APPENDIX A

Environ’s Air Quality Dispersion Modeling Report 

for 

SIP Attainment Demonstration

 

 

Air Quality Dispersion Modeling Report

For SIP Attainment Demonstration

(REVISED)

Prepared for: 

Kansas Department of Health and Environment

Prepared on Behalf of: 

Exide Technologies

Salina, Kansas

Prepared by: 

ENVIRON International Corporation

Atlanta, Georgia

Date: 

June 2013

Revised August 2013

Project Number: 

07-21925B
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Contents i

Contents 

 Page 

1 Introduction 1

1.1 Description of Current Operations 1

1.2 Location 1

1.3 Document Organization 2

1.4 Contact Information 3

2 Modeling Methodologies, Settings, and Input 4

2.1 Model Selection and Settings 4

2.2 Modeled Pollutants and Averaging Periods 4

2.3 Modeled Sources and Their Release Parameters 4

2.3.1 Point Sources 4

2.3.2 Volume Sources 6

2.4 Terrain Data 8

2.5 Building Downwash 9

2.6 Meteorological Data Set 10

2.6.1 Surface and Upper Air Meteorological Data 10

2.6.2 ASOS 1-Minute Meteorological Data 10

2.6.3 Surface Parameters 10

2.7 Meteorological Processing 11

2.8 Land Use Analysis 12

2.9 Receptors 12

3 Model Input, Output, and Results Submittal 14

3.1 Modeling File Submittal 14

3.2 Background Lead Concentrations 14

3.3 Post Processing in LEADPOST 14

3.4 Description of Modeling Results 14

4 Uncertainties 15

4.1 Estimation of Emissions 15

4.2 Estimation of Ambient Concentrations 15

4.2.1 Estimates from Air Dispersion Models 15

4.2.2 Source Representation 15

4.2.3 Meteorological Data Selection 16

5 References 17
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 ii Contents 

List of Tables 

Table 2-1a: Lead Emitting Point Sources Included in Dispersion Modeling Analysis 

Table 2-1b: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis 

Table 2-2: Stack Testing Dates 

Table 2-3: Proposed Changes to Point Sources 

Table 2-4: Proposed Changes to Volume Sources 

Table 2-5: Buildings Incorporated into AERMOD 

Table 2-6: Land Use Areas for Auer Analysis 

Table 2-7: Surface Parameter Values 

Table 3-1: Summary of Predicted Impacts at Maximum and Sensitive Receptors 

List of Figures 

Figure 1-1: Site Location Map 

Figure 1-2: Site and Nonattainment Area Location Map: Close View 

Figure 2-1a: Location of Point Sources of Lead 

Figure 2-1b: Location of Volume Sources of Lead: BALLFUG and Metlcast 

Figure 2-1c: Location of Volume Sources of Lead: Delivery Route 

Figure 2-1d: Location of Volume Sources of Lead: Shipping Route 

Figure 2-1e: Location of Buildings and Property Line 

Figure 2-2: Elevation Data Domain Imported into AERMAP 

Figure 2-3: Wind Rose 

Figure 2-4: Land Use Depiction Around Salina Municipal Airport 

Figure 2-5: Land Use Depiction Around Exide Battery Plant 

Figure 2-6: Receptor Placement Used in Modeling Analysis 

Figure 3-1: Maximum Concentration at Each Receptor (including 0.01ug/m3

 background) 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Contents iii

List of Acronyms and Abbreviations

AERMINUTE Wind vector conversion preprocessor to AERMET 

AERMET The meteorological preprocessor to AERMOD 

AERMOD American Meteorological Society/Environmental Protection Agency Regulatory Model 

AERSURFACE Surface parameter preprocessor to AERMOD 

BPIPPRM Building Profile Input Program Plume Rise Model enhancements 

CFR Code of Federal Regulations 

ENVIRON ENVIRON International Corporation 

Exide Exide Technologies 

HAP Hazardous Air Pollutant 

ISCST3 Industrial Source Complex-Short Term 

ISO International Standards Organization 

KDHE Kansas Department of Health and Environment 

MACT Maximum Achievable Control Technology 

Metlcast Metlcast Products Inc. 

NAAQS National Ambient Air Quality Standard 

NCDC National Climactic Data Centre 

NED National Elevation Dataset 

NLCD National Land Cover Database 

NOAA National Oceanographic and Atmospheric Administration 

NSPS New Source Performance Standards 

NWS National Weather Service 

Pb Lead 

PMI Point of Maximum Impact 

REL Reference Exposure Levels 

SIP State Implementation Plan 

USEPA United States Environmental Protection Agency 

USGS United States Geological Survey 

UTM Universal Transverse Mercator 

List of Units 

g gram 

mg milligram 

g microgram 

kg kilogram 

m meter 

km kilometer 

m2

 square meter 

m3

 cubic meter 

L liter 

s second 

min minute 

hr hour 

yr year 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Introduction 1 

1 Introduction 

Exide Technologies (Exide) owns and operates a lead-acid battery and lead oxide 

manufacturing facility (Exide Facility) at 413 East Berg Street in Salina, Kansas (Saline County). 

This facility operates under a Class II Operating Permit (Source ID Number 1690035) issued by 

the Bureau of Air and Radiation of the Kansas Department of Health and Environment (KDHE) 

on January 15, 2004. The Exide site is a non-major source for HAP emissions. 

The lead National Ambient Air Quality Standard (NAAQS) was revised by the USEPA in 

October 2008 from 1.5 μg/m3

 on a calendar quarter average to 0.15 μg/m3 on a consecutive 

three-month average. On November 8, 2011, the U.S. Environmental Protection Agency (EPA) 

designated part of the city of Salina and Saline county, Kansas (bounded by East Schilling Road 

on the north, a north-south line one quarter mile west of South Ohio Street on the east, East 

Water Well Road on the south, and South Ninth Street on the west) as nonattainment for the 

2008 lead National Ambient Air Quality Standard (NAAQS) of 0.15 μg/m3

. 

As required by the USEPA, the State of Kansas must develop and submit a State 

Implementation Plan (SIP) revision for each lead nonattainment area. The KDHE has requested 

the assistance of Exide Technologies in the development of this SIP. This document contains a 

description of the air dispersion model used to demonstrate attainment with the lead NAAQS, a 

necessary component of the revised SIP, as well as a presentation of the results of that 

modeling. The attainment demonstration includes the background lead concentration in air, the 

impact of emissions from Exide operations, and the impact of emissions from other leademitting facilities within the designated non-attainment area. It is our understanding that the only 

other lead-emitting source in the non-attainment area is Metlcast Products Inc. (Metlcast). 

1.1 Description of Current Operations 

The Exide property is approximately 46 acres in size and is located about 6 kilometers south of 

downtown Salina, Kansas in Saline County. Figure 1-1 provides an illustration of the site’s 

location. 

The Salina facility manufactures lead-acid batteries. The production operations at this facility 

consist of assembly, oxide, casting, pasting, formation, and finishing. 

Metlcast is another lead emitting facility located within the designated non-attainment area. It is 

our understanding that several small electric induction furnaces are expected to be the primary 

sources of lead emissions on site, and that these emissions are exhausted from the building 

and treated as fugitive emissions for the purpose of modeling. 

1.2 Location 

The Saline County Non-attainment area is approximately 475 acres in size (1.6 kilometers north 

to south and 1.2 kilometers east to west) bounded by East Schilling Road on the north, a northsouth line one quarter mile west of South Ohio Street on the east, East Water Well Road on the 

south, and South Ninth Street on the west. Figure 1-2 provides an illustration of the designated 

nonattainment area. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 2 Introduction 

The Exide Technologies property is located in Saline County, Kansas approximately 6 

kilometers south of downtown Salina. The property is located approximately 1,000 meters 

northeast of the Water Well Road exit off Interstate 135 (see Figure 1-1). 

The following locational information is for the approximate center of the Exide Facility: 

Exide Technologies, 413 East Berg Street, Salina, KS 67401 

USGS Topographic Map Quadrant = Salina, KS 

UTM Coordinates (NAD83); Zone = 14; Easting = 621,100 meters; Northing = 4,292,650 meters 

Base Elevation = 381 meters above Mean Sea Level (MSL) 

Metlcast Products Inc. is located in Saline County, Kansas, less than 500 m to the north of 

Exide Technologies. The following information is available for the approximate location of the 

Metlcast facility: 

Metlcast Products Inc, 401 E Avenue B, Saline KS 67401 

USGS Topographic Map Quadrant = Salina, KS 

UTM Coordinates (NAD83); Zone = 14; Easting = 620,944 meters; Northing = 4,293,109 meters 

Base Elevation = 380.5 meters above Mean Sea Level (MSL) 

1.3 Document Organization 

This SIP Attainment Demonstration Report is divided into five sections as follows: 

Section 1.0 – Introduction: describes the purpose and scope of the Ambient Air Quality 

Modeling and outlines the report organization. 

Section 2.0 – Modeling Methodologies, Settings, and Input: discusses the emissions 

estimate to be used for dispersion modeling, the selection of the dispersion model, the data 

used in the dispersion model (terrain, meteorology, source characterization) and the 

identification of receptors evaluated in this analysis. 

Section 3.0 – Model Input, Output, and Results Submittal: discusses the documentation 

that will be provided with this report for KDHE review. 

Section 4.0 – Uncertainties: summarizes some of the uncertainties resulting from various 

assumptions used in the air dispersion evaluation as well as those used in the emission 

inventory development. 

Section 5.0 – References: includes all references cited in this report. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Introduction 3 

1.4 Contact Information 

Exide Technologies has contracted with ENVIRON International Corporation to perform the air 

quality analyses for this project. The ENVIRON contact for this project is: 

Mr. Russell Kemp, PE 

ENVIRON International Corporation 

1600 Parkwood Circle 

Suite 310 

Atlanta, GA 30339 

Tel: (678) 388-1654 

Email: rkemp@environcorp.com 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 4 Modeling Methodologies, Settings, and Input 

2 Modeling Methodologies, Settings, and Input 

This section of this document summarizes our selection of the dispersion model used in this 

analysis along with its operational settings and input. 

2.1 Model Selection and Settings 

The ambient air lead concentrations within the nonattainment area were estimated using 

dispersion modeling techniques. To estimate off-property ambient air concentrations, ENVIRON 

has employed the most recent version of AERMOD (version 12345), the USEPA’s 

recommended air dispersion model (USEPA 2004a and USEPA 2009c). 

AERMOD is appropriate for use in estimating ground-level short-term ambient air 

concentrations resulting from non-reactive buoyant emissions from sources located in simple 

and complex terrain. This analysis was conducted using AERMOD with all regulatory defaults. 

Modeled air concentrations were estimated using AERMOD in conjunction with information 

about the site, the locations of the lead emitting sources, nearby land uses, representative 

meteorological data, and receptors. 

This dispersion modeling project utilized the Universal Transverse Mercator (UTM) Coordinate 

System which includes the inherent benefit of not using negative numbers or east/west 

designations. In addition, the UTM coordinate system provides a constant distance relationship 

anywhere on the map or domain. This project utilized Zone 14 of the North American Datum of 

1983 (NAD83) in the UTM coordinate system. The units of the coordinates were meters. 

2.2 Modeled Pollutants and Averaging Periods 

The only pollutant that was modeled was lead (CAS Number: 7439-92-1). Calculation of 

chemical concentrations for use in demonstrating attainment of the 2008 Lead NAAQS (USEPA 

2008b) required the selection of appropriate concentration averaging times. To demonstrate 

attainment of the 2008 Lead NAAQS, ENVIRON executed the AERMOD model and generated 

POST files using a monthly averaging period. These POST files were then processed through 

the USEPA’s LEADPOST (Version 12114) Fortran based computer program to generate 

consecutive three-month averages for comparison against the lead NAAQS. 

2.3 Modeled Sources and Their Release Parameters 

The Source Group Identifiers for Point Sources used in this AERMOD modeling were chosen 

based on the designations used by the facility. Table 2-1a includes a listing of the point sources 

that were included in this modeling exercise and their release parameters in the AERMOD 

Model; Table 2-1b shows the same for volume sources. 

2.3.1 Point Sources 

This modeling analysis included the lead emitting sources currently at the Exide facility including 

recent improvements to four general purpose bag houses (BH2, BH3, BH4, and BH5) plus 

planned improvements to a fifth general purpose baghouse (BH1) and to five ballmill baghouses 

(BH11, BH12, BH13, BH14, and BH15). In addition, all ten existing oxide mill stacks (shown as 

OM1 – OM10 in previous modeling) were modeled as discharging from a raised combined stack 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Modeling Methodologies, Settings, and Input 5 

(OM). Please see Figure 2-1a, which depicts the point sources modeled and property line. The 

ten existing oxide mill stacks each sit directly atop equipment and do not have foundations on 

the ground. Thus, the added weight from any added stack height would have to be borne by the 

equipment they are mounted upon. It has been determined that the equipment cannot bear this 

additional weight. Thus, increasing the height of these stacks individually is not structurally 

feasible and Exide instead plans to manifold the exhausts together to a new combined stack. 

The purpose of this stack combination is not to increase plume rise. The desired increase in 

plume height is accomplished by the stack height increase itself. The combination of stacks into 

one is simply for structural purposes. In addition, this entire project is accompanied by 

reductions in allowable lead emissions from the facility. For each of these reasons, this stack 

combination is not prohibited by K.A.R. 28-19-18. 

Exide point source emission rates have been determined using information from the average of 

three runs from stack compliance tests for each source from the dates listed below. The 

emission rates have been conservatively estimated based upon the highest measured average 

emission rate since 2007 or the most recent infrastructure update for the source. This method 

allows for consideration of the most conservative stack testing on existing equipment. Stack 

compliance tests for BH2 - BH5, and OM3 – OM10 were conducted after installation and 

commissioning of bag house improvement projects. Copies of the summary results for each test 

have been provided to KDHE. 

Table 2-2. Stack Testing Dates 

BH1 21 August 2008 

BH2 17 November 2010 

BH3 29 September 2009 

BH4 2 August 2011 

BH5 27 June 2012 

BH11 24 October 2007 

BH12 24 October 2007 

BH13 24 October 2007 

BH14 24 October 2007 

BH15 21 August 2008 

OM 

OM1 22 August 2008 

OM2 21 August 2008 

OM3 27 August 2009 

OM4 25 August 2009 

OM5 4 August 2010 

OM6 15 July 2010 

OM7 17 March 2011 

OM8 5 May 2011 

OM9 6 May 2011 

OM10 5-6 May 2011 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 6 Modeling Methodologies, Settings, and Input 

In order to demonstrate ambient impacts less than the 2008 Lead NAAQS and alignment with 

all relevant federal New Source Performance Standard (NSPS) and National Emission 

Standards for Hazardous Air Pollutants (NESHAP) standards applicable to the sources 

involved, stacks BH1-5 and OM were modeled at 3.5 times measured emission rates, while 

BH11-15 were each modeled at an emission rate of 8.82 x 10-4 g/s (between 3.3 and 12.0 times 

measured emission rates). It is considered prudent to model an emission rate higher than the 

measured emission rate in order to ensure that normal operational variations would not create a 

condition where the NAAQS are exceeded. The emission rate for each source is provided in 

Table 2-1a. 

All stacks have been represented using information from stack testing at their existing heights 

with the exception of: 

 BH1, which was modeled at the proposed height of 80 feet; 

 BH11-15, each of which were modeled at a height 35 feet greater than the existing 

height; and 

 All oxide mill stacks, which were modeled as a single, 65 foot tall, combined stack to 

which all such stacks (OM1 to OM10) will in the future be ducted (labeled OM). 

It is expected that these stack height increases and new combined stack will be necessary to 

limit the effects of building downwash on these sources. The currently projected implementation 

timing for these proposed changes is provided in Table 2-3 below: 

Table 2-3: Proposed Changes to Point Sources 

Source(s) Action Date(s)

BH1 Relocate, increase height to 

80 feet

4th Quarter FY 14

BH11-BH15, ball mill stacks Increase stack heights by 35 

feet

3rd Quarter FY 14

OM1-OM10, oxide mill stacks Manifold to new stack, 65 feet 

tall

3rd Quarter FY 14

2.3.2 Volume Sources 

Fugitive emissions from the Ball Mill process, from the neighboring facility Metlcast, and from 

roadway sources on site were modeled as volume sources (locations and release parameters 

are detailed in Table 2-1b). 

BALLFUG 

The source designated BALLFUG was included to represent fugitive emissions from the 

facility’s processes. The emission rate was originally estimated at 28.16 lb/month by Exide 

(assuming a 99% control rate of baghouses, and that 10% of emissions from process exhausts 

are released as fugitives). Exide has since installed additional ventilation and closed prior 

building openings associated with this source previously assessed in modeling for determination 

of non-attainment area extent. The Exide facility’s lead processing operations are, therefore, 

located within a negative pressure total enclosure and are fitted with local exhaust ventilation 

(LEV) in order to minimize workplace exposures to airborne lead. Based upon recent 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Modeling Methodologies, Settings, and Input 7 

correspondence from EPA Region 7 to Missouri DNR, negative pressure total enclosures with 

maintained local exhaust ventilation can be credited with 99% effectiveness in reducing fugitive 

emissions. While this facility is not a secondary lead smelter, as referenced in this letter, the 

concepts are the same (USEPA, 2012a). The emission rate from this source has therefore been 

decreased by 99% from the previously estimated emission rate, resulting in a continuous 

emission of 4.86 x 10-5 g/s. 

BALLFUG will be modeled as a volume source. Per the USEPA guidance (USEPA 1995), the 

initial lateral dimension was set as the length of the building side (geometric mean of building 

length and width) divided by 4.3, and the initial vertical dimension was set as the building height 

divided by 2.15. The volume source will be positioned concentric to the Ball Mill building (see 

Figure 2-1b). 

Metlcast 

Metlcast’s annual lead emission quantity was modeled as the volatilized fraction (conservatively 

assumed to be 5%) of the lead fraction (estimated at 0.001%) of their 2011 production 

(estimated at 6910 tons). This quantity of lead was released over a 4380 hour annual operating 

period (12 hours per day, assumed to be 07:00 to 19:00, over all the days in a year) resulting in 

a modeled emission rate of 2.07 x 10-4 g/s. 

Since Metlcast’s operations can be described as occurring in an open building with wall and roof 

vents (KDHE, 2012), it was represented in the AERMOD model by a volume source (USEPA, 

2009c). The dimensions of this volume source were defined according to USEPA guidance 

(USEPA 1995): the initial lateral dimension was set as the length of the building side (geometric 

mean of building length and width) divided by 4.3, and the initial vertical dimension was set as 

the building height divided by 2.15. The volume source was positioned concentric to the 

Metlcast building (see Figure 2-1b). 

Roadways 

Traffic on-site follows two primary routes which have been designated the Delivery Route and 

the Shipping Route. Most delivery vehicles check in at the security building at the southwest 

corner of the property and proceed clockwise around the facility to drop off or pick up their 

delivery. This route is designated Delivery Route (see Figure 2-1c). Trucks picking up batteries 

check in with security then proceed along Berg Road which is the southern boundary of the 

facility to the Eastern Distribution Center (DC) then return along a similar route along Berg 

Road. This route is designated Shipping Route in the model and is depicted on Figure 2-1d. 

Vehicular fugitive emissions were modeled as ground level adjacent volume sources. Volume 

source input parameters were calculated using the USEPA’s recommended approach in Table 

3-1 of USEPA 2004a and according to the guidance provided in the USEPA’s Haul Road 

Workgroup Final Report (USEPA, 2012b). Road fugitive volume sources were calculated using 

a vehicle height of 3 meters above grade level and a vehicle width of 3 meters. Sections 

passing along Berg Road along the southern boundary of the site were modeled using a twolane approach with a road width of 6 meters. The model used a total of 144 volume sources on 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 8 Modeling Methodologies, Settings, and Input 

the Delivery Route and 82 volume sources on the Shipping Route. Delivery Route sources were 

included in source groups DELRD1, DELRD2, and volume sources on the Shipping Route were 

included in model source groups called SHPRD1, SHPRD2, SHPRD3, and SHPRD4. Several 

groups have been assigned to each route to separate two-lane from one-lane segments. 

Traffic fugitive emissions were quantified using the Paved Roads section of Chapter 13.2.1 from 

AP-42 (USEPA 2011). The equations in AP-42 require site specific data including the fleet 

average vehicle weight and a silt loading value for Paved Roads. Site-specific silt and lead 

content sampling were completed for the Salina facility in 2012. A representative sample of silt 

and lead content from an area free from off-pavement dust tracking was used for these 

parameters. 

In order to achieve attainment, it is expected that lead-in-roadway silt loading will need to 

decrease. It is further expected that paving all unpaved road sections would be an appropriate 

method of achieving the reduced silt load. The measures are aimed at reducing the silt load and 

lead content to the levels similar to the dust loading and lead content currently measured on the 

South WDC roadway (see Fig 2-1c). This area is considered representative of paved roadways 

with adequate silt control strategies in place. To capture the impact of the proposed changes, all 

roadways in this modeling exercise were modeled as paved (using AP-42 emission factors for 

Paved Roads) and assuming the silt load and the lead content of the samples collected from 

South WDC. The currently projected implementation timing for this proposed change is provided 

in Table 2-4 below: 

Table 2-4: Proposed Changes to Volume Sources 

Source Action Date

In-plant roadways Pave all internal roadways and parking lots subject to 

vehicular traffic

3rd Quarter FY 14

The fleet average weight and vehicle activity (path length, and number of passes / year) were 

used to estimate annual emissions of TSP, and then the percentage of particulate measured to 

be lead was used to estimate the annual lead emissions from each roadway segment. The total 

annual lead emissions were distributed evenly throughout the day, and amongst each of the 

volumes representing the line source associated with each segment of roadway. Details of the 

calculations are provided as attachment 1. 

2.4 Terrain Data 

Terrain elevations were incorporated into the model using version 11103 of AERMAP, 

AERMOD’s terrain preprocessor, as per USEPA guidance (2009). Terrain elevation data for the 

entire modeling domain were extracted from 1/3-arc second National Elevation Data (NED) files 

with a resolution of approximately 10 meters. These NED files were obtained from the U.S. 

Geological Survey’s Seamless Data Server (http://seamless.usgs.gov). AERMAP was 

configured to assign elevations for all sources, buildings, and receptors in the modeling domain. 

The extent of the terrain file to be used is presented in Figure 2-2. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Modeling Methodologies, Settings, and Input 9 

For applications involving elevated terrain, the user must input a hill height scale along with the 

receptor elevation. To accomplish this, AERMAP was configured to automatically calculate and 

assign Hill Height Scale values for all receptors. 

2.5 Building Downwash 

Building downwash algorithms incorporated into AERMOD account for the plume dispersion 

effects of the aerodynamic wakes and eddies produced by buildings and structures. The 

Building Profile Input Program - Plume Rise Model Enhancements (BPIPPRM) model 

(incorporated into AERMOD) is used to determine the direction-specific building downwash 

parameters. 

ENVIRON modeled onsite buildings from Exide owned structures for downwash analysis. These 

buildings were placed into the model then the BPIPPRM program (Version 04274) was 

executed on the point sources. Table 2-5 shows the height of each building that was 

incorporated into the model. Figure 2-1e presents labeled building locations. In addition to 

permanent structures, Exide’s facility contains several outdoor fabric filter bag houses used to 

control process emissions. These structures are physically large due to the quantity and 

configuration of the fabric filter bags used to filter the process exhaust. The bag houses were 

input into the model as buildings to allow for the model to account for the anticipated plume 

downwash from the filter bag assemblies. 

Table 2-5: Buildings Incorporated into AERMOD

AERMOD 

Building ID 

Description Building 

Elevation 

(meters) a

Building 

Height 

(feet) 

Building 

Height 

(meters) 

1 East DC 381.10 30 9.14 

2 West DC 381.00 35 10.67 

3 Break Room 381.10 27 8.23 

4 Main Plant 381.10 25 7.62 

5 Cover Shed 381.07 20 6.10 

6 Ball Mill 380.99 47 14.33 

7 Oxide Mill 381.02 39 11.89 

8 Acid Farm 381.20 24 7.32 

9 Offices & QC Lab 381.10 15 4.57 

10 Main Storage 381.20 20 6.10 

11 BH1 Fabric Filter Housing 381.10 31.92 9.73 

12 BH2 Fabric Filter Housing 381.10 36.33 11.07 

13 BH3 Fabric Filter Housing 381.10 36.33 11.07 

14 BH4 Fabric Filter Housing 381.09 32.58 9.93 

15 BH5 Fabric Filter Housing 381.10 32 9.75 

16 Metlcast 380.50 20 6.10 

Notes: 

a

 Building Elevations assigned by AERMAP. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 10 Modeling Methodologies, Settings, and Input 

2.6 Meteorological Data Set 

AERMOD requires a meteorological input file to characterize the transport and dispersion of 

pollutants in the atmosphere. Surface and upper air meteorological data inputs as well as 

surface parameter data describing the land use and surface characteristics near the site are first 

processed using AERMET (version 12345), the meteorological preprocessor to AERMOD. The 

output file generated by AERMET is the meteorological input file required by AERMOD. Details 

of AERMET and AERMOD meteorological data needs are described in USEPA guidance 

documents (USEPA 2004a, 2004b). The KDHE Bureau of Air has provided current (2007-2011) 

meteorological data files for upper air and surface winds. Section 2.6.1 briefly describes this 

data. 

2.6.1 Surface and Upper Air Meteorological Data 

The focus of this analysis is the characterization of ambient lead concentrations in the 

nonattainment area surrounding the Exide Salina Facility. As such, meteorological data for air 

dispersion modeling was chosen by KDHE based upon spatial and temporal representativeness 

of conditions in the immediate vicinity of the Exide Facility. Wind speed, wind direction, ambient 

temperature, atmospheric pressure, and cloud cover data were chosen from the Salina 

Municipal Airport (SLN) meteorological station for the five years from 2007 to 2011 as the most 

representative available data for use in the air dispersion analysis of the Exide Facility. The SLN 

meteorological station is located approximately 4.5 kilometers northwest of the Exide Property 

(see Figure 1-1). The coordinates and elevation for this location are 38.7798° North Latitude, 

97.6445° West Longitude, and 382.5 meters above sea level according to information from the 

National Climatic Data Centers and NOAA National Weather Service. Figure 2-3 depicts a Wind 

Rose of the surface meteorology used in this analysis. 

Upper air data for the period of 2007 to 2011 was selected by KDHE staff from the Topeka, KS 

Airport station (TOP) which is approximately 175 kilometers east northeast of the Exide facility. 

2.6.2 ASOS 1-Minute Meteorological Data 

Automated Surface Observing System (ASOS) data collected at 1-minute intervals was 

obtained from the National Oceanic and Atmospheric Administration (NOAA) National Climatic 

Data Center (NCDC) database (NCDC 2013). Monthly data files from January 2007 to 

December 2011 were obtained from the NCDC FTP for the Salina Municipal Airport (SLN). 

The ASOS 1-minute data was converted to a resultant hourly wind vector form useable by 

AERMET through AERMINUTE (version 11325). 

2.6.3 Surface Parameters 

Prior to running AERMET, it is necessary to specify the surface characteristics for the 

meteorological monitoring site and/or the project area. The surface parameters include surface 

roughness, Albedo, and Bowen ratio, and are used to compute fluxes and stability of the 

atmosphere (USEPA 2004b) and require the evaluation of nearby land use and temporal 

impacts on these surface parameters. Surface parameters supplied to the model were specified 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Modeling Methodologies, Settings, and Input 11 

for the area surrounding the meteorological monitoring site, rather than the project area (the 

nonattainment area), as recommended by USEPA (USEPA 2005a, 2009b)1

. Also, because the 

selected meteorological station is in very close proximity to Exide and the land use surrounding 

the meteorological station is very similar to the land use surrounding the Exide Facility, surface 

parameters calculated for the meteorological station should be representative of the 

nonattainment area. 

To assess land use around the Exide Facility and the Salina Airport, land-use data in the form of 

the National Land Cover Data (NLCD) from 1992 (USGS 2003) was analyzed using 

AERSURFACE (version 13016) (USEPA 2008a) as suggested by KDHE staff. Descriptions of 

various land use types are provided in Table 2-6. Surface parameter values were calculated as 

follows: 

 For surface roughness length, ENVIRON used 12 equally spaced radial land-use sectors 

around the meteorological station and specified values for each sector using monthly 

values adjusted for the local climate. In determining these sectors, ENVIRON used the 

USEPA (2009b) recommended upwind fetch distance of one kilometer, corresponding to a 

circle with a radius of one kilometer surrounding the station. 

 For Albedo, ENVIRON evaluated a 10-kilometer square region centered at the SLN 

meteorological station, as recommended by USEPA (2009b). To average values from the 

entire domain, ENVIRON took the arithmetic mean of monthly values adjusted for the local 

climate. 

 For Bowen ratio, ENVIRON evaluated the same 10-kilometer square region as for Albedo, 

as recommended by USEPA (2009b). To average values from the entire domain, 

ENVIRON took the geometric mean of monthly values adjusted for the local climate. 

 In order to determine whether surface conditions should be considered “Wet”, “Average” or 

“Dry”, the average precipitation for each month in the 5 year modeling period was 

compared to the 30 year climate normal, where average precipitation for the modeling 

period less than the 30th percentile was considered “Dry”, greater than the 70th percentile 

was considered “Wet” and between 30th and 70th was considered average. All Months 

were considered “Average” except December which was “Wet”. 

Surface parameter values (surface roughness, Albedo, and Bowen Ratio) for the SLN 

meteorological station and the Exide Facility are presented in Table 2-7. 

2.7 Meteorological Processing 

Meteorological data was obtained from the KDHE and NCDC as described above. To obtain 

model-ready data, this data was processed using the meteorological pre-processors to 

AERMOD. Subsequently, AERMET was used to combine this ASOS 1-minute data, the surface 

 

1 The AERMOD Implementation Guide (USEPA 2005a, 2009b) suggests using surface parameters at the 

meteorological site for constructing AERMOD’s meteorological profiles if the both the source and the 

meteorological tower site are located in rural areas. An Auer land use analysis indicates that both the Exide Facility 

and SLN are located in “rural” areas (Section 2.8). 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 12 Modeling Methodologies, Settings, and Input 

wind data provided by KDHE, and the surface parameters generated by AERSURFACE to 

produce five year surface parameter (SFC) and wind profile (PFL) files for use with AERMOD. 

2.8 Land Use Analysis 

AERMOD can evaluate the effect of heat islands from urban areas on atmospheric transport 

and dispersion using an urban boundary layer option. As per USEPA guidance (USEPA 2005a, 

2005b, 2009b), ENVIRON used Auer’s method of classifying land-use as either rural or urban 

(Auer 1978). These methods call for analysis of the land within a three-kilometer radius from the 

meteorological station and primary project area to determine if the majority of the land can be 

classified as either rural (i.e. undeveloped) or urban. 

To conduct the Auer analysis, ENVIRON used the USGS NLCD 1992 Land Cover Data (USGS 

2003) obtained as part of the surface parameter determination discussed above to evaluate 

areas around the Exide Facility and the SLN meteorological station. AERSURFACE was used 

with a radius of three kilometers for the Surface Roughness. Table 2-6 shows the total area of 

each Auer land use designation and its percentage of total. 

As shown in Table 2-6, approximately 81% of the area circumscribed by the three-kilometer 

radius circle around the SLN meteorological station consists of Auer land-use rural land types. 

Table 2-6 also shows the land use analysis around the Exide Facility (including the entire 

nonattainment area) as approximately 87% rural. Thus, the urban boundary layer option in the 

model was not selected. 

Table 2-6: Land Use Areas for Auer Analysis

Auer Land Use 

Classification 

Auer Land Use 

Description 

Urban or Rural 

Classification 

3km Circle 

Around SLN 

3km Circle 

Around Exide 

A1 Metropolitan Natural Rural 12.93% 3.98% 

A2 Agricultural Rural Rural 44.09% 52.59% 

A3 Undeveloped Rural 22.22% 22.01% 

A4 Undeveloped Rural 0.24% 0.36% 

A5 Water Surfaces Rural 0.15% 2.93% 

R1 Common Residential Rural 1.55% 4.75% 

R2, R3 Compact Residential Urban 2.16% 5.94% 

I1, I2, C1 Industrial and Commercial Urban 16.66% 7.44% 

 Rural Total 81.81% 86.62% 

 Urban Total 18.82% 13.38% 

Figures 2-4 and 2-5 depict the land use categories around the Salina Municipal Airport and 

Exide Facility, respectively. The 1 kilometer radius around the airport and Exide Facility are 

shown along with the 10 kilometer square domain used in the surface parameter analysis in 

Table 2-7. 

2.9 Receptors 

Ground-level lead concentrations located inside the facility boundaries were excluded from the 

impact assessment because the general public does not have ready access to the Exide 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 Modeling Methodologies, Settings, and Input 13 

property. The Exide Technologies property within the fenced perimeter was considered on-site 

for purposes of determining the property line as recommended by KDHE and USEPA in their 

comments on the modeling protocol submitted “For Determination of Attainment Area”. The 

unfenced undeveloped land west of the fenced production area that is owned by Exide was 

considered off-site and receptors were placed on this land. Ground level receptors were placed 

along the property line at 50 meter spacing intervals (see Figures 2-1a-e for a depiction of the 

Property Line). 

In addition to the property line receptors, ENVIRON utilized a Cartesian grid of receptors with 

50 m spacing across the nonattainment area to determine the location of maximum impact. 

In addition to the above property line and gridded discrete receptors, two ground-level discrete 

receptors were placed in the model for the approximate center of the main building for each of 

the following nearby elementary schools. One discrete receptor was also placed at the location 

of the ambient lead monitor as indicated below. 

Schilling Elementary School Coronado Elementary School 

3131 Canterbury, Salina, KS 518 East Neal Avenue, Salina, KS 

UTMx = 619,560 meters UTMx = 621,185 meters 

UTMy = 4,293,400 meters UTMy = 4,294,430 meters 

KDHE Ambient Lead Monitor 

UTMx = 620,967.95 meters 

UTMy = 4,292,889.60 meters 

All receptor elevations and Hill Height Scales were assigned by AERMAP (Version 11103) using 

NED 1/3 Arc Second resolution elevation data from USGS’s Seamless Data Server. 

Figure 2-6 depicts the property line receptors in light blue, the gridded discrete receptors as 

orange dots, Schilling Elementary School, Coronado Elementary School, and the ambient lead 

monitor as green dots. 

The Metlcast facility was included in the area considered ambient air for the attainment 

demonstration modeling. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 14 Uncertainties 

3 Model Input, Output, and Results Submittal 

3.1 Modeling File Submittal 

The dispersion modeling input, output and post processing files have been submitted to KDHE 

with this report to document the modeling methodology and results. A computer disc has been 

attached to this report and contains all model input and output files, supporting emission 

calculations and stack test summary tables for point sources. The disc also includes 

LEADPOST post processing data files. Meteorological and BPIPPRM input files have been 

included on the disc as well. 

3.2 Background Lead Concentrations 

The USEPA’s draft Integrated Science Assessment (ISA) for Lead indicates that the median 

national non-source oriented monthly ambient lead concentration is 0.01 μg/m3

. Table 3-13 of 

the ISA provides detailed statistics based upon the national monitoring network (USEPA, 

2012c). Since other lead emitting sources in the vicinity of the Exide facility have been identified 

and included in the model, the draft ISA reported national monthly averaged value of 0.01 μg/m3

was used as the background concentration in the attainment demonstration modeling. 

3.3 Post Processing in LEADPOST 

As stated previously in this document, AERMOD was executed to generate POST output data 

files for each source group identified in Tables 1a and 1b. The averaging period chosen for this 

model was monthly as recommended by USEPA (2009d) for use with USEPA’s LEADPOST 

software program. The POST files were processed through the LEADPOST program to 

calculate three month average lead concentrations for each receptor location. The software 

created two output text files corresponding to total receptor average concentrations across all 

source groups (a Source Group ALL will be created to represent facility-wide emissions) and 

receptor average concentrations for each source group to allow for culpability analyses. 

3.4 Description of Modeling Results 

The LEADPOST output file of modeled maximum three month average lead concentrations for 

all source groups was used, plus the background value of 0.01 μg/m3

, to determine the 

cumulative impact at each receptor. This data was then plotted to generate a contour map of the 

three month average lead concentrations (shown in Figure 3-1). Table 3-1, including the 

maximum impacted receptor and other sensitive receptors, is presented to demonstrate 

attainment of the lead NAAQS. 

Table 3-1: Summary of Predicted Impacts at Maximum and Sensitive Receptors

Receptor Location Maximum Impact (including 0.01 

μg/m3 background concentration) 

Lead NAAQS - 0.15 μg/m3 

Maximum Impact UTMx = 621,000.00 meters 

UTMy = 4,292,950.00 meters 0.137 μg/m3 

KDHE Ambient Lead Monitor UTMx = 620,967.95 meters 

UTMy = 4,292,889.60 meters 0.127 μg/m3 

Shilling Elementary School UTMx = 619,560 meters 

UTMy = 4,293,400 meters 0.018 μg/m3 

Coronado Elementary School UTMx = 621,185 meters 

UTMy = 4,294,430 meters 0.028 μg/m3 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 15 

4 Uncertainties 

Understanding the degree of uncertainty associated with each component of a dispersion 

modeling analysis is critical to interpreting the results of the analysis. ENVIRON has evaluated 

the uncertainties associated with this analysis, including emissions estimation and air dispersion 

modeling. The following sections summarize the critical uncertainties associated with the air 

dispersion modeling analysis. 

4.1 Estimation of Emissions 

There are a number of uncertainties associated with the estimation of emissions from the 

Battery Plant that may affect the subsequent estimation of ambient concentrations. This section 

briefly describes many of uncertainties that may affect emissions estimates. Point source 

emissions were based on compliance stack tests and assume sources continuously emit at 

those levels. 

Fugitive emissions from manufacturing buildings used in this analysis were based on previous 

estimates used by the facility in its emission inventory and were based on the best information 

available at that time. Site specific silt and lead content data from a paved section of roadway at 

the Salina Battery Plant for use in estimating road fugitives from on-site vehicular traffic was 

extrapolated to represent all roadways on site. Fugitive road emissions were calculated using 

the best information available on nominal delivery counts and approximate truck weights. 

Emissions were quantified using the USEPA’s preferential calculation equations for Paved 

Roads in AP-42. The equations in these AP-42 sections were determined based on field tests of 

paved road surfaces. The on-site traffic is within the range of source conditions (silt 

content/loading, vehicle weight, and speed) listed in AP-42’s sections which are from the 

underlying field tests and are expected to retain the emission factor quality rating of A as stated 

in the Paved Roads section. 

4.2 Estimation of Ambient Concentrations 

4.2.1 Estimates from Air Dispersion Models 

As discussed in Section 2.1, the USEPA-recommended dispersion model AERMOD was used 

to estimate average off-site lead ambient ground level concentrations at the various offsite 

receptor locations. This model uses the Gaussian plume equation to calculate ambient air 

concentrations from emission sources. For this model, the magnitude of error for the maximum 

concentration is estimated to range from 10 to 40% (USEPA 2005b). Therefore, off-site ambient 

concentrations used in this analysis represent approximate off-site ambient concentrations. 

4.2.2 Source Representation 

The source parameters (i.e., release velocity and release temperature, etc.) used to model 

emission points are sources of uncertainty. For the point sources in the model, source 

parameters were provided directly from Exide from compliance Stack Emission Testing Reports. 

There might be variability in source parameters from the most recent compliance test 

(particularly in the case of BH1, BH11-15, and OM that were modeled as planned changes); 

therefore, off-site concentrations used in this assessment represent approximate off-site 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 16 Uncertainties 

ambient concentrations. Manufacturing building fugitives are characterized by an elevated 

volume source to represent the various points where fugitives could be released from the 

buildings. Road fugitive emissions are characterized by several ground level volume sources 

aligned to represent emissions from a line source or road. The volume source input values were 

selected to be representative tractor trailer trucks which comprise the majority of on-site traffic. 

Though the height, width, as well as empty and loaded weights of on-site vehicles can vary 

based on the type of delivery/truck, the use of average parameters is recommended in guidance 

and results in approximate off-site ambient concentrations. 

4.2.3 Meteorological Data Selection 

Uncertainty also exists in the meteorological data used in the AERMOD air dispersion model. 

These uncertainties are related to the use of meteorological data that is not collected onsite, 

and use of surface parameters for the meteorological station as opposed to the Exide Property. 

Missing data substitution in the meteorological data set was not performed in this analysis. The 

use of ASOS data minimizes missing data when compared to historical meteorological datasets, 

but does not remove this issue entirely. 

As required by KDHE, ENVIRON prepared model ready meteorological data from surface and 

upper air data provided by KDHE for the period of 2007 through 2011, plus ASOS 1-minute data 

obtained from the NCDC online database for the same period (2007 through 2011) for this 

dispersion modeling analysis. On-site meteorological data were not available for the Exide 

facility. Therefore, the meteorological data used in this analysis was based on surface 

meteorological data from National Climatic Data Center/National Weather Service station at 

Salina Municipal Airport (approximately 4.5 km north-northwest of the Exide facility) and upper 

air data from the Topeka, KS upper air station. Surface parameters supplied to AERMET, the 

meteorological preprocessor to AERMOD, were specified by KDHE staff for the area 

surrounding the meteorological monitoring site (Salina Airport), rather than the Exide Property, 

as recommended by USEPA (USEPA 2005a). Since land uses surrounding the meteorological 

station and the Exide facility are similar (see Section 2.8 for a discussion of the geographical 

domain of land use analysis), the surface parameters calculated around Salina Airport should 

be representative of the Exide facility. The uncertainties due to the use of off-site meteorological 

data and use of surface parameters for the meteorological station resulted in approximate 

ambient concentrations. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

 References 17 

5 References 

AERMOD; Version 12345 ed.; American Meteorological Society/ Environmental Protection 

Agency, version 12345. 

AERSURFACE. Version 13016. United States Environmental Protection Agency. 

KDHE Communication. “AERMOD input data for Metlcast as a volume source” Transmitted by 

Miles Stotts via email December 6, 2012. 

National Climatic Data Center (NCDC). 2013. 2007-2011 Automated Surface Observing System 

(ASOS) 1-Minute Data. ftp://ftp.ncdc.noaa.gov/pub/data/asos-onemin/Auer, Jr., A.H. 

“Correlation of Land Use and Cover with Meteorological Anomalies”. Journal of Applied 

Meteorology, 17:636-643, 1978. 

Schulman, LL; D.G. Strimaitis; J.S. Scire. 2000. “Development and Evaluation of the PRIME 

Plume Rise and Building Downwash Model”. Journal of the Air and Waste Management 

Association. 50 (3). March. 

U.S. Environmental Protection Agency (USEPA). 1995. User’s Guide for the Industrial Source 

Complex (ISC3) Dispersion Models - Volume I – User Instructions. Office of Air Quality 

Planning and Standards. Emissions Monitoring and Analysis Division. Research Triangle 

Park, North Carolina. EPA-454/B-95-003a. 

United States Environmental Protection Agency (USEPA). 2004a. User's Guide for the 

AMS/EPA Regulatory Model - AERMOD. Office of Air Quality Planning and Standards. 

Emissions Monitoring and Analysis Division. Research Triangle Park, North Carolina. EPA454/B-03-001. September. 

United States Environmental Protection Agency (USEPA). 2004b. User's Guide for the 

AERMOD Meteorological Preprocessor (AERMET). Office of Air Quality Planning and 

Standards. Emissions Monitoring and Analysis Division. Research Triangle Park, North 

Carolina. EPA-454/B-03-002. 5-9, 4-49. November 

United States Environmental Protection Agency (USEPA). 2005a. AERMOD Implementation 

Guide. Research Triangle Park, North Carolina. September. 

United States Environmental Protection Agency (USEPA). 2005b. Revision to the Guideline on 

Air Quality Models: Adoption of a Preferred General Purpose (Flat and Complex Terrain) 

Dispersion Model and Other Revisions; Final Rule. 40 CFR Part 51, Appendix W (Federal 

Register) 70216. 

United States Environmental Protection Agency (USEPA). 2008a. AERSURFACE User’s Guide. 

Air Quality Assessment Division. Research Triangle Park, North Carolina. EPA-454/B-08-

001. January 2008, Revised January 2013. 

United States Environmental Protection Agency (USEPA). 2008b. Revision to the National 

Ambient Air Quality Standards for Lead. Final Rule. Federal Register Volume 73, Page 

66964 et seq. November 12. 
Air Quality Dispersion Modeling Protocol 

 SIP Attainment Demonstration 

 18 

United States Environmental Protection Agency (USEPA). 2009a. NAAQS from 40 Code of 

Federal Regulations (CFR) Part 52 (relating to National Primary and Secondary Ambient Air 

Quality Standards). 

United States Environmental Protection Agency (USEPA). 2009b. AERMOD Implementation 

Guide. Office of Air Quality Planning and Standards. Emissions Monitoring and Analysis 

Division. Research Triangle Park, North Carolina. March 19. 

United States Environmental Protection Agency (USEPA). 2009c. User's Guide for the 

AMS/EPA Regulatory Model – AERMOD (Addendum for Version 12345). Office of Air 

Quality Planning and Standards. Emissions Monitoring and Analysis Division. Research 

Triangle Park, North Carolina. EPA-454/B-03-001. October. 

United States Environmental Protection Agency (USEPA). 2012a. Letter RE: Building Fugitive 

Capture Efficiency for SIP Modeling – Buick Resource Recycling Facility – Boss, Missouri. 

USEPA Region 7 Air Planning and Development Branch to Missouri Department of Natural 

Resources (MDNR). Dated: September 17, 2012. 

United States Environmental Protection Agency (USEPA). 2012b. Memorandum: Haul Road 

Workgroup Final Report Submission to EPA-OAQPS, Haul Road Workgroup 

Recommendations. Office of Air Quality Planning and Standards. Emissions Monitoring and 

Analysis Division. Research Triangle Park, North Carolina. March 2. URL: 

http://www.epa.gov/scram001/reports/Haul_Road_Workgroup-Final_Report_Package20120302.pdf 

United States Environmental Protection Agency (USEPA). 2012c. Integrated Science 

Assessment for Lead (Third External Review Draft). National Center for Environmental 

Assessment-RTP Division: Office of Research and Development. Accessed Online: 

http://cfpub.epa.gov/ncea/isa/recordisplay.cfm?deid=242655#Download. February 27, 2013. 

United States Geological Survey (USGS). 2003. 1992 National Land Cover Database 1992 

(NLCD 1992). http://www.mrlc.gov/. 
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

Tables 
Air Qua

AERMOD Source 

Group ID 1

Source Description Compliance Stack 

Test Date

Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4,5

Stack 

Height 

(meters) 6

Stac

Temper

(Kelvi

BH1 Bag House 1 8/21/2008 Test 621,077.79 4,292,731.83 381.10 3.71E-03 24.384 294.2BH2 Bag House 2 11/17/2010 Test 621,094.61 4,292,748.65 381.10 1.73E-03 24.384 297.2BH3 Bag House 3 9/29/2009 Test 621,074.19 4,292,747.26 381.10 5.63E-03 22.860 307.2BH4 Bag House 4 8/2/2011 Test 621,062.00 4,292,743.15 381.10 1.85E-02 24.384 325.BH5 Bag House 5 6/27/2012 Test 620,996.47 4,292,665.43 381.10 1.63E-03 24.384 326.

BH11 Bag House for Ball Mill 11 10/24/2007 Test 621,005.31 4,292,715.11 381.00 8.82E-04 24.512 354.4BH12 Bag House for Ball Mill 12 10/24/2007 Test 620,998.00 4,292,715.72 381.00 8.82E-04 24.559 371.BH13 Bag House for Ball Mill 13 10/24/2007 Test 620,990.38 4,292,715.42 381.00 8.82E-04 24.533 324.4BH14 Bag House for Ball Mill 14 10/24/2007 Test 620,983.67 4,292,715.42 381.00 8.82E-04 24.512 369.4BH15 Bag House for Ball Mill 15 8/21/2008 Test 620,973.61 4,292,718.16 380.98 8.82E-04 24.788 308.

OM Oxide Mills Refer to Table 1-2 621,016.13 4,292,731.45 381.10 8.47E-03 19.812 327.2

Notes:

6 Stack heights for BH1, BH11-BH15, and OM are proposed. All other stack heights are as constructed. 7 The stack temperature for OM is the flowrate-weighted temperature of OM1-OM10 exhausts.8 All sources exhaust vertically upward without evase stack tip or rain caps (i.e., unobstructed release). OM is a design velocity.3 Elevation is assigned by AERMAP (Version 11103) using NED 1/3 Arc second resolution elevation data from USGS’s Seamless Data Server.4 Lead emission rates for BH1-BH5 are based on 3.5 times actual stack emission test data from recent compiance tests. Lead emission rates for BH11-BH15 9 OM stack diameter is calculated from the design velocity and sum of flowrates from existing OM1-OM10 stacks.

Table 1-1A: Lead Emitting Point Sources Included in Dispersion Modeling Analysis

1 Reserved.2 Easting and Northing Coordinates for Point Sources are in UTM Zone 14, NAD83 Datum.5 The lead emission rate for the proposed source OM is based on 3.5 times the sum of existing sources OM1-OM10 actual stack emission test data from rece

have been accepted by KDHE.
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

BALLFUG8 BALLFUG Fugitive emissions from Ball Mill 620986.66 4292721.52 381.00 4.86E-05 7.16 

METLCAST METLCAST Fugitive emissions from MetlCast 620943.71 4293093.27 380.50 2.07E-04 7.32 

L0071211 DELRD1 Delivery road segment 1 621172.31 4292463.59 381.10 2.18E-06 2.55 L0071212 DELRD1 Delivery road segment 1 621160.31 4292463.67 381.10 2.18E-06 2.55 L0071213 DELRD1 Delivery road segment 1 621148.31 4292463.74 381.10 2.18E-06 2.55 L0071214 DELRD1 Delivery road segment 1 621136.31 4292463.82 381.10 2.18E-06 2.55 L0071215 DELRD1 Delivery road segment 1 621124.31 4292463.90 381.10 2.18E-06 2.55 L0071216 DELRD1 Delivery road segment 1 621112.31 4292463.97 381.10 2.18E-06 2.55 L0071217 DELRD1 Delivery road segment 1 621100.31 4292464.05 381.10 2.18E-06 2.55 L0071218 DELRD1 Delivery road segment 1 621088.31 4292464.13 381.10 2.18E-06 2.55 L0071219 DELRD1 Delivery road segment 1 621076.31 4292464.20 381.10 2.18E-06 2.55 L0071220 DELRD1 Delivery road segment 1 621064.31 4292464.28 381.10 2.18E-06 2.55 L0071221 DELRD1 Delivery road segment 1 621052.31 4292464.36 381.10 2.18E-06 2.55 L0071222 DELRD1 Delivery road segment 1 621040.31 4292464.43 381.10 2.18E-06 2.55 L0071223 DELRD1 Delivery road segment 1 621028.31 4292464.51 381.10 2.18E-06 2.55 L0071224 DELRD1 Delivery road segment 1 621016.31 4292464.59 381.10 2.18E-06 2.55 L0071225 DELRD1 Delivery road segment 1 621004.31 4292464.67 381.10 2.18E-06 2.55 L0071226 DELRD1 Delivery road segment 1 620992.31 4292464.74 381.10 2.18E-06 2.55 L0071227 DELRD1 Delivery road segment 1 620980.31 4292464.82 381.10 2.18E-06 2.55 L0071228 DELRD1 Delivery road segment 1 620968.31 4292464.90 381.10 2.18E-06 2.55 L0071229 DELRD1 Delivery road segment 1 620956.32 4292464.97 381.10 2.18E-06 2.55 L0071230 DELRD1 Delivery road segment 1 620944.32 4292465.05 381.10 2.18E-06 2.55 L0071231 DELRD1 Delivery road segment 1 620932.32 4292465.13 381.10 2.18E-06 2.55 L0071232 DELRD1 Delivery road segment 1 620920.32 4292465.20 381.10 2.18E-06 2.55 L0071233 DELRD1 Delivery road segment 1 620908.32 4292465.28 381.10 2.18E-06 2.55 L0071234 DELRD1 Delivery road segment 1 620896.32 4292465.36 381.10 2.18E-06 2.55 L0071009 SHPRD1 Shipping road segment 1 620882.27 4292468.75 381.10 2.25E-06 2.55 L0071010 SHPRD1 Shipping road segment 1 620885.50 4292477.15 381.10 2.25E-06 2.55 L0071011 SHPRD1 Shipping road segment 1 620888.73 4292485.55 381.10 2.25E-06 2.55 L0071012 SHPRD1 Shipping road segment 1 620896.51 4292487.25 381.10 2.25E-06 2.55 L0071013 SHPRD1 Shipping road segment 1 620905.51 4292487.16 381.10 2.25E-06 2.55 L0071014 SHPRD1 Shipping road segment 1 620914.51 4292487.07 381.10 2.25E-06 2.55 

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071015 SHPRD1 Shipping road segment 1 620923.51 4292486.98 381.10 2.25E-06 2.55 L0071016 SHPRD1 Shipping road segment 1 620932.51 4292486.89 381.10 2.25E-06 2.55 L0071017 SHPRD1 Shipping road segment 1 620941.51 4292486.80 381.10 2.25E-06 2.55 L0071018 SHPRD1 Shipping road segment 1 620950.51 4292486.71 381.10 2.25E-06 2.55 L0071019 SHPRD1 Shipping road segment 1 620959.51 4292486.62 381.10 2.25E-06 2.55 L0071020 SHPRD1 Shipping road segment 1 620968.13 4292485.75 381.10 2.25E-06 2.55 L0071021 SHPRD1 Shipping road segment 1 620973.85 4292478.79 381.10 2.25E-06 2.55 L0071022 SHPRD1 Shipping road segment 1 620979.56 4292471.84 381.10 2.25E-06 2.55 L0071023 SHPRD2 Shipping road segment 2 620986.19 4292464.49 381.10 3.00E-06 2.55 L0071024 SHPRD2 Shipping road segment 2 620998.19 4292464.38 381.10 3.00E-06 2.55 L0071025 SHPRD2 Shipping road segment 2 621010.19 4292464.26 381.10 3.00E-06 2.55 L0071026 SHPRD2 Shipping road segment 2 621022.19 4292464.15 381.10 3.00E-06 2.55 L0071027 SHPRD2 Shipping road segment 2 621034.19 4292464.03 381.10 3.00E-06 2.55 L0071028 SHPRD2 Shipping road segment 2 621046.19 4292463.92 381.10 3.00E-06 2.55 L0071029 SHPRD2 Shipping road segment 2 621058.19 4292463.80 381.10 3.00E-06 2.55 L0071030 SHPRD2 Shipping road segment 2 621070.19 4292463.69 381.10 3.00E-06 2.55 L0071031 SHPRD2 Shipping road segment 2 621082.19 4292463.57 381.10 3.00E-06 2.55 L0071032 SHPRD2 Shipping road segment 2 621094.19 4292463.46 381.20 3.00E-06 2.55 L0071033 SHPRD2 Shipping road segment 2 621106.18 4292463.34 381.20 3.00E-06 2.55 L0071034 SHPRD2 Shipping road segment 2 621118.18 4292463.22 381.20 3.00E-06 2.55 L0071035 SHPRD2 Shipping road segment 2 621130.18 4292463.11 381.20 3.00E-06 2.55 L0071036 SHPRD2 Shipping road segment 2 621142.18 4292462.99 381.10 3.00E-06 2.55 L0071037 SHPRD2 Shipping road segment 2 621154.18 4292462.88 381.10 3.00E-06 2.55 L0071038 SHPRD2 Shipping road segment 2 621166.18 4292462.76 381.10 3.00E-06 2.55 L0071039 SHPRD4 Shipping road segment 4 621172.31 4292463.59 381.10 3.00E-06 2.55 L0071040 SHPRD4 Shipping road segment 4 621160.31 4292463.67 381.10 3.00E-06 2.55 L0071041 SHPRD4 Shipping road segment 4 621148.31 4292463.74 381.10 3.00E-06 2.55 L0071042 SHPRD4 Shipping road segment 4 621136.31 4292463.82 381.20 3.00E-06 2.55 L0071043 SHPRD4 Shipping road segment 4 621124.31 4292463.90 381.20 3.00E-06 2.55 L0071044 SHPRD4 Shipping road segment 4 621112.31 4292463.97 381.20 3.00E-06 2.55 L0071045 SHPRD4 Shipping road segment 4 621100.31 4292464.05 381.20 3.00E-06 2.55 L0071046 SHPRD4 Shipping road segment 4 621088.31 4292464.13 381.10 3.00E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071047 SHPRD4 Shipping road segment 4 621076.31 4292464.20 381.10 3.00E-06 2.55 L0071048 SHPRD4 Shipping road segment 4 621064.31 4292464.28 381.10 3.00E-06 2.55 L0071049 SHPRD4 Shipping road segment 4 621052.31 4292464.36 381.10 3.00E-06 2.55 L0071050 SHPRD4 Shipping road segment 4 621040.31 4292464.43 381.10 3.00E-06 2.55 L0071051 SHPRD4 Shipping road segment 4 621028.31 4292464.51 381.10 3.00E-06 2.55 L0071052 SHPRD4 Shipping road segment 4 621016.31 4292464.59 381.10 3.00E-06 2.55 L0071053 SHPRD4 Shipping road segment 4 621004.31 4292464.67 381.10 3.00E-06 2.55 L0071054 SHPRD4 Shipping road segment 4 620992.31 4292464.74 381.10 3.00E-06 2.55 L0071055 SHPRD4 Shipping road segment 4 620980.31 4292464.82 381.10 3.00E-06 2.55 L0071056 SHPRD4 Shipping road segment 4 620968.31 4292464.90 381.10 3.00E-06 2.55 L0071057 SHPRD4 Shipping road segment 4 620956.32 4292464.97 381.10 3.00E-06 2.55 L0071058 SHPRD4 Shipping road segment 4 620944.32 4292465.05 381.10 3.00E-06 2.55 L0071059 SHPRD4 Shipping road segment 4 620932.32 4292465.13 381.10 3.00E-06 2.55 L0071060 SHPRD4 Shipping road segment 4 620920.32 4292465.20 381.10 3.00E-06 2.55 L0071061 SHPRD4 Shipping road segment 4 620908.32 4292465.28 381.10 3.00E-06 2.55 L0071062 SHPRD4 Shipping road segment 4 620896.32 4292465.36 381.10 3.00E-06 2.55 L0071063 SHPRD3 Shipping road segment 3 621172.28 4292465.29 381.10 2.25E-06 2.55 L0071064 SHPRD3 Shipping road segment 3 621179.70 4292470.38 381.10 2.25E-06 2.55 L0071065 SHPRD3 Shipping road segment 3 621187.12 4292475.48 381.10 2.25E-06 2.55 L0071066 SHPRD3 Shipping road segment 3 621190.25 4292483.58 381.10 2.25E-06 2.55 L0071067 SHPRD3 Shipping road segment 3 621192.50 4292492.29 381.10 2.25E-06 2.55 L0071068 SHPRD3 Shipping road segment 3 621193.80 4292501.11 381.10 2.25E-06 2.55 L0071069 SHPRD3 Shipping road segment 3 621193.53 4292510.11 381.10 2.25E-06 2.55 L0071070 SHPRD3 Shipping road segment 3 621193.27 4292519.11 381.00 2.25E-06 2.55 L0071071 SHPRD3 Shipping road segment 3 621193.00 4292528.10 381.00 2.25E-06 2.55 L0071072 SHPRD3 Shipping road segment 3 621196.15 4292536.53 381.00 2.25E-06 2.55 L0071073 SHPRD3 Shipping road segment 3 621199.32 4292544.95 381.00 2.25E-06 2.55 L0071074 SHPRD3 Shipping road segment 3 621203.23 4292552.18 381.00 2.25E-06 2.55 L0071075 SHPRD3 Shipping road segment 3 621212.18 4292551.19 381.00 2.25E-06 2.55 L0071076 SHPRD3 Shipping road segment 3 621221.13 4292550.20 381.00 2.25E-06 2.55 L0071077 SHPRD3 Shipping road segment 3 621225.46 4292543.26 381.00 2.25E-06 2.55 L0071078 SHPRD3 Shipping road segment 3 621228.65 4292534.84 381.00 2.25E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071079 SHPRD3 Shipping road segment 3 621231.85 4292526.43 381.00 2.25E-06 2.55 L0071080 SHPRD3 Shipping road segment 3 621233.46 4292517.75 381.00 2.25E-06 2.55 L0071081 SHPRD3 Shipping road segment 3 621233.13 4292508.76 381.00 2.25E-06 2.55 L0071082 SHPRD3 Shipping road segment 3 621232.79 4292499.77 381.00 2.25E-06 2.55 L0071083 SHPRD3 Shipping road segment 3 621232.46 4292490.77 381.00 2.25E-06 2.55 L0071084 SHPRD3 Shipping road segment 3 621232.12 4292481.78 381.00 2.25E-06 2.55 L0071085 SHPRD3 Shipping road segment 3 621227.63 4292474.97 380.90 2.25E-06 2.55 L0071086 SHPRD3 Shipping road segment 3 621220.41 4292469.60 381.00 2.25E-06 2.55 L0071087 SHPRD3 Shipping road segment 3 621213.19 4292464.22 381.00 2.25E-06 2.55 L0071088 SHPRD3 Shipping road segment 3 621204.47 4292463.42 381.10 2.25E-06 2.55 L0071089 SHPRD3 Shipping road segment 3 621195.47 4292463.46 381.10 2.25E-06 2.55 L0071090 SHPRD3 Shipping road segment 3 621186.47 4292463.51 381.10 2.25E-06 2.55 L0071091 DELRD2 Delivery road segment 2 620882.68 4292478.62 381.10 1.63E-06 2.55 L0071092 DELRD2 Delivery road segment 2 620887.43 4292486.27 381.10 1.63E-06 2.55 L0071093 DELRD2 Delivery road segment 2 620895.06 4292489.11 381.10 1.63E-06 2.55 L0071094 DELRD2 Delivery road segment 2 620904.04 4292489.70 381.10 1.63E-06 2.55 L0071095 DELRD2 Delivery road segment 2 620913.02 4292490.29 381.10 1.63E-06 2.55 L0071096 DELRD2 Delivery road segment 2 620922.00 4292490.88 381.10 1.63E-06 2.55 L0071097 DELRD2 Delivery road segment 2 620930.99 4292491.47 381.10 1.63E-06 2.55 L0071098 DELRD2 Delivery road segment 2 620939.97 4292492.06 381.10 1.63E-06 2.55 L0071099 DELRD2 Delivery road segment 2 620948.95 4292492.65 381.10 1.63E-06 2.55 L0071100 DELRD2 Delivery road segment 2 620957.93 4292493.24 381.10 1.63E-06 2.55 L0071101 DELRD2 Delivery road segment 2 620966.91 4292493.83 381.10 1.63E-06 2.55 L0071102 DELRD2 Delivery road segment 2 620975.89 4292494.42 381.10 1.63E-06 2.55 L0071103 DELRD2 Delivery road segment 2 620976.98 4292503.33 381.10 1.63E-06 2.55 L0071104 DELRD2 Delivery road segment 2 620978.05 4292512.26 381.10 1.63E-06 2.55 L0071105 DELRD2 Delivery road segment 2 620979.12 4292521.20 381.10 1.63E-06 2.55 L0071106 DELRD2 Delivery road segment 2 620980.18 4292530.14 381.10 1.63E-06 2.55 L0071107 DELRD2 Delivery road segment 2 620981.25 4292539.07 381.10 1.63E-06 2.55 L0071108 DELRD2 Delivery road segment 2 620982.31 4292548.01 381.10 1.63E-06 2.55 L0071109 DELRD2 Delivery road segment 2 620983.38 4292556.95 381.10 1.63E-06 2.55 L0071110 DELRD2 Delivery road segment 2 620979.81 4292563.13 381.10 1.63E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071111 DELRD2 Delivery road segment 2 620971.46 4292566.49 381.10 1.63E-06 2.55 L0071112 DELRD2 Delivery road segment 2 620963.11 4292569.85 381.00 1.63E-06 2.55 L0071113 DELRD2 Delivery road segment 2 620954.76 4292573.20 381.00 1.63E-06 2.55 L0071114 DELRD2 Delivery road segment 2 620946.41 4292576.56 381.00 1.63E-06 2.55 L0071115 DELRD2 Delivery road segment 2 620938.05 4292579.92 381.00 1.63E-06 2.55 L0071116 DELRD2 Delivery road segment 2 620929.70 4292583.27 381.00 1.63E-06 2.55 L0071117 DELRD2 Delivery road segment 2 620921.95 4292587.69 381.00 1.63E-06 2.55 L0071118 DELRD2 Delivery road segment 2 620914.76 4292593.10 381.00 1.63E-06 2.55 L0071119 DELRD2 Delivery road segment 2 620913.57 4292601.48 380.90 1.63E-06 2.55 L0071120 DELRD2 Delivery road segment 2 620913.64 4292610.48 380.90 1.63E-06 2.55 L0071121 DELRD2 Delivery road segment 2 620913.71 4292619.48 380.90 1.63E-06 2.55 L0071122 DELRD2 Delivery road segment 2 620913.77 4292628.48 380.90 1.63E-06 2.55 L0071123 DELRD2 Delivery road segment 2 620913.84 4292637.48 380.90 1.63E-06 2.55 L0071124 DELRD2 Delivery road segment 2 620913.91 4292646.48 380.90 1.63E-06 2.55 L0071125 DELRD2 Delivery road segment 2 620913.98 4292655.48 380.90 1.63E-06 2.55 L0071126 DELRD2 Delivery road segment 2 620914.05 4292664.48 380.90 1.63E-06 2.55 L0071127 DELRD2 Delivery road segment 2 620914.12 4292673.48 380.90 1.63E-06 2.55 L0071128 DELRD2 Delivery road segment 2 620914.19 4292682.48 380.90 1.63E-06 2.55 L0071129 DELRD2 Delivery road segment 2 620914.26 4292691.48 380.90 1.63E-06 2.55 L0071130 DELRD2 Delivery road segment 2 620914.60 4292700.46 380.90 1.63E-06 2.55 L0071131 DELRD2 Delivery road segment 2 620915.39 4292709.43 380.90 1.63E-06 2.55 L0071132 DELRD2 Delivery road segment 2 620916.18 4292718.39 380.90 1.63E-06 2.55 L0071133 DELRD2 Delivery road segment 2 620916.98 4292727.36 380.90 1.63E-06 2.55 L0071134 DELRD2 Delivery road segment 2 620920.11 4292734.68 380.90 1.63E-06 2.55 L0071135 DELRD2 Delivery road segment 2 620928.28 4292738.46 380.90 1.63E-06 2.55 L0071136 DELRD2 Delivery road segment 2 620936.45 4292742.23 380.90 1.63E-06 2.55 L0071137 DELRD2 Delivery road segment 2 620944.62 4292746.01 380.90 1.63E-06 2.55 L0071138 DELRD2 Delivery road segment 2 620952.78 4292749.79 380.90 1.63E-06 2.55 L0071139 DELRD2 Delivery road segment 2 620960.95 4292753.57 380.90 1.63E-06 2.55 L0071140 DELRD2 Delivery road segment 2 620969.90 4292753.77 380.90 1.63E-06 2.55 L0071141 DELRD2 Delivery road segment 2 620978.90 4292753.75 380.90 1.63E-06 2.55 L0071142 DELRD2 Delivery road segment 2 620987.90 4292753.73 380.90 1.63E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071143 DELRD2 Delivery road segment 2 620996.90 4292753.71 380.90 1.63E-06 2.55 L0071144 DELRD2 Delivery road segment 2 621005.90 4292753.68 380.90 1.63E-06 2.55 L0071145 DELRD2 Delivery road segment 2 621014.90 4292753.66 380.90 1.63E-06 2.55 L0071146 DELRD2 Delivery road segment 2 621023.90 4292753.64 380.90 1.63E-06 2.55 L0071147 DELRD2 Delivery road segment 2 621032.90 4292753.62 380.90 1.63E-06 2.55 L0071148 DELRD2 Delivery road segment 2 621041.90 4292753.60 380.90 1.63E-06 2.55 L0071149 DELRD2 Delivery road segment 2 621050.90 4292753.58 380.90 1.63E-06 2.55 L0071150 DELRD2 Delivery road segment 2 621059.90 4292753.55 380.90 1.63E-06 2.55 L0071151 DELRD2 Delivery road segment 2 621068.90 4292753.53 380.90 1.63E-06 2.55 L0071152 DELRD2 Delivery road segment 2 621077.90 4292753.51 380.90 1.63E-06 2.55 L0071153 DELRD2 Delivery road segment 2 621086.90 4292753.49 380.90 1.63E-06 2.55 L0071154 DELRD2 Delivery road segment 2 621095.90 4292753.47 380.90 1.63E-06 2.55 L0071155 DELRD2 Delivery road segment 2 621104.90 4292753.45 380.90 1.63E-06 2.55 L0071156 DELRD2 Delivery road segment 2 621113.90 4292753.43 380.90 1.63E-06 2.55 L0071157 DELRD2 Delivery road segment 2 621122.90 4292753.40 380.90 1.63E-06 2.55 L0071158 DELRD2 Delivery road segment 2 621131.90 4292753.38 380.90 1.63E-06 2.55 L0071159 DELRD2 Delivery road segment 2 621140.90 4292753.36 380.90 1.63E-06 2.55 L0071160 DELRD2 Delivery road segment 2 621149.90 4292753.34 380.90 1.63E-06 2.55 L0071161 DELRD2 Delivery road segment 2 621158.90 4292753.32 380.90 1.63E-06 2.55 L0071162 DELRD2 Delivery road segment 2 621167.90 4292753.30 380.90 1.63E-06 2.55 L0071163 DELRD2 Delivery road segment 2 621176.90 4292753.28 380.90 1.63E-06 2.55 L0071164 DELRD2 Delivery road segment 2 621185.90 4292753.25 380.90 1.63E-06 2.55 L0071165 DELRD2 Delivery road segment 2 621194.90 4292753.23 380.90 1.63E-06 2.55 L0071166 DELRD2 Delivery road segment 2 621203.90 4292753.21 380.90 1.63E-06 2.55 L0071167 DELRD2 Delivery road segment 2 621212.90 4292753.19 380.90 1.63E-06 2.55 L0071168 DELRD2 Delivery road segment 2 621221.90 4292753.17 380.90 1.63E-06 2.55 L0071169 DELRD2 Delivery road segment 2 621230.90 4292753.15 380.90 1.63E-06 2.55 L0071170 DELRD2 Delivery road segment 2 621239.90 4292753.12 381.00 1.63E-06 2.55 L0071171 DELRD2 Delivery road segment 2 621248.90 4292753.10 381.00 1.63E-06 2.55 L0071172 DELRD2 Delivery road segment 2 621255.62 4292749.56 380.90 1.63E-06 2.55 L0071173 DELRD2 Delivery road segment 2 621259.29 4292741.35 380.90 1.63E-06 2.55 L0071174 DELRD2 Delivery road segment 2 621262.96 4292733.13 380.90 1.63E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071175 DELRD2 Delivery road segment 2 621266.64 4292724.91 380.90 1.63E-06 2.55 L0071176 DELRD2 Delivery road segment 2 621270.31 4292716.70 380.90 1.63E-06 2.55 L0071177 DELRD2 Delivery road segment 2 621269.12 4292708.09 380.90 1.63E-06 2.55 L0071178 DELRD2 Delivery road segment 2 621266.80 4292699.40 380.90 1.63E-06 2.55 L0071179 DELRD2 Delivery road segment 2 621264.48 4292690.70 380.90 1.63E-06 2.55 L0071180 DELRD2 Delivery road segment 2 621261.87 4292682.12 380.90 1.63E-06 2.55 L0071181 DELRD2 Delivery road segment 2 621257.45 4292674.28 380.90 1.63E-06 2.55 L0071182 DELRD2 Delivery road segment 2 621253.03 4292666.45 380.90 1.63E-06 2.55 L0071183 DELRD2 Delivery road segment 2 621248.60 4292658.61 380.90 1.63E-06 2.55 L0071184 DELRD2 Delivery road segment 2 621244.18 4292650.77 380.90 1.63E-06 2.55 L0071185 DELRD2 Delivery road segment 2 621239.75 4292642.93 380.90 1.63E-06 2.55 L0071186 DELRD2 Delivery road segment 2 621236.26 4292634.84 380.90 1.63E-06 2.55 L0071187 DELRD2 Delivery road segment 2 621236.04 4292625.84 380.90 1.63E-06 2.55 L0071188 DELRD2 Delivery road segment 2 621235.82 4292616.84 380.90 1.63E-06 2.55 L0071189 DELRD2 Delivery road segment 2 621235.59 4292607.85 380.90 1.63E-06 2.55 L0071190 DELRD2 Delivery road segment 2 621235.37 4292598.85 380.90 1.63E-06 2.55 L0071191 DELRD2 Delivery road segment 2 621235.15 4292589.85 380.90 1.63E-06 2.55 L0071192 DELRD2 Delivery road segment 2 621234.93 4292580.85 380.90 1.63E-06 2.55 L0071193 DELRD2 Delivery road segment 2 621234.70 4292571.86 380.90 1.63E-06 2.55 L0071194 DELRD2 Delivery road segment 2 621234.48 4292562.86 380.90 1.63E-06 2.55 L0071195 DELRD2 Delivery road segment 2 621234.26 4292553.86 380.90 1.63E-06 2.55 L0071196 DELRD2 Delivery road segment 2 621234.04 4292544.87 381.00 1.63E-06 2.55 L0071197 DELRD2 Delivery road segment 2 621233.81 4292535.87 381.00 1.63E-06 2.55 L0071198 DELRD2 Delivery road segment 2 621233.64 4292526.87 381.00 1.63E-06 2.55 L0071199 DELRD2 Delivery road segment 2 621233.48 4292517.87 380.90 1.63E-06 2.55 L0071200 DELRD2 Delivery road segment 2 621233.32 4292508.87 380.90 1.63E-06 2.55 L0071201 DELRD2 Delivery road segment 2 621233.17 4292499.87 380.90 1.63E-06 2.55 L0071202 DELRD2 Delivery road segment 2 621233.01 4292490.88 380.90 1.63E-06 2.55 L0071203 DELRD2 Delivery road segment 2 621232.85 4292481.88 380.90 1.63E-06 2.55 L0071204 DELRD2 Delivery road segment 2 621232.12 4292473.19 380.90 1.63E-06 2.55 L0071205 DELRD2 Delivery road segment 2 621224.65 4292468.17 381.00 1.63E-06 2.55 L0071206 DELRD2 Delivery road segment 2 621217.13 4292463.30 381.10 1.63E-06 2.55 
Air Quality 

 SI

AERMOD 

Source ID 1

AERMOD 

Source 

Group ID

Description Easting 

(meters) 2

Northing 

(meters) 2

Elevation 

(meters) 3

Lead 

Emission 

Rate (gram / 

second) 4

Release 

Height 

(meters) 5

Ini

D

(

Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling Analysis

L0071207 DELRD2 Delivery road segment 2 621208.13 4292463.36 381.10 1.63E-06 2.55 L0071208 DELRD2 Delivery road segment 2 621199.13 4292463.42 381.10 1.63E-06 2.55 L0071209 DELRD2 Delivery road segment 2 621190.13 4292463.47 381.10 1.63E-06 2.55 L0071210 DELRD2 Delivery road segment 2 621181.13 4292463.53 381.10 1.63E-06 2.55 

Notes:

8 The emission rate for BALLFUG has been reduced by 99% due to fugitive emission control measures.7 The Initial Vertical Dimension (σz) for the road fugitives is based on a plume height of 5.1 meters then divided by 2.15 per USEPA 2012.

1 Reserved.2 Easting and Northing Coordinates for Volume Sources are in UTM Zone 14, NAD83 Datum.3 Elevation is assigned by AERMAP (Version 11103) using NED 1/3 Arc Second resolution elevation data from USGS’s Seamless Data Serv4 Lead Emission Rate for road traffic fugitive sources is determined using equations in AP-42, Paved Roads. Silt and lead content were mea

Exide's Salina facility.

5 The Release Height for the traffic fugitives was estimated as half of the plume height, which in turn is calculated as 1.7 times the height of t6 Initial Lateral Dimension for road fugitives (Line Source Represented by Separated Volume Sources) is calculated from the roadway width 

2.15 as per USEPA 2012.
Air Quality Dispersion Modeling Report

SIP Attainment Demonstration

Month Sector Albedo

(Alb)

Bowen Ratio 

(Bo)

Surface 

Roughness 

Length

(Zo)

1 1 0.18 0.86 0.028

1 2 0.18 0.86 0.034

1 3 0.18 0.86 0.035

1 4 0.18 0.86 0.025

1 5 0.18 0.86 0.02

1 6 0.18 0.86 0.015

1 7 0.18 0.86 0.024

1 8 0.18 0.86 0.02

1 9 0.18 0.86 0.025

1 10 0.18 0.86 0.031

1 11 0.18 0.86 0.025

1 12 0.18 0.86 0.032

2 1 0.18 0.86 0.028

2 2 0.18 0.86 0.034

2 3 0.18 0.86 0.035

2 4 0.18 0.86 0.025

2 5 0.18 0.86 0.02

2 6 0.18 0.86 0.015

2 7 0.18 0.86 0.024

2 8 0.18 0.86 0.02

2 9 0.18 0.86 0.025

2 10 0.18 0.86 0.031

2 11 0.18 0.86 0.025

2 12 0.18 0.86 0.032

3 1 0.16 0.43 0.034

3 2 0.16 0.43 0.039

3 3 0.16 0.43 0.041

3 4 0.16 0.43 0.032

3 5 0.16 0.43 0.032

3 6 0.16 0.43 0.026

3 7 0.16 0.43 0.045

3 8 0.16 0.43 0.038

3 9 0.16 0.43 0.042

3 10 0.16 0.43 0.038

3 11 0.16 0.43 0.032

3 12 0.16 0.43 0.037

4 1 0.16 0.43 0.034

4 2 0.16 0.43 0.039

4 3 0.16 0.43 0.041

4 4 0.16 0.43 0.032

4 5 0.16 0.43 0.032

4 6 0.16 0.43 0.026

4 7 0.16 0.43 0.045

4 8 0.16 0.43 0.038

4 9 0.16 0.43 0.042

4 10 0.16 0.43 0.038

4 11 0.16 0.43 0.032

4 12 0.16 0.43 0.037

5 1 0.16 0.43 0.034

Table 2-7: Surface Parameter Values
Air Quality Dispersion Modeling Report

SIP Attainment Demonstration

Month Sector Albedo

(Alb)

Bowen Ratio 

(Bo)

Surface 

Roughness 

Length

(Zo)

Table 2-7: Surface Parameter Values

5 2 0.16 0.43 0.039

5 3 0.16 0.43 0.041

5 4 0.16 0.43 0.032

5 5 0.16 0.43 0.032

5 6 0.16 0.43 0.026

5 7 0.16 0.43 0.045

5 8 0.16 0.43 0.038

5 9 0.16 0.43 0.042

5 10 0.16 0.43 0.038

5 11 0.16 0.43 0.032

5 12 0.16 0.43 0.037

6 1 0.19 0.67 0.038

6 2 0.19 0.67 0.044

6 3 0.19 0.67 0.046

6 4 0.19 0.67 0.038

6 5 0.19 0.67 0.079

6 6 0.19 0.67 0.07

6 7 0.19 0.67 0.076

6 8 0.19 0.67 0.085

6 9 0.19 0.67 0.098

6 10 0.19 0.67 0.066

6 11 0.19 0.67 0.037

6 12 0.19 0.67 0.042

7 1 0.19 0.67 0.038

7 2 0.19 0.67 0.044

7 3 0.19 0.67 0.046

7 4 0.19 0.67 0.038

7 5 0.19 0.67 0.079

7 6 0.19 0.67 0.07

7 7 0.19 0.67 0.076

7 8 0.19 0.67 0.085

7 9 0.19 0.67 0.098

7 10 0.19 0.67 0.066

7 11 0.19 0.67 0.037

7 12 0.19 0.67 0.042

8 1 0.19 0.67 0.038

8 2 0.19 0.67 0.044

8 3 0.19 0.67 0.046

8 4 0.19 0.67 0.038

8 5 0.19 0.67 0.079

8 6 0.19 0.67 0.07

8 7 0.19 0.67 0.076

8 8 0.19 0.67 0.085

8 9 0.19 0.67 0.098

8 10 0.19 0.67 0.066

8 11 0.19 0.67 0.037

8 12 0.19 0.67 0.042

9 1 0.19 0.86 0.034

9 2 0.19 0.86 0.039
Air Quality Dispersion Modeling Report

SIP Attainment Demonstration

Month Sector Albedo

(Alb)

Bowen Ratio 

(Bo)

Surface 

Roughness 

Length

(Zo)

Table 2-7: Surface Parameter Values

9 3 0.19 0.86 0.041

9 4 0.19 0.86 0.033

9 5 0.19 0.86 0.074

9 6 0.19 0.86 0.064

9 7 0.19 0.86 0.071

9 8 0.19 0.86 0.082

9 9 0.19 0.86 0.096

9 10 0.19 0.86 0.061

9 11 0.19 0.86 0.032

9 12 0.19 0.86 0.037

10 1 0.19 0.86 0.034

10 2 0.19 0.86 0.039

10 3 0.19 0.86 0.041

10 4 0.19 0.86 0.033

10 5 0.19 0.86 0.074

10 6 0.19 0.86 0.064

10 7 0.19 0.86 0.071

10 8 0.19 0.86 0.082

10 9 0.19 0.86 0.096

10 10 0.19 0.86 0.061

10 11 0.19 0.86 0.032

10 12 0.19 0.86 0.037

11 1 0.19 0.86 0.034

11 2 0.19 0.86 0.039

11 3 0.19 0.86 0.041

11 4 0.19 0.86 0.033

11 5 0.19 0.86 0.074

11 6 0.19 0.86 0.064

11 7 0.19 0.86 0.071

11 8 0.19 0.86 0.082

11 9 0.19 0.86 0.096

11 10 0.19 0.86 0.061

11 11 0.19 0.86 0.032

11 12 0.19 0.86 0.037

12 1 0.18 0.49 0.028

12 2 0.18 0.49 0.034

12 3 0.18 0.49 0.035

12 4 0.18 0.49 0.025

12 5 0.18 0.49 0.02

12 6 0.18 0.49 0.015

12 7 0.18 0.49 0.024

12 8 0.18 0.49 0.02

12 9 0.18 0.49 0.025

12 10 0.18 0.49 0.031

12 11 0.18 0.49 0.025

12 12 0.18 0.49 0.032
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

Figures 
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 1-1

Drawn By: WML

Legend

Metlcast Building

Non-Attainment Area

Exide Property Boundary

0 10.5

Km

Site and Nonattainment Area

Date: 2/20/2013

Location Map: Wide View .
Exide Technologies

Salina, Kansas Battery Plant

!.

!.

!.

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 1-2

Drawn By: WML

Legend

Non-Attainment Area

Metlcast Building

Property Boundary

!. Discrete Receptors

0 0.25 0.5

Km

Site and Nonattainment Area

Date: 2/20/2013

Location Map: Close View .

Schilling Elementary School

Coronado Elementary School

KDHE Ambient

Lead Monitor
Exide Technologies

Salina, Kansas Battery Plant

kj

kjkjkjkjkj

kjkj kj

kj

kj

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-1a

Drawn By: WML

Legend

kj Point Sources

Exide Property Boundary

0 40 80

Meters

Location of Point Sources

Date: 6/19/2013

.

BH3

BH2

BH1

OM BH4

BH5

BH15

BH14

BH13

BH12

BH11
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-1b

Drawn By: WML

Legend

METLCAST Volume Source

BALLFUG Volume Source

Metlcast Building

Property Boundary

0 55 110

Meters

Location of Volume Sources

Date: 2/20/2013

.
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-1c

Drawn By: WML

Legend

Delivery Road Segment 1

Delivery Road Segment 2

Paved Road Silt Sample Location

Property Boundary

0 40 80

Meters

Location of Volume Sources:

Date: 2/20/2013

Delivery Route

.
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-1d

Drawn By: WML

Legend

Shipping Road Segment 1

Shipping Road Segment 2

Shipping Road Segment 3

Shipping Road Segment 4

Paved Road Silt Sample Location

Property Boundary

0 40 80

Meters

Location of Volume Sources:

Date: 2/20/2013

Shipping Route

.
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-1e

Drawn By: WML

Legend

Metlcast Building

Property Boundary

0 55 110

Meters

Location of Buildings

Date: 6/19/2013

and Property Line .

Metlcast

Height 6.10 m

Oxide Mill

Height: 11.89 m

BH2 Fabric Filter Housing

Height: 11.07 m

Covered Shed

Height: 6.10 m

West DC

Height: 10.67 m

BH5 Fabric Filter Housing

Height: 9.75 m

Break Room

Height: 8.23 m

Offices and QC Lab

Height: 4.57 m

Main Plant

Height: 7.62 m

East DC

Height: 9.14 m

Acid Farm

Ball Mill Height: 7.32 m

Height 14.33 m

BH1 Fabric Filter Housing

Height: 9.73 m

BH4 Fabric Filter Housing

Height: 8.23 m

BH3 Fabric Filter Housing

Height 11.07 m

Main Storage

Height: 6.10 m
DRAWN BY: HMN DATE: 3/18/11

Figure 2-2

Elevation Data Domain Imported into AERMAP

Exide Technologies

Salina, Kansas Battery Plant 0 5

.

10

Km

Legend

Exide Technologies Battery Plant
WRPLOT View - Lakes Environmental Software

WIND ROSE PLOT:

Figure 2-3: Wind Rose for Salina Municipal Airport

 Exide Technologies Salina (KS) Battery Plant

COMMENTS: COMPANY NAME:

ENVIRON International Corporation

MODELER:

WML/BC

DATE:

2/26/2013

PROJECT NO.:

07-26539B

NORTH

SOUTH

WEST EAST

4%

8%

12%

16%

20%

WIND SPEED 

(m/s)

 >= 11.1

 8.8 - 11.1

 5.7 - 8.8

 3.6 - 5.7

 2.1 - 3.6

 0.5 - 2.1

Calms: 0.38%

TOTAL COUNT:

43745 hrs.

CALM WINDS:

0.38%

DATA PERIOD:

Start Date: 1/1/2007 - 00:00

End Date: 12/31/2011 - 22:00

AVG. WIND SPEED:

4.92 m/s

DISPLAY:

 Wind Speed

Direction (blowing from)
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-4 Drawn By: WML

Legend

1 km buffer

10 km buffer

Open Water

Low Intensity Residential

High Intensity Residential

Commercial / Industrial / Transportation

Bare Rock / Sand / Clay

Quarries / Strip Mines / Gravel Pits

Transitional

Deciduous Forest

Mixed Forest

Shrubland

Grassland / Herbaceous

Pasture / Hay

Row Crops

Small Grains

Fallow

Urban / Recreational Grasses

Woody Wetlands

Emergent Herbaceous Wetlands

0 1,000 2,000

Meters

Land Cover Depiction Around

Date: 5/3/2013

Salina Municipal Airport

.
Exide Technologies

Salina, Kansas Battery Plant

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-5 Drawn By: WML

Legend

1 km buffer

10 km buffer

Open Water

Low Intensity Residential

High Intensity Residential

Commercial / Industrial / Transportation

Bare Rock / Sand / Clay

Quarries / Strip Mines / Gravel Pits

Transitional

Deciduous Forest

Evergreen Forest

Mixed Forest

Shrubland

Grassland / Herbaceous

Pasture / Hay

Row Crops

Small Grains

Fallow

Urban / Recreational Grasses

Woody Wetlands

Emergent Herbaceous Wetlands

0 1,000 2,000

Meters

Land Cover Depiction Around

Date: 5/3/2013

Exide Battery Plant

.
Exide Technologies

Salina, Kansas Battery Plant

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !( !(

!.

!.

!.

!.

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 2-6

Drawn By: WML

Legend

Property Boundary Receptors

!( Off Property Receptors

!. Discrete Receptors

!. Metlcast Facility

Non-Attainment Area

Property Boundary

0 245 490

Meters

Receptor Placement Used

Date: 6/24/2013

for Modeling Analysis

.

Schilling Elementary School

Coronado Elementary School

KDHE Ambient

Lead Monitor
Exide Technologies

Salina, Kansas Battery Plant

^_

Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping,

Aerogrid, IGN, IGP, and the GIS User Community, Copyright:© 2012

Esri, DeLorme, NAVTEQ, TomTom

Figure 3-1

Drawn By: WML

Legend

Non-Attainment Area

Property Boundary

Metlcast Building

Concentration (ug/m3)

0.0165 - 0.025

0.025 - 0.050

0.050 - 0.075

0.075 - 0.100

0.100 - 0.125

0.125 - 0.1372

^_ Maximum Concentration (0.1372 ug/m3)

0 200 400

Meters

Maximum Concentration at Each Receptor

Date: 6/19/2013

(including 0.01 ug/m3 background)

.
Air Quality Dispersion Modeling Report 

 SIP Attainment Demonstration 

Attachment 1 
Air Qual

 

Attachment 1: Fugitive Traffic Emission EstimatesThe USEPA's Paved Roads section from AP-42 was used to estimate fugitive traffic emissions.Paved Roads Constant Value 

grams / pound 453.6

AP-42 Section 13.2.1 sq meter / sq foot 0.093

milligram / kilogram 0.000001

E = (k(sL)0.91 x (W1.02)) x (1 - P / 4N) pounds / ton 2000

yards / meter 1.09

where: feet / mile 5280E = emission factor (lb/VMT) seconds / year 31536000k = particle size multiplier (lb/VMT) seconds / minute 60sL = road surface silt loading (g/m2) minutes / hour 60W = average weight of vehicles traveling the road (tons) hours / year 8760P = number of precipitation days (>0.01in) over the averaging period milligram / gram 1000N = number of days in the averaging period meters / foot 0.3048VMT = vehicle miles traveled k (PM30) (paved) 0.011 

P 80 

N 365 

sL exponent 0.91

W exponent 1.02

W (DELIVERIES) 26.3 

W (SHIPPING) 28 

SITE PARAMETERSRoadway dust samples were taken on Exide's Salina facility grounds on January 10th 2012.

Silt % a Weight (lb) b Weight (g) Area (sqft) c Area (m2) sL (g/m2) Lead mg/kg d Lead fraction

14.3% 0.41 184 20 1.858 14.16 550 0.055%

a Silt content analysis provided via email from Matthew Spencer on Jan. 24, 2012. Analysis conducted Jan. 20 2012 by Penniman & Browne, Inc.b Weights provided via email from Matthew Spencer on Feb. 7, 2012

c Areas provided via email from Mathew Spencer on Feb. 3, 2012

d Lead content provided via email from Matthew Spencer on Jan. 24, 2012. Analysis conducted Jan. 13, 2012 by Microbac Laboratories Inc. of Baltim
Air Qual

 

TRAFFIC PATTERNTraffic on-site enters from the southwest and checks in at the security station. All deliveriesproceed clockwise around the property to their designated location then continue clockwise and leave along Berg Road south of the facility (this is designated as DELIVERIES). Some deliveriesoccur daily, others weekly.Trucks picking up finished batteries and duff batteries check in at security, proceed along Berg Road south of the plant to the southeastern part of the building then return to Berg Road to leave (this is designated SHIPPING).DELIVERIES ROUTEDaily deliveries include 17 trucks of Lead Pigs / Ingots, 2 trucks of Rolled Lead Strip, and 6 trucks of Plastic Cases and Covers, totalday. The number of vehicle miles travelled per year (VMT) is calculated by multiplying the distance around the plant by the number o

Trucks VMT

(feet) (miles) (1 / day) (miles / year)

4625 0.88 25 7993

Weekly deliveries include 5 trucks of Paper Separators, 8 trucks of Lead Oxide, 18 trucks of Duff Batteries, and 5 trucks of Scrap Wa(to Smelters). VMT is calculated similarly:

Trucks VMT

(feet) (miles) (1 / week) (miles / year)

4625 0.88 36 1640

To obtain a Fleet Average Weight for this route, an average of vehicle mass weighted by frequency was used:

Trucks Trips / Day

Unloaded

Weight

Loaded

Weight

Average 

Weight

Lead Pigs 17 16 36 26

Ingots 2 16 36 26

Plastic 6 16 36 26

Paper 

Separator 0.71 16 40 28

Duff Battery 2.57 16 40 28

Scrap Waste 0.71 16 40 28

Lead Oxide 1.14 16 40 28

Total 30.14 Fleet Average Weight = 26.3

DistanceDistance
Air Qual

 

To calculate the lead emissions, the formula from AP-42 as listed above was used:

E, PM30 VMT

(lb / VMT) (miles / yr) (tons TSP / yr) (lb Lead / yr) (lb Lead /hr) (g Lead / sec)

3.261 9633 15.705 17.275 1.972E-03 2.485E-04

To distribute emissions along the roadway on the site, the formulae recommended in the March 2, 2012 EPA documentHaul Road Workgroup Final Report Package were used to calculate volume source parameters. One roadway segment,that at the south side of the plant off property, was considered a two lane source, while the remainder was considereda single lane source.

Roadway 

width

Vehicle 

height (VH)

Vehicle width 

(VW)

Vehicle length 

(VL)

Top of 

plume height

Volume 

source Width of plume Initial sigma y 

(m) (m) (m) (m) (m) (m) (m) (m) 

6 3 3 10 5.1 2.55 9 4.19 

The deliveries roadway was broken down into two sections to parameterize the one or two lane segments.These sources were labelled DELRD1 through DELRD2, and were parameterized as indicated below. The emission rate for the road

divided evenly by the length of each segment.

Width of each 

volume source

Length of 

run

Emission rate per 

segment

Emission rate per 

volume source

(m) (m) (g Lead / sec) (g Lead / sec)

DELRD1 2 24 12 288 0.21 5.23E-05 2.18E-06DELRD2 1 120 9 1080 0.79 1.96E-04 1.63E-06

Emissions

Segment

Number of 

lanes

Number of 

volume sources

Length 

Fraction
Air Qual

 

SHIPPING ROUTEDaily shipments include 30 Finished Batteries and 10 Duff Batteries trucks per day, totalling 40 trucks per day.

Distance Distance Trucks VMT

(feet) (miles) (1 / day) (miles / year)

2825 0.54 40 7812

The weight of all incoming, empty trucks is 16 tons, and that of outgoing, loaded trucks is 40 tons. The average weight of this fleet is To calculate the lead emissions, the formula from AP-42 as listed above was used:

E, PM30 VMT

(lb / VMT) (miles / yr) (tons TSP / yr) (lb Lead / yr) (lb Lead /hr) (g Lead / sec)

3.47 7812 13.6 1.491E+01 1.703E-03 2.145E-04

To distribute emissions along the roadway on the site, the formulae recommended in the March 2, 2012 EPA documentHaul Road Workgroup Final Report Package were used to calculate volume source parameters. Two roadway segments,those travelling along the south side of the plant off property, were considered two lane sources, while the remainder were considere

single lane sources.

Roadway 

width

Vehicle 

height (VH)

Vehicle width 

(VW)

Vehicle length 

(VL)

Top of 

plume height

Volume 

source 

release height Width of plume Initial sigma y 

(m) (m) (m) (m) (m) (m) (m) (m) 

6 3 3 10 5.1 2.55 9 4.19 

The shipping route sources were labelled SHPRD1 through SHPRD4, and were parameterized as indicated below. The emission rat

was divided evenly by the length of each segment.

Width of each 

volume source

Length of 

run

Emission rate per 

segment

Emission rate per 

volume source

(m) (m) (g Lead / sec) (g Lead / sec)

SHPRD1 1 14 9 126 0.15 3.15E-05 2.25E-06SHPRD2 2 16 12 192 0.22 4.80E-05 3.00E-06SHPRD3 1 28 9 252 0.29 6.30E-05 2.25E-06SHPRD4 2 24 12 288 0.34 7.20E-05 3.00E-06

Emissions

Segment

Number of 

lanes

Number of 

volume sources

Length 

Fraction