 12PXW UNK B747-4 2GE045 00122 69 251 141 317 178 340 191PXW UNK B777-2LR 7GE097 00519 292 717 404 591 333 549 309PXW UNK B777-3 6GE091 00226 127 466 262 598 337 643 362PXW UNK DC10-3 3GE078 0035 20 34 19 29 16 27 15OSW – Ozone Season Weekday; PXN – Passenger-Narrow; PXW – Passenger-Wide; PXC – Passenger-Commuter; GAV – General AviationHAS608A-31Table A-16**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK A319-1 3IA006 5 3 5 3 5 3 5 3 5 3GAV UNK CNA172 IO320 14 9 14 9 14 9 15 9 15 9GAV UNK CNA172 IO320 2 1 2 1 2 1 2 1 2 1GAV UNK A1B IO360 2 1 2 1 2 1 2 1 2 1GAV UNK COMMANDER690 TPE10 115 70 112 68 114 69 121 73 123 75GAV UNK COMMANDER690 TPE10 16 10 16 10 16 10 17 10 17 10GAV UNK A1B IO360 2 1 2 1 2 1 2 1 2 1GAV UNK HS125-1 1AS002 163 99 159 97 162 98 172 104 175 106GAV UNK BEECH1900-C PT67D 5 3 5 3 5 3 5 3 5 3GAV UNK BELL206 250B17 5 3 5 3 5 3 5 3 5 3GAV UNK BEECH300 P660AG 2 1 2 1 2 1 2 1 2 1GAV UNK BEECH300 P660AG 1,279 777 1,246 757 1,272 773 1,347 818 1,374 835GAV UNK BAE146-100 1TL002 2 1 2 1 2 1 2 1 2 1GAV UNK B717-2 4BR002 237 144 231 140 236 143 250 152 255 155GAV UNK B737-2 1PW010 9 5 9 5 9 5 9 5 10 6GAV UNK B737-3 1CM007 2,567 1,559 2,502 1,520 2,552 1,550 2,704 1,642 2,757 1,675GAV UNK B737-5 1CM007 840 510 819 497 835 507 885 538 902 548GAV UNK B737-7 3CM031 2,221 1,349 2,164 1,314 2,208 1,341 2,339 1,421 2,385 1,449GAV UNK B737-8 3CM034 12 7 12 7 12 7 13 8 13 8GAV UNK B737-9 3CM033 7 4 7 4 7 4 7 4 8 5GAV UNK B747-2 1PW025 9 5 9 5 9 5 9 5 10 6GAV UNK B757-2 4PW072 7 4 7 4 7 4 7 4 8 5GAV UNK B757-3 3RR034 5 3 5 3 5 3 5 3 5 3GAV UNK BAE146-100 1TL002 2 1 2 1 2 1 2 1 2 1GAV UNK BEECH90 PT6A21 2 1 2 1 2 1 2 1 2 1GAV UNK BEECH100 PT6A28 150 91 146 89 149 90 158 96 161 98GAV UNK BEECH200 PT6A41 1,799 1,093 1,753 1,065 1,788 1,086 1,895 1,151 1,932 1,173OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-32Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK BEECH300 P660AG 278 169 271 165 276 168 293 178 299 182GAV UNK BEECH36 TIO540 42 26 41 25 42 26 44 27 45 27GAV UNK BEECH36 TIO540 40 24 39 24 40 24 42 26 43 26GAV UNK BEECH36 TIO540 141 86 137 83 140 85 149 90 151 92GAV UNK BEECH400 1PW037 1,098 667 1,070 650 1,092 663 1,157 703 1,179 716GAV UNK BEECH55 TIO540 59 36 57 35 59 36 62 38 63 38GAV UNK BEECH58 TIO540 341 207 332 202 339 206 359 218 366 222GAV UNK BEECH60 TIO540 64 39 62 38 64 39 67 41 69 42GAV UNK BEECH60 TIO540 2 1 2 1 2 1 2 1 2 1GAV UNK BEECH90 PT6A21 2 1 2 1 2 1 2 1 2 1GAV UNK BEECH90 PT6A21 7 4 7 4 7 4 7 4 8 5GAV UNK BEECH90 PT6A21 49 30 48 29 49 30 52 32 53 32GAV UNK BEECH90 PT6A21 1,119 680 1,091 663 1,112 675 1,179 716 1,202 730GAV UNK BEECH99 PT6A20 167 101 163 99 166 101 176 107 179 109GAV UNK CNA172 IO320 53 32 52 32 53 32 56 34 57 35GAV UNK CNA182 IO360 76 46 74 45 76 46 80 49 82 50GAV UNK CNA206 IO360 30 18 29 18 30 18 32 19 32 19GAV UNK CNA208 P6114A 26 16 25 15 26 16 27 16 28 17GAV UNK CNA210 TIO540 57 35 56 34 57 35 60 36 61 37GAV UNK CNA525 1PW035 212 129 207 126 211 128 223 135 228 138GAV UNK CNA525 1PW035 247 150 241 146 246 149 260 158 265 161GAV UNK CNA310 TIO540 23 14 22 13 23 14 24 15 25 15GAV UNK CNA310 TIO540 5 3 5 3 5 3 5 3 5 3GAV UNK CNA340 TIO540 26 16 25 15 26 16 27 16 28 17GAV UNK CNA414 TIO540 120 73 117 71 119 72 126 77 129 78GAV UNK CNA421 TIO540 131 80 128 78 130 79 138 84 141 86GAV UNK CNA425 PT6A60 14 9 14 9 14 9 15 9 15 9OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-33Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK CNA441 TPE81489014487147891569515997GAV UNK CNA500 1PW0351207311771119721267712978GAV UNK CNA501 1PW035256155249151255155270164275167GAV UNK CNA501 1PW03592569055915597599960GAV UNK CNA501 1PW035663403646392659400698424712432GAV UNKCNA5501PW0361,4989101,4608871,4899041,5789581,609977GAV UNK CNA551 1PW03623142213231424152515GAV UNK CNA560 1PW0372,0021,2161,9511,1851,9901,2092,1091,2812,1501,306GAV UNK CNA560-XL 1PW0371,3408141,3067931,3328091,4118571,439874GAV UNK CNA650 1AS002602366587357598363634385646392GAV UNKCNA6807PW080467284455276464282492299502305GAV UNK CNA750 6AL0221,2417541,2097341,2347501,3077941,333810GAV UNK CNA182 IO3605353535353GAV UNK CL300 6AL006503306490298500304530322540328GAV UNK CL600 5GE0849946049695899886001,0476361,067648GAV UNKCL6005GE0842121212121GAV UNK CNA172 IO3205353535353GAV UNK CNA172 IO320149149149159159GAV UNK DO328-1 PW119B303184295179301183319194325197GAV UNK FAL10 1AS0017474747485GAV UNKFAL501AS0022121212121GAV UNK DC9-1 1PW0047474747485GAV UNK DHC8-1 PW120A7474747485GAV UNK ERJ140 6AL017244148238145243148257156262159GAV UNK ERJ145 6AL020256155249151255155270164275167GAV UNKCNA172IO3201388413481137831458814890GAV UNK FAL2000EX 7PW080847514825501842511892542910553OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-34Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK FAL900 1AS002221134215131220134233142237144GAV UNK FAL10 1AS0011066410363105641126811469GAV UNK FAL20-C 1AS0029759955896581026210463GAV UNK FAL50 1AS002460279448272457278485295494300GAV UNK FAL2000EX 7PW0802121212121GAV UNKGULF1501AS002283172276168281171298181304185GAV UNK GULF150 1AS002127127127138138GAV UNK GULF2 MK511149149149159159GAV UNK GULF200 7PW0772121212121GAV UNK BEECH36 TIO5402121212121GAV UNKGULF41RR0192121212121GAV UNK GULF200 7PW077265161258157263160279169285173GAV UNK GLOBALEXPRESS 4BR0057474747485GAV UNK GLOBALEXPRESS 4BR00523142213231424152515GAV UNK GULF100 1AS0022121212121GAV UNKGULF2MK511823500802487818497867527884537GAV UNK GULF3 MK511412250402244410249434264442268GAV UNK GULF4 1RR019927563903548922560976593996605GAV UNK GULF5 4BR008492299479291489297518315528321GAV UNK GLOBALEXPRESS 4BR00595959595106GAV UNKHS125-11AS0022121212121GAV UNK GULF100 1AS00295959595106GAV UNK HS125-1000 1AS00276467445764680498250GAV UNK HS125-7 1AS0022,7741,6852,7031,6422,7581,6752,9221,7752,9791,809GAV UNK GULF100 1AS0021277712475126771348113683GAV UNKH40007PW0792121212121GAV UNK GULF100 1AS0027474747485OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-35Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK DO328-1 PW119B1318012878130791388414186GAV UNK J31 TPE1095959595106GAV UNK JETSTAR-II/731 1AS00219121912191220122012GAV UNK J31 TPE1035213421352137223823GAV UNK LEAR35 1AS0012121212121GAV UNKLEAR351AS00126162515261627162817GAV UNK LEAR24 CJ610621132012211322132314GAV UNK LEAR25 CJ61061297812677128781368313984GAV UNK LEAR31 1AS001630383614373626380664403677411GAV UNK LEAR35 1AS001598363583354595361630383642390GAV UNKLEAR401AS001244148238145243148257156262159GAV UNK LEAR45 1AS0012,1981,3352,1421,3012,1851,3272,3151,4062,3601,433GAV UNK LEAR55 1AS002405246395240403245427259435264GAV UNK LEAR60 TFE731501304488296498302528321538327GAV UNK LEAR60 TFE7312121212121GAV UNKLEAR25CJ61062121212121GAV UNK LEAR35 1AS0012121212121GAV UNK LEAR35 1AS0012121212121GAV UNK LEAR45 1AS0015353535353GAV UNK LEAR55 1AS0022121212121GAV UNKMOONEY-M20K TSIO362121212121GAV UNK MOONEY-M20K TSIO3630182918301832193219GAV UNK MOONEY-M20K TSIO362121212121GAV UNK MOONEY-M20K TSIO36127127127138138GAV UNK MOONEY-M20K TSIO365353535353GAV UNKMD111GE0312121212121GAV UNK MD82 4PW07033203219332035213521OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-36Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK MOONEY-M20K TSIO36 9 5 9 5 9 5 9 5 10 6GAV UNK MU2 TPE10N 177 108 172 104 176 107 186 113 190 115GAV UNK MU2 TPE10N 2 1 2 1 2 1 2 1 2 1GAV UNK MU300 1PW037 117 71 114 69 116 70 123 75 126 77GAV UNK P180 PT6A60 355 216 346 210 353 214 374 227 381 231GAV UNK CNA210 TIO540 5 3 5 3 5 3 5 3 5 3GAV UNK PA28 IO360 2 1 2 1 2 1 2 1 2 1GAV UNK PA28 IO360 2 1 2 1 2 1 2 1 2 1GAV UNK PA28 IO360 7 4 7 4 7 4 7 4 8 5GAV UNK PA32 TIO540 2 1 2 1 2 1 2 1 2 1GAV UNK PA32 TIO540 5 3 5 3 5 3 5 3 5 3GAV UNK PA46T PT6A42 7 4 7 4 7 4 7 4 8 5GAV UNK PA46T PT6A42 97 59 95 58 96 58 102 62 104 63GAV UNK PA31T PT6A28 7 4 7 4 7 4 7 4 8 5GAV UNK PA23 TIO540 2 1 2 1 2 1 2 1 2 1GAV UNK PA24 TIO540 2 1 2 1 2 1 2 1 2 1GAV UNK PA28 IO360 7 4 7 4 7 4 7 4 8 5GAV UNK PA30 IO320 2 1 2 1 2 1 2 1 2 1GAV UNK PA31 TIO540 21 13 20 12 21 13 22 13 23 14GAV UNK PA32 TIO540 16 10 16 10 16 10 17 10 17 10GAV UNK PA34 IO360 30 18 29 18 30 18 32 19 32 19GAV UNK PA46T PT6A42 44 27 43 26 44 27 46 28 47 29GAV UNK PA31T PT6A28 44 27 43 26 44 27 46 28 47 29GAV UNK PA31T PT6A28 35 21 34 21 35 21 37 22 38 23GAV UNK PA31T PT6A28 51 31 50 30 51 31 54 33 55 33GAV UNK PA42 TPE10N 9 5 9 5 9 5 9 5 10 6GAV UNK PA42 TPE10N 2 1 2 1 2 1 2 1 2 1OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-37Table A-16(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAVUNKPC12PT67B835 507 814 494 830 504 880 534 897 545GAVUNKPREMIER1PW035270 164 263 160 268 163 284 172 290 176GAVUNKPREMIER1PW0352 1 2 1 2 1 2 1 2 1GAVUNKSABR40CF700D85 52 83 50 85 52 90 55 91 55GAVUNKSA226TCTPE10N5 3 5 3 5 3 5 3 5 3GAVUNKSR20IO3602 1 2 1 2 1 2 1 2 1GAVUNKSR22TIO54040 24 39 24 40 24 42 26 43 26GAVUNKSA227ATTPE10N92 56 90 55 91 55 97 59 99 60GAVUNKSA227ATTPE10N9 5 9 5 9 5 9 5 10 6GAVUNKCNA172IO3202 1 2 1 2 1 2 1 2 1GAVUNKTBM700PT6A6447 29 46 28 47 29 50 30 50 30GAVUNKTBM700PT6A64127 127 12 7 13 8 13 8GAVUNKTRINTIO5402 1 2 1 2 1 2 1 2 1GAVUNKIAI11241AS0022 1 2 1 2 1 2 1 2 1GAVUNKIAI11241AS002879 534 857 521 874 531 926 562 944 573MILUNKMIL‐AH1ST5311D163 115 307 217 307 217 307 217 307 217PAXAALMD824PW0701,134 655 1,075 621 1,102 636 1,162 671 1,183 683PAXAALMD834PW070578 334 548 316 562 324 592 342 603 348PAXAMTB737‐31CM0070 0 0 0 0 0 0 0 0 0PAXASQCRJ25GE0841,311 757 1,243 718 1,274 735 1,343 775 1,367 789PAXASQCRJ75GE084412 238 390 225 400 231 422 244 430 248PAXUNKERJ1456AL02043 25 41 24 42 24 44 25 45 26PAXUNKERJ1454AL0035934 56 32 57 3360 35 62 36PAXCHQERJ140AE3A13145 84 137 79 141 81 149 86 151 87PAXUNKB737‐51CM007126 73 119 69 122 70 129 74 131 76PAXDALB737‐21PW010269 155 255 147 261 151 276 159 281 162PAXDALB737‐21PW011135 78 128 74 131 76 138 80 141 81OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-38Table A-16(concluded)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT HOU**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWPAXDALB737‐83CM033859 496 814 470 835 482 880 508 896 517PAXDALB757‐23RR0283 2 3 2 3 2 3 2 3 2PAXDALMD824PW070293 169 278 160 285 165 300 173 306 177PAXEGFERJ1406AL012355 205 336 194 345 199 364 210 370 214PAXEGFERJ1456AL0201,879 1,085 1,781 1,028 1,8261,054 1,925 1,111 1,960 1,131PAXEGFERJ1454AL0032,530 1,461 2,398 1,384 2,4591,420 2,592 1,496 2,639 1,523PAXLOFERJ1454AL00328 16 27 16 27 16 29 17 29 17PAXSCXB737‐83CM03317 10 16 9 17 10 17 10 18 10PAXSWAB737‐21PW010132 76 125 72 128 74 135 78 138 80PAXSWAB737‐21PW01166 38 63 36 64 37 68 39 69 40PAXSWAB737‐31CM00433,15619,141 31,426 18,142 32,22518,60333,975 19,613 34,582 19,964PAXSWAB737‐51CM00416,438 9,489 15,580 8,994 15,9769,223 16,844 9,724 17,145 9,898PAXSWAB737‐73CM03115,931 9,197 15,100 8,717 15,4838,938 16,325 9,424 16,616 9,592PAXTRSB717‐24BR0022,745 1,585 2,602 1,502 2,6681,540 2,813 1,624 2,863 1,653PAXYXXB717‐24BR002366 211 347 200 356 206 375 216 382 221OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-39Table A-17**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT EFD**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK CNA172 IO320 97 60 120 75 132 82 143 89 146 91GAV UNK A1B IO360 64 40 79 49 87 54 94 59 97 60GAV UNK COMMANDER690 TPE10 64 40 79 49 87 54 94 59 97 60GAV UNK COMMANDER690 TPE10 32 20 40 25 43 27 47 29 48 30GAV UNK HS125-1 1AS002 32 20 40 25 43 27 47 29 48 30GAV UNK BEECH300 P660AG 2,477 1,543 3,066 1,909 3,360 2,093 3,646 2,271 3,736 2,327GAV UNK B717-2 4BR002 32 20 40 25 43 27 47 29 48 30GAV UNK B737-3 1CM007 256 159 317 197 347 216 377 235 386 240GAV UNK B737-5 1CM007 64 40 79 49 87 54 94 59 97 60GAV UNK B737-7 3CM031 64 40 79 49 87 54 94 59 97 60GAV UNK B737-8 3CM034 97 60 120 75 132 82 143 89 146 91GAV UNK B757-2 4PW072 64 40 79 49 87 54 94 59 97 60GAV UNK BEECH200 PT6A41 3,089 1,924 3,823 2,381 4,190 2,609 4,547 2,832 4,659 2,901GAV UNK BEECH300 P660AG 1,030 641 1,275 794 1,397 870 1,516 944 1,553 967GAV UNK BEECH36 TIO540 32 20 40 25 43 27 47 29 48 30GAV UNK BEECH36 TIO540 161 100 199 124 218 136 237 148 243 151GAV UNK BEECH36 TIO540 610 380 755 470 827 515 898 559 920 573GAV UNK BEECH400 1PW037 771 480 954 594 1,046 651 1,135 707 1,163 724GAV UNK BEECH55 TIO540 386 240 478 298 524 326 568 354 582 362GAV UNK BEECH58 TIO540 676 421 837 521 917 571 995 620 1,020 635GAV UNK BEECH60 TIO540 322 201 399 248 437 272 474 295 486 303GAV UNK BEECH60 TIO540 32 20 40 25 43 27 47 29 48 30GAV UNK BEECH90 PT6A21 97 60 120 75 132 82 143 89 146 91GAV UNK BEECH90 PT6A21 610 380 755 470 827 515 898 559 920 573GAV UNK BEECH99 PT6A20 64 40 79 49 87 54 94 59 97 60GAV UNK CNA172 IO320 256 159 317 197 347 216 377 235 386 240GAV UNK CNA182 IO360 740 461 916 570 1,004 625 1,089 678 1,116 695OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-40Table A-17(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT EFD**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK CNA206 IO360 97 60 120 75 132 82 143 89 146 91GAV UNK CNA208 P6114A 837 521 1,036 645 1,135 707 1,232 767 1,262 786GAV UNK CNA210 TIO540 547 341 677 422 742 462 805 501 825 514GAV UNK CNA525 1PW035 161 100 199 124 218 136 237 148 243 151GAV UNK CNA525 1PW035 708 441 876 546 960 598 1,042 649 1,068 665GAV UNK CNA310 TIO540 129 80 160 100 175 109 190 118 195 121GAV UNK CNA340 TIO540 805 501 996 620 1,092 680 1,185 738 1,214 756GAV UNK CNA414 TIO540 97 60 120 75 132 82 143 89 146 91GAV UNK CNA421 TIO540 644 401 797 496 874 544 948 590 971 605GAV UNK CNA425 PT6A60 32 20 40 25 43 27 47 29 48 30GAV UNK CNA441 TPE8 193 120 239 149 262 163 284 177 291 181GAV UNK CNA500 1PW035 225 140 278 173 305 190 331 206 339 211GAV UNK CNA501 1PW035 97 60 120 75 132 82 143 89 146 91GAV UNK CNA501 1PW035 483 301 598 372 655 408 711 443 728 453GAV UNK CNA550 1PW036 610 380 755 470 827 515 898 559 920 573GAV UNK CNA560 1PW037 610 380 755 470 827 515 898 559 920 573GAV UNK CNA560-XL 1PW037 417 260 516 321 566 352 614 382 629 392GAV UNK CNA650 1AS002 644 401 797 496 874 544 948 590 971 605GAV UNK CNA680 7PW080 64 40 79 49 87 54 94 59 97 60GAV UNK CNA750 6AL022 515 321 637 397 699 435 758 472 777 484GAV UNK CRJ2 5GE084 64 40 79 49 87 54 94 59 97 60GAV UNK CL300 6AL006 64 40 79 49 87 54 94 59 97 60GAV UNK CL600 5GE084 322 201 399 248 437 272 474 295 486 303GAV UNK CNA172 IO320 32 20 40 25 43 27 47 29 48 30GAV UNK CNA172 IO320 290 181 359 224 393 245 427 266 437 272GAV UNK FAL10 1AS001 32 20 40 25 43 27 47 29 48 30GAV UNK DC9-1 1PW004 483 301 598 372 655 408 711 443 728 453OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-41Table A-17(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT EFD**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraft TypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK ERJ140 6AL017 290 181 359 224 393 245 427 266 437 272GAV UNK ERJ145 6AL020 417 260 516 321 566 352 614 382 629 392GAV UNK CNA172 IO320 1,479 921 1,8301,140 2,006 1,249 2,177 1,356 2,231 1,389GAV UNK FAL2000EX 7PW080 129 80 160 100 175 109 190 118 195 121GAV UNK FAL900 1AS002 129 80 160 100 175 109 190 118 195 121GAV UNK FAL10 1AS001 740 461 916 570 1,004 625 1,089 678 1,116 695GAV UNK FAL50 1AS002 290 181 359 224 393 245 427 266 437 272GAV UNK GULF150 1AS002 97 60 120 75 132 82 143 89 146 91GAV UNK GULF2 MK511 32 20 40 25 43 27 47 29 48 30GAV UNK GULF4 1RR019 644 401 797 496 874 544 948 590 971 605GAV UNK GULF5 4BR008 161 100 199 124 218 136 237 148 243 151GAV UNK HS125-7 1AS002 1,159 722 1,434 893 1,572 979 1,706 1,062 1,748 1,089GAV UNK JETSTAR-II/731 1AS002 64 40 79 49 87 54 94 59 97 60GAV UNK J31 TPE10 451 281 558 348 612 381 664 414 680 423GAV UNK LEAR35 1AS001 64 40 79 49 87 54 94 59 97 60GAV UNK LEAR24 CJ6106 193 120 239 149 262 163 284 177 291 181GAV UNK LEAR25 CJ6106 129 80 160 100 175 109 190 118 195 121GAV UNK LEAR31 1AS001 161 100 199 124 218 136 237 148 243 151GAV UNK LEAR35 1AS001 386 240 478 298 524 326 568 354 582 362GAV UNK LEAR40 1AS001 193 120 239 149 262 163 284 177 291 181GAV UNK LEAR45 1AS001 64 40 79 49 87 54 94 59 97 60GAV UNK LEAR55 1AS002 161 100 199 124 218 136 237 148 243 151GAV UNK LEAR60 TFE731 129 80 160 100 175 109 190 118 195 121GAV UNK MOONEY-M20K TSIO36 386 240 478 298 524 326 568 354 582 362GAV UNK MOONEY-M20K TSIO36 32 20 40 25 43 27 47 29 48 30GAV UNK MOONEY-M20K TSIO36 129 80 160 100 175 109 190 118 195 121GAV UNK MU2 TPE10N 193 120 239 149 262 163 284 177 291 181OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-42Table A-17(continued)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT EFD**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK P180 PT6A60 161 100 199 124 218 136 237 148 243 151GAV UNK PA28 IO360 64 40 79 49 87 54 94 59 97 60GAV UNK PA32 TIO540 193 120 239 149 262 163 284 177 291 181GAV UNK PA46T PT6A42 290 181 359 224 393 245 427 266 437 272GAV UNK PA24 TIO540 64 40 79 49 87 54 94 59 97 60GAV UNK PA30 IO320 32 20 40 25 43 27 47 29 48 30GAV UNK PA31 TIO540 225 140 278 173 305 190 331 206 339 211GAV UNK PA32 TIO540 322 201 399 248 437 272 474 295 486 303GAV UNK PA34 IO360 805 501 996 620 1,092 680 1,185 738 1,214 756GAV UNK PA46T PT6A42 256 159 317 197 347 216 377 235 386 240GAV UNK PA31T PT6A28 32 20 40 25 43 27 47 29 48 30GAV UNK PA31T PT6A28 386 240 478 298 524 326 568 354 582 362GAV UNK PA31T PT6A28 161 100 199 124 218 136 237 148 243 151GAV UNK PC12 PT67B 290 181 359 224 393 245 427 266 437 272GAV UNK PREMIER 1PW035 97 60 120 75 132 82 143 89 146 91GAV UNK SABR40 CF700D 4,278 2,664 5,295 3,298 5,803 3,614 6,297 3,922 6,452 4,018GAV UNK SR20 IO360 64 40 79 49 87 54 94 59 97 60GAV UNK SR22 TIO540 290 181 359 224 393 245 427 266 437 272GAV UNK SA227AT TPE10N 2,060 1,283 2,550 1,588 2,794 1,740 3,032 1,888 3,107 1,935GAV UNK TBM700 PT6A64 161 100 199 124 218 136 237 148 243 151GAV UNK TBM700 PT6A64 64 40 79 49 87 54 94 59 97 60GAV UNK IAI1124 1AS002 129 80 160 100 175 109 190 118 195 121GAV UNK A320-1 1IA003 32 20 40 25 43 27 47 29 48 30GAV UNK B767-2 1GE011 32 20 40 25 43 27 47 29 48 30GAV UNK B777-2 2RR027 64 40 79 49 87 54 94 59 97 60GAV UNK PA42 TPE10N 64 40 79 49 87 54 94 59 97 60GAV UNK PA32 TIO540 32 20 40 25 43 27 47 29 48 30OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - MilitaryHAS608A-43Table A-17(concluded)**ANNUAL LTO BY AIRCRAFT-ENGINE COMBINATION AT EFD**HAS Emissions Inventory StudyAircraftCategoryAirlineAircraftTypeEngineType2005Annual2005OSW2011Annual2011OSW2014Annual2014OSW2017Annual2017OSW2018Annual2018OSWGAV UNK PA28 IO360 32 20 40 25 43 27 47 29 48 30GAV UNK CNA172 IO320 32 20 40 25 43 27 47 29 48 30GAV UNK CNA172 IO320 32 20 40 25 43 27 47 29 48 30GAV UNK FAL50 1AS002 161 100 199 124 218 136 237 148 243 151GAV UNK DC3 R1820 32 20 40 25 43 27 47 29 48 30GAV UNK BEECH99 PT6A20 64 40 79 49 87 54 94 59 97 60MIL UNK MIL-F16 F10010 2,055 1,314 2,181 1,395 2,248 1,437 2,316 1,481 2,339 1,496MIL UNK MIL-T38 J855HA 21,367 13,662 22,682 14,503 23,369 14,942 24,077 15,395 24,318 15,549MIL UNK BELL206 250B17 2,465 1,576 2,6171,673 2,696 1,724 2,778 1,776 2,805 1,794MIL UNK MIL-AH1S T5311D 1,233 788 1,309 837 1,349 863 1,389 888 1,403 897CRG NAO B767-3 1PW043 246 152 246 152 246 152 246 152 246 152CRG AJT B727-2 1PW013 615 380 615 380 615 380 615 380 615 380OSW – Ozone Season Weekday; CRG – Cargo; PAX –Passenger; GAV – General Aviation; MIL - Military

### HAS608 

# A-44 **A.3 TAXI TIMES**

**A.3.1 Baseline Taxi times**

Taxi times by runway for IAH and HOU were ob tained from the FAA Aviation System

Performance Metrics (ASPM) database for th e baseline year. Taxi times by runway are

provided in section 3 of the main report. Runway utilization by aircraft type was

derived from the 2008 noise monitoring data . The runway utilization proportions were

applied to the associated taxi times by ru nway to obtain the average taxi time by

aircraft.

Table A-18 and A-19 shows the runway util ization proportion and average baseline taxi

in and taxi out time respectively by aircraft type at IAH. Table A-18 and A-19 show the

runway utilization proportion and average baseline taxi in and taxi out time

respectively by aircraft type at HOU.

At EFD, unimpeded taxi times were computed by each arrival and departure runway

based on the taxiing distance from/to the respective runway end and an average

taxiing speed of 15 miles per hour (mph). It was assumed that the delay at EFD was

insignificant and the unimpe ded taxi time represented the total taxi time. Table A-22

and A-23 shows the runway utilization propor tion and average baseline taxi in and taxi

out time respectively by aircraft type at EFD.

### HAS608 

# A-45 Table A-18

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT IAH** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi in

Time

(mins)

A124 0.0% 0.0% 50.0% 0.0% 0.0% 25.0% 0.0% 0.0% 0.0% 25.0% 8.19

A306 6.4% 11.9% 10.1% 13.8% 0.9% 38.5% 4.6% 0.0% 1.8% 11.9% 8.41

A310 2.7% 2.7% 31.1% 21.6% 0.0% 9.5% 5.4% 0.0% 0.0% 27.0% 8.23

A318 6.5% 13.7% 11.3% 3.2% 0.8% 53.2% 8.9% 0.0% 0.0% 2.4% 8.46

A319 3.6% 8.6% 25.0% 16.6% 1.4% 29.6% 3.9% 0.2% 0.5% 10.7% 8.40

A320 2.7% 13.9% 23.0% 8.0% 2.7% 24.1% 11.2% 0.5% 0.0% 13.9% 8.41

A321 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

A332 0.0% 0.0% 92.3% 7.7% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

AC6T 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

AC90 0.0% 0.0% 27.3% 18.2% 0.0% 18.2% 18.2% 0.0% 0.0% 18.2% 8.22

AN12 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

ASTR 14.3% 42.9% 14.3% 0.0% 0.0% 14.3% 14.3% 0.0% 0.0% 0.0% 8.80

AT43 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B145 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B190 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B350 4.5% 0.0% 22.7% 13.6% 0.0% 31.8% 4.5% 0.0% 9.1% 13.6% 8.30

B373 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B712 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B722 0.0% 6.7% 20.0% 2.7% 2.7% 22.7% 1.3% 0.0% 1.3% 42.7% 8.12

B727 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B72Q 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 9.17

B732 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B733 4.8% 8.9% 19.8% 5.6% 1.6% 23.6% 4.4% 0.1% 0.2% 31.0% 8.25

B734 7.4% 7.4% 33.7% 10.5% 2.1% 16.8% 0.0% 0.0% 0.0% 22.1% 8.36

B735 4.2% 7.0% 22.1% 6.6% 1.9% 24.9% 3.9% 0.1% 0.4% 28.9% 8.25

B737 3.3% 8.1% 23.6% 9.5% 2.4% 18.8% 3.5% 0.2% 0.5% 30.1% 8.26

B738 3.3% 10.5% 24.2% 5.9% 1.6% 17.9% 4.3% 0.1% 0.4% 31.6% 8.26

B739 2.5% 10.2% 26.6% 6.9% 2.0% 14.7% 4.9% 0.1% 0.2% 32.1% 8.26

B73Q 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B741 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 8.25

B742 4.7% 11.6% 20.9% 0.0% 2.3% 23.3% 2.3% 4.7% 0.0% 30.2% 8.29

B744 1.4% 3.5% 39.4% 8.5% 5.6% 25.4% 2.8% 0.0% 1.4% 12.0% 8.40

B747 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B752 2.8% 14.3% 19.6% 6.5% 0.8% 23.4% 2.7% 0.1% 0.1% 29.7% 8.28

B753 2.0% 12.8% 24.9% 5.3% 0.6% 12.1% 3.2% 0.1% 0.7% 38.4% 8.21

B757 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B762 4.9% 5.5% 17.5% 3.0% 0.8% 26.0% 0.3% 0.0% 0.3% 41.8% 8.13

B763 3.4% 0.0% 10.3% 17.2% 0.0% 34.5% 24.1% 0.0% 0.0% 10.3% 8.27

B764 5.8% 5.4% 21.0% 3.7% 1.2% 12.1% 1.2% 0.0% 0.0% 49.6% 8.10

B772 5.1% 6.8% 38.4% 6.6% 2.8% 17.9% 2.0% 0.0% 0.0% 20.5% 8.36

B773 0.0% 0.0% 77.8% 11.1% 0.0% 0.0% 0.0% 0.0% 0.0% 11.1% 8.36

B777 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

B77H 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B77L 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

B77W 0.0% 0.0% 75.0% 0.0% 25.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.75

BE10 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

BE20 0.0% 2.3% 34.9% 14.0% 0.0% 18.6% 7.0% 0.0% 0.0% 23.3% 8.22

BE30 0.0% 20.0% 20.0% 0.0% 0.0% 40.0% 0.0% 0.0% 0.0% 20.0% 8.35

BE35 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

BE36 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

BE40 3.8% 0.0% 17.0% 11.3% 5.7% 35.8% 13.2% 0.0% 0.0% 13.2% 8.34

BE55 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

BE58 50.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.81

BE75 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

### HAS608 

# A-46 Table A-18 (continued)

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT IAH** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi in

Time

(mins)

BE9L 0.0% 9.1% 27.3% 0.0% 0.0% 36.4% 18.2% 0.0% 0.0% 9.1% 8.33

BE9T 0.0% 0.0% 33.3% 0.0% 0.0% 0.0% 33.3% 0.0% 0.0% 33.3% 8.10

C172 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C182 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C206 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C208 6.9% 0.0% 0.0% 13.8% 3.4% 6.9% 58.6% 0.0% 6.9% 3.4% 8.38

C25A 16.7% 0.0% 0.0% 16.7% 16.7% 33.3% 16.7% 0.0% 0.0% 0.0% 8.67

C25B 0.0% 0.0% 16.7% 33.3% 0.0% 0.0% 33.3% 0.0% 0.0% 16.7% 8.24

C402 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C412 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C414 0.0% 0.0% 66.7% 0.0% 0.0% 0.0% 33.3% 0.0% 0.0% 0.0% 8.38

C421 50.0% 0.0% 0.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 8.71

C425 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 8.25

C441 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C500 0.0% 0.0% 0.0% 16.7% 0.0% 83.3% 0.0% 0.0% 0.0% 0.0% 8.28

C501 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 8.25

C510 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

C525 0.0% 0.0% 26.5% 11.8% 0.0% 26.5% 5.9% 0.0% 0.0% 29.4% 8.14

C550 4.0% 8.0% 28.0% 24.0% 0.0% 24.0% 4.0% 0.0% 0.0% 8.0% 8.41

C560 7.5% 5.0% 10.0% 12.5% 1.7% 40.8% 10.8% 0.0% 0.0% 11.7% 8.36

C56X 5.6% 1.9% 9.3% 16.7% 3.7% 40.7% 13.0% 0.0% 0.0% 9.3% 8.36

C650 0.0% 0.0% 6.7% 13.3% 0.0% 60.0% 0.0% 0.0% 6.7% 13.3% 8.22

C680 4.2% 0.0% 14.6% 27.1% 0.0% 41.7% 10.4% 0.0% 0.0% 2.1% 8.36

C690 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

C750 7.0% 8.1% 12.8% 23.3% 0.0% 31.4% 5.8% 0.0% 0.0% 11.6% 8.39

CARJ 5.2% 13.7% 10.2% 2.9% 1.3% 39.0% 2.3% 0.4% 0.7% 24.3% 8.31

CL30 4.2% 5.6% 13.9% 16.7% 1.4% 38.9% 8.3% 0.0% 0.0% 11.1% 8.35

CL60 0.0% 0.0% 6.3% 18.8% 0.0% 37.5% 18.8% 0.0% 0.0% 18.8% 8.18

CL65 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 9.17

CL6O 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

CRJ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

CRJ1 12.2% 3.6% 15.1% 5.8% 0.7% 56.1% 2.9% 0.0% 0.0% 3.6% 8.42

CRJ2 3.4% 7.0% 23.6% 6.4% 1.7% 31.3% 4.6% 0.1% 0.3% 21.5% 8.29

CRJ7 6.0% 4.4% 20.0% 8.3% 2.7% 46.5% 5.4% 0.2% 0.0% 6.5% 8.40

CRJ9 5.7% 6.7% 21.8% 5.6% 1.5% 42.3% 6.3% 0.0% 0.0% 10.1% 8.38

CVLT 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

DC10 6.8% 2.0% 32.4% 14.9% 0.7% 28.4% 1.4% 0.0% 0.7% 12.8% 8.35

DC86 0.0% 0.0% 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 8.35

DC87 7.0% 7.0% 5.3% 0.0% 0.0% 42.1% 22.8% 1.8% 1.8% 12.3% 8.32

DC9 3.3% 5.0% 50.0% 15.0% 1.7% 18.3% 1.7% 0.0% 0.0% 5.0% 8.45

DC93 13.2% 10.5% 0.0% 0.0% 0.0% 55.3% 5.3% 0.0% 0.0% 15.8% 8.37

E135 4.3% 6.9% 21.8% 4.1% 1.6% 27.8% 5.7% 0.1% 0.2% 27.5% 8.25

E145 4.3% 6.9% 19.3% 3.7% 2.0% 28.6% 5.5% 0.0% 0.4% 29.2% 8.24

E170 8.5% 4.9% 17.3% 5.3% 1.5% 47.0% 5.8% 0.0% 0.0% 9.7% 8.38

E190 1.5% 0.0% 73.5% 11.8% 1.5% 7.4% 0.0% 0.0% 0.0% 4.4% 8.43

E35X 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

E45X 4.6% 5.7% 27.4% 5.1% 2.3% 29.8% 6.5% 0.1% 0.6% 18.0% 8.33

EA50 0.0% 0.0% 0.0% 25.0% 0.0% 0.0% 0.0% 0.0% 0.0% 75.0% 7.82

EBM1 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

EMB1 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 8.25

F27 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

F2TH 1.4% 7.0% 15.5% 16.9% 0.0% 42.3% 5.6% 1.4% 1.4% 8.5% 8.34

F50 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

F900 18.2% 0.0% 0.0% 27.3% 0.0% 45.5% 9.1% 0.0% 0.0% 0.0% 8.47

FA10 0.0% 0.0% 0.0% 20.0% 0.0% 20.0% 0.0% 0.0% 0.0% 60.0% 7.91

### HAS608 

# A-47 Table A-18 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT IAH** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi in

Time

(mins)

FA20 0.0% 15.4% 23.1% 7.7% 7.7% 30.8% 0.0% 0.0% 0.0% 15.4% 8.46

FA50 2.7% 8.1% 13.5% 16.2% 0.0% 37.8% 18.9% 0.0% 0.0% 2.7% 8.39

G150 0.0% 0.0% 20.0% 20.0% 0.0% 40.0% 0.0% 0.0% 0.0% 20.0% 8.20

GALX 0.0% 0.0% 27.3% 9.1% 0.0% 36.4% 0.0% 0.0% 0.0% 27.3% 8.15

GLEX 9.4% 0.0% 12.5% 21.9% 0.0% 43.8% 12.5% 0.0% 0.0% 0.0% 8.41

GLF2 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 9.17

GLF3 20.0% 0.0% 20.0% 0.0% 0.0% 0.0% 20.0% 0.0% 0.0% 40.0% 8.22

GLF4 3.3% 12.2% 16.3% 18.7% 1.6% 30.1% 4.9% 0.0% 1.6% 11.4% 8.42

GLF5 5.5% 5.5% 16.4% 21.8% 7.3% 34.5% 0.0% 0.0% 1.8% 7.3% 8.49

GLOB 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.81

H25A 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

H25B 8.3% 10.8% 17.5% 5.8% 0.8% 41.7% 6.7% 0.0% 0.0% 8.3% 8.43

H25C 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 8.03

LJ25 0.0% 0.0% 40.0% 20.0% 0.0% 0.0% 40.0% 0.0% 0.0% 0.0% 8.37

LJ31 0.0% 0.0% 16.7% 16.7% 0.0% 33.3% 16.7% 0.0% 0.0% 16.7% 8.21

LJ35 5.3% 5.3% 19.3% 12.3% 0.0% 28.1% 12.3% 0.0% 8.8% 8.8% 8.37

LJ40 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

LJ45 8.2% 10.2% 8.2% 18.4% 0.0% 24.5% 8.2% 0.0% 0.0% 22.4% 8.33

LJ55 0.0% 0.0% 37.5% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 62.5% 7.93

LJ60 1.6% 9.8% 21.3% 14.8% 0.0% 29.5% 8.2% 0.0% 0.0% 14.8% 8.33

M20P 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

MD11 5.1% 6.8% 16.9% 13.6% 0.0% 5.1% 0.0% 0.0% 0.0% 52.5% 8.08

MD80 0.0% 9.1% 36.4% 0.0% 0.0% 45.5% 0.0% 0.0% 0.0% 9.1% 8.35

MD82 7.4% 6.9% 17.5% 8.3% 2.0% 42.7% 8.0% 0.0% 0.2% 7.1% 8.42

MD83 0.0% 7.0% 11.6% 14.0% 0.0% 53.5% 11.6% 0.0% 0.0% 2.3% 8.35

MD87 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

MD88 6.5% 4.2% 36.0% 2.1% 0.6% 40.2% 1.8% 0.0% 0.3% 8.3% 8.38

MU2 33.3% 0.0% 33.3% 0.0% 33.3% 0.0% 0.0% 0.0% 0.0% 0.0% 9.09

MU30 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

P180 0.0% 0.0% 28.6% 28.6% 0.0% 28.6% 0.0% 0.0% 0.0% 14.3% 8.27

P46T 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 8.25

PA44 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

PA46 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

PAY2 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

PAY3 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

PC12 10.0% 0.0% 0.0% 10.0% 10.0% 40.0% 0.0% 0.0% 0.0% 30.0% 8.31

PH25 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 8.45

PRM1 0.0% 0.0% 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 8.35

SBR1 0.0% 0.0% 0.0% 25.0% 0.0% 25.0% 25.0% 0.0% 0.0% 25.0% 8.14

SF34 7.1% 3.6% 11.2% 7.8% 1.6% 46.9% 12.8% 0.2% 0.5% 8.4% 8.36

SH36 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

SW34 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 8.25

UNKN 7.5% 11.8% 12.3% 3.0% 1.6% 28.4% 5.8% 0.5% 1.0% 27.9% 8.31

WW24 0.0% 8.3% 33.3% 8.3% 0.0% 8.3% 0.0% 0.0% 0.0% 41.7% 8.14

XXXX 12.8% 1.8% 0.4% 0.0% 0.0% 63.9% 4.4% 0.0% 0.0% 16.7% 8.28

ZZZZ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 7.61

E140 4.3% 6.9% 19.3% 3.7% 2.0% 28.6% 5.5% 0.0% 0.4% 29.2% 8.24

A343 1.4% 3.5% 39.4% 8.5% 5.6% 25.4% 2.8% 0.0% 1.4% 12.0% 8.40

E120 4.3% 6.9% 19.3% 3.7% 2.0% 28.6% 5.5% 0.0% 0.4% 29.2% 8.24

MD90 0.0% 9.1% 36.4% 0.0% 0.0% 45.5% 0.0% 0.0% 0.0% 9.1% 8.35

A333 1.4% 3.5% 39.4% 8.5% 5.6% 25.4% 2.8% 0.0% 1.4% 12.0% 8.40

DC95 3.3% 5.0% 50.0% 15.0% 1.7% 18.3% 1.7% 0.0% 0.0% 5.0% 8.45

C130 7.5% 11.8% 12.3% 3.0% 1.6% 28.4% 5.8% 0.5% 1.0% 27.9% 8.31

Source: Noise Monitoring Data from May 2008-August 2008.

### HAS608 

# A-48 Table A-19

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi Out

Time

(mins)

A124 0.0% 0.0% 50.0% 16.7% 0.0% 0.0% 16.7% 0.0% 0.0% 16.7% 20.61

A306 3.9% 7.8% 27.3% 13.0% 1.3% 15.6% 15.6% 0.0% 3.9% 11.7% 20.37

A310 0.0% 3.0% 54.5% 10.6% 0.0% 12.1% 0.0% 0.0% 1.5% 18.2% 20.64

A318 1.8% 5.5% 38.2% 14.5% 8.2% 20.9% 5.5% 0.0% 3.6% 1.8% 20.40

A319 1.8% 2.5% 35.6% 23.2% 2.8% 21.5% 2.8% 0.7% 2.2% 6.8% 20.51

A320 0.4% 1.3% 46.6% 25.8% 2.5% 8.5% 2.1% 0.8% 1.7% 10.2% 20.68

A321 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

A332 0.0% 0.0% 92.6% 3.7% 3.7% 0.0% 0.0% 0.0% 0.0% 0.0% 20.78

AC6T 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

AC90 0.0% 0.0% 44.4% 11.1% 0.0% 22.2% 0.0% 0.0% 0.0% 22.2% 20.53

AN12 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

ASTR 0.0% 0.0% 36.4% 36.4% 0.0% 27.3% 0.0% 0.0% 0.0% 0.0% 20.55

AT43 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

B145 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B190 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B350 0.0% 0.0% 20.0% 40.0% 0.0% 0.0% 20.0% 0.0% 10.0% 10.0% 20.78

B373 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B712 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 19.53

B722 2.1% 6.3% 41.7% 8.3% 2.1% 14.6% 0.0% 2.1% 0.0% 22.9% 20.51

B727 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

B72Q 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B732 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B733 1.3% 3.0% 43.2% 15.1% 4.5% 12.0% 1.7% 0.8% 1.4% 17.0% 20.55

B734 0.0% 0.9% 67.0% 4.3% 4.3% 6.1% 0.9% 0.9% 1.7% 13.9% 20.69

B735 1.5% 1.8% 40.9% 16.9% 4.1% 14.2% 1.8% 0.8% 1.6% 16.6% 20.55

B737 1.1% 3.3% 40.3% 17.6% 3.5% 12.0% 1.7% 0.8% 0.9% 18.8% 20.55

B738 0.9% 3.3% 46.6% 12.8% 3.1% 10.8% 2.3% 0.6% 1.4% 18.1% 20.57

B739 0.6% 3.1% 50.5% 13.3% 2.6% 10.3% 2.2% 0.3% 1.2% 15.9% 20.59

B73Q 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B741 0.0% 33.3% 33.3% 0.0% 0.0% 0.0% 0.0% 0.0% 33.3% 0.0% 21.03

B742 2.4% 7.1% 35.7% 7.1% 2.4% 16.7% 9.5% 2.4% 4.8% 11.9% 20.49

B744 0.5% 0.5% 51.4% 18.4% 9.0% 6.1% 8.0% 1.4% 2.4% 2.4% 20.60

B747 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

B752 0.4% 6.1% 41.0% 16.6% 3.0% 12.0% 4.0% 0.8% 1.4% 14.8% 20.53

B753 0.6% 4.3% 44.2% 16.1% 1.6% 6.8% 2.5% 0.7% 1.5% 21.7% 20.62

B757 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

B762 1.7% 3.1% 35.0% 8.2% 5.1% 13.9% 1.0% 0.0% 3.1% 28.9% 20.50

B763 0.0% 10.3% 3.4% 20.7% 0.0% 24.1% 31.0% 0.0% 0.0% 10.3% 20.08

B764 0.8% 2.1% 41.6% 12.1% 1.9% 6.9% 1.0% 0.0% 2.3% 31.2% 20.63

B772 1.9% 1.3% 58.4% 10.4% 8.9% 6.1% 0.6% 0.4% 2.1% 9.9% 20.60

B773 0.0% 0.0% 81.8% 9.1% 0.0% 0.0% 0.0% 4.5% 0.0% 4.5% 20.91

B777 0.0% 0.0% 75.0% 7.1% 7.1% 0.0% 0.0% 0.0% 7.1% 3.6% 20.85

B77H 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

B77L 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

B77W 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

BE10 0.0% 0.0% 66.7% 0.0% 33.3% 0.0% 0.0% 0.0% 0.0% 0.0% 20.32

BE20 0.0% 2.4% 52.4% 11.9% 0.0% 7.1% 2.4% 0.0% 0.0% 23.8% 20.63

BE30 0.0% 0.0% 66.7% 33.3% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

BE35 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

BE36 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

BE40 0.0% 6.0% 16.0% 52.0% 4.0% 12.0% 2.0% 0.0% 0.0% 8.0% 20.52

BE55 0.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 20.68

BE58 0.0% 0.0% 66.7% 0.0% 0.0% 0.0% 0.0% 0.0% 33.3% 0.0% 21.47

BE75 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

BE9L 0.0% 0.0% 41.7% 41.7% 8.3% 8.3% 0.0% 0.0% 0.0% 0.0% 20.62

### HAS608 

# A-49 Table A-19 (continued)

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi Out

Time

(mins)

BE9T 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C172 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C182 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 20.68

C206 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

C208 6.8% 0.0% 0.0% 4.5% 2.3% 6.8% 72.7% 0.0% 2.3% 4.5% 19.89

C25A 0.0% 0.0% 50.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.06

C25B 0.0% 0.0% 28.6% 42.9% 0.0% 14.3% 0.0% 0.0% 0.0% 14.3% 20.64

C402 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C412 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C414 0.0% 0.0% 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 20.31

C421 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

C425 0.0% 0.0% 0.0% 0.0% 50.0% 50.0% 0.0% 0.0% 0.0% 0.0% 19.52

C441 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

C500 0.0% 0.0% 33.3% 0.0% 66.7% 0.0% 0.0% 0.0% 0.0% 0.0% 19.79

C501 0.0% 0.0% 25.0% 25.0% 0.0% 0.0% 25.0% 0.0% 0.0% 25.0% 20.49

C510 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C525 0.0% 0.0% 50.0% 23.1% 0.0% 7.7% 7.7% 0.0% 3.8% 7.7% 20.72

C550 3.1% 0.0% 40.6% 18.8% 0.0% 28.1% 0.0% 0.0% 0.0% 9.4% 20.47

C560 1.9% 0.9% 36.1% 25.0% 2.8% 21.3% 2.8% 0.0% 2.8% 6.5% 20.53

C56X 0.0% 0.0% 40.4% 25.0% 9.6% 15.4% 0.0% 0.0% 5.8% 3.8% 20.62

C650 0.0% 0.0% 46.2% 23.1% 0.0% 30.8% 0.0% 0.0% 0.0% 0.0% 20.51

C680 0.0% 2.3% 16.3% 55.8% 0.0% 14.0% 0.0% 0.0% 0.0% 11.6% 20.62

C690 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

C750 0.0% 2.6% 35.1% 31.2% 0.0% 15.6% 3.9% 1.3% 3.9% 6.5% 20.67

CARJ 2.8% 6.7% 33.2% 6.2% 1.2% 28.6% 2.4% 0.1% 0.9% 17.9% 20.33

CL30 0.0% 1.4% 43.1% 26.4% 0.0% 18.1% 5.6% 1.4% 1.4% 2.8% 20.61

CL60 0.0% 0.0% 26.7% 46.7% 0.0% 13.3% 0.0% 0.0% 0.0% 13.3% 20.65

CL65 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

CL6O 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

CRJ 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

CRJ1 0.8% 1.6% 34.1% 25.6% 10.1% 22.5% 0.8% 0.8% 2.3% 1.6% 20.46

CRJ2 0.7% 1.4% 48.1% 13.3% 3.4% 17.8% 2.0% 0.8% 1.1% 11.5% 20.55

CRJ7 1.8% 1.3% 34.6% 16.6% 7.0% 28.2% 3.9% 0.0% 2.0% 4.6% 20.37

CRJ9 0.8% 1.6% 47.0% 14.2% 4.7% 20.5% 2.3% 0.3% 2.2% 6.5% 20.52

CVLT 0.0% 0.0% 0.0% 50.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 20.31

DC10 3.3% 0.0% 64.1% 7.6% 0.0% 20.7% 0.0% 1.1% 0.0% 3.3% 20.59

DC86 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

DC87 0.0% 4.0% 4.0% 2.0% 4.0% 54.0% 20.0% 0.0% 8.0% 4.0% 20.07

DC9 2.7% 0.0% 63.7% 18.6% 0.9% 6.2% 2.7% 1.8% 0.9% 2.7% 20.74

DC93 0.0% 0.0% 31.3% 50.0% 3.1% 6.3% 0.0% 0.0% 9.4% 0.0% 20.90

E135 1.3% 1.7% 43.5% 12.6% 4.2% 15.4% 3.1% 0.5% 1.5% 16.2% 20.52

E145 1.3% 2.1% 41.5% 9.3% 4.3% 18.0% 3.2% 0.5% 1.5% 18.2% 20.48

E170 2.3% 1.2% 44.1% 16.3% 5.1% 23.6% 0.3% 0.3% 2.3% 4.5% 20.49

E190 0.0% 0.0% 79.6% 13.3% 0.0% 3.5% 0.0% 2.7% 0.0% 0.9% 20.85

E35X 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

E45X 1.0% 1.3% 54.2% 10.4% 4.5% 14.3% 2.7% 0.8% 1.6% 9.1% 20.57

EA50 0.0% 0.0% 25.0% 0.0% 0.0% 50.0% 0.0% 25.0% 0.0% 0.0% 20.78

EBM1 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

EMB1 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

F27 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

F2TH 1.3% 5.3% 40.8% 17.1% 2.6% 17.1% 5.3% 0.0% 3.9% 6.6% 20.53

F50 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

F900 0.0% 0.0% 42.9% 50.0% 0.0% 7.1% 0.0% 0.0% 0.0% 0.0% 20.76

FA10 0.0% 0.0% 66.7% 22.2% 0.0% 0.0% 11.1% 0.0% 0.0% 0.0% 20.72

FA20 0.0% 6.7% 33.3% 33.3% 0.0% 6.7% 6.7% 6.7% 6.7% 0.0% 20.86

### HAS608 

# A-50 Table A-19 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT IAH**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy

8L Rwy

8R Rwy

15L Rwy

15R Rwy 9 Rwy

26L Rwy

26R Rwy

33L Rwy

33R Rwy

27 Average

Taxi Out

Time

(mins)

FA50 0.0% 0.0% 37.2% 30.2% 0.0% 18.6% 9.3% 0.0% 0.0% 4.7% 20.53

G150 0.0% 0.0% 20.0% 60.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.0% 20.77

GALX 0.0% 0.0% 30.8% 38.5% 0.0% 30.8% 0.0% 0.0% 0.0% 0.0% 20.51

GLEX 0.0% 0.0% 31.3% 12.5% 12.5% 37.5% 6.3% 0.0% 0.0% 0.0% 20.18

GLF2 0.0% 0.0% 66.7% 33.3% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

GLF3 0.0% 0.0% 55.6% 11.1% 0.0% 22.2% 0.0% 0.0% 0.0% 11.1% 20.57

GLF4 0.7% 1.5% 34.6% 44.1% 1.5% 10.3% 1.5% 1.5% 0.0% 4.4% 20.68

GLF5 1.9% 1.9% 51.9% 24.1% 0.0% 9.3% 1.9% 0.0% 0.0% 9.3% 20.64

GLOB 0.0% 0.0% 50.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

H25A 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

H25B 3.7% 1.9% 32.7% 28.0% 3.7% 18.7% 3.7% 0.0% 1.9% 5.6% 20.48

H25C 0.0% 0.0% 50.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

LJ25 0.0% 0.0% 50.0% 25.0% 0.0% 25.0% 0.0% 0.0% 0.0% 0.0% 20.57

LJ31 0.0% 0.0% 42.9% 14.3% 0.0% 14.3% 0.0% 0.0% 0.0% 28.6% 20.59

LJ35 0.0% 2.2% 30.4% 26.1% 0.0% 19.6% 0.0% 2.2% 8.7% 10.9% 20.77

LJ40 20.0% 0.0% 20.0% 40.0% 0.0% 20.0% 0.0% 0.0% 0.0% 0.0% 20.36

LJ45 2.9% 0.0% 31.4% 45.7% 0.0% 14.3% 0.0% 0.0% 0.0% 5.7% 20.63

LJ55 0.0% 0.0% 44.4% 22.2% 0.0% 22.2% 11.1% 0.0% 0.0% 0.0% 20.48

LJ60 2.0% 0.0% 44.0% 24.0% 0.0% 22.0% 2.0% 2.0% 0.0% 4.0% 20.58

M20P 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

MD11 0.0% 1.9% 43.4% 26.4% 0.0% 3.8% 0.0% 0.0% 0.0% 24.5% 20.69

MD80 0.0% 0.0% 60.0% 10.0% 0.0% 10.0% 10.0% 0.0% 0.0% 10.0% 20.59

MD82 1.6% 2.8% 28.7% 26.0% 6.2% 25.6% 3.1% 0.2% 2.1% 3.7% 20.41

MD83 2.4% 2.4% 31.0% 19.0% 4.8% 26.2% 4.8% 0.0% 7.1% 2.4% 20.50

MD87 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

MD88 0.3% 0.9% 66.0% 2.8% 0.9% 23.3% 0.3% 0.9% 0.6% 4.0% 20.57

MU2 0.0% 0.0% 75.0% 25.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

MU30 0.0% 0.0% 66.7% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 33.3% 20.73

P180 0.0% 0.0% 57.1% 14.3% 0.0% 14.3% 0.0% 0.0% 0.0% 14.3% 20.64

P46T 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

PA44 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

PA46 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

PAY2 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

PAY3 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 19.77

PC12 0.0% 0.0% 44.4% 33.3% 0.0% 22.2% 0.0% 0.0% 0.0% 0.0% 20.60

PH25 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

PRM1 0.0% 0.0% 33.3% 33.3% 0.0% 33.3% 0.0% 0.0% 0.0% 0.0% 20.48

SBR1 0.0% 0.0% 50.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.84

SF34 1.6% 1.1% 28.6% 24.4% 4.8% 27.1% 4.6% 0.8% 2.4% 4.5% 20.43

SH36 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 19.77

SW34 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 20.51

UNKN 2.9% 7.2% 31.0% 9.0% 1.6% 21.3% 3.4% 0.7% 1.9% 21.1% 20.40

WW24 0.0% 10.5% 42.1% 10.5% 0.0% 10.5% 5.3% 0.0% 5.3% 15.8% 20.58

XXXX 3.8% 1.9% 0.0% 0.0% 0.0% 67.3% 2.9% 0.0% 0.0% 24.0% 19.93

ZZZZ 0.0% 0.0% 50.0% 0.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 20.06

E140 1.3% 2.1% 41.5% 9.3% 4.3% 18.0% 3.2% 0.5% 1.5% 18.2% 20.48

A343 0.5% 0.5% 51.4% 18.4% 9.0% 6.1% 8.0% 1.4% 2.4% 2.4% 20.60

E120 1.3% 2.1% 41.5% 9.3% 4.3% 18.0% 3.2% 0.5% 1.5% 18.2% 20.48

MD90 0.0% 0.0% 60.0% 10.0% 0.0% 10.0% 10.0% 0.0% 0.0% 10.0% 20.59

A333 0.5% 0.5% 51.4% 18.4% 9.0% 6.1% 8.0% 1.4% 2.4% 2.4% 20.60

DC95 2.7% 0.0% 63.7% 18.6% 0.9% 6.2% 2.7% 1.8% 0.9% 2.7% 20.74

C130 7.5% 11.8% 12.3% 3.0% 1.6% 28.4% 5.8% 0.5% 1.0% 27.9% 20.13

Source: Noise Monitoring Data from May 2008-August 2008

### HAS608 

# A-51 Table A-20

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT HOU** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi In

Time

(mins)

AA5B 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

A319 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 50.0% 0.0% 4.20

B712 11.2% 0.0% 5.2% 0.0% 0.0% 77.5% 6.2% 0.0% 4.48

B732 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

B733 11.8% 0.0% 2.6% 0.0% 0.0% 79.7% 5.9% 0.0% 4.47

B735 12.4% 0.2% 2.4% 0.1% 0.0% 78.3% 6.6% 0.0% 4.46

B737 12.4% 0.0% 2.4% 0.0% 0.0% 78.7% 6.3% 0.0% 4.46

B738 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

B739 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

B742 50.0% 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 4.03

B752 20.0% 0.0% 0.0% 0.0% 0.0% 80.0% 0.0% 0.0% 4.44

B753 50.0% 0.0% 0.0% 0.0% 0.0% 50.0% 0.0% 0.0% 4.09

B461 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

BE10 12.5% 0.0% 8.3% 0.0% 20.8% 54.2% 4.2% 0.0% 4.48

B190 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

BE20 9.8% 11.1% 3.2% 0.6% 24.4% 43.2% 6.7% 1.0% 4.46

B350 9.0% 6.6% 3.3% 0.0% 29.9% 43.0% 7.8% 0.4% 4.48

BE36 26.1% 0.0% 8.7% 0.0% 43.5% 17.4% 4.3% 0.0% 4.32

BE40 11.1% 2.9% 3.3% 0.0% 3.7% 73.3% 5.3% 0.4% 4.48

BE55 7.9% 1.1% 2.2% 1.1% 20.2% 64.0% 1.1% 2.2% 4.54

BE58 8.3% 15.0% 1.7% 1.7% 31.7% 38.3% 1.7% 1.7% 4.52

BE60 0.0% 0.0% 12.5% 0.0% 25.0% 62.5% 0.0% 0.0% 4.66

BE90 0.0% 0.0% 0.0% 0.0% 0.0% 83.3% 0.0% 16.7% 4.51

BE9T 14.8% 11.1% 0.0% 7.4% 25.9% 37.0% 3.7% 0.0% 4.42

B222 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.51

CL30 6.4% 12.8% 1.8% 0.0% 3.7% 67.9% 7.3% 0.0% 4.51

CL60 10.2% 2.9% 4.9% 0.5% 0.5% 75.6% 5.4% 0.0% 4.49

C172 0.0% 0.0% 0.0% 0.0% 25.0% 75.0% 0.0% 0.0% 4.67

C182 28.6% 0.0% 0.0% 0.0% 28.6% 42.9% 0.0% 0.0% 4.34

C206 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 0.0% 4.67

C208 0.0% 0.0% 0.0% 0.0% 33.3% 66.7% 0.0% 0.0% 4.67

C210 0.0% 14.3% 14.3% 0.0% 28.6% 42.9% 0.0% 0.0% 4.64

C310 0.0% 33.3% 0.0% 0.0% 0.0% 66.7% 0.0% 0.0% 4.63

C340 20.0% 0.0% 40.0% 0.0% 40.0% 0.0% 0.0% 0.0% 4.39

C414 0.0% 0.0% 3.8% 3.8% 42.3% 38.5% 7.7% 3.8% 4.54

C421 9.5% 4.8% 0.0% 0.0% 33.3% 42.9% 9.5% 0.0% 4.46

C425 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

C441 3.4% 13.8% 0.0% 0.0% 20.7% 55.2% 6.9% 0.0% 4.55

C500 14.3% 0.0% 0.0% 0.0% 9.5% 71.4% 4.8% 0.0% 4.46

C501 5.7% 0.0% 3.8% 0.0% 47.2% 39.6% 3.8% 0.0% 4.56

C25A 11.6% 2.3% 4.7% 0.0% 14.0% 62.8% 4.7% 0.0% 4.48

C550 11.1% 4.6% 2.6% 0.3% 6.2% 69.4% 5.9% 0.0% 4.48

C551 0.0% 20.0% 0.0% 0.0% 20.0% 60.0% 0.0% 0.0% 4.65

### HAS608 

# A-52 Table A-20 (continued)

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT HOU** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi In

Time

(mins)

C560 12.7% 7.8% 2.2% 0.4% 6.5% 65.2% 4.9% 0.2% 4.46

C56X 10.7% 9.4% 3.1% 1.6% 7.5% 59.7% 6.9% 0.9% 4.45

C650 8.5% 10.8% 5.4% 1.5% 3.1% 62.3% 8.5% 0.0% 4.47

C680 4.3% 13.5% 0.0% 0.7% 3.5% 75.9% 2.1% 0.0% 4.58

C750 12.0% 6.0% 2.3% 0.4% 1.9% 71.8% 5.6% 0.0% 4.47

AC90 16.7% 22.2% 0.0% 0.0% 11.1% 50.0% 0.0% 0.0% 4.45

CRJ2 10.5% 0.0% 0.0% 0.0% 0.0% 84.2% 5.3% 0.0% 4.50

CRJ7 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

DC9 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

DH8A 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 4.55

D328 11.1% 0.0% 5.6% 1.4% 0.0% 79.2% 2.8% 0.0% 4.50

E135 8.7% 0.0% 0.0% 0.0% 0.0% 87.0% 4.3% 0.0% 4.53

E145 12.2% 0.0% 2.4% 0.0% 0.3% 79.6% 5.5% 0.0% 4.47

FA10 7.1% 3.6% 0.0% 0.0% 3.6% 85.7% 0.0% 0.0% 4.58

F2TH 14.0% 7.9% 5.6% 0.0% 0.0% 65.7% 6.7% 0.0% 4.43

FA20 10.7% 7.1% 3.6% 0.0% 3.6% 64.3% 10.7% 0.0% 4.43

FA50 15.5% 3.9% 5.8% 0.0% 0.0% 66.0% 8.7% 0.0% 4.40

F900 10.6% 19.1% 4.3% 0.0% 2.1% 59.6% 4.3% 0.0% 4.48

GLEX 0.0% 0.0% 16.7% 0.0% 0.0% 66.7% 16.7% 0.0% 4.49

H25C 0.0% 3.8% 3.8% 0.0% 3.8% 80.8% 7.7% 0.0% 4.59

G150 8.6% 19.1% 3.3% 2.6% 0.7% 59.9% 5.9% 0.0% 4.48

GLF2 12.3% 8.6% 3.1% 0.6% 2.5% 64.2% 8.6% 0.0% 4.43

GALX 13.2% 13.2% 0.0% 0.0% 0.0% 67.9% 5.7% 0.0% 4.45

GLF3 9.3% 2.3% 2.3% 0.0% 0.0% 81.4% 4.7% 0.0% 4.51

GLF4 9.6% 6.7% 1.4% 1.0% 1.4% 69.4% 10.5% 0.0% 4.45

GLF5 6.7% 10.0% 5.6% 2.2% 2.2% 68.9% 4.4% 0.0% 4.52

HA4T 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

ASTR 12.9% 0.0% 0.0% 0.0% 3.2% 74.2% 9.7% 0.0% 4.43

H25A 7.1% 0.0% 0.0% 0.0% 0.0% 85.7% 7.1% 0.0% 4.52

H25B 11.6% 2.4% 1.7% 0.0% 1.9% 74.9% 7.3% 0.2% 4.46

WW24 8.2% 0.6% 1.8% 0.6% 2.9% 78.9% 6.4% 0.6% 4.50

JS31 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 50.0% 0.0% 4.20

L29A 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

LJ24 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

LJ25 20.0% 8.6% 5.7% 0.0% 2.9% 62.9% 0.0% 0.0% 4.42

LJ31 8.0% 6.6% 0.7% 2.2% 2.9% 73.0% 6.6% 0.0% 4.50

LJ35 9.9% 13.9% 1.3% 2.0% 4.6% 60.3% 7.9% 0.0% 4.45

LJ40 16.7% 3.7% 1.9% 0.0% 0.0% 70.4% 7.4% 0.0% 4.40

LJ45 8.1% 1.1% 2.8% 0.2% 5.2% 76.0% 6.6% 0.0% 4.51

LJ55 8.0% 32.0% 2.7% 1.3% 1.3% 48.0% 6.7% 0.0% 4.47

LJ60 9.9% 4.1% 4.1% 0.0% 0.0% 76.9% 5.0% 0.0% 4.50

MD11 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

MD80 0.0% 0.0% 0.0% 0.0% 0.0% 83.3% 16.7% 0.0% 4.51

### HAS608 

# A-53 Table A-20 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT HOU** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi In

Time

(mins)

MD83 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

C130 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

M20P 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

MU2 3.6% 12.5% 5.4% 0.0% 21.4% 55.4% 1.8% 0.0% 4.59

MU30 24.0% 20.0% 4.0% 0.0% 8.0% 44.0% 0.0% 0.0% 4.36

P180 10.9% 6.3% 1.6% 1.6% 4.7% 64.1% 10.9% 0.0% 4.42

PA23 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.51

PA24 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

PA28 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

PA30 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

PA31 20.0% 0.0% 0.0% 0.0% 0.0% 40.0% 40.0% 0.0% 4.06

PAY1 14.3% 0.0% 0.0% 0.0% 57.1% 28.6% 0.0% 0.0% 4.50

PA32 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.51

PA34 16.7% 0.0% 33.3% 0.0% 50.0% 0.0% 0.0% 0.0% 4.44

PAY4 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 4.67

P46T 12.5% 6.3% 0.0% 0.0% 12.5% 56.3% 6.3% 6.3% 4.40

PC12 8.2% 19.6% 1.3% 2.5% 25.9% 36.1% 5.7% 0.6% 4.48

PRM1 8.5% 0.0% 1.7% 0.0% 3.4% 79.7% 6.8% 0.0% 4.51

SJ30 100.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.51

SW3 11.8% 5.9% 0.0% 0.0% 11.8% 58.8% 0.0% 11.8% 4.41

SBR1 10.5% 0.0% 10.5% 0.0% 5.3% 68.4% 5.3% 0.0% 4.49

SR20 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

SR22 0.0% 16.7% 0.0% 0.0% 16.7% 66.7% 0.0% 0.0% 4.65

TBM7 0.0% 0.0% 0.0% 0.0% 14.3% 85.7% 0.0% 0.0% 4.67

TRIN 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 3.72

Source: Noise Monitoring Data from May 2008-August 2008

### HAS608 

# A-54 Table A-21

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi Out

Time

(mins)

AA5B 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.73

A319 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 8.74

B712 3.10% 0.16% 72.92% 0.00% 0.16% 20.39% 3.26% 0.00% 9.57

B732 0.00% 0.00% 25.00% 0.00% 0.00% 75.00% 0.00% 0.00% 8.99

B733 3.16% 0.43% 28.13% 0.03% 0.41% 64.45% 3.35% 0.03% 9.13

B735 3.35% 0.26% 30.05% 0.00% 0.20% 61.81% 4.33% 0.00% 9.17

B737 3.02% 0.45% 31.53% 0.04% 0.26% 60.31% 4.35% 0.04% 9.18

B738 0.00% 0.00% 63.64% 0.00% 0.00% 36.36% 0.00% 0.00% 9.36

B739 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 8.74

B742 50.00% 0.00% 0.00% 0.00% 0.00% 50.00% 0.00% 0.00% 9.74

B752 0.00% 0.00% 75.00% 0.00% 0.00% 25.00% 0.00% 0.00% 9.48

B753 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

B461 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

BE10 2.94% 11.76% 64.71% 2.94% 2.94% 5.88% 8.82% 0.00% 9.62

B190 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

BE20 5.35% 17.27% 50.61% 2.19% 8.03% 11.44% 2.43% 2.68% 9.46

B350 2.24% 8.65% 67.95% 0.64% 8.01% 7.05% 2.56% 2.88% 9.55

BE36 4.35% 10.87% 52.17% 6.52% 10.87% 10.87% 2.17% 2.17% 9.51

BE40 2.94% 0.84% 60.50% 0.84% 2.10% 24.79% 5.46% 2.52% 9.53

BE55 3.92% 1.96% 30.39% 1.96% 4.90% 49.02% 5.88% 1.96% 9.27

BE58 0.00% 19.05% 44.05% 3.57% 9.52% 17.86% 2.38% 3.57% 9.33

BE60 0.00% 22.22% 55.56% 0.00% 5.56% 11.11% 5.56% 0.00% 9.37

BE90 0.00% 8.33% 66.67% 0.00% 8.33% 0.00% 0.00% 16.67% 9.66

BE9T 8.33% 19.44% 41.67% 2.78% 5.56% 22.22% 0.00% 0.00% 9.36

B222 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.36

CL30 5.00% 1.67% 56.67% 0.00% 0.83% 31.67% 4.17% 0.00% 9.46

CL60 5.93% 5.51% 62.71% 1.69% 0.42% 19.92% 3.39% 0.42% 9.56

C172 12.50% 12.50% 31.25% 6.25% 0.00% 12.50% 12.50% 12.50% 9.80

C182 0.00% 24.00% 44.00% 0.00% 8.00% 16.00% 4.00% 4.00% 9.30

C206 8.33% 16.67% 33.33% 0.00% 8.33% 33.33% 0.00% 0.00% 9.23

C208 0.00% 14.29% 42.86% 0.00% 0.00% 14.29% 14.29% 14.29% 9.62

C210 0.00% 6.25% 75.00% 0.00% 0.00% 6.25% 0.00% 12.50% 9.68

C310 0.00% 16.67% 83.33% 0.00% 0.00% 0.00% 0.00% 0.00% 9.56

C340 0.00% 0.00% 25.00% 0.00% 50.00% 0.00% 25.00% 0.00% 9.39

C414 0.00% 18.18% 72.73% 0.00% 0.00% 4.55% 4.55% 0.00% 9.53

C421 0.00% 18.18% 66.67% 0.00% 6.06% 3.03% 3.03% 3.03% 9.49

C425 0.00% 50.00% 25.00% 0.00% 25.00% 0.00% 0.00% 0.00% 8.99

C441 0.00% 24.00% 44.00% 4.00% 8.00% 20.00% 0.00% 0.00% 9.24

C500 7.41% 0.00% 62.96% 3.70% 0.00% 22.22% 0.00% 3.70% 9.62

C501 5.26% 8.77% 66.67% 1.75% 5.26% 8.77% 3.51% 0.00% 9.58

C25A 4.17% 0.00% 70.83% 2.08% 2.08% 12.50% 2.08% 6.25% 9.69

C550 3.40% 5.95% 63.74% 1.13% 1.98% 18.70% 3.97% 1.13% 9.53

C551 0.00% 0.00% 40.00% 0.00% 20.00% 40.00% 0.00% 0.00% 9.13

### HAS608 

# A-55 Table A-21 (continued)

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi Out

Time

(mins)

C560 3.49% 4.65% 49.07% 2.33% 2.79% 30.93% 3.95% 2.79% 9.44

C56X 5.54% 6.33% 33.77% 3.96% 1.58% 46.17% 1.32% 1.32% 9.29

C650 4.80% 1.60% 54.40% 1.60% 0.80% 30.40% 6.40% 0.00% 9.50

C680 3.87% 2.58% 38.06% 6.45% 0.65% 45.16% 1.94% 1.29% 9.35

C750 4.63% 2.85% 45.20% 2.49% 0.00% 40.57% 4.27% 0.00% 9.38

AC90 6.90% 34.48% 24.14% 3.45% 6.90% 17.24% 0.00% 6.90% 9.28

CRJ2 11.11% 0.00% 77.78% 0.00% 0.00% 11.11% 0.00% 0.00% 9.72

CRJ7 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

DC9 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

DH8A 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 8.74

D328 4.76% 1.59% 84.13% 1.59% 0.00% 6.35% 1.59% 0.00% 9.71

E135 0.93% 0.00% 86.11% 0.00% 0.00% 11.11% 1.85% 0.00% 9.63

E145 3.57% 0.43% 74.00% 0.00% 0.14% 17.43% 4.43% 0.00% 9.61

FA10 12.00% 0.00% 60.00% 4.00% 0.00% 24.00% 0.00% 0.00% 9.63

F2TH 4.43% 1.97% 53.69% 1.97% 0.00% 32.02% 5.42% 0.49% 9.48

FA20 7.69% 7.69% 42.31% 0.00% 0.00% 34.62% 7.69% 0.00% 9.43

FA50 5.88% 2.94% 51.96% 2.94% 0.00% 30.39% 5.88% 0.00% 9.51

F900 4.00% 0.00% 57.33% 2.67% 0.00% 32.00% 4.00% 0.00% 9.49

GLEX 0.00% 0.00% 62.50% 12.50% 0.00% 25.00% 0.00% 0.00% 9.56

H25C 10.34% 0.00% 68.97% 3.45% 0.00% 17.24% 0.00% 0.00% 9.68

G150 1.55% 1.55% 49.61% 0.78% 0.00% 42.64% 3.88% 0.00% 9.33

GLF2 4.21% 5.79% 66.32% 1.58% 0.53% 17.37% 3.68% 0.53% 9.57

GALX 9.23% 1.54% 26.15% 3.08% 0.00% 56.92% 3.08% 0.00% 9.28

GLF3 7.61% 0.00% 57.61% 2.17% 0.00% 21.74% 10.87% 0.00% 9.67

GLF4 3.33% 1.43% 61.43% 2.38% 0.48% 27.62% 3.33% 0.00% 9.50

GLF5 2.68% 4.46% 50.00% 0.89% 0.00% 37.50% 3.57% 0.89% 9.37

HA4T 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

ASTR 0.00% 2.56% 71.79% 0.00% 0.00% 20.51% 5.13% 0.00% 9.53

H25A 0.00% 5.26% 89.47% 0.00% 0.00% 5.26% 0.00% 0.00% 9.62

H25B 4.40% 2.28% 55.54% 0.49% 0.49% 30.62% 5.21% 0.98% 9.48

WW24 3.70% 5.82% 66.67% 2.12% 1.06% 17.46% 3.17% 0.00% 9.55

JS31 0.00% 50.00% 50.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.23

L29A 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

LJ24 0.00% 25.00% 75.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.48

LJ25 8.16% 2.04% 44.90% 2.04% 2.04% 34.69% 6.12% 0.00% 9.47

LJ31 2.36% 10.24% 44.88% 0.00% 1.57% 38.58% 2.36% 0.00% 9.27

LJ35 6.80% 4.08% 38.78% 4.76% 1.36% 40.14% 2.04% 2.04% 9.40

LJ40 5.77% 3.85% 59.62% 1.92% 3.85% 19.23% 3.85% 1.92% 9.56

LJ45 3.86% 1.42% 65.24% 1.02% 1.83% 18.70% 5.69% 2.24% 9.60

LJ55 6.00% 4.00% 36.00% 0.00% 0.00% 49.00% 5.00% 0.00% 9.29

LJ60 6.45% 4.84% 49.19% 1.61% 0.81% 31.45% 5.65% 0.00% 9.47

MD11 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.36

MD80 10.00% 0.00% 50.00% 0.00% 0.00% 30.00% 10.00% 0.00% 9.59

### HAS608 

# A-56 Table A-21 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 17 Rwy 22 Rwy 35 Rwy

12L Rwy

12R Rwy

30L Rwy

30R Average

Taxi Out

Time

(mins)

MD83 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.36

C130 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.36

M20P 0.00% 16.67% 50.00% 0.00% 8.33% 16.67% 8.33% 0.00% 9.37

MU2 24.62% 12.31% 33.85% 1.54% 6.15% 12.31% 4.62% 4.62% 9.74

MU30 14.29% 14.29% 32.14% 0.00% 0.00% 35.71% 3.57% 0.00% 9.40

P180 4.65% 8.14% 55.81% 1.16% 2.33% 23.26% 2.33% 2.33% 9.47

PA23 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.36

PA24 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.36

PA28 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 8.74

PA30 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 9.72

PA31 0.00% 33.33% 66.67% 0.00% 0.00% 0.00% 0.00% 0.00% 9.39

PAY1 11.11% 0.00% 77.78% 0.00% 0.00% 11.11% 0.00% 0.00% 9.72

PA32 20.00% 0.00% 20.00% 0.00% 20.00% 40.00% 0.00% 0.00% 9.33

PA34 14.29% 14.29% 57.14% 0.00% 0.00% 0.00% 0.00% 14.29% 9.82

PAY4 0.00% 0.00% 0.00% 0.00% 0.00% 50.00% 0.00% 50.00% 9.55

P46T 0.00% 13.04% 43.48% 13.04% 4.35% 17.39% 0.00% 8.70% 9.52

PC12 1.78% 31.95% 36.69% 3.55% 5.33% 11.83% 4.14% 4.73% 9.34

PRM1 4.62% 4.62% 61.54% 1.54% 1.54% 18.46% 6.15% 1.54% 9.58

SJ30 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 10.73

SW3 0.00% 13.64% 50.00% 0.00% 4.55% 22.73% 9.09% 0.00% 9.38

SBR1 4.55% 0.00% 77.27% 0.00% 0.00% 9.09% 9.09% 0.00% 9.74

SR20 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 8.74

SR22 9.09% 36.36% 54.55% 0.00% 0.00% 0.00% 0.00% 0.00% 9.46

TBM7 0.00% 42.86% 42.86% 0.00% 0.00% 7.14% 7.14% 0.00% 9.28

TRIN 0.00% 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% 0.00% 10.36

Source: Noise Monitoring Data from May 2008-August 2008

### HAS608 

# A-57 Table A-22

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT EFD** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 22 Rwy

17L Rwy

17R Rwy

35L Rwy

35R Average

Taxi In

Time (mins

AA5B 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 3.80

A320 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

B722 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 5.03

B722 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 5.03

B733 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

B735 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 3.80

B737 0.0% 0.0% 0.0% 33.3% 66.7% 0.0% 5.32

B738 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 8.10

B752 0.0% 0.0% 0.0% 80.0% 20.0% 0.0% 5.73

B762 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 5.03

B763 0.0% 33.3% 0.0% 33.3% 33.3% 0.0% 4.91

B772 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

BE20 0.0% 25.5% 0.0% 68.1% 6.4% 0.0% 5.31

B350 0.0% 9.1% 6.1% 66.7% 15.2% 3.0% 5.47

BE36 20.0% 0.0% 0.0% 60.0% 20.0% 0.0% 6.60

BE40 0.0% 40.0% 0.0% 60.0% 0.0% 0.0% 5.06

BE55 0.0% 16.7% 0.0% 66.7% 16.7% 0.0% 5.40

BE58 0.0% 9.1% 0.0% 81.8% 9.1% 0.0% 5.63

BE60 0.0% 0.0% 0.0% 75.0% 25.0% 0.0% 5.68

BE9L 0.0% 40.0% 0.0% 50.0% 10.0% 0.0% 4.97

BE9L 0.0% 40.0% 0.0% 50.0% 10.0% 0.0% 4.97

T38 1.7% 10.9% 0.8% 75.9% 10.7% 0.0% 5.64

CL30 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

CL60 0.0% 20.0% 0.0% 60.0% 20.0% 0.0% 5.31

EA50 4.2% 8.3% 0.0% 79.2% 8.3% 0.0% 5.84

C182 0.0% 60.0% 0.0% 20.0% 20.0% 0.0% 4.46

C208 0.0% 0.0% 0.0% 85.7% 14.3% 0.0% 5.78

C208 0.0% 0.0% 0.0% 85.7% 14.3% 0.0% 5.78

C210 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 5.03

C310 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

C340 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

C421 0.0% 12.5% 0.0% 75.0% 12.5% 0.0% 5.53

C421 0.0% 12.5% 0.0% 75.0% 12.5% 0.0% 5.53

C425 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 3.80

C441 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

C500 0.0% 0.0% 0.0% 25.0% 75.0% 0.0% 5.25

C525 0.0% 0.0% 0.0% 85.7% 14.3% 0.0% 5.78

C25B 10.0% 10.0% 0.0% 60.0% 20.0% 0.0% 5.96

C550 0.0% 10.0% 0.0% 90.0% 0.0% 0.0% 5.69

C560 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

C56X 0.0% 16.7% 0.0% 83.3% 0.0% 0.0% 5.55

C650 0.0% 0.0% 0.0% 80.0% 20.0% 0.0% 5.73

C680 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

C750 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

AC90 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

CARJ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 6.11

DC3 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

DC9 0.0% 42.9% 0.0% 28.6% 28.6% 0.0% 4.75

E135 0.0% 25.0% 0.0% 50.0% 25.0% 0.0% 5.16

E145 0.0% 0.0% 0.0% 80.0% 20.0% 0.0% 5.73

FA10 0.0% 10.0% 0.0% 80.0% 10.0% 0.0% 5.60

F2TH 0.0% 50.0% 0.0% 50.0% 0.0% 0.0% 4.85

FA50 0.0% 20.0% 0.0% 60.0% 20.0% 0.0% 5.31

F900 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

G159 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

### HAS608 

# A-58 Table A-22 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI IN TIME BY AIRCRAFT TYPE AT EFD** 

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 22 Rwy

17L Rwy

17R Rwy

35L Rwy

35R Average

Taxi In

Time (mins

GLF2 0.0% 12.5% 0.0% 68.8% 18.8% 0.0% 5.47

GLF4 0.0% 0.0% 0.0% 90.0% 10.0% 0.0% 5.81

GLF5 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.61

H25B 0.0% 18.8% 0.0% 81.3% 0.0% 0.0% 5.51

H25B 0.0% 18.8% 0.0% 81.3% 0.0% 0.0% 5.51

WW24 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

L29B 0.0% 16.7% 0.0% 50.0% 33.3% 0.0% 5.26

L29A 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

LJ24 0.0% 0.0% 0.0% 50.0% 50.0% 0.0% 5.46

LJ25 0.0% 100.0% 0.0% 0.0% 0.0% 0.0% 3.80

LJ31 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.61

LJ35 0.0% 0.0% 0.0% 80.0% 20.0% 0.0% 5.73

LJ40 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

LJ45 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

LJ55 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

LJ60 0.0% 0.0% 0.0% 75.0% 25.0% 0.0% 5.68

T38 1.7% 10.9% 0.8% 75.9% 10.7% 0.0% 5.64

T38 1.7% 10.9% 0.8% 75.9% 10.7% 0.0% 5.64

T38 1.7% 10.9% 0.8% 75.9% 10.7% 0.0% 5.64

M20P 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

MU2 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

P180 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.61

PA24 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

PA32 0.0% 33.3% 0.0% 66.7% 0.0% 0.0% 5.20

PA32 0.0% 33.3% 0.0% 66.7% 0.0% 0.0% 5.20

PA31 0.0% 0.0% 25.0% 25.0% 50.0% 0.0% 5.01

PA31 0.0% 0.0% 25.0% 25.0% 50.0% 0.0% 5.01

PA32 0.0% 33.3% 0.0% 66.7% 0.0% 0.0% 5.20

PA34 0.0% 11.1% 0.0% 66.7% 22.2% 0.0% 5.47

PA34 0.0% 11.1% 0.0% 66.7% 22.2% 0.0% 5.47

PA46 0.0% 50.0% 0.0% 0.0% 50.0% 0.0% 4.41

PC12 0.0% 0.0% 0.0% 60.0% 40.0% 0.0% 5.55

PRM1 0.0% 50.0% 0.0% 50.0% 0.0% 0.0% 4.85

SW3 0.0% 16.0% 0.0% 76.0% 8.0% 0.0% 5.49

SBR1 0.0% 21.5% 0.0% 63.1% 15.4% 0.0% 5.31

SR22 0.0% 0.0% 0.0% 83.3% 16.7% 0.0% 5.75

SR22 0.0% 0.0% 0.0% 83.3% 16.7% 0.0% 5.75

TBM7 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.90

Source: Noise Monitoring Data from May 2008-August 2008

### HAS608 

# A-59 Table A-23

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 22 Rwy

17L Rwy

17R Rwy

35L Rwy

35R Average

Taxi Out

Time (mins

AA5B 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 4.91

A320 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

B712 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 4.91

B722 33.3% 0.0% 0.0% 33.3% 33.3% 0.0% 5.82

B733 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 4.91

B735 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 4.91

B737 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 6.68

B738 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 5.40

B752 0.0% 0.0% 0.0% 75.0% 25.0% 0.0% 5.83

B762 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 6.68

B763 0.0% 33.3% 0.0% 0.0% 66.7% 0.0% 7.72

B772 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 6.68

BE20 6.5% 4.3% 2.2% 76.1% 10.9% 0.0% 5.87

B350 7.1% 2.4% 4.8% 73.8% 11.9% 0.0% 5.82

BE36 7.7% 0.0% 0.0% 92.3% 0.0% 0.0% 5.53

BE40 15.4% 0.0% 0.0% 69.2% 15.4% 0.0% 5.68

BE55 0.0% 0.0% 14.3% 42.9% 42.9% 0.0% 6.21

BE58 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

BE60 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.93

BE90 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

BE9L 0.0% 0.0% 11.1% 77.8% 11.1% 0.0% 5.81

T38 21.3% 2.6% 0.0% 64.5% 11.6% 0.0% 5.73

CL30 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

CL60 0.0% 0.0% 0.0% 60.0% 40.0% 0.0% 6.00

EA50 4.5% 0.0% 0.0% 77.3% 18.2% 0.0% 5.74

C182 6.3% 0.0% 12.5% 75.0% 6.3% 0.0% 5.76

C206 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C208 0.0% 0.0% 0.0% 83.3% 16.7% 0.0% 5.74

C210 0.0% 0.0% 20.0% 70.0% 10.0% 0.0% 5.91

C310 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C340 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C414 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C421 0.0% 0.0% 8.3% 83.3% 8.3% 0.0% 5.75

C421 0.0% 0.0% 8.3% 83.3% 8.3% 0.0% 5.75

C441 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C500 0.0% 0.0% 0.0% 33.3% 66.7% 0.0% 6.30

C525 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

C25B 25.0% 0.0% 0.0% 66.7% 8.3% 0.0% 5.57

C550 7.7% 7.7% 0.0% 69.2% 15.4% 0.0% 6.03

C560 22.2% 0.0% 0.0% 55.6% 22.2% 0.0% 5.73

C56X 0.0% 0.0% 0.0% 42.9% 57.1% 0.0% 6.19

C650 12.5% 0.0% 0.0% 75.0% 12.5% 0.0% 5.66

C680 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

### HAS608 

# A-60 Table A-23 (concluded)

**RUNWAY UTILIZATION AND AVERAGE TAXI OUT TIME BY AIRCRAFT TYPE AT EFD**

HAS Emissions Inventory Study

Runway Utilization

Aircraft

Type Rwy 4 Rwy 22 Rwy

17L Rwy

17R Rwy

35L Rwy

35R Average

Taxi Out

Time (mins

C750 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

AC90 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

CARJ 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 6.68

DC9 14.3% 14.3% 0.0% 28.6% 42.9% 0.0% 6.60

DC9 14.3% 14.3% 0.0% 28.6% 42.9% 0.0% 6.60

E135 0.0% 0.0% 0.0% 75.0% 25.0% 0.0% 5.83

E145 0.0% 0.0% 0.0% 71.4% 28.6% 0.0% 5.87

FA10 0.0% 0.0% 0.0% 75.0% 25.0% 0.0% 5.83

F2TH 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

FA50 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

F900 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

G159 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

GLF2 26.1% 0.0% 0.0% 56.5% 17.4% 0.0% 5.67

GLF4 0.0% 0.0% 11.1% 77.8% 11.1% 0.0% 5.81

GLF5 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

ASTR 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

H25B 10.5% 0.0% 0.0% 73.7% 15.8% 0.0% 5.70

WW24 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

L29B 12.5% 12.5% 0.0% 62.5% 12.5% 0.0% 6.19

L29A 0.0% 0.0% 0.0% 0.0% 100.0% 0.0% 6.68

LJ24 25.0% 0.0% 0.0% 75.0% 0.0% 0.0% 5.48

LJ25 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.93

LJ31 0.0% 0.0% 0.0% 50.0% 50.0% 0.0% 6.11

LJ35 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

LJ40 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.93

LJ45 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

LJ55 0.0% 33.3% 0.0% 66.7% 0.0% 0.0% 6.98

LJ60 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 5.40

T38 21.3% 2.6% 0.0% 64.5% 11.6% 0.0% 5.73

T38 21.3% 2.6% 0.0% 64.5% 11.6% 0.0% 5.73

T38 21.3% 2.6% 0.0% 64.5% 11.6% 0.0% 5.73

M20P 0.0% 0.0% 0.0% 71.4% 28.6% 0.0% 5.87

MU2 0.0% 0.0% 0.0% 66.7% 33.3% 0.0% 5.93

P180 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

PA24 0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 4.91

PA32 0.0% 0.0% 0.0% 85.7% 14.3% 0.0% 5.71

PA30 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

PA31 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

PA31 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

PA32 0.0% 0.0% 0.0% 85.7% 14.3% 0.0% 5.71

PA34 8.3% 8.3% 0.0% 83.3% 0.0% 0.0% 5.88

PA44 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

PA46 0.0% 0.0% 0.0% 83.3% 16.7% 0.0% 5.74

PC12 0.0% 0.0% 0.0% 33.3% 66.7% 0.0% 6.30

PRM1 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

SW3 6.5% 0.0% 0.0% 87.1% 6.5% 0.0% 5.61

SBR1 12.1% 6.1% 0.0% 69.7% 12.1% 0.0% 5.91

SR20 50.0% 0.0% 0.0% 50.0% 0.0% 0.0% 5.40

SR22 25.0% 0.0% 0.0% 75.0% 0.0% 0.0% 5.48

TBM7 0.0% 0.0% 0.0% 100.0% 0.0% 0.0% 5.55

Source: Noise Monitoring Data from May 2008-August 2008

### HAS608 

# A-61 **A.3.2 Future Taxi times**

For IAH, future-year aircraft taxi times were based on a demand/capacity analysis.

This relationship was used to compute dela y based on aircraft demand from the TAF

for the emissions inventory study years as shown in Table A-24. An average unimpeded

taxi in and taxi out time for the airport wa s determined based on a weighed average of

the runway utilization and the estimated t ravel distance between each runway and the

terminal. These projected taxi times accoun t for the construction of Runway 8C/26C

and 9R/27L and several taxiway improvements by 2017.

Table A-24

**DELAY-DEMAND RELATIONSHIP AT IAH**

HAS Emissions Inventory Study



# Year Annual

Operations Annual Average

Delay

(min/operation) % increase in

Annual Average

Delay

2005 551,784 9.60

2011 590,523 10.27 107%

2014 639,145 11.12 116%

2017 686,150 11.94 124%

2018 702,953 12.23 127%

Source: Derived from delay-demand relationship from 2006 Master Plan

and FAA 2008 TAF.



# Tables A-25 and A-26 show the computed futu re-year projections of taxi in and taxi out

times for IAH.

### HAS608 

# A-62 Table A-25

**TAXI IN TIMES BY RUNWAY AT IAH**

HAS Emissions Inventory Study



# Taxi in Time (min)

Year Delay Travel

Time Total

2005 2.70 6.00 8.70

2011 2.89 6.20 9.09

2014 3.13 6.20 9.33

2017 3.36 5.25 8.61

2018 3.44 5.25 8.69

Source: FAA Aviation System Performance

Metrics, 2006 DMJM George Bush

Intercontinental Airport Master Plan.

Table A-26

**TAXI OUT TIMES BY RUNWAY AT IAH**

HAS Emissions Inventory Study



# Year Delay Travel Time Total

2005 6.90 13.90 20.80

2011 7.38 14.43 21.81

2014 7.99 14.43 22.42

2017 8.58 8.48 17.06

2018 8.79 8.48 17.27

Source FAA Aviation System Performance

Metrics, 2006 DMJM George Bush

Intercontinental Airport Master Plan.



# A demand/capacity analysis was conducted linking aircraft delay as a function of

demand at HOU. The delay represented the average annual delay for the entire

airfield. Based on the demand/capacity an alysis, a relationship was derived between

demand and delay as shown in Table A-27. This relationship was projected to compute

delay based on aircraft demand from the TAF for the SIP Demonstration and

Attainment years. The increase in the ai rcraft delay was added to the baseline taxi

### HAS608 

# A-63 times to estimate future taxi times. It wa s assumed that the taxi delay component

increased proportionally with total airfield delay. Table A-28 shows the future

projections of taxi times at HOU.

Table A-27

**DELAY-DEMAND RELATIONSHIP AT HOU**

HAS Emissions Inventory Study



# Year Annual

Operations Annual Average

Delay

(mins/operation) Percent increase

in Annual

Average Delay

2005 241,904 0.75

2006 238,606 0.69

‐ 8.2%

2007 240,044 0.72

‐ 4.7%

2008 223,612 0.47

‐ 37.8%

2009 229,481 0.55

‐ 27.6%

2010 229,195 0.54

‐ 28.1%

2011 231,819 0.58

‐ 23.1%

2012 234,473 0.62

‐ 17.6%

2013 237,159 0.67

‐ 11.6%

2014 239,879 0.72

‐ 5.1%

2015 243,692 0.79 4.8%

2016 247,577 0.87 15.9%

2017 251,524 0.97 28.4%

2018 255,543 1.08 42.6%

Source: Derived from delay-demand relationship from 2003 Master Plan.

### HAS608 

# A-64 Table A-28

**FUTURE TAXI TIMES BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Taxi In Time (mins) Taxi Out Time (mins) 

# A ircraft

Type 2011 2014 2017 2018 2011 2014 2017 2018

AA5B 3.72 3.48 3.67 4.02 4.17 10.73 10.15 10.60



# A319 4.20 3.95 4.14 4.49 4.64 8.74 8.16 8.61



# B712 4.48 4.23 4.42 4.77 4.92 9.57 8.99 9.44



# B732 4.67 4.43 4.62 4.97 5.12 8.99 8.40 8.86



# B733 4.47 4.23 4.42 4.77 4.92 9.13 8.55 9.00



# B735 4.46 4.22 4.41 4.76 4.91 9.17 8.59 9.04



# B737 4.46 4.22 4.41 4.76 4.91 9.18 8.60 9.05



# B738 4.67 4.43 4.62 4.97 5.12 9.36 8.78 9.23



# B739 4.67 4.43 4.62 4.97 5.12 8.74 8.16 8.61



# B742 4.03 3.79 3.98 4.33 4.48 9.74 9.15 9.61



# B752 4.44 4.20 4.38 4.74 4.88 9.48 8.89 9.35



# B753 4.09 3.85 4.04 4.39 4.54 9.72 9.14 9.59



# B461 3.72 3.48 3.67 4.02 4.17 9.72 9.14 9.59



# BE10 4.48 4.23 4.42 4.77 4.92 9.62 9.04 9.49



# B190 4.67 4.43 4.62 4.97 5.12 9.72 9.14 9.59



# BE20 4.46 4.22 4.41 4.76 4.91 9.46 8.88 9.33



# B350 4.48 4.23 4.42 4.77 4.92 9.55 8.97 9.42



# BE36 4.32 4.07 4.26 4.61 4.76 9.51 8.93 9.38



# BE40 4.48 4.24 4.43 4.78 4.93 9.53 8.95 9.41



# BE55 4.54 4.30 4.48 4.84 4.99 9.27 8.69 9.15



# BE58 4.52 4.27 4.46 4.81 4.96 9.33 8.74 9.20



# BE60 4.66 4.41 4.60 4.95 5.10 9.37 8.79 9.25



# BE90 4.51 4.27 4.46 4.81 4.96 9.66 9.08 9.53



# BE9T 4.42 4.18 4.37 4.72 4.87 9.36 8.78 9.23



# B222 3.51 3.27 3.46 3.81 3.96 10.36 9.78 10.23



# CL30 4.51 4.27 4.45 4.81 4.96 9.46 8.88 9.33



# CL60 4.49 4.25 4.44 4.79 4.94 9.56 8.98 9.43



# C172 4.67 4.43 4.62 4.97 5.12 9.80 9.22 9.67



# C182 4.34 4.10 4.28 4.64 4.79 9.30 8.72 9.17



# C206 4.67 4.43 4.62 4.97 5.12 9.23 8.65 9.10



# C208 4.67 4.43 4.62 4.97 5.12 9.62 9.04 9.49



# C210 4.64 4.39 4.58 4.93 5.08 9.68 9.10 9.55



# C310 4.63 4.39 4.58 4.93 5.08 9.56 8.98 9.43



# C340 4.39 4.15 4.34 4.69 4.84 9.39 8.81 9.26



# C414 4.54 4.30 4.49 4.84 4.99 9.53 8.95 9.40



# C421 4.46 4.22 4.41 4.76 4.91 9.49 8.91 9.36



# C425 4.67 4.43 4.62 4.97 5.12 8.99 8.40 8.86



# C441 4.55 4.31 4.49 4.85 4.99 9.24 8.65 9.11



# C500 4.46 4.22 4.41 4.76 4.91 9.62 9.04 9.50



# C501 4.56 4.32 4.51 4.86 5.01 9.58 9.00 9.45



# C25A 4.48 4.24 4.43 4.78 4.93 9.69 9.10 9.56



# C550 4.48 4.23 4.42 4.77 4.92 9.53 8.95 9.40



# C551 4.65 4.40 4.59 4.94 5.09 9.13 8.55 9.00

### HAS608 

# A-65 Table A-28 (continued)

**FUTURE TAXI TIMES BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Taxi In Time (mins) Taxi Out Time (mins)

Aircraft Type 2011 2014 2017 2018 2011 2014 2017 2018

C560 4.46 4.22 4.41 4.76 4.91 9.44 8.86 9.31



# C56X 4.45 4.21 4.40 4.75 4.90 9.29 8.71 9.16



# C650 4.47 4.22 4.41 4.76 4.91 9.50 8.92 9.37



# C680 4.58 4.34 4.53 4.88 5.03 9.35 8.77 9.22



# C750 4.47 4.22 4.41 4.76 4.91 9.38 8.80 9.26



# AC90 4.45 4.21 4.40 4.75 4.90 9.28 8.70 9.15



# CRJ2 4.50 4.26 4.44 4.80 4.94 9.72 9.14 9.59



# CRJ7 4.67 4.43 4.62 4.97 5.12 9.72 9.14 9.59



# DC9 4.67 4.43 4.62 4.97 5.12 9.72 9.14 9.59



# DH8A 4.55 4.31 4.50 4.85 5.00 8.74 8.16 8.61



# D328 4.50 4.26 4.45 4.80 4.95 9.71 9.13 9.58



# E135 4.53 4.29 4.47 4.83 4.97 9.63 9.05 9.50



# E145 4.47 4.23 4.42 4.77 4.92 9.61 9.03 9.48



# FA10 4.58 4.34 4.53 4.88 5.03 9.63 9.05 9.50



# F2TH 4.43 4.18 4.37 4.73 4.87 9.48 8.90 9.35



# FA20 4.43 4.19 4.38 4.73 4.88 9.43 8.85 9.30



# FA50 4.40 4.15 4.34 4.69 4.84 9.51 8.93 9.38



# F900 4.48 4.24 4.42 4.78 4.92 9.49 8.91 9.36



# GLEX 4.49 4.25 4.44 4.79 4.94 9.56 8.97 9.43



# H25C 4.59 4.35 4.53 4.89 5.03 9.68 9.10 9.55



# G150 4.48 4.24 4.42 4.78 4.92 9.33 8.75 9.20



# GLF2 4.43 4.19 4.37 4.73 4.88 9.57 8.99 9.44



# GALX 4.45 4.20 4.39 4.75 4.89 9.28 8.70 9.15



# GLF3 4.51 4.27 4.46 4.81 4.96 9.67 9.09 9.54



# GLF4 4.45 4.20 4.39 4.74 4.89 9.50 8.92 9.37



# GLF5 4.52 4.28 4.47 4.82 4.97 9.37 8.79 9.24



# HA4T 3.72 3.48 3.67 4.02 4.17 9.72 9.14 9.59



# ASTR 4.43 4.19 4.37 4.73 4.88 9.53 8.95 9.40



# H25A 4.52 4.28 4.47 4.82 4.97 9.62 9.04 9.49



# H25B 4.46 4.22 4.41 4.76 4.91 9.48 8.90 9.35



# WW24 4.50 4.26 4.45 4.80 4.95 9.55 8.97 9.42



# JS31 4.20 3.95 4.14 4.49 4.64 9.23 8.65 9.10



# L29A 4.67 4.43 4.62 4.97 5.12 9.72 9.14 9.59



# LJ24 4.67 4.43 4.62 4.97 5.12 9.48 8.89 9.35



# LJ25 4.42 4.18 4.37 4.72 4.87 9.47 8.89 9.35



# LJ31 4.50 4.25 4.44 4.80 4.94 9.27 8.68 9.14



# LJ35 4.45 4.21 4.40 4.75 4.90 9.40 8.82 9.27



# LJ40 4.40 4.16 4.35 4.70 4.85 9.56 8.98 9.43



# LJ45 4.51 4.27 4.45 4.81 4.96 9.60 9.02 9.47



# LJ55 4.47 4.22 4.41 4.77 4.91 9.29 8.71 9.16



# LJ60 4.50 4.26 4.44 4.80 4.94 9.47 8.89 9.34



# MD11 4.67 4.43 4.62 4.97 5.12 10.36 9.78 10.23



# MD80 4.51 4.27 4.46 4.81 4.96 9.59 9.01 9.46

### HAS608 

# A-66 Table A-28 (concluded)

**FUTURE TAXI TIMES BY AIRCRAFT TYPE AT HOU**

HAS Emissions Inventory Study

Taxi In Time (mins) Taxi Out Time (mins)

Aircraft Type 2011 2014 2017 2018 2011 2014 2017 2018

MD83 3.72 3.48 3.67 4.02 4.17 10.36 9.78 10.23



# C130 3.72 3.48 3.67 4.02 4.17 10.36 9.78 10.23



# M20P 4.67 4.43 4.62 4.97 5.12 9.37 8.78 9.24



# MU2 4.59 4.35 4.54 4.89 5.04 9.74 9.15 9.61



# MU30 4.36 4.12 4.31 4.66 4.81 9.40 8.82 9.27



# P180 4.42 4.18 4.37 4.72 4.87 9.47 8.89 9.34



# PA23 3.51 3.27 3.46 3.81 3.96 10.36 9.78 10.23



# PA24 3.72 3.48 3.67 4.02 4.17 10.36 9.78 10.23



# PA28 3.72 3.48 3.67 4.02 4.17 8.74 8.16 8.61



# PA30 4.67 4.43 4.62 4.97 5.12 9.72 9.14 9.59



# PA31 4.06 3.82 4.00 4.36 4.50 9.39 8.81 9.26



# PAY1 4.50 4.26 4.45 4.80 4.95 9.72 9.14 9.59



# PA32 3.51 3.27 3.46 3.81 3.96 9.33 8.75 9.20



# PA34 4.44 4.19 4.38 4.74 4.88 9.82 9.23 9.69



# PAY4 4.67 4.43 4.62 4.97 5.12 9.55 8.97 9.42



# P46T 4.40 4.16 4.34 4.70 4.85 9.52 8.94 9.39



# PC12 4.48 4.24 4.43 4.78 4.93 9.34 8.75 9.21



# PRM1 4.51 4.26 4.45 4.80 4.95 9.58 9.00 9.46



# SJ30 3.51 3.27 3.46 3.81 3.96 10.73 10.15 10.60



# SW3 4.41 4.17 4.36 4.71 4.86 9.38 8.80 9.25



# SBR1 4.49 4.24 4.43 4.78 4.93 9.74 9.15 9.61



# SR20 3.72 3.48 3.67 4.02 4.17 8.74 8.16 8.61



# SR22 4.65 4.41 4.60 4.95 5.10 9.46 8.87 9.33



# TBM7 4.67 4.43 4.62 4.97 5.12 9.28 8.69 9.15



# TRIN 3.72 3.48 3.67 4.02 4.17 10.36 9.78 10.23



# The taxi time delay at EFD is insignificant. The delay is not expected to increase in the

future. The baseline taxi times were assumed to remain constant thru future years at

EFD.

# Appendix B

**ESTIMATION OF EMISSIONS FROM**

**AUXILIARY POWER UNITS**

### HAS608 

# B-1 

# Appendix B

ESTIMATION OF EMISSIONS FR OM AUXILIARY POWER UNITS

B.1 INTRODUCTION

This appendix provides a detailed explanatio n of the concepts, methodology, and data

used for estimating emissions from auxili ary power units for the development of the

8-hour ozone SIP for the Houston-Galveston-Brazoria (HGB) nonattainment area. The

APU usage depends on (1) PCA equipage at the gate (2) time that an aircraft is parked

at the gate (known as gate occupancy time) and (3) duration (based on ambient

temperature) that an APU would operate.

The APU times were segregated by airlin e/aircraft type depending on the gate

occupancy time for that airline/aircraft type combination.

B.2 PCA EQUIPAGE AT THE GATES

B.2.1 Baseline Year

A gate survey was done in October 2008 at IAH and HOU to determine the extent of

PCA usage at HOU and IAH. In 2008, all gate s at IAH were fitted with PCA units and

all aircraft parked at the gates utilized PCA. It was confirmed that the same was the

case in 2005. At HOU, all gates have PCA in 2008. In 2005, 5 out of 23 gates were

equipped with PCA.

B.2.2 Future Years

As stated earlier, all gates at IAH and HOU are equipped with PCA in 2008. Based on a

life cycle of 15 years for a PCA unit, two PCA units were assumed to retire every year.

Table B-1 and B-2 show the number of gate s equipped with PCA in the future at IAH

and HOU respectively.

### HAS608 

# B-2 Table B-1

**PCA USAGE AT IAH**

HAS Emissions Inventory Study



# Year Number of PCA

equipped Gates Total Number

of Gates Percent of Gates

Equipped

2005 154 154 100%

2011 99 169 58%

2014 72 178 41%

2017 45 187 24%

2018 35 189 19%

Retiring rate – 12 PCA units per year.

Table B-2

**PCA USAGE AT HOU**

HAS Emissions Inventory Study



# Year Number of PCA

equipped Gates Total Number

of Airline

Gates % of Gates

Equipped

2005 5 23 26.1%

2011 19 25 76.0%

2014 13 25 52.0%

2017 7 25 28.0%

2018 5 25 20.0%

Retiring rate – 2 PCA units per year.

### HAS608 

# B-3 **B.3 GATE OCCUPANCY TIME**

This represents the total time that an aircraft spends at a gate. The gate occupancy times

were derived from the 2005 schedule for commercial scheduled operations from the

OAG. Jacobs Consultancy’s proprietary flight matching software was used to match

flights to determine the gate occupancy for each LTO. The flight matching software

matches every arrival with a corresponding de parture based on a combination of many

flight attributes. In order to accurately match flights, a combination of airline operator,

aircraft type and flight number were used . The difference bet ween the scheduled

arrival and departure time is an estimate of the gate occupancy time. The aircraft was

assumed to remain at the gate during the entire period. The turnaround times were

capped at 60 minutes for aircraft overnightin g in Houston. The gate occupancy times by

airline and aircraft type are prov ided in section 4 of the report.

**B.4 TEMPERATURE**

Typically, APU are used at temperatures above 55 ° F and below 35 ° F. In order to

determine the proportion of time during the day that an APU operates, five years of

temperature data at IAH was analyzed. The number of hours during 6 AM and 11 PM

that the temperature was between 35 ° F and 55 ° F was totaled and the proportion of

hours as a ratio to the total hours available wa s determined. It was assumed that the

temperature didn’t vary across the three airports.

Table B-3

**APU TEMPERATURE ANALYSIS**

HAS Emissions Inventory Study



# Hours Annual Ozone Season

Total Number of Hours (6 AM – 11 PM) 30,804 23,347

Number of Hours between 35 ° F and 55 ° F 4,870 2,016

Percent of Hours between 35 ° F and 55 ° F 15.81% 8.63%

Source: Meteorological data from 2003 to 2007 for IAH.



# B.5 APU TIMES COMPUTATION METHODOLOGY

If a gate is equipped with PCA, then the FAA recommended assumption for the

operating time of an aircraft’s APU at that gate is 7 minutes per LTO. If not, then it’s a

function of the gate occupancy and the temp erature. For non-PCA gates, the APU was

assumed to be operating for the entire gating occupancy time. However, the gate

occupancy times were capped at 60 minutes for aircraft overnighting at the airport.

### HAS608 

# B-4 The APU time is the weighted average of th e gate occupancy times of the proportion of

gates that don’t have PCA with the propor tion of gates that have PCA. The FAA

recommendation of 7 minutes of APU operatin g time is used for gates with PCA units.

The equation below illustrates the computa tion of APU operating time for each

airline/aircraft combination.

The APU time is the weighted average of th e gate occupancy times of the proportion of

gates that don’t have PCA with the propor tion of gates that have PCA. The FAA

recommendation of 7 minutes of APU operatin g time is used for gates with PCA units.

The equation below illustrates the computa tion of APU operating time for each

airline/aircraft combination.



# ) 1( _)%1() (% / / pr aircraft airline default aircraft airline 

# e Temperatur Occupancy GatePCA APUPCA APU −× ×

− + ×=

Where: APU

airline/aircraft 

# = APU operating time per LTO for that

airline/aircraft combination

% PCA = Proportion of gates that are equipped with PCA

(for example 43.3% at HOU in 2005)

APU

default 

# = 7 minutes per LTO (Based on FAA guidance)

Gate_Occupancy

airline/aircraft 

# = Turnaround time for each airline/aircraft

combination

Temperature

pr 

# = Proportion of hours that temperature is between

between 35 

# ° F and 55 

# ° F

# Appendix C

**ESTIMATION OF EMISSIONS FROM**

**GROUND SUPPORT EQUIPMENT**

### HAS608 

# C-1 

# Appendix C

**ESTIMATION OF EMISSIONS FR OM GROUND SUPPORT EQUIPMENT** 

**C.1 INTRODUCTION**

This appendix provides a detailed explanatio n of the concepts, methodology, and data

needs for estimating emissions from ground support equipment for the development of

the 8-hour ozone SIP for the Houston-Galv eston-Brazoria (HGB) nonattainment area.

GSE activity was segregated into two location categories:

• 

# GSE activity within the vicinity of the aircraft - This category accounts for all

GSE activity within the immediate vicinity of the aircraft (servicing the aircraft)

on the ground. The EDMS activity-based method was used to model all activity

around an aircraft.

• 

# GSE activity beyond the vicinity of the airc raft – This activity occurs beyond the

immediate vicinity of aircraft in direct support of an aircraft operation—either

traveling to the gate or transporti ng items and materials. The EDMS

population-based method was used to model all activity beyond the vicinity of

an aircraft.

**C.2 GSE ACTIVITY WITHIN THE VICINITY OF THE AIRCRAFT** 

**C.2.1 Time in Mode Survey**

A time-in-mode survey (TiM) was perfor med at IAH and HOU to capture relevant

operating times for each type of GSE equipmen t. The TiM represents the total time each

category of GSE spends servicing an aircraft during a complete LTO cycle. Real-time

observations were made to record the actual GSE serving times. Table C-1 and C-2

show the operating time meas urements by GSE category.

The measurements represent GSE usage times du ring a series of weekdays during third

quarter 2008. This usage time was deemed to be representative of typical aircraft

servicing times. The total GSE activity is determined by multiplying the GSE operating

time per aircraft operation by the annual aircraft operations. Individual aircraft

operations vary from year to year, but the GSE operating times for the different aircraft

types should remain relatively constant.HAS608C-2Table C-1TIME IN MODE SURVEY AT IAHHAS Emissions Inventory StudyOperatorAircraftTypeBagTractorBeltLoadersCateringTruckFuelTruckAircraftTractorLavatoryTruckContainerLoaderCargoLoaderPassengerStandGeneratorGPUHydrantTruckWaterTruckNarrow bodyAA MD82 20 3018 5 25UA A319 16 17 17 5NW A319 12 56 14 9NW A319 23 59 14 9US 737-3 14 35 13 5US 737-4 22 34 24 5 22FR A319 18 30 15 5 13AA MD82 26 26 7 6 14AA MD82 20 30 16 5 11CO 737-9 20 30 3 6 3CO 737-9 16 17 4 7 4CO 737-9 12 56 4 6 4CO 757 23 59 6 12 5Wide bodyLH 747-4 75 70 100 40 5 30 68 68 70AF 777 110 95 129 72 5 60 94 94 90KLM 747 130 66 90 50 5 46 68 68 58KLM 747-4 62 95 118 48 5 50 80 80 35SQ 777 87 120 87 35 5 38 135 135 110SQ 777 96 155 198 68 5 56 125 125 115LH 747 63 74 93 35 5 27 70 70 70CO 777 90 9 27 8CO 777 85 10 25 8CO 767-2 61 8 15 5CO 767-2 58 8 18 6Notes: All observations in minutes. Only fuel trucks/carts modeled for COA and SWA. Based on available information, it was assumed that 80% of fueltrucks were owned/operated by COA in 2005.In future years, COA will own/operate 100%of the fuel truck fleet. In 2005, Atlantic Aviation provided fueltrucks for SWA. In future scenarios, SWA owns and operates their own fuel trucks and thus wasn’t included as part of the emissions inventory in the futureHAS608C-3Table C-1(continued)TIME IN MODE SURVEY AT IAHHAS Emissions Inventory StudyOperatorAircraftTypeBagTractorBeltLoadersCateringTruckFuelTruckAircraftTractorLavatoryTruckContainerLoaderCargoLoaderPassengerStandGeneratorGPUHydrantTruckWaterTruckCargoUPS 75760 5 70 70UPS 757 60 5 70 70UPS A300 80 5 80 80SOO 747 60 5 90 90ABX 767 25 5 40 40CommuterDL CRJ7 17 23 10 5DL CRJ7 16 21 9 5DL CRJ7 18 25 14 5NW CRJ6 7 23 12 9NW CRJ6 6 20 11 8NW CRJ6 6 23 9 8BTA EMB145 18 13 11 5 7 2BTA EMB145 16 12 10 5 7 3BTA EMB145 17 11 11 5 6 3BTA EMB145 19 12 11 5 6 3BTA EMB145 15 11 12 5 6 2BTA EMB145 18 12 12 4 7 3General AviationFBO Cit III 20 20FBO Avanti 17 25FBO Cit XL 30 30FBO Cit XL 26 25FBO Ces 340 11 15FBO Cit XL 25 15Notes: All observations in minutes. Only fuel trucks/carts modeled for COA and SWA. Based on available information, it was assumed that 80% of fueltrucks were owned/operated by COA in 2005.In future years, COA will own/operate 100%of the fuel truck fleet. In 2005, Atlantic Aviation provided fueltrucks for SWA. In future scenarios, SWA owns and operates their own fuel trucks and thus wasn’t included as part of the emissions inventory in the futureHAS608C-4Table C-2TIME IN MODE SURVEY AT HOUHAS Emissions Inventory StudyOperatorAircraftTypeBagTractorBeltLoadersCateringTruckFuelTruckAircraftTractorLavatoryTruckContainerLoaderCargoLoaderPassengerStandGeneratorGPUHydrantTruckWaterTruckNarrow bodyWN 737 10WN 737 12ATA 717 15 17 5 3WN 737 12ATA 717 18 24 15 4WN 737 12DL MD 82 10 30 9 6ATA 717 17 23 7 4WN 737-3 4WN 737-7 8WN 737-3 9WN 737-3 12WN 737-7 9WN 737-7 8CommuterDL EMB 170 10 21 8 4DL EMB 170 13 25 7 4AA RJ200 11 24 8 5General AviationFBO Cit II 10 1FBO Gulf IV 13 3 31FBO Gulf V 16FBO King 19 21FBO Cit II 12 15FBO Hawk800 12 41Notes: All observations in minutes. Only fuel trucks/carts modeled for COA and SWA.Based on available information, it was assumed that 80% of fuel truckswere owned/operated by COA in 2005. In future years, COA will own/operate 100% of the fuel truck fleet. In 2005, Atlantic Aviation provided fuel trucks forSWA. In future scenarios, SWA owns and operates their own fuel trucks and thus wasn’tincluded as part of the emissions inventory in the future

### HAS608 

# C-5 For GPU, annual hourly usage for 2005 was obta ined from HAS staff. The annual usage

was divided by the total number of pass enger and cargo operations to obtain the

average GPU usage per operation. Table C-3 shows the GPU usage at IAH.

Table C-3

**GPU USAGE AT IAH**

HAS Emissions Inventory Study



# GSE Category Annual

Total GPU Usage 23,059

Total Commercial + Cargo Operations 530,585

GPU Usage per operation 2.5 minutes



# C.2.2 GSE EQUIPMENT TYPES

For each GSE category, the default GSE eq uipment type in EDMS was used to model

emissions. Table C-4 shows the equipmen t size and emission parameters of the

representative GSE equipment types for each GSE category. The equipment size and

emission parameters are the defaults in EDMS.

Table C-4

**GSE EQUIPMENT TYPES**

HAS Emissions Inventory Study

GSE Category Equipment Horse Power Load Factor

Bag Tug Stewart & Stevenson TUG MA 50 107.0 55%

Belt Loaders Stewart & Stevenson TUG 660 107.0 50%

Catering Truck Hi-Way F650 210.0 53%

Fuel Truck Dukes Transportation Services /

DART 8000 to 10,000 gallon 300.0 25%

Push Back Tugs Stewart & Stevenson TUG T-750 475.0 80%

Lavatory Trucks Stewart & Stevenson TUG T-750 235.0 25%

Container Loaders FMC Commander 30 133.0 50%

Cargo Loader FMC Commander 15 80.0 50%

Air Stewart & Stevenson TUG MA 50 65.0 57%

Generator Unknown 158.0 50%

GPU Wollard TLS-770 / F350 71.0 75%

Fuel Cart Wollard CMPS170 / CMPS228 235.0 70%

Water Truck Stewart & Stevenson TUG 660 50.0 20%

### HAS608 

# C-6 **C.3 GSE ACTIVITY BEYOND THE VICINITY OF THE AIRCRAFT** 

**C.3.1 Distance Survey**

A distance survey was conducted to determine the distance traveled by different GSE

types beyond the vicinity of the aircraft. On ly the following GSE types were determined

to have significant emissions beyond the vicinity of the aircraft and were quantified:

• 

# Push Back Tugs

• 

# Belt Loaders

• 

# Bag Tugs

• 

# Fuel Trucks

The typical activities away from the aircraft are (1) bag tug distance from aircraft to

aircraft transfer of bags (2) fuel truck trips to fueling tanks and back (3) push back tugs

distance from the gate to the point on the taxiway/apron area where the aircraft was

released. The average distances are shown in section 5 of the report. The distance was

then quantified into an average usage in ho urs based on an average travel speed, which

was assumed to be 10 mph.

For fuel trucks, annual mileage for each truc k was obtained from HAS staff. The values

for each vehicle were added to get the total annual mileage. The mileage was converted

to annual hours of equipment usage based on an average speed of 10 mph. Table C-5

and C-6 shows the annual mileage data obtained from HAS for IAH and HOU.

### HAS608 

# C-7 Table C-5

**FUEL TRUCK MILEAGE AT IAH**

HAS Emissions Inventory Study



# Fixed Based Operator Vehicle Type Fuel Type Annual

Mileage

(miles)

Landmark Aviation Freightliner Diesel 720

Landmark Aviation Inter Diesel 720

Landmark Aviation Ramp Master Diesel 720

Atlantic Aviation Inter Diesel 800

Atlantic Aviation Inter Diesel 800

Atlantic Aviation Ford Diesel 800

Atlantic Aviation Ford Diesel 800

Atlantic Aviation Volvo Diesel 800

Allied Aviation Volvo Diesel 12,905

Allied Aviation Volvo Diesel 12,905

Allied Aviation International Diesel 720

Allied Aviation GMC Diesel 720

Allied Aviation Sterling Diesel 720

Allied Aviation Dart Diesel 720

Allied Aviation Dart Diesel 720

Allied Aviation Dart Diesel 12,905

Allied Aviation Ford Diesel 720

Allied Aviation Ford Diesel 720

Allied Aviation Ford Diesel 720

Allied Aviation Isuzu Diesel 720

### HAS608 

# C-8 Table C-6

**FUEL TRUCK MILEAGE AT HOU**

HAS Emissions Inventory Study



# Fixed Based Operator Vehicle Type Fuel Type Annual

Mileage

(miles)

Million Air Sterling Diesel 3,000

Million Air Sterling Diesel 3,000

Million Air Sterling Diesel 3,000

Million Air Isuzu Diesel 3,000

Wilson Aviation Inter Diesel 500

Wilson Aviation Inter Diesel 500

Wilson Aviation Inter Diesel 500

Signature Air Ford Diesel 750

Signature Air Ford Diesel 750

Signature Air Ford Diesel 750

Enterprise Aviation Inter Diesel 200

Signature Air Inter Diesel 200

Signature Air Inter Diesel 200

Atlantic Aviation Freightliner Diesel 500

Atlantic Aviation Sterling Diesel 500

Atlantic Aviation Ford Diesel 500

Million Air Sterling Diesel 3,000

Million Air Sterling Diesel 3,000

Million Air Sterling Diesel 3,000



# The ozone season weekday mileage for fuel trucks was derived from the annual

mileage based on the proportion of commerc ial scheduled operations occurring during

that time period.

# Appendix D

**ESTIMATION OF EMISSIONS FROM PARKING FACILITIES**

**AND TERMINAL CURBSIDES**

### HAS608 

# D-1 

# Appendix D

**ESTIMATION OF EMISSIONS FR OM PARKING FACILITIES AND** 

**TERMINAL CURBSIDES**

**D.1 INTRODUCTION**

This appendix provides a detailed explanatio n of the concepts, methodology, and data

inputs used in estimating emissions from vehicular activity in on-airport parking lots

for the development of the 8-hour ozone SIP for the Houston-Galveston-Brazoria (HGB)

nonattainment area. All on-airport parking facilities, including public and employee

lots, were accounted for.

**D.2 PARKING TRAFFIC VOLUMES**

**D.2.1 Public Parking Lots**

Daily parking counts for the year 2005 were obtained from New South Parking—the

private operator managing public parking lot operations at IAH. This was aggregated

to annual (365-day) and ozone season (197-day) counts.

Figure D-1

**2005 ANNUAL PUBLIC PARKING LOT TRAFFIC AT IAH**

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

A

‐ B Garage C West Garage C East Garage D/E Garage City Economy Lot

### HAS608 

# D-2 Figure D-2

**2005 OZONE SEASON WEEKDAY PUBLIC PARKING LOT TRAFFIC AT IAH** 

Figure D-3

**2005 ANNUAL PUBLIC PARKING LOT TRAFFIC AT HOU** 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000

Mar Apr May Jun Jul Aug Sep Oct Nov

A

‐ B Garage C West Garage C East Garage D/E Garage City Economy Lot

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Economy Lot Long Term Garage Short Term Garage

### HAS608 

# D-3 Figure D-4

**2005 OZONE SEASON WEEKDAY PARKING LOT TRAFFIC AT HOU**



# D.2.2 Employee Parking Lots

24-hour parking counts were conducted for one weekday in October 2008 for the bigger

parking lots. It was assumed that other parking lots had similar parking activity

relative to capacity. This ratio was applied to the total number of parking spaces to

obtain parking activity for the other lots. Annual and ozone season parking counts

were estimated by multiplying the daily counts w ith number of days in an annual and

ozone season, respectively. 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000

Mar Apr May Jun Jul Aug Sep Oct Nov

Economy Lot Long Term Garage Short Term Garage

### HAS608 

# D-4 Table D-1

**DAILY EMPLOYEE PARKING LOT EN TRANCES AND EXITS AT IAH** 

HAS Emissions Inventory Study



# Parking Lot 24 hour Count Number of Parking

Spaces

Terminal A Rooftop 2,176 (a) 758

Terminal A West 459 (b) 160

Terminal B East 765 (b) 289

Terminal B Rooftop 1,978 (a) 747

(a) 24 hour tube count for one weekday in October 2008.

(b) Estimated based on parking occupancy/counts at other lots.

Table D-2

**DAILY EMPLOYEE PARKING LOT EN TRANCES AND EXITS AT HOU** 

HAS Emissions Inventory Study



# Parking Lot 24 hour Count (a)

Cargo Lot 2 1,125

Employee Lot 1 2,182

Management Lot 499

Source: 24 hour tube count for one weekday

in October 2008.

### HAS608 

# D-5 Table D-3

**DAILY EMPLOYEE PARKING LOT EN TRANCES AND EXITS AT EFD** 

HAS Emissions Inventory Study



# Parking Lot Daily Total

HAS Airport Services 72 (b)

HAS Multi-tenant Parking 1355 (b)

HAS Parking Lot 230 (b)

Military Joint Reservation 19 (b)

NASA Lot 344 (b)

NASA Main Lot 172 (b)

NASA North Lot 316 (b)

Southwest Lot 30 (a)

Texas ANG Lot 100 (a)

Volo Aviation 0

(a) Source: Daily total obtained from HAS

(b) Estimated based on parking occupancy/counts at other lots.



# D.2.3 Rental Car Lots

The emission generating vehicular activity at re ntal car parking lots comes from rental

cars and shuttles. At IAH, 24-hour parking counts were done for one weekday in

October 2008 to determine daily rental car and shuttle bus activity at the consolidated

rental car facility. There were 18,560 rental cars and 1,375 shuttle bus trips daily.

At HOU, only on-airport rental car lots are in cluded in the inventory. The rental car

activity was derived from daily transactions for the three on-Airport rental car lots. The

shuttle trips were derived from the peak hour numbers from the 2003 HOU Master

Plan. A total of 75 shuttle trips take place in the peak hour. It was assumed that trips are

divided evenly among the six rental car operators (3 on-airport and remaining offairport). The shuttles were assumed to operate for 14 hours a day. The daily count was

annualized by multiplying by 365 days in the year.

### HAS608 

# D-6 Table D-4

**DAILY RENTAL CAR PARKING LOT TRAFFIC AT HOU**

HAS Emissions Inventory Study



# Parking Lot 24 hour Count

Avis Rental Car 300 (a)

Avis Shuttle 187 (b)

Budget Rental Car 200 (a)

Budget Shuttle 187 (b)

National Rental Car 150 (a)

National Shuttle 187 (b)

(a) Daily transaction from 2003 HOU Master Plan.

(b) Peak hour volumes from 2003 HOU Master Plan.



# D.2.4 Taxicab Lot

Monthly data for taxicab trips at HOU were ob tained from the Airport. The monthly

data was totaled to get annual trips for 2005. Figure D-5 shows the monthly taxicab

trips for 2005.

Figure D-5

**2005 ANNUAL TAXICAB LOT TRAFFIC AT HOU**

‐ 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000

Janu r ary

Fe

b

ruar y March

A p ri

l May

J u

ne July August

Sep t emb er Oct ob

er November

D

ecember

### HAS608 

# D-7 **D.3 COMPUTATION OF PARKIN G/CURBSIDE EMISSION FACTORS** 

To account for local air quality agency inpu t requirements (i.e., local temperatures and

Inspection Maintenance programs, among othe rs), the latest version of MOBILE6.2 was

used outside EDMS to calculate speed-depen dant emission factors for on-road motor

vehicles in Harris County. MOBILE6.2 uses average vehicle travel speed and vehicle

class distribution data to produce emission factors in units of grams per vehicle-mile for

CO, VOCs, NOx, SO

2 

# , PM

10 

# , and PM

2.5 

# .

Speed-dependant emission factors were co mputed for various speeds for use on the

parking facilities at each of the airports. Emission factors were developed separately for

calendar years 2005, 2011, 2014, 2017, and 2018.

Passenger vehicles were modeled as a mixtur e of Light Duty Gas Vehicles (LDGV),

Light Duty Gas Trucks (LDGT), and Light Du ty Diesel Vehicles (LDDV). Shuttle vans

were modeled as Light Duty Diesel Truck (LDDT) 2.

Emission factors were input into EDMS in grams/vehicle. Emission factors from

MOBILE6.2 were transformed into grams/vehicle based on a combination of idle time

emission factor and the emission factor asso ciated with the average speed of vehicles in

the parking lot. The parking emission fac tors for IAH, HOU and EFD are shown in

Table D-5 through D-9, D-10 through D-14 and D-15 through D-19, respectively.

The equation shown below was used to transform emission factors (in grams per

vehicle-mile) obtained from MOBILE 6.2 into those used by EDMS for parking facilities

(in grams per vehicle).

EF

p,f 

# = the emission factor for pollutant, p , (in grams per vehicle) for facility, f

d

f 

# = distance (in meters) the average vehicle travels within facility, f

,

EF

p,speed,f 

# = the emission factor for pollutant, p, (in grams per vehicle-mile) for

vehicles traveling at the speed specified for facility, f

t

f 

# = time (in minutes) the average vehicle spends idling in facility, f

EF

p,2.5 

# = the emission factor for pollutant, p, (in grams per vehicle-mile) for

vehicles traveling at 2.5 miles per hour

1,609.344 = the number of meters per mile (exact)

2.5 = the speed (in miles per hour) at which the idle emission factor is

modeled

60 = the number of minutes in an hourHAS608D-8Table D-5a**2005 PARKING EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5A-B GarageLight Duty Vehicle10 639 1.505.21180.80880.51390.0079 0.0121 0.0058Air Cargo 1 Buses Transit Bus10 638 1.505.61420.566210.40750.2503 0.1176 0.0996Air Cargo 1 Trucks Heavy Duty Diesel Truck 10 638 1.504.52730.63338.68880.1657 0.1176 0.0996Air Cargo 2 Buses Transit Bus10 625 1.505.52620.556910.23520.2459 0.1156 0.0979Air Cargo 2 Trucks Heavy Duty Diesel Truck 10 625 1.504.45630.62298.54390.1628 0.1156 0.0979Air Cargo Lot 1 Light Duty Vehicle10 638 1.505.20640.80820.51330.0079 0.0121 0.0058Air Cargo Lot 2 Light Duty Vehicle10 625 1.505.13120.79890.50500.0078 0.0119 0.0057C East Garage Light Duty Vehicle10 732 1.505.75960.87620.57460.0090 0.0137 0.0066C West Garage Light Duty Vehicle10 1003 1.507.35301.07210.75110.0119 0.0181 0.0087City Economy Lot Light Duty Vehicle10 1015 1.507.42291.08070.75890.0120 0.0183 0.0088City Economy Shuttle LightDuty Diesel Truck 10 2145 4.002.39931.19571.86730.1194 0.2626 0.2246Continental Lot Light Duty Vehicle10 1097 1.507.90451.13990.81220.0129 0.0197 0.0095Continental Shuttle Light Duty Diesel Truck 10 1692 2.001.77290.89191.39580.09030.19870.1700CRC CenterLight Duty Vehicle10 2229 1.5014.55371.95761.54900.0250 0.0382 0.0184CRC ShuttleTransit Bus10 250 4.004.99460.46158.22330.1756 0.0825 0.0699D/E GarageLight Duty Vehicle10 886 1.506.66200.98720.67460.0106 0.0162 0.0078Terminal A Rooftop Light Duty Vehicle10 823 1.506.29320.94180.63370.0099 0.0152 0.0073Terminal A West Light Duty Vehicle10 259 1.502.98110.53450.26670.0039 0.0059 0.0028Terminal B East Light Duty Vehicle10 382 1.503.70080.62300.34650.0052 0.0079 0.0038Terminal B Rooftop Light Duty Vehicle10 823 1.506.29320.94180.63370.0099 0.0152 0.0073Misc Parking Light Duty Vehicle10 1062 1.507.69771.11450.78930.0125 0.0191 0.0092HAS608D-9Table D-5b**2005 TERMINAL CURBSIDES EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Terminal CurbsideVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Terminal A Arrivals Auto/TaxiLight Duty Vehicle 10 366 4.936.94361.40570.56050.0075 0.0114 0.0055Terminal A Arrivals Shuttles Light Duty Diesel Truck 10 366 1.583.81080.37546.84500.1599 0.0752 0.0637Terminal B Arrivals Auto/TaxiLight Duty Vehicle 10 305 4.926.57401.35890.52000.0068 0.0104 0.0050Terminal B Arrivals Shuttles Light Duty Diesel Truck 10 305 1.503.32640.32575.92770.1375 0.0646 0.0547Terminal C Arrivals Auto/Taxi Light Duty Vehicle 10 518 4.937.84121.51640.65980.0091 0.0139 0.0067Terminal C Arrivals Shuttles Light Duty Diesel Truck 10 518 2.165.33040.52599.59590.2247 0.1056 0.0894Terminal D Arrivals Auto/TaxiLight Duty Vehicle 10 259 4.876.25521.31390.48690.0063 0.0096 0.0046Terminal D Arrivals Shuttles Light Duty Diesel Truck 10 259 1.923.35480.32215.82080.1315 0.0618 0.0523Terminal E Arrivals Auto/TaxiLight Duty Vehicle 10 168 4.875.71791.24780.42740.0053 0.0081 0.0039Terminal E Arrivals Shuttles Light Duty Diesel Truck 10 168 2.333.06190.28485.08800.1098 0.0516 0.0437Terminal A Departures Auto/Taxi Light Duty Vehicle 10 91 2.843.30410.72480.24560.0030 0.0046 0.0022Terminal A Departures ShuttlesLight Duty Diesel Truck 10 91 1.341.72350.15992.85440.0614 0.0288 0.0244Terminal B Departures Auto/Taxi Light Duty Vehicle 10 122 2.843.48180.74650.26530.0034 0.0051 0.0025Terminal B Departures ShuttlesLight Duty Diesel Truck 10 122 1.341.93300.18193.26460.0717 0.0337 0.0285Terminal C Departures Auto/Taxi Light Duty Vehicle 10 274 2.854.38310.85800.36490.0050 0.0076 0.0037Terminal C Departures ShuttlesLight Duty Diesel Truck 10 274 1.242.90220.28535.19910.1212 0.0569 0.0482Terminal D Departures Auto/Taxi Light Duty Vehicle 10 137 2.853.57980.75950.27580.0035 0.0054 0.0026Terminal D Departures ShuttlesLight Duty Diesel Truck 10 137 1.662.29910.21543.85730.0841 0.0395 0.0335Terminal E Departures Auto/Taxi Light Duty Vehicle 10 183 2.853.84640.79200.30540.0040 0.0061 0.0030Terminal E Departures ShuttlesLight Duty Diesel Truck 10 183 1.212.24930.21723.93260.0895 0.0421 0.0356HAS608D-10Table D-6a**2011 PARKING EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5A-B GarageLight Duty Vehicle10 639 1.504.69140.54620.34020.0039 0.0115 0.0053Air Cargo 1 Buses Transit Bus10 638 1.503.04480.28716.68350.0073 0.0527 0.0392Air Cargo 1 Trucks Heavy Duty Diesel Truck 10 638 1.502.27320.42994.32100.0049 0.0527 0.0392Air Cargo 2 Buses Transit Bus10 625 1.502.99700.28246.57290.0072 0.0518 0.0385Air Cargo 2 Trucks Heavy Duty Diesel Truck 10 625 1.502.23750.42294.24920.0048 0.0518 0.0385Air Cargo Lot 1 Light Duty Vehicle10 638 1.504.68660.54570.33980.0039 0.0115 0.0053Air Cargo Lot 2 Light Duty Vehicle10 625 1.504.61900.53920.33430.0038 0.0113 0.0052C East Garage Light Duty Vehicle10 732 1.505.18410.59410.38040.0044 0.0129 0.0060C West Garage Light Duty Vehicle10 1003 1.506.61680.73320.49750.0058 0.0171 0.0079City Economy Lot Light Duty Vehicle10 1015 1.506.67960.73930.50260.0059 0.0173 0.0080City Economy Shuttle LightDuty Diesel Truck 10 2145 4.001.32100.56470.63930.0033 0.0907 0.0661Continental Lot Light Duty Vehicle10 1097 1.507.11270.78140.53800.0063 0.0186 0.0086Continental Shuttle Light Duty Diesel Truck 10 1692 2.000.97640.42140.47790.00250.06860.0500CRC CenterLight Duty Vehicle10 2229 1.5013.09161.36221.02650.0123 0.0362 0.0166CRC ShuttleTransit Bus10 250 4.002.70880.23405.28320.0052 0.0370 0.0275D/E GarageLight Duty Vehicle10 886 1.505.99540.67290.44670.0052 0.0153 0.0070Terminal A Rooftop Light Duty Vehicle10 823 1.505.66380.64070.41960.0049 0.0143 0.0066Terminal A West Light Duty Vehicle10 259 1.502.68560.35140.17630.0019 0.0056 0.0026Terminal B East Light Duty Vehicle10 382 1.503.33270.41420.22920.0025 0.0075 0.0034Terminal B Rooftop Light Duty Vehicle10 823 1.505.66380.64070.41960.0049 0.0143 0.0066Misc Parking Light Duty Vehicle10 1062 1.506.92680.76330.52280.0061 0.0181 0.0083HAS608D-11Table D-6b**2011 TERMINAL CURBSIDES EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Terminal CurbsideVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Terminal A Arrivals Auto/TaxiLight Duty Vehicle 10 366 1.586.2601 0.9055 0.36980.0037 0.0108 0.0050Terminal A Arrivals Shuttles Light Duty Diesel Truck 10 305 4.922.0667 0.1904 4.39630.0047 0.0337 0.0250Terminal B Arrivals Auto/TaxiLight Duty Vehicle 10 305 1.505.9278 0.8725 0.34300.0034 0.0099 0.0045Terminal B Arrivals Shuttles Light Duty Diesel Truck 10 518 4.931.8040 0.1652 3.80720.0040 0.0290 0.0215Terminal C Arrivals Auto/Taxi Light Duty Vehicle 10 518 2.167.0674 0.9841 0.43570.0045 0.0132 0.0061Terminal C Arrivals Shuttles Light Duty Diesel Truck 10 259 4.872.8909 0.2667 6.16300.0066 0.0473 0.0352Terminal D Arrivals Auto/TaxiLight Duty Vehicle 10 259 1.925.6411 0.8415 0.32100.0031 0.0091 0.0042Terminal D Arrivals Shuttles Light Duty Diesel Truck 10 168 4.871.8194 0.1633 3.73890.0039 0.0277 0.0206Terminal E Arrivals Auto/TaxiLight Duty Vehicle 10 168 2.335.1584 0.7947 0.28160.0026 0.0077 0.0035Terminal E Arrivals Shuttles Light Duty Diesel Truck 10 91 2.841.6605 0.1444 3.26880.0032 0.0231 0.0172Terminal A Departures Auto/Taxi Light Duty Vehicle 10 91 1.342.9798 0.4610 0.16170.0015 0.0044 0.0020Terminal A Departures ShuttlesLight Duty Diesel Truck 10 122 2.840.9347 0.0811 1.83380.0018 0.0129 0.0096Terminal B Departures Auto/Taxi Light Duty Vehicle 10 122 1.343.1414 0.4767 0.17490.0017 0.0049 0.0022Terminal B Departures ShuttlesLight Duty Diesel Truck 10 274 2.851.0483 0.0923 2.09720.0021 0.0151 0.0112Terminal C Departures Auto/Taxi Light Duty Vehicle 10 274 1.243.9513 0.5557 0.24090.0025 0.0072 0.0033Terminal C Departures ShuttlesLight Duty Diesel Truck 10 137 2.851.5739 0.1447 3.33920.0036 0.0255 0.0190Terminal D Departures Auto/Taxi Light Duty Vehicle 10 137 1.663.2282 0.4856 0.18180.0017 0.0051 0.0023Terminal D Departures ShuttlesLight Duty Diesel Truck 10 183 2.851.2469 0.1092 2.47800.0025 0.0177 0.0132Terminal E Departures Auto/Taxi Light Duty Vehicle 10 183 1.213.4679 0.5088 0.20140.0020 0.0058 0.0027Terminal E Departures ShuttlesLight Duty Diesel Truck 10 366 1.581.2199 0.1101 2.52600.0026 0.0189 0.0140HAS608D-12Table D-7a**2014 PARKING EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5A-B GarageLight Duty Vehicle10 639 1.504.12170.42330.25880.0040 0.0114 0.0052Air Cargo 1 BusesTransit Bus10 638 1.502.16970.26194.62890.0073 0.0371 0.0249Air Cargo 1 TrucksHeavy Duty Diesel Truck 10 638 1.501.56690.37683.00070.0049 0.0371 0.0249Air Cargo 2 BusesTransit Bus10 625 1.502.13570.25764.55230.0072 0.0365 0.0244Air Cargo 2 TrucksHeavy Duty Diesel Truck 10 625 1.501.54230.37062.95090.0048 0.0365 0.0244Air Cargo Lot 1Light Duty Vehicle10 638 1.504.11740.42300.25850.0039 0.0114 0.0052Air Cargo Lot 2Light Duty Vehicle10 625 1.504.05790.41780.25430.0039 0.0112 0.0051C East GarageLight Duty Vehicle10 732 1.504.55520.46090.28940.0044 0.0128 0.0058C West GarageLight Duty Vehicle10 1003 1.505.81590.57010.37830.0059 0.0170 0.0078City Economy LotLight Duty Vehicle10 1015 1.505.87120.57490.38220.0060 0.0172 0.0078City Economy ShuttleLightDuty Diesel Truck 10 2145 4.001.11720.38330.37610.0033 0.0681 0.0453Continental LotLight Duty Vehicle10 1097 1.506.25220.60790.40910.0064 0.0185 0.0084Continental ShuttleLight Duty Diesel Truck 10 1692 2.000.82570.28600.28120.0025 0.05150.0343CRCCenterLight Duty Vehicle10 2229 1.5011.51351.06360.78050.0125 0.0359 0.0164CRC ShuttleTransit Bus10 250 4.001.93030.21353.66110.0052 0.0261 0.0175D/E GarageLight Duty Vehicle10 886 1.505.26910.52270.33970.0053 0.0152 0.0069Terminal A RooftopLight Duty Vehicle10 823 1.504.97730.49740.31910.0049 0.0142 0.0065Terminal A WestLight Duty Vehicle10 259 1.502.35660.27040.13420.0019 0.0055 0.0025Terminal B EastLight Duty Vehicle10 382 1.502.92610.31980.17440.0026 0.0074 0.0034Terminal B RooftopLight Duty Vehicle10 823 1.504.97730.49740.31910.0049 0.0142 0.0065Will Clayton Remote ParkingLight Duty Vehicle10 964 1.505.63130.55410.36530.0057 0.0164 0.0075Will Clayton Remote Parking ShuttleLight Duty Diesel Truck 10 2036 4.001.07020.36670.35980.0031 0.0650 0.0432Misc ParkingLight Duty Vehicle10 1062 1.506.08870.59370.39760.0062 0.0179 0.0082HAS608D-13Table D-7b**2014 TERMINAL CURBSIDES EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Terminal CurbsideVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Terminal A Arrivals Auto/TaxiLight Duty Vehicle 10 366 4.935.48690.69310.28160.0037 0.0107 0.0049Terminal A Arrivals Shuttles Light Duty Diesel Truck 10 366 1.581.47280.17363.04520.0047 0.0237 0.0159Terminal B Arrivals Auto/TaxiLight Duty Vehicle 10 305 4.925.19460.66730.26130.0034 0.0098 0.0045Terminal B Arrivals Shuttles Light Duty Diesel Truck 10 305 1.501.28550.15072.63730.0040 0.0204 0.0137Terminal C Arrivals Auto/Taxi Light Duty Vehicle 10 518 4.936.19760.75480.33170.0045 0.0131 0.0060Terminal C Arrivals Shuttles Light Duty Diesel Truck 10 518 2.162.06000.24334.26890.0066 0.0333 0.0223Terminal D Arrivals Auto/TaxiLight Duty Vehicle 10 259 4.874.94240.64320.24460.0031 0.0090 0.0041Terminal D Arrivals Shuttles Light Duty Diesel Truck 10 259 1.921.29650.14902.59030.0039 0.0195 0.0131Terminal E Arrivals Auto/TaxiLight Duty Vehicle 10 168 4.874.51790.60640.21460.0026 0.0076 0.0035Terminal E Arrivals Shuttles Light Duty Diesel Truck 10 168 2.331.18330.13172.26510.0032 0.0163 0.0109Terminal A Departures Auto/Taxi Light Duty Vehicle 10 91 2.842.61020.35180.12330.0015 0.0043 0.0020Terminal A Departures ShuttlesLight Duty Diesel Truck 10 91 1.340.66610.07401.27080.0018 0.0091 0.0061Terminal B Departures Auto/Taxi Light Duty Vehicle 10 122 2.842.75140.36400.13330.0017 0.0048 0.0022Terminal B Departures ShuttlesLight Duty Diesel Truck 10 122 1.340.74700.08421.45310.0021 0.0106 0.0071Terminal C Departures Auto/Taxi Light Duty Vehicle 10 274 2.853.46520.42620.18350.0025 0.0072 0.0033Terminal C Departures ShuttlesLight Duty Diesel Truck 10 274 1.241.12160.13202.31300.0036 0.0180 0.0120Terminal D Departures Auto/Taxi Light Duty Vehicle 10 137 2.852.82780.37100.13850.0018 0.0051 0.0023Terminal D Departures ShuttlesLight Duty Diesel Truck 10 137 1.660.88850.09961.71710.0025 0.0125 0.0084Terminal E Departures Auto/Taxi Light Duty Vehicle 10 183 2.853.03970.38930.15350.0020 0.0058 0.0026Terminal E Departures ShuttlesLight Duty Diesel Truck 10 183 1.210.86930.10051.74990.0026 0.0133 0.0089HAS608D-14Table D-8a**2017 PARKING EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Air Cargo 1 BusesTransit Bus10 638 1.501.4982 0.2490 2.97960.0073 0.0275 0.0161Air Cargo 1 TrucksHeavy Duty Diesel Truck 10 638 1.501.1380 0.3360 1.92150.0049 0.0275 0.0161Air Cargo 2 BusesTransit Bus10 625 1.501.4747 0.2449 2.93030.0072 0.0271 0.0158Air Cargo 2 TrucksHeavy Duty Diesel Truck 10 625 1.501.1201 0.3305 1.88960.0048 0.0271 0.0158Air Cargo Lot 1Light Duty Vehicle 10 638 1.503.7975 0.3609 0.21000.0040 0.0114 0.0052Air Cargo Lot 2Light Duty Vehicle 10 625 1.503.7426 0.3565 0.20660.0039 0.0112 0.0051City Economy LotLight Duty Vehicle 10 1015 1.505.4167 0.4901 0.31050.0060 0.0172 0.0078City Economy ShuttleLightDuty Diesel Truck 10 2145 4.001.0354 0.3002 0.27140.0033 0.0550 0.0333Continental LotLight Duty Vehicle 10 1097 1.505.7685 0.5182 0.33230.0065 0.0185 0.0084Continental ShuttleLight Duty Diesel Truck 10 1692 2.000.7651 0.2240 0.20280.0025 0.0416 0.0252CRC CenterLight Duty Vehicle 10 2229 1.5010.6259 0.9060 0.63370.0126 0.0359 0.0164CRC ShuttleTransit Bus10 250 4.001.3329 0.2029 2.35760.0052 0.0193 0.01138-Story Parking GarageLight Duty Vehicle 10 1200 1.506.2093 0.5534 0.35970.0070 0.0200 0.0091Will Clayton Remote ParkingLight Duty Vehicle 10 964 1.505.1952 0.4725 0.29680.0058 0.0164 0.0075Will Clayton Remote Parking Shuttle Light Duty Diesel Truck 102036 4.00 0.9918 0.28720.2595 0.0031 0.0525 0.0318HAS608D-15Table D-8b**2017 TERMINAL CURBSIDES EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Terminal CurbsideVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Terminal A Arrivals Auto/TaxiLight Duty Vehicle 10 366 4.935.05310.59310.22940.0038 0.0107 0.0049Terminal A Arrivals Shuttles Light Duty Diesel Truck 10 366 1.581.01700.16511.96040.0047 0.0176 0.0103Terminal B Arrivals Auto/TaxiLight Duty Vehicle 10 305 4.924.78350.57110.21290.0034 0.0098 0.0045Terminal B Arrivals Shuttles Light Duty Diesel Truck 10 305 1.500.88770.14321.69780.0040 0.0151 0.0088Terminal C Arrivals Auto/Taxi Light Duty Vehicle 10 518 4.935.70920.64560.27010.0046 0.0131 0.0060Terminal C Arrivals Shuttles Light Duty Diesel Truck 10 518 2.161.42250.23132.74820.0066 0.0247 0.0144Terminal D Arrivals Auto/TaxiLight Duty Vehicle 10 259 4.874.55060.55050.19930.0032 0.0090 0.0041Terminal D Arrivals Shuttles Light Duty Diesel Truck 10 259 1.920.89530.14161.66770.0039 0.0145 0.0084Terminal E Arrivals Auto/TaxiLight Duty Vehicle 10 168 4.874.15870.51930.17500.0027 0.0076 0.0035Terminal E Arrivals Shuttles Light Duty Diesel Truck 10 168 2.330.81710.12521.45860.0032 0.0121 0.0070Terminal A Departures Auto/Taxi Light Duty Vehicle 10 91 2.842.40260.30130.10050.0015 0.0043 0.0020Terminal A Departures ShuttlesLight Duty Diesel Truck 10 91 1.340.45990.07030.81830.0018 0.0068 0.0039Terminal B Departures Auto/Taxi Light Duty Vehicle 10 122 2.842.53280.31160.10860.0017 0.0048 0.0022Terminal B Departures ShuttlesLight Duty Diesel Truck 10 122 1.340.51580.08000.93570.0021 0.0079 0.0046Terminal C Departures Auto/Taxi Light Duty Vehicle 10 274 2.853.19190.36450.14940.0025 0.0072 0.0033Terminal C Departures ShuttlesLight Duty Diesel Truck 10 274 1.240.77450.12541.48910.0036 0.0133 0.0078Terminal D Departures Auto/Taxi Light Duty Vehicle 10 137 2.852.60330.31750.11290.0018 0.0051 0.0023Terminal D Departures ShuttlesLight Duty Diesel Truck 10 137 1.660.61350.09471.10560.0025 0.0093 0.0054Terminal E Departures Auto/Taxi Light Duty Vehicle 10 183 2.852.79930.33320.12510.0020 0.0058 0.0026Terminal E Departures ShuttlesLight Duty Diesel Truck 10 183 1.210.60030.09551.12660.0026 0.0098 0.0057HAS608D-16Table D-9a**2018 PARKING EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Air Cargo 1 BusesTransit Bus10 638 1.501.2548 0.2450 2.39570.0073 0.0256 0.0142Air Cargo 1 TrucksHeavy Duty Diesel Truck 10 638 1.500.9907 0.3243 1.54200.0049 0.0256 0.0142Air Cargo 2 BusesTransit Bus10 625 1.501.2352 0.2410 2.35600.0072 0.0251 0.0140Air Cargo 2 TrucksHeavy Duty Diesel Truck 10 625 1.500.9751 0.3190 1.51640.0048 0.0251 0.0140Air Cargo Lot 1Light Duty Vehicle10 638 1.502.4227 0.2714 0.12170.0040 0.0115 0.0052Air Cargo Lot 2Light Duty Vehicle10 625 1.502.3872 0.2682 0.11970.0039 0.0113 0.0051City Economy LotLight Duty Vehicle10 1015 1.503.4691 0.3642 0.17970.0060 0.0174 0.0078City Economy ShuttleLightDuty Diesel Truck 10 2145 4.001.0323 0.2941 0.24880.0033 0.0523 0.0307Continental LotLight Duty Vehicle10 1097 1.503.6965 0.3843 0.19220.0065 0.0187 0.0084Continental ShuttleLight Duty Diesel Truck 10 1692 2.000.7628 0.2194 0.18600.0025 0.0396 0.02338-Story Parking GarageLight Duty Vehicle10 1200 1.503.9814 0.4096 0.20800.0070 0.0203 0.0091Will Clayton Remote ParkingLight Duty Vehicle10 964 1.503.3260 0.3515 0.17170.0058 0.0166 0.0075Will Clayton Remote Parking ShuttleLight Duty Diesel Truck 10 2036 4.000.9889 0.2813 0.23800.0031 0.0500 0.0293CRC Center w/ExpansionLight Duty Vehicle10 0 0.007.4542 0.7174 0.40040.0138 0.0398 0.0179CRC Shuttle w/ExpansionLightDuty Diesel Truck 10 638 1.501.1548 0.2075 1.9723 0.0054 0.0188 0.0105HAS608D-17Table D-9b**2018 TERMINAL CURBSIDES EMISSION FACTORS AT IAH**HAS Emissions Inventory StudyPollutant (grams/vehicle)Terminal CurbsideVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Terminal A Arrivals Auto/TaxiLight Duty Vehicle 10 366 4.933.16150.46630.13390.0038 0.0109 0.0049Terminal A Arrivals Shuttles Light Duty Diesel Truck 10 366 1.580.85180.16241.57610.0047 0.0163 0.0091Terminal B Arrivals Auto/TaxiLight Duty Vehicle 10 305 4.922.98750.45050.12440.0034 0.0099 0.0045Terminal B Arrivals Shuttles Light Duty Diesel Truck 10 305 1.500.74350.14101.36490.0040 0.0140 0.0078Terminal C Arrivals Auto/Taxi Light Duty Vehicle 10 518 4.933.58550.50400.15740.0046 0.0132 0.0060Terminal C Arrivals Shuttles Light Duty Diesel Truck 10 518 2.161.19140.22762.20940.0066 0.0229 0.0128Terminal D Arrivals Auto/TaxiLight Duty Vehicle 10 259 4.872.83810.43530.11650.0032 0.0091 0.0041Terminal D Arrivals Shuttles Light Duty Diesel Truck 10 259 1.920.74990.13941.34060.0039 0.0134 0.0075Terminal E Arrivals Auto/TaxiLight Duty Vehicle 10 168 4.872.58480.41290.10250.0027 0.0077 0.0035Terminal E Arrivals Shuttles Light Duty Diesel Truck 10 168 2.330.68440.12331.17230.0032 0.0112 0.0062Terminal A Departures Auto/Taxi Light Duty Vehicle 10 91 2.841.49250.23970.05890.0015 0.0044 0.0020Terminal A Departures ShuttlesLight Duty Diesel Truck 10 91 1.340.38520.06920.65770.0018 0.00630.0035Terminal B Departures Auto/Taxi Light Duty Vehicle 10 122 2.841.57680.24710.06360.0017 0.0049 0.0022Terminal B Departures ShuttlesLight Duty Diesel Truck 10 122 1.340.43200.07870.75210.0021 0.0073 0.0041Terminal C Departures Auto/Taxi Light Duty Vehicle 10 274 2.852.00250.28510.08710.0025 0.0073 0.0033Terminal C Departures ShuttlesLight Duty Diesel Truck 10 274 1.240.64870.12351.19710.0036 0.0124 0.0069Terminal D Departures Auto/Taxi Light Duty Vehicle 10 137 2.851.62220.25140.06600.0018 0.0051 0.0023Terminal D Departures ShuttlesLight Duty Diesel Truck 10 137 1.660.51390.09320.88870.0025 0.0086 0.0048Terminal E Departures Auto/Taxi Light Duty Vehicle 10 183 2.851.74890.26260.07310.0020 0.0058 0.0026Terminal E Departures ShuttlesLight Duty Diesel Truck 10 183 1.210.50280.09400.90570.0026 0.0091 0.0051HAS608D-18Table D-10**2005 PARKING EMISSION FACTORS AT HOU**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Avis Rental Car Light Duty Vehicle10 332 1.53.4110.5870.3140.0050.0070.003Avis ShuttleLight DutyDiesel Truck 10 332 1.50.4630.2240.3480.0210.0470.04Budget Rental Car Light Duty Vehicle10 199 1.52.6280.4910.2280.0030.0050.002Budget Shuttle Light Duty Diesel Truck 10 186 1.50.3280.1550.2390.0140.0310.027Cargo Lot 2Light Duty Vehicle10 404 1.53.8330.6390.3610.0050.0080.004Economy Lot Light Duty Vehicle10 599 1.54.9750.780.4880.0080.0110.006Employee Lot 1 Light Duty Vehicle10 886 1.56.6640.9870.6750.0110.0160.008Management Lot Light Duty Vehicle10 219 1.52.7430.5050.240.0030.0050.003National Rental Car LightDuty Vehicle10 300 1.53.2230.5640.2940.0040.0070.003National Shuttle Light Duty Diesel Truck 10 405 1.50.5310.2590.4030.0250.0550.047Parking Garage Long Light Duty Vehicle10 405 1.53.840.640.3620.0050.0080.004Parking Garage Short Light Duty Vehicle10 611 1.55.0450.7880.4950.0080.0120.006Taxicab LotLight Duty Vehicle10 757 1.55.9050.8940.5910.0090.0140.007HAS608D-19Table D-11**2011 PARKING EMISSION FACTORS AT HOU**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Avis Rental Car Light Duty Vehicle10 332 1.53.0720.3890.2080.0020.0070.003Avis ShuttleLight DutyDiesel Truck 10 332 1.50.2550.1060.1190.0010.0160.012Budget Rental Car Light Duty Vehicle10 199 1.52.3680.3210.150.0020.0050.002Budget Shuttle Light Duty Diesel Truck 10 186 1.50.180.0730.08200.0110.008Cargo Lot 2Light Duty Vehicle10 404 1.53.4520.4260.2390.0030.0080.004Economy Lot Light Duty Vehicle10 599 1.54.4790.5260.3230.0040.0110.005Employee Lot 1 Light Duty Vehicle10 886 1.55.9970.6730.4470.0050.0150.007Management Lot Light Duty Vehicle10 219 1.52.4710.3310.1590.0020.0050.002National Rental Car LightDuty Vehicle10 300 1.52.9030.3720.1940.0020.0060.003National Shuttle Light Duty Diesel Truck 10 405 1.50.2920.1220.1380.0010.0190.014Parking Garage Long Light Duty Vehicle10 405 1.53.4580.4260.2390.0030.0080.004Parking Garage Short Light Duty Vehicle10 611 1.54.5420.5320.3280.0040.0110.005Taxicab LotLight Duty Vehicle10 757 1.55.3140.6070.3910.0050.0130.006HAS608D-20Table D-12**2014 PARKING EMISSION FACTORS AT HOU**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Avis Rental Car Light Duty Vehicle10 332 1.52.6970.30.1580.0020.0070.003Avis ShuttleLight DutyDiesel Truck 10 332 1.50.2150.0720.070.0010.0120.008Budget Rental Car Light Duty Vehicle10 199 1.52.0780.2460.1140.0020.0050.002Budget Shuttle Light Duty Diesel Truck 10 186 1.50.1520.050.04800.0080.005Cargo Lot 2Light Duty Vehicle10 404 1.53.0310.3290.1820.0030.0080.004Economy Lot Light Duty Vehicle10 599 1.53.9350.4070.2460.0040.0110.005Employee Lot 1 Light Duty Vehicle10 886 1.55.2710.5230.340.0050.0150.007Management Lot Light Duty Vehicle10 219 1.52.1680.2540.1210.0020.0050.002National Rental Car LightDuty Vehicle10 300 1.52.5480.2870.1480.0020.0060.003National Shuttle Light Duty Diesel Truck 10 405 1.50.2470.0830.0810.0010.0140.009Parking Garage Long Light Duty Vehicle10 405 1.53.0370.3290.1820.0030.0080.004Parking Garage Short Light Duty Vehicle10 611 1.53.990.4120.2490.0040.0110.005Taxicab LotLight Duty Vehicle10 757 1.54.670.4710.2970.0050.0130.006HAS608D-21Table D-13**2017 PARKING EMISSION FACTORS AT HOU**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Avis Rental Car Light Duty Vehicle10 332 1.52.4860.2560.1290.0020.0070.003Avis ShuttleLight DutyDiesel Truck 10 332 1.50.20.0560.0510.0010.010.006Budget Rental Car Light Duty Vehicle10 199 1.51.9140.2110.0930.0020.0050.002Budget Shuttle Light Duty Diesel Truck 10 186 1.50.1410.0390.03500.0070.004Cargo Lot 2Light Duty Vehicle10 404 1.52.7940.2810.1480.0030.0080.004Economy Lot Light Duty Vehicle10 599 1.53.6290.3470.20.0040.0110.005Employee Lot 1 Light Duty Vehicle10 886 1.54.8620.4460.2760.0050.0150.007Management Lot Light Duty Vehicle10 219 1.51.9980.2170.0980.0020.0050.002National Rental Car LightDuty Vehicle10 300 1.52.3480.2450.120.0020.0060.003National Shuttle Light Duty Diesel Truck 10 405 1.50.2290.0650.0580.0010.0120.007Parking Garage Long Light Duty Vehicle10 405 1.52.80.2810.1480.0030.0080.004Parking Garage Short Light Duty Vehicle10 611 1.53.680.3510.2030.0040.0110.005Taxicab LotLight Duty Vehicle10 757 1.54.3080.4020.2420.0050.0130.006HAS608D-22Table D-14**2018 PARKING EMISSION FACTORS AT HOU**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5Avis Rental Car Light Duty Vehicle10 332 1.51.5750.1960.0750.0020.0070.003Avis ShuttleLight DutyDiesel Truck 10 332 1.50.1990.0550.0460.0010.0090.006Budget Rental Car Light Duty Vehicle10 199 1.51.2050.1630.0540.0020.0050.002Budget Shuttle Light Duty Diesel Truck 10 186 1.50.1410.0380.03200.0060.004Cargo Lot 2Light Duty Vehicle10 404 1.51.7740.2140.0860.0030.0080.004Economy Lot Light Duty Vehicle10 599 1.52.3140.2620.1160.0040.0110.005Employee Lot 1 Light Duty Vehicle10 886 1.53.1110.3320.160.0050.0150.007Management Lot Light Duty Vehicle10 219 1.51.260.1680.0570.0020.0050.002National Rental Car LightDuty Vehicle10 300 1.51.4860.1880.070.0020.0060.003National Shuttle Light Duty Diesel Truck 10 405 1.50.2280.0640.0540.0010.0110.006Parking Garage Long Light Duty Vehicle10 405 1.51.7780.2140.0860.0030.0080.004Parking Garage Short Light Duty Vehicle10 611 1.52.3470.2650.1170.0040.0110.005Taxicab LotLight Duty Vehicle10 757 1.52.7520.3010.140.0050.0130.006HAS608D-23Table D-15**2005 PARKING EMISSION FACTORS AT EFD**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5HAS Airport Services Light Duty Vehicle 10 53 1.51.7730.3860.1330.0020.0030.001HAS Multi-tenant Parking Light Duty Vehicle 10 73 1.51.8870.40.1460.0020.0030.001HAS Parking LotLight Duty Vehicle 10 173 1.52.4730.4720.210.0030.0040.002Military Joint Reservation Light Duty Vehicle 10 161 1.52.4060.4640.2030.0030.0040.002NASA LotLight Duty Vehicle 10 499 1.54.3880.7080.4230.0060.010.005NASA Main LotLight Duty Vehicle 10 48 1.51.740.3820.1290.0020.0020.001NASA North LotLight Duty Vehicle 10 45 1.51.7240.380.1270.0020.0020.001Southwest LotLight Duty Vehicle 10 202 1.52.6460.4930.230.0030.0050.002Texas ANG LotLight Duty Vehicle 10 250 1.52.9280.5280.2610.0040.0060.003Volo AviationLight Duty Vehicle 10 84 1.51.9530.4080.1530.0020.0030.001HAS608D-24Table D-16**2011 PARKING EMISSION FACTORS AT EFD**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5HAS Airport Services Light Duty Vehicle 10 53 1.51.5990.2460.0880.0010.0020.001HAS Multi-tenant Parking Light Duty Vehicle 10 73 1.51.7020.2560.0960.0010.0030.001HAS Parking LotLight Duty Vehicle 10 173 1.52.2280.3070.1390.0010.0040.002Military Joint Reservation Light Duty Vehicle 10 161 1.52.1690.3010.1340.0010.0040.002NASA LotLight Duty Vehicle 10 499 1.53.9510.4740.280.0030.0090.004NASA Main LotLight Duty Vehicle 10 48 1.51.570.2430.0850.0010.0020.001NASA North LotLight Duty Vehicle 10 45 1.51.5550.2420.0840.0010.0020.001Southwest LotLight Duty Vehicle 10 202 1.52.3850.3220.1520.0020.0050.002Texas ANG LotLight Duty Vehicle 10 250 1.52.6380.3470.1720.0020.0050.003Volo AviationLight Duty Vehicle 10 84 1.51.7620.2620.1010.0010.0030.001HAS608D-25Table D-17**2014 PARKING EMISSION FACTORS AT EFD**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5HAS Airport Services Light Duty Vehicle 10 53 1.51.40.1880.0670.0010.0020.001HAS Multi-tenant Parking Light Duty Vehicle 10 73 1.51.4910.1950.0730.0010.0030.001HAS Parking LotLight Duty Vehicle 10 173 1.51.9540.2360.1060.0010.0040.002Military Joint Reservation Light Duty Vehicle 10 161 1.51.9020.2310.1020.0010.0040.002NASA LotLight Duty Vehicle 10 499 1.53.470.3670.2130.0030.0090.004NASA Main LotLight Duty Vehicle 10 48 1.51.3750.1850.0650.0010.0020.001NASA North LotLight Duty Vehicle 10 45 1.51.3620.1840.0640.0010.0020.001Southwest LotLight Duty Vehicle 10 202 1.52.0920.2470.1150.0020.0050.002Texas ANG LotLight Duty Vehicle 10 250 1.52.3140.2670.1310.0020.0050.002Volo AviationLight Duty Vehicle 10 84 1.51.5430.20.0770.0010.0030.001HAS608D-26Table D-18**2017 PARKING EMISSION FACTORS AT EFD**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5HAS Airport Services Light Duty Vehicle 10 53 1.51.2890.1610.0540.0010.0020.001HAS Multi-tenant Parking Light Duty Vehicle 10 73 1.51.3730.1670.060.0010.0030.001HAS Parking LotLight Duty Vehicle 10 173 1.51.80.2010.0860.0010.0040.002Military Joint Reservation Light Duty Vehicle 10 161 1.51.7520.1980.0830.0010.0040.002NASA LotLight Duty Vehicle 10 499 1.53.20.3130.1730.0030.0090.004NASA Main LotLight Duty Vehicle 10 48 1.51.2660.1590.0530.0010.0020.001NASA North LotLight Duty Vehicle 10 45 1.51.2540.1580.0520.0010.0020.001Southwest LotLight Duty Vehicle 10 202 1.51.9270.2120.0940.0020.0050.002Texas ANG LotLight Duty Vehicle 10 250 1.52.1330.2280.1070.0020.0050.002Volo AviationLight Duty Vehicle 10 84 1.51.4210.1710.0630.0010.0030.001HAS608D-27Table D-19**2018 PARKING EMISSION FACTORS AT EFD**HAS Emissions Inventory StudyPollutant (grams/vehicle)Parking GarageVehicle TypeSpeed(mph)Distance(meters)Idle Time(mins)COVOCNOxSOxPM10PM2.5HAS Airport Services Light Duty Vehicle 10 53 1.50.8010.1280.0320.0010.0020.001HAS Multi-tenant Parking Light Duty Vehicle 10 73 1.50.8550.1320.0350.0010.0030.001HAS Parking LotLight Duty Vehicle 10 173 1.51.1320.1570.050.0010.0040.002Military Joint Reservation Light Duty Vehicle 10 161 1.51.1010.1540.0480.0010.0040.002NASA LotLight Duty Vehicle 10 499 1.52.0360.2370.10.0030.0090.004NASA Main LotLight Duty Vehicle 10 48 1.50.7860.1260.0310.0010.0020.001NASA North LotLight Duty Vehicle 10 45 1.50.7790.1260.0310.0010.0020.001Southwest LotLight Duty Vehicle 10 202 1.51.2140.1640.0550.0020.0050.002Texas ANG LotLight Duty Vehicle 10 250 1.51.3470.1760.0620.0020.0050.002Volo AviationLight Duty Vehicle 10 84 1.50.8870.1350.0370.0010.0030.001

# Appendix E

**ESTIMATION OF EMISSIONS FROM**

**ROADWAY TRAFFIC**

### HAS608 

# E-1 

# Appendix E

**ESTIMATION OF EMISSION S FROM ROADWAY TRAFFIC** 

**E.1 INTRODUCTION**

This appendix provides a detailed explanatio n of the concepts, methodology, and data

inputs used for estimating emissions roadwa y vehicular traffic activity associated with

the airports for the development of the 8- hour ozone SIP for the Houston-GalvestonBrazoria (HGB) nonattainment area.

All roadway-related activity is segregated bet ween vehicular activity that occurs within

the airport boundary (i.e., on airport road way) and vehicular activity generated by the

airport-related activity that occurs beyond the airport boundary.

**E.2 ON-AIRPORT ROADWAY TRAFFIC** 

**E.2.1 IAH**

The total traffic volumes on each of the ro adway sections at IAH were determined from

24-hour traffic counts conducted for a week in February 2004 as part of the 2004 Master

Plan effort. Table E-1 shows the total avera ge traffic volume, sp eed and distance by

roadway section. Please refer to Figure 7-1 in section 7 of the report for the location of

the roadway sections. The average total traffic volume was annualized by multiplying

by 365. The traffic volumes on each roadway section were further divided by vehicle

class based on a vehicle classification coun t done in 2004 [See Table 7-2 in section 7 of

the report].

### HAS608 

# E-2 Table E-1

**2005 ROADWAY TRAFFIC PARAMETERS AT IAH**

HAS Emissions Inventory Study

Roadway

ID Roadway Section Distance

(miles) (d) Speed

(mph) (c) Maximum

Daily

Traffic (a)

1 Hardy Toll Road Connecter 0.90 55 10,567

2 JFK Blvd just north of Greens Road 0.20 45 51,875

3 JFK just south of FAA 3.00 45 31,864

5 Rankin Road under JFK 0.65 45 5,218

6 JFK north of rental car entrance 1.15 45 2,585

7 JFK south of cargo area 0.15 45 2,564

8 JFK just south of cargo area 1.40 45 29,874

9 Cargo Area Acccess roads 0.60 35 2,534

10 WCP just east of JFK 0.41 45 2,922

11 JFK at Marriot Hotel parking garage 0.05 45 29,704

12 WCP just east of the N/S taxiway bridge 1.50 45 20,948

13 WCP just east of terminals roadway interchange 3.50 45 19,548

14 Colonel Fisher Road btw EB and WB WCP lanes 0.14 30 5,169

15 Lee Road just north of WCP 0.45 45 14,309

16 Lee Road just south of Humble-Westfield Road 0.45 45 11,830

17 Lee Road just south of WCP 0.50 45 4,296

18 WCP just west of US 59 0.39 45 33,874

19 Terminal access road just west of N/S taxiway bridge 0.50 35 20,256

20 Terminal access road west of Terminal C 0.05 35 5,690

21 Terminal access roads just east of Marriot Hotel 0.10 35 22,452

22 Terminal access roads just west of Terminal C 0.30 35 17,815

23 Terminal access road east of Terminal C 0.25 35 19,174

24 Terminal recirculation roads just west of Marriot Hotel 0.10 35 5,360

25 Terminal access road east of Terminal B 0.30 35 16,512

26 Terminal access road east of Terminal A 0.50 35 10,354

27 Terminal A arrivals au to curbs exit 0.05 35 6,411

28 Terminal A arrivals commercial curbs exit 0.40 35 1,474

29 Terminal B arrivals auto curb exit 0.10 35 695

30 Terminal B arrivals commercial curbs exit 0.15 35 1,909

31 Terminal C arrivals auto curb exit 0.25 35 5,924

32 Terminal C arrivals commercial curbs exit 0.30 35 6,160

33 Kenswick Road just north of WCP 1.25 35 2,927

### HAS608 

# E-3 E.2.2 HOU

The roadway traffic was categorized by trip purpose. The different vehicle operators

operating at HOU are passenger auto, taxicabs , hotel shuttle, rental shuttle and charter

bus. The curbside peak hour traffic numbers, categorized by vehicle operator except for

taxicabs, for the year 2001 were obtained from the 2003 Master Plan. Peak hour

volumes for passenger cars were converted to daily traffic volumes based on a ratio of

peak hour to daily traffic obtained from a 24-hour traffic count conducted at IAH.

Table E-2 shows the 2005 roadwa y traffic parameters at HOU.

Table E-2

2005 ROADWAY TRAFFIC PARAMETERS AT HOU

HAS Emissions Inventory Study



# Roadway Vehicle E Distance

(miles) (b) Speed

(mph) Peak

Hour

Traffic (a)

Passenger Cars (Upper Loop) 0.79 35 305

Passenger Cars (Lower Loop) 0.79 35 285

Rental Shuttle Alamo 1.93 35 16

Rental Shuttle Avis 1.5 35 16

Rental Shuttle Budget 1.55 35 16

Other Rental Shuttle 0.79 35 27

Hotel Shuttle 0.79 35 20

Limo 0.75 35 20

Charter Bus 0.75 35 10

Parking Shuttle 0.79 35 85

(a) Source: 2001 Peak hour curbside traffic from 2003 HOU Master Plan

(b) Measured using Google Earth TM



# All shuttle trips were assumed to run fo r 14 hours a day (7:00 a.m. to 9:00 p.m.

represents the bulk of passenger activity) wi th uniform frequency during that time. The

daily traffic volumes were considered to be representative of an average day and were

annualized by multiplying by 365 days in the year. The shuttle trips were assumed to

remain constant through 2005.

Peak hour volumes for passenger cars and limousines were converted to daily traffic

volumes based on a ratio of peak hour to da ily traffic obtained from a 24-hour traffic

count conducted at IAH. The peak hour to daily traffic ratio obtained from IAH was

8.91%. Daily totals were annualized by were annualized by multiplying by 365 days in

the year.

### HAS608 

# E-4 Air cargo trucks were estimated based on the cargo truck trips at IAH and the

proportion of freight weight tr ansported at HOU and IAH. It was assumed that number

of cargo truck trips would be directly propor tional to the freight weight. Taxicab data

for 2005 was obtained from HAS.

**E.2.3 EFD**

The main generators of vehicular traffic at EFD are the Texas Air National Guard,

NASA and FBO services. Daily demand in 2005 fo r each of the traffic generators was

obtained from the airport [Please see Tabl e D-3 in Appendix D]. Annual and ozone

season traffic demand were estimated by multiplying the daily volumes with number of

days in a year (365) and ozone season (197), respectively. All vehicular activity was

assumed to be light duty vehicles.

The distribution of trips was based on the location of these facilities. The TxANG and

the Southwest FBO facility exist to the north of the Airport. All vehicular traffic to both

facilities was assumed to use the main entran ce to access the facility. All traffic to the

NASA facility was assumed to come in throug h Brantley Avenue due to its southern

location. Table E-3 shows the 2005 roadway traffic parameters at EFD.

Table E-3

**2005 ROADWAY TRAFFIC PARAMETERS AT EFD**

HAS Emissions Inventory Study



# Roadway Section Distance

(miles) (b) Speed

(mph) Peak Hour

Traffic (a)

Aerospace Avenue 0.45 35 330

Brantly Avenue 0.24 35 344

Challenger 7 Pkwy 0.18 35 360

(a) Source: Estimated from the 2005 daily demand for HAS, NASA

and Texas ANG facilities

(b) Measured using Google Earth TM



# E.3 OFF-AIRPORT **ROADWAY TRAFFIC**

All significant categories of vehicles making tr ips from within the airport boundaries to

outside locations were accounted for. All l ight duty vehicles—passenger cars, taxicabs,

and limos— were analyzed into one category. The average distance traveled by light

duty vehicles off airport property to and from the airport depends on the point of origin

of the trip. Since downtown Houston is one of the largest contributors of trips to each

of the airports, the geographic center of the region, and a very dense commercial area,

### HAS608 

# E-5 an average distance to downtown Houston from each of the airports was used as a

representative travel distance for all light duty vehicles.

The other classes of vehicles that make trips that are significant beyond the airport

boundary are rental, hotel and parking shuttl es. For each of those vehicle classes, an

average distance to and from the airport bound ary to clusters of each of the facilities

served by the shuttles was derived and used as the average travel distance. The offairport roadway traffic parameters are provided in section 7 of the report.

**E.4 ROADWAY EMISSION FACTORS**

Emission factors for roadways are input into EDMS as grams/vehicle-mile. As

described in Chapter 6, EDMS has a built-in on-road emission factor model to generate

emissions factors for motor vehicles. Th e built-in model is a basic version of

MOBILE6.2. It cannot be customized to local conditions and calculates emission factors

based on the manufactured year of the vehicle.

The emission factors are dependent on th e average speed of the roadway and vehicle

class. Speed-dependant emission factors, derived from MOBILE6.2, along with traffic

volume and distance traveled on the roadway, are used to compute roadway emissions.

For emissions quantification, the total emission s are the product of the traffic volumes

on the roadway, the emission factor, and th e distance traveled by each vehicle on the

roadway. The average speed and the vehi cle class are the parameters needed to

compute the emission factors. The other parameters are manufactured year, elevation,

and the average daily high and low tempe ratures, which come from the airport’s

weather data.

The roadway emission factors derived us ing MOBILE 6.2 by vehicle type and speed are

shown in Tables E-4 to E-8.HAS608E-6Table E-4**2005 ROADWAY EMISSION FACTORS**HAS Emissions Inventory StudySpeedPollutant (grams/vehicle-mile)Vehicle TypeVehicle Operator(mph)COVOCNOxSOxPM10PM2.5Default mixAll default mix for Off-roadway458.3689 0.6188 1.39980.0501 0.0546 0.0377Light Duty Vehicle Passenger car, Taxicab, Limo307.6470 0.7021 0.68650.0173 0.0261 0.0125Light Duty Vehicle Passenger car, Taxicab, Limo357.8728 0.6717 0.66520.0174 0.026 0.0123Light Duty Vehicle Passenger car, Taxicab, Limo408.4011 0.6540 0.67310.0174 0.026 0.0123Light Duty Vehicle Passenger car, Taxicab, Limo458.9296 0.6393 0.68530.0174 0.026 0.0123Light Duty Vehicle Passenger car, Taxicab, Limo5510.5754 0.6207 0.72770.0174 0.026 0.0123Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 300.6619 0.4093 0.81790.0796 0.1751 0.1498Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 350.6004 0.3699 0.81050.0796 0.1751 0.1498Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 450.5445 0.3198 0.88320.0796 0.1751 0.1498Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 550.5763 0.2995 1.19600.0796 0.1751 0.1498Transit BusRental shuttle bus303.9420 0.5503 14.53110.5454 0.2563 0.2171Transit BusRental shuttle bus35 3.4125 0.4822 14.3944 0.5454 0.2563 0.2171Transit BusRental shuttle bus45 2.9313 0.3956 15.7479 0.5454 0.2563 0.2171Transit BusRental shuttle bus55 3.2045 0.3607 21.5978 0.5454 0.2563 0.2171Heavy Duty Diesel Truck Cargo35 2.7518 0.5394 13.1126 0.3611 0.2563 0.2171Heavy Duty Diesel Truck Cargo45 2.3637 0.4425 14.0636 0.3611 0.2563 0.2171HAS608E-7Table E-5**2011 ROADWAY EMISSION FACTORS**HAS Emissions Inventory StudySpeedPollutant (grams/vehicle-mile)Vehicle TypeVehicle Operator(mph)COVOCNOxSOxPM10PM2.5Default mixAll default mix for Off-roadway456.3169 0.4456 0.7356 0.0086 0.0371 0.0215Light Duty Vehicle Passenger car, Taxicab, Limo306.0591 0.5072 0.46570.0086 0.0249 0.0114Light Duty Vehicle Passenger car, Taxicab, Limo356.1269 0.4850 0.45280.0086 0.0249 0.0114Light Duty Vehicle Passenger car, Taxicab, Limo406.4603 0.4725 0.45650.0086 0.0249 0.0114Light Duty Vehicle Passenger car, Taxicab, Limo456.7943 0.4616 0.46300.0086 0.0249 0.0114Light Duty Vehicle Passenger car, Taxicab, Limo557.7923 0.4454 0.48510.0086 0.0249 0.0114Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 300.3709 0.1975 0.28070.0022 0.0605 0.0441Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 350.3375 0.1793 0.27820.0022 0.0605 0.0441Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 450.3071 0.1561 0.30300.0022 0.0605 0.0441Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 550.3244 0.1468 0.40950.0022 0.0605 0.0441Transit BusRental shuttle bus302.1379 0.2791 9.31130.016 0.1149 0.0854Transit BusRental shuttle bus351.8507 0.2446 9.22310.016 0.1149 0.0854Transit BusRental shuttle bus451.5897 0.2006 10.09570.016 0.1149 0.0854Transit BusRental shuttle bus551.7379 0.1829 13.87170.016 0.1149 0.0854Heavy Duty Diesel Truck Cargo351.3817 0.3661 6.2294 0.0106 0.1149 0.0854Heavy Duty Diesel Truck Cargo451.1869 0.3003 6.7500 0.0106 0.1149 0.0854HAS608E-8Table E-6**2014 ROADWAY EMISSION FACTORS**HAS Emissions Inventory StudySpeedPollutant (grams/vehicle-mile)Vehicle TypeVehicle Operator(mph)COVOCNOxSOxPM10PM2.5Default mixAll default mix for Off-roadway455.4022 0.3501 0.5108 0.0087 0.0325 0.0172Light Duty Vehicle Passenger car, Taxicab, Limo305.2175 0.3956 0.35300.0086 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo355.2560 0.3783 0.34320.0086 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo405.5356 0.3687 0.34580.0086 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo455.8158 0.3603 0.35060.0086 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo556.6497 0.3487 0.36660.0086 0.0248 0.0113Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 300.3114 0.1342 0.16520.0022 0.0454 0.0302Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 350.2830 0.1219 0.16370.0022 0.0454 0.0302Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 450.2572 0.1062 0.17830.0022 0.0454 0.0302Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 550.2718 0.0999 0.24100.0022 0.0454 0.0302Transit BusRental shuttle bus301.5234 0.2545 6.43000.016 0.0809 0.0542Transit BusRental shuttle bus351.3188 0.2231 6.36860.016 0.0809 0.0542Transit BusRental shuttle bus451.1328 0.1830 6.97610.016 0.0809 0.0542Transit BusRental shuttle bus551.2384 0.1668 9.60890.016 0.0809 0.0542Heavy Duty Diesel Truck Cargo350.9524 0.3209 4.2757 0.0106 0.0809 0.0542Heavy Duty Diesel Truck Cargo450.8181 0.2633 4.6455 0.0106 0.0809 0.0542HAS608E-9Table E-7**2017 ROADWAY EMISSION FACTORS**HAS Emissions Inventory StudySpeedPollutant (grams/vehicle-mile)Vehicle TypeVehicle Operator(mph)COVOCNOxSOxPM10PM2.5Default mixAll default mix for Off-roadway454.8992 0.2929 0.3703 0.0088 0.0297 0.0146Light Duty Vehicle Passenger car, Taxicab, Limo304.7537 0.3311 0.28450.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo354.7774 0.3160 0.27650.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo405.0271 0.3075 0.27840.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo455.2776 0.3001 0.28210.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo556.0223 0.2901 0.29470.0087 0.0248 0.0113Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 300.2861 0.1044 0.11910.0022 0.0367 0.0222Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 350.2596 0.0947 0.11800.0022 0.0367 0.0222Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 450.2355 0.0823 0.12850.0022 0.0367 0.0222Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 550.2491 0.0773 0.17380.0022 0.0367 0.0222Transit BusRental shuttle bus301.0520 0.2420 4.13140.016 0.06 0.035Transit BusRental shuttle bus350.9107 0.2120 4.09170.016 0.06 0.035Transit BusRental shuttle bus450.7822 0.1740 4.48400.016 0.06 0.035Transit BusRental shuttle bus550.8552 0.1586 6.18600.016 0.06 0.035Heavy Duty Diesel Truck Cargo350.6917 0.2861 2.7092 0.0106 0.0600 0.0350Heavy Duty Diesel Truck Cargo450.5942 0.2347 2.9506 0.0106 0.0600 0.0350HAS608E-10Table E-8**2018 ROADWAY EMISSION FACTORS**HAS Emissions Inventory StudySpeedPollutant (grams/vehicle-mile)Vehicle TypeVehicle Operator(mph)COVOCNOxSOxPM10PM2.5Default mixAll default mix for Off-roadway453.4740 0.2137 0.23750.0088 0.0291 0.014Light Duty Vehicle Passenger car, Taxicab, Limo303.2965 0.2352 0.15750.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo353.3291 0.2248 0.15180.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo403.5264 0.2189 0.15390.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo453.7245 0.2138 0.15690.0087 0.0248 0.0113Light Duty Vehicle Passenger car, Taxicab, Limo554.3217 0.2086 0.16590.0087 0.0248 0.0113Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 300.2856 0.1024 0.10920.0022 0.0349 0.0205Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 350.2592 0.0929 0.10820.0022 0.0349 0.0205Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 450.2352 0.0808 0.11790.0022 0.0349 0.0205Light Duty Diesel Truck Hotel shuttle, rental car shuttle, parking shuttle 550.2488 0.0759 0.15940.0022 0.0349 0.0205Transit BusRental shuttle bus300.8811 0.2381 3.32770.016 0.0557 0.031Transit BusRental shuttle bus350.7627 0.2087 3.29600.016 0.0557 0.031Transit BusRental shuttle bus450.6552 0.1712 3.61040.016 0.0557 0.031Transit BusRental shuttle bus550.7162 0.1561 4.97310.016 0.0557 0.031Heavy Duty Diesel Truck Cargo350.6021 0.2762 2.1684 0.0106 0.0557 0.0310Heavy Duty Diesel Truck Cargo450.5172 0.2266 2.3631 0.0106 0.0557 0.0310

# Appendix F

**ESTIMATION OF EMISSIONS FROM**

**STATIONARY SOURCES**

### HAS608 

# F-1 

# Appendix F

**ESTIMATION OF EMISSIONS FROM STATIONARY SOURCES** 

**F.1 INTRODUCTION**

This appendix provides a detailed explanatio n of the concepts, methodology, and data

inputs used for quantifying emissions from key HAS owned stationary sources and fuel

consumption for airport tenants. These estimates are intended to support the

development of the 8-hour ozone SIP for the Houston-Galveston-Brazoria (HGB)

nonattainment area.

This inventory considered only key sources of stationary emissions, which include:

1) HAS-owned boilers and generators; 2) HAS- owned incinerator at IAH, 3) firefighter

training fires; and 4) emissions from aircraf t fuel storage tanks. There were a number of

other stationary sources located at each airpor t, but they were not in cluded in this study

because of a lack of readily available data. The stationary sources not included in this

study are: 1) aircraft engine t esting areas; 2) deicing operation s; 3) salt/sand piles; and

4) painting and solvent degreasing activities.

**F.2 HAS OWNED STATIONARY SOURCES**

**F.2.1 Boilers**

The boilers at IAH and HOU were modeled in EDMS as Controlled Wall Fired boilers

with hourly consumption of less than 100 m illion British Thermal Units (BTUs). The

volume of natural gas in cubic meters consumed in the calendar year 2007 and ozone

season was obtained for IAH from HAS staff. Boiler usage was assumed to be the same

in 2005. Monthly usage was obtained from HAS staff for HOU. Table F-1 and F-2

shows the boiler usage at IAH and HOU respec tively. Default emission factors in EDMS

were used to estimate emissions.

Table F-1

**2007 BOILER CONSUMPTION AT IAH**

HAS Emissions Inventory Study



# Boiler Boiler Rating

(MMBtu/Hour) Annual Fuel Usage

(MMBtu/year) Ozone Season Fuel

Usage (MMBtu/season)

BL-CHP4 67.7 205,486 121,213

BL-CHP5 67.7 208,915 143,214

### HAS608 

# F-2 Table F-2

**2006 BOILER CONSUMPTION AT HOU**

HAS Emissions Inventory Study



# Month Fuel Usage

(MMBtu/month)

January 3,312

February 3,257

March 2,012

April 1,153

May 359

June 283

July 283

August 370

September 418

October 380

November 427

December 2,701



# F.2.2 Generators

For the natural gas generators, the volume of natural gas consumed for the calendar

year 2007 and ozone season was obtained. Th e emissions for the diesel generators were

determined by the hours of usage. The ho urs of usage were obtained for calendar year

2007 and the ozone season. Emergency generator usage is assumed to be the same in

2005.

The emissions from natural gas and diesel generators were modeled in EDMS using

USAF and U.S. EPA methodology, respectively. Default emission factors in EDMS were

used to estimate emissions. Table F-3 sho ws the emergency generator usage at IAH.

### HAS608 

# F-3 Table F-3

**2007 GENERATOR CONSUMPTION AT IAH**

HAS Emissions Inventory Study



# Generator Fuel Type Engine Rating

(hp) Annual

(hr/year) Ozone Season

(hr/season)

GEN-ANXBLD Natural Gas 354 33 26

GEN-TERMA Natural Gas 150 10 9

GEN-TERMD Diesel 1515 10 9

GENLFTSTAT6 Diesel 600 26 26

GEN-STHVLT Diesel 703 169 125

GEN-NTHVLT Diesel 1490 176 141

GEN-ARFF54 Natural Gas 158 35 28

GEN-ARFF99 Natural Gas 158 38 32

GEN-OSFISG Diesel 467 16 14

Hourly usage of natural gas generators wa s converted to volume consumed based on

a 600 cubic feet per hour usage rate of natural gas.



# F.2.3 Incinerator

The incinerator at IAH was modeled in EDMS as a single chamber incinerator. The

mass of waste in metric tons burnt in the calendar year 2007 and ozone season was

obtained from HAS. Incinerator usage was assumed to remain the same in 2005 and for

future years. Default emiss ion factors in EDMS were used to estimate emissions. were

used to estimate emissions. Table F-4 shows the incinerator usage at IAH.

Table F-4

**2007 INCINERATOR CONSUMPTION AT IAH**

HAS Emissions Inventory Study



# Generator Heat Input

(MMBtu/hr) Annual

Refuse

(tons/year) Ozone Season

Refuse

(tons/season)

GEN-ANXBLD 1.50 273 205

### HAS608 

# F-4 **F.2.4 Training Fires**

There is a small fire training facility opera tion at IAH. The City of Houston fire

department provided information on the a nnual fuel consumption owing to training

fires. The training facility at IAH used 2,102 of propane in 2006. .

**F.3 FUEL CONSUMPTION**

Monthly fuel consumption data of Jet A fuel for 2005 was obtained for IAH from HAS.

Default emission factors in EDMS were used to estimate emissions in the fuel handling

process. Ozone season weekday fuel cons umption was derived from monthly fuel

consumption data for 2005. In order to be co nservative, it was assumed that all fuel

consumption in the ozone season months occurs during the weekdays. Figure F-1

shows the Jet A fuel consumption at IAH.

Figure F-1

**2005 JET A FUEL CONSUMPTION AT IAH BY FUEL TANK**

0 10,000,000 20,000,000 30,000,000 40,000,000 50,000,000 60,000,000

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

A

‐ 1 A

‐ 2 A

‐ 3 A

‐ 4 A

‐ 5 C

‐ 1 C

‐ 2 D

‐ 1 D

‐ 2 D

‐ 3

### HAS608 

# F-5 The Jet A fuel consumption for Southwest Airlines was obtained for the year 2005 was

obtained from HAS. Monthly fuel consumption data of Jet A fuel from the FBO and

other airlines for 2005 at HOU was obtained from HAS.

Table F-5

**2005 JET A FUEL CONSUMPTION AT HOU**

HAS Emissions Inventory Study



# Month Consumption (a)

(gallons)

January 1,302,708

February 1,326,873

March 1,119,921

April 1,370,512

May 1,110,718

June 972,601

July 1,184,274

August 916,247

September 1,195,024

October 1,186,042

November 1,371,491

December 770,153

(a) Excludes fuel consumption by

Southwest Airlines.



# Fuel at EFD is supplied or consumed mainly by military or general aviation aircraft.

Southwest FBO provides fuel to general aviation aircraft and NASA. Texas ANG owns

fuel storage tanks supplying fuel to military aircraft.

Texas ANG dispenses both AvGas and Jet A fuel. Southwest FBO supplies JP-8,

MOGAS, and diesel fuel. All the fuel s torage tanks owned by Texas ANG are

horizontal. Southwest FBO has four vertical and three horizontal storage tanks.

Annual fuel consumption data for 2005 was ob tained from HAS staff. Based on the

proportion of annual military operations an d general aviation operations in an ozoneseason weekday, the total annual fuel from Texas ANG an d Southwest FBO were

proportioned to obtain ozone season weekday consumption. Default emission factors

in EDMS are used to estimate emissions. Table F-6 provides the 2005 fuel consumption

at EFD.

### HAS608 

# F-6 Table F-6

**2005 FUEL CONSUMPTION AT EFD**

HAS Emissions Inventory Study



# Stationary Source Fuel/Substance

Consumed Consumption

(gallons)

Texas Air National Guard Jet A 2,923,987

Texas Air National Guard Diesel 41,204

Texas Air National Guard MOGAS 26,770

Southwest FBO Jet A 5,571,429

Southwest FBO AvGAS 928,571

# Appendix G

**ESTIMATION OF EMISSIONS FROM**

**CONSTRUCTION ACTIVITIES**

### HAS608 

# G-1 

# Appendix G

**ESTIMATION OF EMISSIONS FR OM CONSTRUCTI**  **ON ACTIVITIES**

**G.1 INTRODUCTION**

This appendix provides a detailed explanation of the methodology and calculation of

emissions from construction activities for v arious projects implemented at IAH, HOU,

and EFD in 2005 and construction projects forecast for future years.

**G.2 METHODOLOGY**

In the absence of detailed engineering schem atics and project documentation, Jacobs

Consultancy sought project guidance from a variety of other sources. These included:

(1) the Air Emission Summary documents th at were submitted to the FAA (AES); (2) the

2008 Philadelphia International Airport Capa city Enhancement Program (PHL CEP)*;

(3) the 2004 Philadelphia International Ai rport Runway 17-35 Extension Project EIS

(PHL EIS)** and (4) construction vehicles estimates for runway projects at Portland

International, Reading Internati onal, and Lehigh Valley International airports. Data

from these documents were extrapolated and scaled to fit the appropriate projects at

HAS airports. It should be noted that, whenever possible, guidance from HAS was

used when calculating emissions.

The PHL CEP was the basis for estimating vehicle use data for the runway-related

projects that occurred in 2005 at IAH, HOU, and EFD. Additionally, the AES

documents provide data for building construction and terminal apron work. The PHL

EIS was the basis for estimating vehicle us e data for construction projects in future

years at HOU. The AES documents were also used for estimating construction activity

at EFD for future years.

Because many airport projects last more than one year, information was gathered for all

of the construction projects that occurred between 2004 and 2006. Several of those

projects either started in 2004 and continue d into 2005 or started in 2005 and continued

into 2006. For projects with overlapping years, the emissions were scaled to reflect only

2005.

There were a number of small projects at IA H, HOU, and EFD in 2005, each with only a

small contribution of emissions to the overa ll inventory. In estimating the emissions,

these small projects were consolidated into a larger miscellaneous project that

collectively accounted for a fraction of total construction emissions.

*Philadelphia International Airport Capaci ty Enhancement Program Draft Air Quality

Technical Report, KM Chng Environmental, Inc., 2008.

**Environmental Impact Statement fo r the Runway 17-35 Extension Project at

Philadelphia International Airport, Vanasse Hangen Brustlin, Inc. (2005).

### HAS608 

# G-2 Vehicle information was input into NONROAD 2005 to generate construction

emissions.* NONROAD2005 is the EPA accepted model used to calculate off-road

vehicle emissions. The year 2005 was used as the episode year for the 2005 emissions

calculations. The model assumed a distri bution of vehicle ages based on engine

scrappage data for Harris County. Likewi se, 2011 was used as the episode year for

future construction vehicle emissions, which was based on a distribution of vehicle ages

in Harris County. Owing to the temperate location of HAS airports and upon guidance

from HAS, it was assumed that project ma npower and vehicle use occurred 40 hours

per week and 52 weeks per year.

Emissions associated with runway paving were calculated based on the methodology

presented in Appendix G of the PHL CEP in Tables G-17 and G-18. The projects

covered by this document were simil ar the projects undertaken by HAS.

**G.3 2005 CONSTRUCTION PROJECT EMISSIONS**

Construction project emissions for 2005 were compiled for IAH, HOU, and EFD.

**G.3.1 George Bush Intercontinental Airport**

The 2005 construction project inventory for IAH included the following projects.

15L Project. The 15L Project consisted of repaving and resurfacing Runway 15L from

August 2005 to March 2006. Reportedly, 40% of the project occurred in 2006, thus only

60% of the total project emissions are included for this inventory. Equipment usage

data was extrapolated from the 2008 PHL CEP. The PHL CEP outlines an extensive

array of construction projects, but only th e runway paving and resurfacing portions

were examined for purposes of the HAS inve ntory. The scope of runway paving

activity was approximately equal to the repaving activity involved with the 15L Project.

Table G-1 presents the 2005 construction ve hicle emissions associated with the

15L Project.

*The NONROAD2005 Model was created by United States Environmental Protection

Agency. Further information can be found at

http://www.epa.gov/otaq/nonrdmdl.htm#docs

.

### HAS608 

# G-3 Table G-1

**15L CONSTRUCTION VEHIC LE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump truck 11.45 4.06 1.47 0.70 0.66 0.64

Paint truck 0.20 0.13 0.02 0.02 0.02 0.02

Paver 0.25 0.11 0.04 0.02 0.02 0.02

Primer Truck 0.07 0.04 0.01 0.01 0.01 0.01

Reclaimer 0.11 0.04 0.01 0.01 0.01 0.01

Roller 0.45 0.24 0.06 0.04 0.04 0.04

Sweeper 0.15 0.05 0.02 0.01 0.01 0.01

Tack truck 0.20 0.13 0.02 0.02 0.02 0.02

Trimmer 0.04 0.02 0.01 0.01 0.01 0.01

Total 12.92 4.82 1.66 0.83 0.80 0.78



# The project consisted of paving approximately 165,600m 2 

# of the airfield. It was assumed

that 5 layers of pavement would be laid. Table G-2 presents the emissions directly from

the asphalt associated with the 15L Project.

Table G-2

**15L ASPHALT EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 828,000 298 mg/m 2 

# 0.27

PM

2.5 

# 828,000 9.05 g/m 2 

# 8.24

### HAS608 

# G-4 9/27 Project. The 9/27 Project consisted of repa iring and repaving Runway 9/27 from

August 2005 to October 2005. Based on the di fferences in project duration, the 9/27

Project involved approximately 60% of the activity as that of the 15L Project. An

additional 17% reduction in vehicle utilization was applied based on the smaller surface

area of Runway 9/27. Table G-3 presents the 2005 construction vehicle emissions

associated with the 9/27 Project.

Table G-3

**9/27 CONSTRUCTION VEHIC LE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 9.49 3.37 1.21 0.58 0.55 0.53

Paint Truck 0.17 0.10 0.02 0.02 0.02 0.02

Paver 0.21 0.09 0.03 0.02 0.02 0.02

Primer Truck 0.06 0.04 0.01 0.01 0.01 0.01

Reclaimer 0.09 0.03 0.01 0.01 0.01 0.01

Roller 0.37 0.20 0.05 0.04 0.04 0.04

Sweeper 0.12 0.04 0.02 0.01 0.01 0.01

Tack Truck 0.17 0.10 0.02 0.02 0.02 0.02

Trimmer 0.03 0.02 0.01 0.01 0.01 0.01

Total 10.71 3.99 1.38 0.69 0.66 0.64



# The project consisted of paving approximately 138,000m 2 

# of the airfield. It was assumed

that 5 layers of pavement would be laid. Table G-4 presents the emissions directly from

the asphalt associated with the 9/27 Project.

Table G-4

**9/27 ASPHALT EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 690,000 298 mg/m 2 

# 0.23

PM

2.5 

# 690,000 9.05 g/m 2 

# 6.87

### HAS608 

# G-5 There were a variety of smaller construction projects that, individually, generated

minor emissions, but cumulatively generated a notable amount of emissions. These

projects include: 1) Terminal C electrical vault expansion; 2) sound insulation project;

3) Terminal B tenant space improvement; an d 4) USPS facility support. It was assumed

that the cumulative emissions from th ese projects were approximately 25% of the

emissions from the larger 15L and 9/27 Pr ojects at IAH. Table G-5 presents the

emissions from the other projects and the c umulative amount of construction emissions

generated at IAH in 2005.

Table G-5

**TOTAL 2005 CONSTRUCTION EMISSIONS AT IAH**

HAS Emissions Inventory Study



# Project NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# 15L 12.92 4.82 1.66 1.10 9.04 9.02

9/27 10.71 3.99 1.38 0.92 7.53 7.51

Other 5.91 2.21 0.76 0.51 4.14 4.13

Total 29.54 11.02 3.80 2.53 20.71 20.66



# G.3.2 William P. Hobby Airport

The 2005 construction project inventory fo r HOU included the following projects.

Concourse B Project. The Concourse B Project involved aircraft apron and passenger

terminal renovation. For this inventory, the project was assumed to be similar to the

Terminal B North apron/terminal renovation project at IAH.* A 50% reduction in

vehicle activity, however, was applied because the HOU project lasted approximately

half as long as the IAH project. A 40% redu ction was also applied to account for project

overlap into 2006. Table G-6 presents the 2005 construction vehicle emissions

associated with the Concourse B Project.

* Air Emission Summary for Project 603D , Houston Airport System, 2005.

### HAS608 

# G-6 Table G-6

**CONCOURSE B CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Cement Mixer 0.05 0.02 0.01 0.01 0.01 0.01

Compressor 0.14 0.06 0.02 0.02 0.01 0.01

Dozer 1.15 0.47 0.15 0.08 0.08 0.08

Excavator 0.43 0.16 0.06 0.03 0.03 0.03

Generator 0.22 0.11 0.03 0.03 0.02 0.02

Grader 0.41 0.13 0.06 0.03 0.03 0.03

Loader 0.07 0.03 0.01 0.01 0.01 0.01

Paver 0.08 0.04 0.01 0.01 0.01 0.01

Roller 0.41 0.22 0.06 0.04 0.04 0.04

Concrete Saw 0.17 0.14 0.03 0.02 0.02 0.02

Sweeper 0.14 0.04 0.02 0.01 0.01 0.01

Tractor 1.38 0.68 0.16 0.11 0.10 0.10

Trencher 0.05 0.04 0.01 0.01 0.01 0.01

Total 4.71 2.14 0.61 0.40 0.38 0.37

### HAS608 

# G-7 Table G-7

**AIRFIELD REPAIR CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.48 0.88 0.32 0.15 0.14 0.14

Paint Truck 0.04 0.03 0.01 0.01 0.01 0.01

Paver 0.05 0.02 0.01 0.01 0.01 0.01

Primer Truck 0.01 0.01 0.01 0.01 0.01 0.01

Reclaimer 0.05 0.02 0.01 0.01 0.01 0.01

Roller 0.10 0.05 0.01 0.01 0.01 0.01

Sweeper 0.03 0.02 0.01 0.01 0.01 0.01

Tack Truck 0.04 0.03 0.01 0.01 0.01 0.01

Trimmer 0.01 0.01 0.01 0.01 0.01 0.01

Total 2.83 1.07 0.36 0.18 0.18 0.17



# Airfield Repair Project. This project involved the repairing and repaving of various

portions of the airfield at HOU in 2005. Thes e activities were similar to those associated

with the 15L Project at IAH, but an 87% reduction in vehicle utilization was applied to

account for the smaller work area. Table G-7 presents the 2005 construction vehicle

emissions associated with the Airfield Repair Project.

The project consisted of paving approximately 22,259m 2 

# of the airfield. It was assumed

that 5 layers of pavement would be laid. Table G-8 presents the emissions directly from

the asphalt associated with the Airfield Repair Project.

Table G-8

**AIRFIELD REPAIR ASPH ALT EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 111,295 298 mg/m 2 

# 0.04

PM

2.5 

# 111,295 9.05 g/m 2 

# 1.10

### HAS608 

# G-8 Small Construction Projects . There were a variety of smaller construction projects that,

individually, generated minor emissions, but cumulatively generated a significant

amount of emissions. These projects incl ude: (1) runway lighting; (2) asbestos

abatement services; and (3) demolition of seve ral small maintenance buildings. It was

assumed that the cumulative emissions from these projects were approximately 25% of

the emissions from the larger Concourse B and Airfield Repair Projects at HOU.

Table G-9 presents the emissions from the oth er projects and the cumulative amount of

construction emissions generated at HOU in 2005.

Table G-9

**TOTAL 2005 CONSTRUCTION EMISSIONS AT HOU (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# Concourse B 4.71 2.14 0.61 0.40 0.38 0.37

Airfield Repair 2.83 1.07 0.36 0.22 1.28 1.27

Other 1.89 0.80 0.24 0.16 0.42 0.41

Total 9.43 4.01 1.21 0.78 2.08 2.05



# G.3.3 Ellington Field

The 2005 construction project inventory for EFD included the following projects.

### HAS608 

# G-9 Ramp Repair Project. This project involved the repairing and repaving of various

portions of the airfield ramps at EFD in 2004 and 2005. These activities were similar to

those associated with the 15L Project at IA H, but a 77% reduction in vehicle activity was

applied to account for the smaller work area and a 25% reduction was applied due to

overlap from 2004. Table G-10 presents the 2005 construction vehicle emissions

associated with the Ramp Repair Project.

Table G-10

**RAMP REPAIR CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 3.29 1.17 0.42 0.20 0.19 0.18

Paint Truck 0.06 0.04 0.01 0.01 0.01 0.01

Paver 0.07 0.03 0.01 0.01 0.01 0.01

Primer Truck 0.02 0.01 0.01 0.01 0.01 0.01

Reclaimer 0.06 0.03 0.01 0.01 0.01 0.01

Roller 0.13 0.07 0.02 0.01 0.01 0.01

Sweeper 0.04 0.02 0.01 0.01 0.01 0.01

Tack Truck 0.06 0.04 0.01 0.01 0.01 0.01

Trimmer 0.01 0.01 0.01 0.01 0.01 0.01

Total 3.75 1.41 0.48 0.24 0.23 0.23



# The project consisted of paving approximately 38,447m 2 

# of the airfield. It was assumed

that 5 layers of pavement would be laid. Table G-11 presents the emissions directly

from the asphalt associated with the Ramp Repair Project.

Table G-11

**RAMP REPAIR ASPHAL T EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 192,235 298 mg/m 2 

# 0.06

PM

2.5 

# 192,235 9.05 g/m 2 

# 1.91

### HAS608 

# G-10 Aircraft Hangar Project. The project involved the cons truction of the Rocket Man

Hangar in 2005. Construction vehicle utilization data was provided by AES reports

provided by the FAA.* Table G-12 presents the 2005 construction vehicle emissions

associated with the Aircraft Hangar Project.

Table G-12

**AIRCRAFT HANGAR CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.02 0.02 0.01 0.01 0.01 0.01

Cement Mixer 0.01 0.01 0.01 0.01 0.01 0.01

Concrete Saw 0.01 0.01 0.01 0.01 0.01 0.01

Crane 0.14 0.03 0.01 0.01 0.01 0.01

Dozer 0.03 0.01 0.01 0.01 0.01 0.01

Drilling Rig 0.05 0.02 0.01 0.01 0.01 0.01

Dumper/Tender 0.01 0.01 0.01 0.01 0.01 0.01

Grader 0.03 0.01 0.01 0.01 0.01 0.01

Loader 0.09 0.04 0.01 0.01 0.01 0.01

Pick-up Trucks 2.10 1.08 0.01 0.01 0.01 0.01

Plate Compactor 0.01 0.01 0.24 0.16 0.17 0.16

Scraper 0.08 0.03 0.01 0.01 0.01 0.01

Trencher 0.01 0.01 0.01 0.01 0.01 0.01

Total 2.56 1.26 0.30 0.20 0.20 0.20



# * Aeronautical Study 2005-ASW-289-NRA , Federal Aviation Administration, 2005.

### HAS608 

# G-11 Table G-13 presents the cumulative emission s generated by the Ramp Repair and

Aircraft Hangar construction projects at EFD in 2005.

Table G-13

**TOTAL 2005 CONSTRUCTION EMISSIONS AT EFD (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# Ramp 3.75 1.41 0.48 0.30 2.14 2.14

Hangar 2.56 1.26 0.30 0.20 0.20 0.20

Total 6.31 2.67 0.78 0.50 2.34 2.34



# G.4 FUTURE CONSTRUCTION PROJECT EMISSIONS

**G.4.1 William P. Hobby Airport**

The HOU Master Plan includes a number of recommendations that involve significant

construction activities.* The projects antic ipated to generate significant construction

emissions are summarized below. While the projects are certain to occur, the precise

year of construction is unknown. As su ch, the construction emissions have been

calculated for years 2011, 2014, 2017, and 2018. It is advised that they be applied in the

year that the project actually occurs. Emissions were calculated with NONROAD 2005

using the applicable construction year as the vehicle model year, which assumes an

average distribution of vehicle ages.

Runway Extension Project. Runway 17L/35R will be extended by an additional

1,550 feet. Vehicle usage assumptions were extrapolated from the 2008 PHL CEP.

Table G-14 presents the construction vehicl e emissions for the future Runway Extension

Project.

* William P. Hobby 2003 Master Plan , Ricondo & Associates, Inc., 2003.

### HAS608 

# G-12 Table G-14

**2011 RUNWAY EXTENSION CONSTRUCTI ON VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 2.79 2.70 0.01 0.55 0.42 0.41

Bulldozer 11.91 5.14 0.03 0.81 0.78 0.75

Concrete Truck 0.37 0.17 0.00 0.04 0.03 0.03

Dump Truck 67.41 22.67 0.17 3.95 3.26 3.16

Excavator 5.80 2.53 0.02 0.43 0.45 0.43

Grader 8.17 3.14 0.02 0.62 0.58 0.56

Loader 7.55 3.14 0.02 0.52 0.49 0.48

Milling Machine 0.24 0.13 0.00 0.02 0.02 0.02

Paver 0.56 0.27 0.00 0.04 0.05 0.04

Pick-up Truck 17.42 8.28 0.04 1.22 1.15 1.12

Roller 3.77 2.07 0.01 0.31 0.33 0.32

Total 125.98 50.25 0.32 8.52 7.55 7.33

### HAS608 

# G-13 Table G-15

**2014 RUNWAY EXTENSION CONSTRUCTI ON VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 2.29 2.15 0.00 0.43 0.34 0.33

Bulldozer 8.73 3.61 0.02 0.65 0.57 0.55

Concrete Truck 0.32 0.15 0.00 0.03 0.02 0.02

Dump Truck 48.84 13.67 0.09 3.85 2.29 2.22

Excavator 4.00 1.68 0.01 0.33 0.31 0.30

Grader 5.65 2.15 0.01 0.48 0.42 0.40

Loader 1.23 1.15 0.00 0.23 0.18 0.18

Milling Machine 1.00 0.45 0.00 0.07 0.06 0.06

Paver 0.42 0.20 0.00 0.03 0.03 0.03

Pick-up Truck 13.86 6.19 0.02 0.96 0.87 0.84

Roller 2.86 1.51 0.01 0.24 0.24 0.23

Total 89.19 32.9 0.17 7.31 5.33 5.17

### HAS608 

# G-14 Table G-16

**2017 RUNWAY EXTENSION CONSTRUCTI ON VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 1.81 1.68 0.00 0.33 0.26 0.26

Bulldozer 5.84 2.37 0.01 0.55 0.37 0.36

Concrete Truck 0.27 0.13 0.00 0.03 0.02 0.02

Dump Truck 35.66 6.51 0.05 3.35 1.25 1.21

Excavator 2.35 0.92 0.00 0.28 0.16 0.15

Grader 3.35 1.27 0.01 0.40 0.23 0.23

Loader 0.97 0.90 0.00 0.17 0.14 0.14

Milling Machine 0.76 0.33 0.00 0.06 0.05 0.05

Paver 0.28 0.13 0.00 0.03 0.02 0.02

Pick-up Truck 10.48 4.61 0.01 0.79 0.64 0.62

Roller 2.00 1.03 0.00 0.18 0.16 0.16

Total 63.76 19.88 0.09 6.16 3.30 3.21

### HAS608 

# G-15 Table G-17

**2018 RUNWAY EXTENSION CONSTRUCTI ON VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 1.67 1.56 0.00 0.30 0.24 0.24

Bulldozer 5.05 1.99 0.01 0.52 0.30 0.29

Concrete Truck 0.25 0.12 0.00 0.03 0.02 0.02

Dump Truck 32.56 4.70 0.05 3.20 0.98 0.95

Excavator 1.94 0.71 0.00 0.27 0.11 0.11

Grader 2.74 1.01 0.01 0.38 0.18 0.17

Loader 0.89 0.83 0.00 0.16 0.13 0.13

Milling Machine 0.69 0.30 0.00 0.05 0.04 0.04

Paver 0.25 0.11 0.00 0.03 0.02 0.02

Pick-up Truck 9.51 4.18 0.01 0.75 0.58 0.57

Roller 1.76 0.89 0.00 0.17 0.14 0.13

Total 57.30 16.42 0.09 5.87 2.74 2.66



# Runway 12L/30R Upgrade Project. Runway 12L/30R will be upgraded to

accommodate heavier aircraft, which will involve repaving the existing surface

(approximately 120,883 m 2 

# ). It is assumed that the pro ject will be completed within one

year with a 13% reduction in paving area as compared to the 2005 9/27 Project at IAH.

The construction vehicle emissions for the future Runway 12L/30R Upgrade Project are

presented in Table G-18 for 2011, Table G-19 for 2014, Table G-20 for 2017, and Table G21 for 2018.

### HAS608 

# G-16 Table G-18

**2011 12L/30R UPGRADE CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 0.90 0.31 0.00 0.06 0.05 0.05

Paint Truck 0.11 0.06 0.00 0.01 0.01 0.01

Paver 0.13 0.06 0.00 0.01 0.01 0.01

Primer Truck 0.04 0.02 0.00 0.01 0.00 0.00

Reclaimer 0.06 0.02 0.00 0.01 0.00 0.00

Roller 0.24 0.13 0.00 0.02 0.02 0.02

Sweeper 0.07 0.03 0.00 0.01 0.00 0.00

Tack Truck 0.11 0.06 0.00 0.01 0.01 0.01

Trimmer 0.02 0.01 0.00 0.01 0.00 0.00

Total 1.68 0.71 0.00 0.12 0.11 0.11

### HAS608 

# G-17 Table G-19

**2014 12L/30R UPGRADE CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 3.92 1.10 0.01 0.31 0.18 0.18

Paint Truck 0.09 0.05 0.00 0.01 0.01 0.01

Paver 0.09 0.04 0.00 0.01 0.01 0.01

Primer Truck 0.02 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.04 0.01 0.00 0.00 0.00 0.00

Roller 0.29 0.15 0.00 0.01 0.02 0.02

Sweeper 0.05 0.02 0.00 0.00 0.00 0.00

Tack Truck 0.09 0.05 0.00 0.01 0.01 0.01

Trimmer 0.02 0.01 0.00 0.00 0.00 0.00

Total 4.62 1.44 0.01 0.36 0.23 0.23

### HAS608 

# G-18 Table G-20

**2017 12L/30R UPGRADE CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.86 0.52 0.00 0.27 0.10 0.10

Paint Truck 0.08 0.04 0.00 0.01 0.01 0.00

Paver 0.06 0.03 0.00 0.01 0.00 0.00

Primer Truck 0.03 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.03 0.01 0.00 0.00 0.00 0.00

Roller 0.12 0.06 0.00 0.01 0.01 0.01

Sweeper 0.03 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.08 0.04 0.00 0.01 0.01 0.00

Trimmer 0.01 0.01 0.00 0.00 0.00 0.00

Total 3.30 0.73 0.00 0.31 0.13 0.13

### HAS608 

# G-19 Table G-21

**2018 12L/30R UPGRADE CONSTRUCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.61 0.38 0.00 0.26 0.08 0.08

Paint Truck 0.07 0.03 0.00 0.01 0.00 0.00

Paver 0.06 0.02 0.00 0.01 0.00 0.00

Primer Truck 0.02 0.01 0.00 0.01 0.00 0.00

Reclaimer 0.03 0.01 0.00 0.00 0.00 0.00

Roller 0.11 0.06 0.00 0.01 0.01 0.01

Sweeper 0.03 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.07 0.03 0.00 0.01 0.00 0.00

Trimmer 0.01 0.01 0.00 0.00 0.00 0.00

Total 3.01 0.56 0.00 0.29 0.11 0.10



# The project consisted of paving approximately 120,883m 2 

# of the airfield. It was assumed

that 5 layers of pavement would be laid. Table G-22 presents the emissions directly

from the asphalt associated with the future Runway 12L/30R Upgrade Project.

Table G-22

**12L/30R ASPHALT EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 604,415 298 mg/m 2 

# 0.198

PM

2.5 

# 604,415 9.05 g/m 2 

# 6.017



# Taxiway J Project. Taxiway J will be created, which will provide a link between

Runways 12R/30L and 4/22. It will be approximately 584 m long and 24 m wide

(14,016 m 2 

# ). It is assumed that the project w ill not require substantial earth-moving

activities, as it is centrally located on the airf ield. It will, however, require significant

paving activities (a 37% reduction based on the 2005 9/27 Project at IAH), but should be

completed within one year. The construction vehicle emissions for the future Taxiway J

Project are presented in Table G-23 for 2011, Table G-24 for 2014, Table G-25 for 2017,

and Table G-26 for 2018.

### HAS608 

# G-20 Table G-23

**2011 TAXIWAY J CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5 

# Dump Truck 0.65 0.23 0.00 0.05 0.04 0.03

Paint Truck 0.08 0.05 0.00 0.01 0.01 0.01

Paver 0.09 0.04 0.00 0.01 0.01 0.01

Primer Truck 0.03 0.02 0.00 0.01 0.00 0.00

Reclaimer 0.04 0.01 0.00 0.01 0.00 0.00

Roller 0.17 0.09 0.00 0.01 0.01 0.01

Sweeper 0.05 0.02 0.00 0.01 0.00 0.00

Tack Truck 0.08 0.05 0.00 0.01 0.01 0.01

Trimmer 0.01 0.01 0.00 0.01 0.00 0.00

Total 1.21 0.51 0.00 0.09 0.08 0.08

Table G-24

**2014 TAXIWAY J CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.84 0.79 0.01 0.22 0.13 0.13

Paint Truck 0.07 0.04 0.00 0.01 0.00 0.00

Paver 0.07 0.03 0.00 0.01 0.01 0.01

Primer Truck 0.01 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.03 0.01 0.00 0.00 0.00 0.00

Roller 0.13 0.07 0.00 0.01 0.01 0.01

Sweeper 0.04 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.07 0.04 0.00 0.01 0.00 0.00

Trimmer 0.01 0.01 0.00 0.00 0.00 0.00

Total 3.27 1.00 0.01 0.26 0.17 0.16

### HAS608 

# G-21 Table G-25

**2017 TAXIWAY J CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.07 0.38 0.00 0.19 0.07 0.07

Paint Truck 0.05 0.03 0.00 0.00 0.00 0.00

Paver 0.05 0.02 0.00 0.00 0.00 0.00

Primer Truck 0.02 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.02 0.01 0.00 0.00 0.00 0.00

Roller 0.09 0.05 0.00 0.01 0.01 0.01

Sweeper 0.02 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.05 0.03 0.00 0.00 0.00 0.00

Trimmer 0.01 0.00 0.00 0.00 0.00 0.00

Total 2.39 0.53 0.00 0.22 0.10 0.09

Table G-26

**2018 TAXIWAY J CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 1.89 0.27 0.00 0.19 0.06 0.06

Paint Truck 0.05 0.02 0.00 0.00 0.00 0.00

Paver 0.04 0.02 0.00 0.00 0.00 0.00

Primer Truck 0.02 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.02 0.01 0.00 0.00 0.00 0.00

Roller 0.08 0.04 0.00 0.01 0.01 0.01

Sweeper 0.02 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.05 0.02 0.00 0.00 0.00 0.00

Trimmer 0.01 0.00 0.00 0.00 0.00 0.00

Total 2.18 0.41 0.00 0.21 0.08 0.07

### HAS608 

# G-22 The Taxiway J Project will consist of paving approximately 14,016m 2 

# of the airfield. It

was assumed that 5 layers of pavement would be laid. Table G-27 presents the

emissions directly from the asphalt associ ated with the future Taxiway J Project.

Table G-27

**TAXIWAY J ASPHALT EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) Emission Rate Total Emissions

VOC 70,080 298 mg/m 2 

# 0.023

PM

2.5 

# 70,080 9.05 g/m 2 

# 0.698



# Freight Facility Expansion Project. The existing air cargo area will be expanded by

adding several cargo buildings (two were ass umed) and additional parking apron area

for aircraft (approximately 63,375 m 2 

# ). It was assumed that no significant earth-moving

activities will be required, but will require the construction of two hangar-sized

buildings and re-paving existing airfield areas . The construction vehicle emissions for

the construction portion of the future Freight Facility Project are presented in

Table G-28 for 2011, Table G-29 for 2014, Tabl e G-30 for 2017, and Table G-31 for 2018.

The vehicle emissions for the paving portion of the Freigh t Facility Project (with a 54%

reduction based on the 2005 9/27 Project at IAH) are presented in Table G-32 for 2011,

Table G-33 for 2014, Table G-34 for 2017, and Table G-35 for 2018.

Table G-28

**2011 FREIGHT FACILITY (CARGO) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.08 0.08 0.00 0.02 0.01 0.01

Cement Mixer 0.02 0.01 0.00 0.01 0.00 0.00

Concrete Saw 0.18 0.09 0.00 0.01 0.01 0.01

Crane 1.21 0.58 0.00 0.08 0.08 0.08

Dozer 0.12 0.05 0.00 0.01 0.01 0.01

Drilling Rig 0.48 0.23 0.00 0.03 0.03 0.03

Dumper/Tender 0.35 0.12 0.00 0.02 0.02 0.02

Grader 0.13 0.05 0.00 0.01 0.01 0.01

Loader 0.08 0.08 0.00 0.02 0.01 0.01

Pick-up Trucks 9.09 4.32 0.02 0.63 0.60 0.58

Plate Compactor 0.18 0.09 0.00 0.01 0.01 0.01

Scraper 0.30 0.14 0.00 0.02 0.02 0.02

Trencher 0.06 0.03 0.00 0.01 0.01 0.00

Total 12.28 5.85 0.03 0.88 0.82 0.80

### HAS608 

# G-23 Table G-29

**2014 FREIGHT FACILITY (CARGO) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.06 0.06 0.00 0.01 0.01 0.01

Cement Mixer 0.01 0.01 0.00 0.00 0.00 0.00

Concrete Saw 0.02 0.01 0.00 0.00 0.00 0.00

Crane 0.41 0.10 0.00 0.06 0.02 0.02

Dozer 0.08 0.04 0.00 0.02 0.01 0.01

Drilling Rig 0.19 0.06 0.00 0.02 0.01 0.01

Dumper/Tender 0.01 0.01 0.00 0.00 0.00 0.00

Grader 0.09 0.03 0.00 0.01 0.01 0.01

Loader 0.06 0.06 0.00 0.01 0.01 0.01

Pick-up Trucks 7.23 3.23 0.01 0.50 0.45 0.44

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.22 0.10 0.00 0.01 0.01 0.01

Trencher 0.06 0.03 0.00 0.00 0.00 0.00

Total 8.46 3.75 0.01 0.61 0.53 0.52

Table G-30

**2017 FREIGHT FACILITY (CARGO) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.05 0.05 0.00 0.01 0.01 0.01

Cement Mixer 0.01 0.01 0.00 0.00 0.00 0.00

Concrete Saw 0.02 0.01 0.00 0.00 0.00 0.00

Crane 0.28 0.07 0.00 0.02 0.01 0.01

Dozer 0.06 0.02 0.00 0.01 0.00 0.00

Drilling Rig 0.16 0.05 0.00 0.01 0.01 0.01

Dumper/Tender 0.01 0.01 0.00 0.00 0.00 0.00

Grader 0.05 0.02 0.00 0.01 0.00 0.00

Loader 0.05 0.05 0.00 0.01 0.01 0.01

Pick-up Trucks 5.47 2.41 0.01 0.41 0.34 0.33

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.07 0.04 0.00 0.01 0.00 0.00

Trencher 0.05 0.02 0.00 0.00 0.00 0.00

Total 6.28 2.75 0.01 0.49 0.39 0.38

### HAS608 

# G-24 Table G-31

**2018 FREIGHT FACILITY (CARGO) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.05 0.04 0.00 0.01 0.01 0.01

Cement Mixer 0.01 0.01 0.00 0.00 0.00 0.00

Concrete Saw 0.02 0.01 0.00 0.00 0.00 0.00

Crane 0.24 0.07 0.00 0.02 0.01 0.01

Dozer 0.05 0.02 0.00 0.01 0.00 0.00

Drilling Rig 0.15 0.05 0.00 0.01 0.01 0.01

Dumper/Tender 0.01 0.01 0.00 0.00 0.00 0.00

Grader 0.04 0.02 0.00 0.01 0.00 0.00

Loader 0.05 0.04 0.00 0.01 0.01 0.01

Pick-up Trucks 4.96 2.18 0.01 0.39 0.30 0.30

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.07 0.03 0.00 0.01 0.00 0.00

Trencher 0.04 0.02 0.00 0.00 0.00 0.00

Total 5.69 2.49 0.01 0.47 0.35 0.34

Table G-32

**2011 FREIGHT FACILITY (PAVING) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5 

# Dump Truck 0.48 0.17 0.00 0.03 0.03 0.03

Paint Truck 0.06 0.03 0.00 0.01 0.00 0.00

Paver 0.07 0.03 0.00 0.01 0.01 0.01

Primer Truck 0.02 0.01 0.00 0.01 0.00 0.00

Reclaimer 0.03 0.01 0.00 0.01 0.00 0.00

Roller 0.12 0.07 0.00 0.01 0.01 0.01

Sweeper 0.04 0.01 0.00 0.01 0.00 0.00

Tack Truck 0.05 0.03 0.00 0.01 0.00 0.00

Trimmer 0.01 0.01 0.00 0.01 0.00 0.00

Total 0.88 0.37 0.00 0.07 0.06 0.06

### HAS608 

# G-25 Table G-33

**2014 FREIGHT FACILITY (PAVING) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 2.07 0.58 0.00 0.16 0.10 0.10

Paint Truck 0.05 0.03 0.00 0.00 0.00 0.00

Paver 0.05 0.02 0.00 0.00 0.00 0.00

Primer Truck 0.01 0.00 0.00 0.00 0.00 0.00

Reclaimer 0.02 0.01 0.00 0.00 0.00 0.00

Roller 0.09 0.05 0.00 0.01 0.01 0.01

Sweeper 0.03 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.04 0.02 0.00 0.00 0.00 0.00

Trimmer 0.01 0.00 0.00 0.00 0.00 0.00

Total 2.38 0.73 0.00 0.19 0.12 0.12

Table G-34

**2017 FREIGHT FACILITY (PAVING) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 1.51 0.28 0.00 0.14 0.05 0.05

Paint Truck 0.04 0.02 0.00 0.00 0.00 0.00

Paver 0.03 0.02 0.00 0.00 0.00 0.00

Primer Truck 0.01 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.02 0.01 0.00 0.00 0.00 0.00

Roller 0.07 0.03 0.00 0.01 0.01 0.01

Sweeper 0.02 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.03 0.02 0.00 0.00 0.00 0.00

Trimmer 0.01 0.00 0.00 0.00 0.00 0.00

Total 1.74 0.38 0.00 0.16 0.07 0.07

### HAS608 

# G-26 Table G-35

**2018 FREIGHT FACILITY (PAVING) CONSTR UCTION VEHICLE EMISSIONS (TONS)** 

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Dump Truck 1.38 0.20 0.00 0.14 0.04 0.04

Paint Truck 0.04 0.02 0.00 0.00 0.00 0.00

Paver 0.03 0.01 0.00 0.00 0.00 0.00

Primer Truck 0.01 0.01 0.00 0.00 0.00 0.00

Reclaimer 0.02 0.01 0.00 0.00 0.00 0.00

Roller 0.06 0.03 0.00 0.01 0.00 0.00

Sweeper 0.02 0.01 0.00 0.00 0.00 0.00

Tack Truck 0.03 0.02 0.00 0.00 0.00 0.00

Trimmer 0.01 0.00 0.00 0.00 0.00 0.00

Total 1.59 0.29 0.00 0.15 0.06 0.05



# The Freight Facility Expansion Project will consist of paving approximately 63,375m 2 

# of

the airfield. It was assumed that 5 layers of pavement would be laid. Table G-36

presents the emissions directly from the asphalt associated with the Freight Facility

Project.

Table G-36

**FREIGHT FACILITY ASPHALT EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Pollutant Surface Area (m 2 

# ) 

# Emission Rate Total Emissions

VOC 316,875 298 mg/m 2 

# 0.103

PM

2.5 

# 316,875 9.05 g/m 2 

# 3.154

Small Construction Projects . There will be a variety of smaller construction projects

that, individually, generated minor emission s, but cumulatively generate a significant

amount of emissions. These projects include: (1) new runway lighting; (2) passenger

parking garage construction; (3) demolition an d construction of several small buildings;

and (4) rehab of several small taxiways. It was assumed that the cumulative emissions

from these projects are approximately 25% of th e emissions from the larger projects at

HOU. The emissions from the other pro jects and the cumulative amount of future

construction emissions generated at HOU are presented in Tables G-37 for 2011, Table

G-38 for 2014, Table G-39 for 2017, and Table G-40 for 2018.

### HAS608 

# G-27 Table G-37

**2011 FUTURE CONSTRUCTION EMISSIONS AT HOU (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# 17/35 125.98 50.25 0.32 8.52 7.55 7.33

12L/30R 1.68 0.71 0.00 0.32 6.13 6.13

Taxiway J 1.21 0.51 0.00 0.11 0.78 0.78

Freight 13.16 6.22 0.03 1.05 4.03 4.01

Subtotal 142.03 57.69 0.35 10.00 18.49 18.25

Other 35.51 14.42 0.09 2.50 4.62 4.56

Total 177.54 72.11 0.44 12.50 23.11 22.81

Table G-38

**2014 FUTURE CONSTRUCTION EMISSIONS AT HOU (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# 17/35 89.19 32.90 0.17 7.31 5.33 5.17

12L/30R 4.62 1.44 0.01 0.56 6.25 6.25

Taxiway J 3.27 1.00 0.01 0.28 0.87 0.86

Freight 10.84 4.48 0.01 0.90 3.88 3.87

Subtotal 107.92 39.82 0.20 9.05 16.33 16.15

Other 4.48 9.96 0.05 2.26 4.08 4.04

Total 112.40 49.78 0.25 11.31 20.41 20.19

### HAS608 

# G-28 Table G-39

**2017 FUTURE CONSTRUCTION EMISSIONS AT HOU (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# 17/35 63.76 19.88 0.09 6.16 3.30 3.21

12L/30R 3.30 0.73 0.00 0.51 6.15 6.15

Taxiway J 2.39 0.53 0.00 0.24 0.80 0.79

Freight 8.02 3.13 0.01 0.75 3.61 3.59

Subtotal 77.47 24.27 0.10 7.66 13.86 13.74

Other 19.37 6.07 0.03 1.92 3.47 3.44

Total 96.84 30.34 0.13 9.58 17.33 17.18

Table G-40

**2018 FUTURE CONSTRUCTION EMISSIONS AT HOU (TONS)**

HAS Emissions Inventory Study



# Project NOx CO SO

2 

# VOC PM

10 

# PM

2.5



# 17/35 57.30 16.42 0.09 5.87 2.74 2.66

12L/30R 3.01 0.56 0.00 0.49 6.13 6.13

Taxiway J 2.18 0.41 0.00 0.23 0.78 0.77

Freight 7.28 2.78 0.01 0.72 3.56 3.54

Subtotal 69.77 20.17 0.10 7.31 13.21 13.10

Other 17.44 5.04 0.03 1.83 3.30 3.28

Total 87.21 25.21 0.13 9.14 16.51 16.38



# F.4.2 Ellington Field

A new air traffic control (ATC) tower is planned to be built at EFD. While the project is

certain to occur, the precise year of construction is unknown. As such, the construction

emissions have been calculated and can be applied in the year that the project actually

occurs. The future construction vehicle emission s from the future ATC Tower Project

are presented in Table G-41 for 2011, Ta ble G-42 for 2014, Table G-43 for 2017, and

Table G-44 for 2018.

### HAS608 

# G-29 Table G-41

**2011 ATC TOWER CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.04 0.04 0.00 0.01 0.01 0.01

Cement Mixer 0.01 0.01 0.00 0.01 0.00 0.00

Concrete Saw 0.09 0.04 0.00 0.01 0.01 0.01

Crane 0.61 0.29 0.00 0.04 0.04 0.04

Dozer 0.06 0.03 0.00 0.01 0.00 0.00

Drilling Rig 0.24 0.12 0.00 0.02 0.02 0.02

Dumper/Tender 0.18 0.06 0.00 0.01 0.01 0.01

Grader 0.07 0.03 0.00 0.01 0.00 0.00

Loader 0.04 0.04 0.00 0.01 0.01 0.01

Pick-up Trucks 4.54 2.16 0.01 0.32 0.30 0.29

Plate Compactor 0.09 0.04 0.00 0.01 0.01 0.01

Scraper 0.15 0.07 0.00 0.01 0.01 0.01

Trencher 0.03 0.02 0.00 0.01 0.00 0.00

Total 6.14 2.92 0.01 0.44 0.41 0.40

Table G-42

**2014 ATC TOWER CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.03 0.03 0.00 0.01 0.00 0.00

Cement Mixer 0.01 0.00 0.00 0.00 0.00 0.00

Concrete Saw 0.01 0.01 0.00 0.00 0.00 0.00

Crane 0.20 0.05 0.00 0.01 0.01 0.01

Dozer 0.04 0.02 0.00 0.00 0.00 0.00

Drilling Rig 0.10 0.03 0.00 0.01 0.01 0.01

Dumper/Tender 0.00 0.00 0.00 0.00 0.00 0.00

Grader 0.05 0.02 0.00 0.00 0.00 0.00

Loader 0.03 0.03 0.00 0.01 0.00 0.00

Pick-up Trucks 3.62 1.62 0.01 0.25 0.23 0.22

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.11 0.05 0.00 0.01 0.01 0.01

Trencher 0.03 0.02 0.00 0.00 0.00 0.00

Total 4.23 1.88 0.01 0.30 0.27 0.26

### HAS608 

# G-30 Table G-43

**2017 ATC TOWER CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.03 0.02 0.00 0.00 0.00 0.00

Cement Mixer 0.01 0.00 0.00 0.00 0.00 0.00

Concrete Saw 0.01 0.00 0.00 0.00 0.00 0.00

Crane 014 0.04 0.00 0.01 0.01 0.01

Dozer 0.03 0.01 0.00 0.00 0.00 0.00

Drilling Rig 0.08 0.02 0.00 0.01 0.00 0.00

Dumper/Tender 0.00 0.00 0.00 0.00 0.00 0.00

Grader 0.03 0.01 0.00 0.00 0.00 0.00

Loader 0.03 0.02 0.00 0.00 0.00 0.00

Pick-up Trucks 2.73 1.20 0.00 0.21 0.17 0.16

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.04 0.02 0.00 0.00 0.00 0.00

Trencher 0.02 0.01 0.00 0.00 0.00 0.00

Total 3.14 1.38 0.00 0.25 0.20 0.19

Table G-44

**2018 ATC TOWER CONSTRUCTION VEHICLE EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Equipment NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# Back Hoe 0.02 0.02 0.00 0.00 0.00 0.00

Cement Mixer 0.01 0.00 0.00 0.00 0.00 0.00

Concrete Saw 0.01 0.00 0.00 0.00 0.00 0.00

Crane 0.12 0.03 0.00 0.01 0.01 0.01

Dozer 0.02 0.01 0.00 0.00 0.00 0.00

Drilling Rig 0.07 0.02 0.00 0.01 0.00 0.00

Dumper/Tender 0.00 0.00 0.00 0.00 0.00 0.00

Grader 0.02 0.01 0.00 0.00 0.00 0.00

Loader 0.02 0.02 0.00 0.00 0.00 0.00

Pick-up Trucks 2.48 1.09 0.00 0.20 0.15 0.15

Plate Compactor 0.00 0.00 0.00 0.00 0.00 0.00

Scraper 0.03 0.02 0.00 0.00 0.00 0.00

Trencher 0.02 0.01 0.00 0.00 0.00 0.00

Total 2.84 1.25 0.00 0.23 0.18 0.17

### HAS608 

# G-31 **G.4.3 George Bush Intercontinental Airport**

Projects expected to be constructed at IAH during the study period were identified by

reviewing the IAH Master Plan (MP) and Ca pital Improvement Plan (CIP). The projects

selected for this assessment are based on discussions with HAS staff regarding

feasibility and anticipated funding, are indiv idually listed in Section 9 and repeated

below:

1. Extension of Secure Automated Pe ople Movers (APM) to Terminal A

2. North Terminal B Improvements

3. South Terminal B Improvements

4. Terminal D Improvements

5. Relocate TRACON

6. Cross Field Taxiway SF1

7. Taxiway SF1 Extension

8. Will Clayton Parkway/Terminal Area Interchange

9. Air Cargo Expansion

10. Hotel Area Roadways

11. Relocate ARFF Station

12. Will Clayton Parkway Overpass at Kenswick Drive

13. JFK Boulevard Elevated Lanes and Widening

14. Terminal A Improvements

15. Airport Maintenance Facilities Relocation

16. New Terminal Roads

17. Expand Fuel Farm

18. Will Clayton Parkway Remote Parking

19. Runway 26L End Around Taxiway

20. Runway 26L Bypass Holding Pads

21. Airline Maintenance Relocation (Continental Airlines)

22. Runway 8R End Around Taxiway and Holding Pad

23. Arterial Street Improvements

24. Relocate Flight Kitchen to Central Receiving Area

25. New Terminal Parking Garage and Commercial Vehicle Staging

26. Extension of Non-Secure APM to Future New Terminal Site

27. Runway 9 Bypass Holding Pad

28. Runway 27 Bypass Holding Pad

29. East Terminal Area Site Preparation

30. Runway 9R-27L

31. Runway 9R West Access Taxiway s

32. Runway 9R North Access Taxiways

33. Runway 27R End Around Taxiways

34. Will Clayton Parkway Elevated Lanes and Relocation

35. East Terminal Apron and Taxiways

36. East Terminal Building

37. Extension of Secure Passenger Conveyance System

### HAS608 

# G-32 38. Light Rail to RCC

39. Demolish Existing Hotel & Terminal Buildings

40. Air Cargo Expansion

41. Runway 8C/26C

42. Underground Secure APM

43. Administrative Building

44. Miscellaneous Airfield Pavement Replacement

45. Consolidated Communications Center

46. Rehabilitate Taxiways WA and WB

47. Reconstruct Taxiways SA and SB

48. Ditch N Extension Greens Road West of Old Rankin Road

49. New Houston Police Department Facility

50. New GT Staging Area

51. Landside Roadway Rehabilitation – Roads/Manholes/Utilities

52. Reconstruct Taxiway NA and NB

53. Concrete Line South Bank of Greens Road Detention Pond

54. Relocate Kenswick Ditch/Holding Pond

55. New Detention Pond North – West (Turkey Creek)

56. Building Demolition in Areas 4 and 5

Table G-45 summarized the forecasted emission s associated with these projects, by year.

Table G-45

**FUTURE IAH CONSTRUCTION EMISSIONS (TONS)**

HAS Emissions Inventory Study



# Year NO

X 

# CO SO

2 

# VOC PM

10 

# PM

2.5



# 2009 53.21 70.73 0.71 8.19 8.95 3.09

2010 32.45 34.99 0.26 4.30 7.81 2.08

2011 27.03 51.92 0.46 9.62 9.00 3.31

2012 113.70 117.96 0.38 16.05 11.80 5.44

2013 138.66 103.87 0.48 18.41 12.66 5.89

2014 71.74 112.43 1.10 24.13 13.02 6.80

2015 52.92 60.21 0.22 9.62 9.21 3.06

2016 9.61 18.76 0.05 2.14 6.76 1.12

2017 40.92 91.34 0.22 10.09 8.79 2.75

2018 75.07 177.56 1.22 31.91 13.80 6.86

2019 20.54 46.43 0.19 6.98 7.63 1.62

2020 7.45 21.62 0.06 2.38 6.66 1.00

2021 2.82 8.62 0.03 1.01 6.34 0.76



# In order to calculate construction emission it was first necessary to develop a

construction schedule for the anticipated projects. The next step was to determine the

### HAS608 

# G-33 annual number of hours off-road equipm ent would operate and the miles on-road

equipment would travel. The final step wa s to apply appropriate emission factors to

this data to develop quantities of emissions on an annual basis.

Off-road equipment are typically used to move and grade fill materials, install utilities,

pave runway/taxiway/apron/parking surfaces, construct buildings, and install other

miscellaneous airfield support features. Th ese include a variety of scrapers, loaders,

dozers, cranes, and off-road haul trucks. On-road vehicles include transport trucks for

the delivery of raw materials, supplies, and equipment; removal of excavated and waste

material; and the personal vehicles used by the construction workers. Emissions from

fugitive dust and VOC off-gasing of asph alt paving were also determined.

Emissions from construction activities were estimated based on the projected

construction activity schedule, the number of vehicles/pieces of equipment, the types of

equipment/type of fuel used, vehicle/equ ipment utilization rates, and the year

construction occurs.

Data regarding the number of pieces and types of construction equipment to be used on

the project, the deployment schedule of eq uipment (monthly and annually), and the

approximate daily operating time (including power level or usage factor) were

estimated for each individual construction project based on a schedule of construction

activity.

A usage factor accounting for the percen tage of daily operation and a load factor

accounting for the average throttle setting relative to capacity were used. That is, a

usage factor of 0.75 equates to six hours of operation and a load factor of 0.62 equates to

62 percent of capacity during operation. For the off-road equipment sulfur dioxide and

particulate matter emission factors, a diesel sulfur content of 15 parts per million (ultra

low sulfur diesel fuel) was assumed, based on EPA mandated regulations effective June

2010.

For on

‐ road vehicles, the anticipated vehicle miles traveled were estimated to determine

annual emissions. The following equations were used to obtain annual emission rates

for off

‐ road equipment and on

‐ road vehicles:

Emission Rate (tons/year)

= Emission Factor (g/hp

‐ hr) * size (hp) * 8 hours per day * Usage

Factor * days/year * Load Factor * (1/(453.59*2000) tons/g)

Emission Rate (tons/year)

= Emission Factor (g/mile) * speed (miles/hour) * hours per day *

days/year * (1/(453.59*2000 tons/g)

Additionally, the construction emissions inventories for fugitive dust sources were

calculated using emission factors within EPA’s AP-42 and other publications. Fugitive

dust emissions result from the following ac tivities: grading, moving soil, and digging,

loading/unloading of trucks, movement of trucks on unpaved surfaces, and wind

erosion of stockpiles. A fugitive dust emiss ion factor of 10 pounds per day per acre

### HAS608 

# G-34 disturbed was used. For the purpose of the analysis and based on plans for the

proposed improvements, a daily maximum distu rbed acreage of 15 acres was assumed.

PM

2.5 

# was assumed to be 10 percent of PM

10 

# based on AP-42. Erosion control measures

and water programs are typically taken to mi nimize these fugitive dust and particulate

emissions. A dust control efficiency of 75 percent due to daily watering and other

measures was estimated based on AP-42.

# Part A, Attachment A

Southwest Airlines Co. Correspondence

# Part B

Landrum and Brown Technical Memorandum

# memo

Landrum & Brown

11279 Cornell Park Drive

Cincinnati, OH 45242

513.530.5333 | 513.530.1278 fax

www.landrum-brown.com 

# This technical memorandum presents an analysis of air emissions that may be

caused by a population of ground support equipment (GSE). Information about

each piece of equipment from the 2005 and 2007 inventory was provided to

Landrum & Brown (L&B) by Continental Airlines on Microsoft ® EXCEL spreadsheets.

Methodology

The GSE emissions inventory was estimated using the FAA Emissions and

Dispersion Modeling System (EDMS) computer model Version 5.1. The FAA EDMS

computer program is the FAA-required an d USEPA-approved model for estimating

emissions and calculating pollutant concentrations from airport-specific sources

such as GSE.

The GSE in this analysis were modeled by population, not by assignment to an

individual aircraft operation. The da ta for 2005 and 2007 provided the total

estimated activity per year of GSE which was assumed to contain GSE operations at

various gate assignments. The GSE emis sion factors used by EDMS are derived

from EPA’s NONROAD2005 model.

For 2005, there were 836 pieces of GSE. The GSE type, fuel type, horsepower,

load factor, activity in hours per year, year of manufacture, and the internal ID

were input into the EDMS model for analysis. Five GSE from the 2005 inventory

were not included in the analysis due to lack of sufficient data (Air Compressor

internal ID 9474R, MX Boom Lift 107865, MX Boom Lift 103321, Pickup 105392,

and Truck 1512).

To: MARIANNE CSAKY, DIRECTOR GLOBAL ENVIRONMENTAL AFFAIRS CONTINENTAL AIRLINES

From: Rob Adams, Vice President

Cc: Chris Babb, David Billiter, Ginny Raps

Date: January 21, 2009

Re: GSE Emissions Inventory

# memo

Landrum & Brown

11279 Cornell Park Drive

Cincinnati, OH 45242

513.530.5333 | 513.530.1278 fax

www.landrum-brown.com 

# GSE emissions were projected for the foll owing future years (2011, 2014, 2017,

and 2018). Based on the 2007 inventory, all future year s included 1,258 pieces of

GSE, an increase of 422 GSE from 2005. As with the 2005 data, the GSE type, fuel

type, horsepower, load factor, activity in hours per year, year of manufacture, and

the internal ID were input into the EDMS model for analysis.

The activity levels of GSE were increased in relation to the total number of aircraft

operations included in the Terminal Area Forecast (TAF) for Houston’s George Bush

Intercontinental Airport (IAH). The percent change in the total operations for each

year of interest, as compared to 2007, was applied to the GSE activity levels. The

percent change for each year is given in Table 1, Terminal Area Forecast.

Table 1

TERMINAL AREA FORECAST

Fiscal Year Total Aircraft

Operations Percent

Change

2007 603,374 --

2011 590,527 -2.1%

2014 639,149 6.0%

2017 686,154 13.7%

2018 702,957 16.5%

Source: Federal Aviation Administration, Terminal

Area Forecast for George Bush Intercontinental

Airport. Forecast Issued December 2008.



# Once a particular piece of equipment is deemed to exceed the useful life then other

operating, maintenance, and mechanical fa ctors would assist in determining when

the unit is going to be replaced. However, for this analysis it was assumed when

the useful life for a GSE was reached, the GSE would be replaced in kind with the

same fuel type. The useful life for GSE by type is given in Table 2, GSE Useful

life

.

# memo

Landrum & Brown

11279 Cornell Park Drive

Cincinnati, OH 45242

513.530.5333 | 513.530.1278 fax

www.landrum-brown.com 

# Table 2

GSE USEFUL LIFE

Description Useful Life

(years)

Air Conditioner 12

Aircraft Heater 12

Air Start 18

Bag Tug 18

Beltloader 18

Container Loader 20

Deicer 15

Electric Passenger Cart 6

Electric Service Cart 6

Freight Tug 12

Forklift 12

Fuel Cart 12

Fuel Truck 12

Golf Cart 12

Ground Power Unit 10

High Speed Tug 15

Lavatory Cart 15

Lavatory Truck 15

Mail Cart 15

Maintenance Boom 18

Maintenance Lift 18

Manual Passenger Stairs 15

LD3 Dolly 15

LD7 Dolly 15

LD8 Dolly 15

Baggage Cart 15

Freight Cart 15

Passenger Stairs 18

Pushback Tractor 18

Pick Up Truck 12

Sweeper 18

Towbar 18

Towbarless Tractor 10

Van 15

Water Cart 15

Water Truck 15

Source: Continental Airlines, 2009.

# memo

Landrum & Brown

11279 Cornell Park Drive

Cincinnati, OH 45242

513.530.5333 | 513.530.1278 fax

www.landrum-brown.com 

# Results

Total annual emissions are given in Table 3, GSE Emissions Inventory . EDMS

input/output files are supplied with this memorandum. Due to the existing age of

the GSE fleet, a majority of the units would need to be replaced by 2018. A

substantial number of GSE were converted to electric from 2005 to 2007. From

2007 to 2018 a total of 556 GSE was assumed to be replaced. Therefore, there

would be a significant decrease in emissions from 2005 to 2018.

Table 3

GSE EMISSIONS INVENTORY

Total project Emissions

(tons per year) 

# Year

CO VOC NO

x 

## SO

x 

## PM 10 

## PM 2.5



# 2005 7,650.80 222.29 435.02 83.98 10.31 9.86

2011 6,676.61 192.42 393.01 65.91 13.44 12.90

2014 5,998.73 172.05 356.01 68.97 13.77 13.20

2017 4,593.99 130.94 273.35 70.90 11.90 11.38

2018 

# 3,175.45 90.36 202.12 70.13 10.51 10.03

Source: Landrum & Brown, 2009.

# Part B, Attachment A

Continental Airlines Correspondence

# Global Environmental Affairs

1600 Smith St. (HQSEN)

Houston, TX 77002



# March 26, 2009

Peter Ogbeide

TCEQ Air Quality Division, MC

Ͳ 164

P.O. Box 13087

Austin, TX 78711

Ͳ 3087

Sent via email

Re: March 26, 2009 Update to Houston Airport System Emissions Inventory Study Draft

Dear Peter,

Continental Airlines, Inc. (Continental) has previously commented on the Draft Houston Airport System

(HAS) Emission Inventory S t udy dated January 9, 2009. On March 20, 2009, Continental provided

comments on the revised draft, dated March 16, 2009, and identified an issue pertaining to an aircraft

operations NOx increase for the 2005 baseline year.

Continental has received updated pages amending the March 20, 2009 draft from HAS to cor rect the

aircraft fleet mix. This fleet mix change eliminates the NOx increase for aircraft operations during the

2005 baseline year and addresses Continental’s concern.

Please feel free to contact myself at 713

Ͳ 324

Ͳ 6924 or suzanne.tedrow@coair.com or Marianne Csaky at

713

Ͳ 324

Ͳ 9056 or Marianne.csaky@coair.com if you have any questions or concerns.

Sincerely,

Suzanne Tedrow

Sr. Manager, Emissions Strategy & Sustainability

CC: Leah Raney, HQSEN

Marianne Csaky, HQSEN

Jim Parise, HAS (via email) 

# Part B, Attachment B

Continental Airlines Correspondence and Corrections

# Global Environmental Affairs

1600 Smith St. (HQSEN)

Houston, TX 77002



# March 20, 2009

Peter Ogbeide

TCEQ Air Quality Division, MC

Ͳ 164

P.O. Box 13087

Austin, TX 78711

Ͳ 3087

Sent via email

Re: Houston Airport System Emissions Inventory Study Draft dated March 16, 2009

Dear Peter,

Continental Airlines, Inc. (Continental) has previously commented on the Draft Houston Airport System

(HAS) Emission Inventory S tudy date d January 9, 2009. Continental has received and reviewed a revised

draft, dated March 16, 2009, of the Emissions Inventory. Continental’s previous comments on the

Emission Inventory are summarized in items 1

Ͳ 5 below. Continental believes items 1

Ͳ 5 have been

addressed.

1. Continental operations at HOU

Table A

Ͳ 15 for annual LTO operations does not include CO flights to HOU for baseline and fu t ure

year modeling.

2. Table 3

Ͳ 12

– Duplicate

This item has been corrected

3. Table 5

Ͳ 1

– Continental Catering Vehicles

Continental Catering vehicles were removed from the HAS GSE inventory, eliminating double

counting of these emissions.

4. Appendix A

Ͳ Table A

Ͳ 8 and Table A

Ͳ 15: MD

Ͳ 80 Aircraft for Continental

Continental MD80 aircraft, which are no longer part of the Continental fleet, have been

removed from the above mentioned tables.

5. Growth Assumptions

The document has been revised to utilize the 2008 FAA Terminal Area Forecast (TAF) projected

growth for aircraft operations and the associated emissions impact.

Question on Revised Document

Continental has one outsta nding question on the Emissions Inventory, which was posed to HAS earlier

today. This item pertains to a specific NOx increase between the January 2009 draft and March 2009

draft. We are awaiting a response from HAS an d the Emission Inventory consultants.

Please feel free to contact myself at 713

Ͳ 324

Ͳ 6924 or suzanne.tedrow@coair.com or Marianne Csaky at

713

Ͳ 324

Ͳ 9056 or Marianne.csaky@coair.com

.

Sincerely,

Suzanne Tedrow

Sr. Manager, Emissions Strategy & Sustainability

# CC: Leah Raney, HQSEN

Marianne Csaky, HQSEN

Jim Parise, HAS (via email)