# 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

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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 Ar ound 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/m 3 

## background)

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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 Pr ogram Plume Rise Model enhancements CFR Code of Federal Regulations ENVIRON ENVIRON Inter national 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

m 2 

### square meter

m 3 

### 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 μ g/m 3 

## on a calendar quarter average to 0.15 μ g/m 3 

## 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 μ g/m 3



## . 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 devel opment 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 t hese 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 northto 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.

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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.

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Introduction 3



# 1.4 Contact Information Exide Technologies has contracted with ENVIRON International Corporation to perform the air quality analyses for this project. The EN VIRON 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

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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 usi ng 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 Un iversal Transverse Mercator (UTM) Coordinate System which includes the inherent benefit of not using negative numbers or east/west designations. In addition, the UTM coordinate syste m 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) For tran 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 sour ces 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 model ed as discharging from a raised combined stack

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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 direct ly 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 det ermined 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 esti mated 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

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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 emi ssion 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) w ill in the future be ducted (labeled OM).

It is expected that these stack height increas es 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 4 th 

## Quarter FY 14

BH11-BH15, ball mill stacks Increase stack heights by 35 feet 3 rd 

## Quarter FY 14

OM1-OM10, oxide mill stacks Manifold to new stack, 65 feet tall 3 rd 

## 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 or iginally 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

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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 t he 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. Sectionspassing 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

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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 SHPR D1, 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 expect ed 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 m easures 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 m odeled 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 implementat ion 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 3 rd 

## Quarter FY 14

The fleet average weight and vehicle activity (pat h 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 Serv er (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.

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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.

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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 bas ed 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 fo r 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 para meters supplied to the model were specified

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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 monthl y 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, w here average precipitation for the modeling period less than the 30 th 

## percentile was considered “Dry”, greater than the 70 th 

## percentile was considered “Wet” and between 30 th 

## and 70 th 

## 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 comb ine 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 meteor ological profiles if the both the source and the meteorological tower site are located in rural areas. An Au er land use analysis indicates that both the Exide Facility and SLN are located in “rural” areas (Section 2.8).

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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 stati on 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

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Modeling Methodologies, Settings, and Input 13



## property. The Exide Technologies property within t he 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.

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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 μ g/m 3 

## . 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 μ g/m 3 

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


# 3.3 Post Processi ng 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 USEP A (2009d) for use with USEPA’s LEADPOST software program. The POST files were proc essed 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 μ g/m 3 

## , 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

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15



# 4 Uncertainties

Understanding the degree of uncertainty associated with each component of a dispersion modeling analysis is critical to interpreting t he 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 test s 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 de livery 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 Gau ssian 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

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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 meteorologica l 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 par ameters 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.

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References 17



# 5 References

AERMOD; Version 12345 ed.; American Meteorol ogical 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 A gency (USEPA). 2004a. User's Guide for the AMS/EPA Regulatory Model - AERMOD. Offi ce of Air Quality Planning and Standards. Emissions Monitoring and Analysis Division. Re search Triangle Park, North Carolina. EPA454/B-03-001. September.

United States Environmental Protection A gency (USEPA). 2004b. User's Guide for the AERMOD Meteorological Preprocessor (AERME T). 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 Agenc y (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 A gency (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 A gency (USEPA). 2009c. User's Guide for the AMS/EPA Regulatory Model – AERMOD (Adde ndum 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



# TablesAir Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMOD SourceGroup ID1Source Description Compliance StackTest DateEasting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4,5StackHeight(meters)6StackTemperature(Kelvin)7ExitVelocity(meters /second)8StackDiameter(meters)9BH1 Bag House 1 8/21/2008 Test 621,077.79 4,292,731.83 381.10 3.71E-03 24.384 294.26 11.6428 2.032BH2 Bag House 2 11/17/2010 Test 621,094.61 4,292,748.65 381.10 1.73E-03 24.384 297.22 7.3737 2.134BH3 Bag House 3 9/29/2009 Test 621,074.19 4,292,747.26 381.10 5.63E-03 22.860 307.22 12.7141 1.753BH4 Bag House 4 8/2/2011 Test 621,062.00 4,292,743.15 381.10 1.85E-02 24.384 325.56 13.6963 2.454BH5 Bag House 5 6/27/2012 Test 620,996.47 4,292,665.43 381.10 1.63E-03 24.384 326.11 19.4189 1.829BH11 Bag House for Ball Mill 11 10/24/2007 Test 621,005.31 4,292,715.11 381.00 8.82E-04 24.512 354.44 14.6815 0.521BH12 Bag House for Ball Mill 12 10/24/2007 Test 620,998.00 4,292,715.72 381.00 8.82E-04 24.559 371.11 12.6931 0.521BH13 Bag House for Ball Mill 13 10/24/2007 Test 620,990.38 4,292,715.42 381.00 8.82E-04 24.533 324.44 8.1103 0.521BH14 Bag House for Ball Mill 14 10/24/2007 Test 620,983.67 4,292,715.42 381.00 8.82E-04 24.512 369.44 10.6975 0.521BH15 Bag House for Ball Mill 15 8/21/2008 Test 620,973.61 4,292,718.16 380.98 8.82E-04 24.788 308.33 8.5693 0.508OM Oxide Mills Refer to Table 1-2 621,016.13 4,292,731.45 381.10 8.47E-03 19.812 327.22 30.0000 0.864Notes:6Stack heights for BH1, BH11-BH15, and OM are proposed. All other stack heights are as constructed.7The stack temperature for OM is the flowrate-weighted temperature of OM1-OM10 exhausts.8All sources exhaust vertically upward without evase stack tip or rain caps (i.e., unobstructed release). OM is a design velocity.3Elevation is assigned by AERMAP (Version 11103) using NED 1/3 Arc second resolution elevation data from USGS’s Seamless Data Server.4Lead 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 are set at 8.82 x 10-4g/s.9OM 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 Analysis1Reserved.2Easting and Northing Coordinates for Point Sources are in UTM Zone 14, NAD83 Datum.5The 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 recent compliance tests. All testshave been accepted by KDHE.Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7BALLFUG8BALLFUG Fugitive emissions from Ball Mill 620986.66 4292721.52 381.00 4.86E-05 7.16 7.32 6.66METLCAST METLCAST Fugitive emissions from MetlCast 620943.71 4293093.27 380.50 2.07E-04 7.32 12.04 3.40L0071211 DELRD1 Delivery road segment 1 621172.31 4292463.59 381.10 2.18E-06 2.55 5.58 2.37L0071212 DELRD1 Delivery road segment 1 621160.31 4292463.67 381.10 2.18E-06 2.55 5.58 2.37L0071213 DELRD1 Delivery road segment 1 621148.31 4292463.74 381.10 2.18E-06 2.55 5.58 2.37L0071214 DELRD1 Delivery road segment 1 621136.31 4292463.82 381.10 2.18E-06 2.55 5.58 2.37L0071215 DELRD1 Delivery road segment 1 621124.31 4292463.90 381.10 2.18E-06 2.55 5.58 2.37L0071216 DELRD1 Delivery road segment 1 621112.31 4292463.97 381.10 2.18E-06 2.55 5.58 2.37L0071217 DELRD1 Delivery road segment 1 621100.31 4292464.05 381.10 2.18E-06 2.55 5.58 2.37L0071218 DELRD1 Delivery road segment 1 621088.31 4292464.13 381.10 2.18E-06 2.55 5.58 2.37L0071219 DELRD1 Delivery road segment 1 621076.31 4292464.20 381.10 2.18E-06 2.55 5.58 2.37L0071220 DELRD1 Delivery road segment 1 621064.31 4292464.28 381.10 2.18E-06 2.55 5.58 2.37L0071221 DELRD1 Delivery road segment 1 621052.31 4292464.36 381.10 2.18E-06 2.55 5.58 2.37L0071222 DELRD1 Delivery road segment 1 621040.31 4292464.43 381.10 2.18E-06 2.55 5.58 2.37L0071223 DELRD1 Delivery road segment 1 621028.31 4292464.51 381.10 2.18E-06 2.55 5.58 2.37L0071224 DELRD1 Delivery road segment 1 621016.31 4292464.59 381.10 2.18E-06 2.55 5.58 2.37L0071225 DELRD1 Delivery road segment 1 621004.31 4292464.67 381.10 2.18E-06 2.55 5.58 2.37L0071226 DELRD1 Delivery road segment 1 620992.31 4292464.74 381.10 2.18E-06 2.55 5.58 2.37L0071227 DELRD1 Delivery road segment 1 620980.31 4292464.82 381.10 2.18E-06 2.55 5.58 2.37L0071228 DELRD1 Delivery road segment 1 620968.31 4292464.90 381.10 2.18E-06 2.55 5.58 2.37L0071229 DELRD1 Delivery road segment 1 620956.32 4292464.97 381.10 2.18E-06 2.55 5.58 2.37L0071230 DELRD1 Delivery road segment 1 620944.32 4292465.05 381.10 2.18E-06 2.55 5.58 2.37L0071231 DELRD1 Delivery road segment 1 620932.32 4292465.13 381.10 2.18E-06 2.55 5.58 2.37L0071232 DELRD1 Delivery road segment 1 620920.32 4292465.20 381.10 2.18E-06 2.55 5.58 2.37L0071233 DELRD1 Delivery road segment 1 620908.32 4292465.28 381.10 2.18E-06 2.55 5.58 2.37L0071234 DELRD1 Delivery road segment 1 620896.32 4292465.36 381.10 2.18E-06 2.55 5.58 2.37L0071009 SHPRD1 Shipping road segment 1 620882.27 4292468.75 381.10 2.25E-06 2.55 4.19 2.37L0071010 SHPRD1 Shipping road segment 1 620885.50 4292477.15 381.10 2.25E-06 2.55 4.19 2.37L0071011 SHPRD1 Shipping road segment 1 620888.73 4292485.55 381.10 2.25E-06 2.55 4.19 2.37L0071012 SHPRD1 Shipping road segment 1 620896.51 4292487.25 381.10 2.25E-06 2.55 4.19 2.37L0071013 SHPRD1 Shipping road segment 1 620905.51 4292487.16 381.10 2.25E-06 2.55 4.19 2.37L0071014 SHPRD1 Shipping road segment 1 620914.51 4292487.07 381.10 2.25E-06 2.55 4.19 2.37Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisAir Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071015 SHPRD1 Shipping road segment 1 620923.51 4292486.98 381.10 2.25E-06 2.55 4.19 2.37L0071016 SHPRD1 Shipping road segment 1 620932.51 4292486.89 381.10 2.25E-06 2.55 4.19 2.37L0071017 SHPRD1 Shipping road segment 1 620941.51 4292486.80 381.10 2.25E-06 2.55 4.19 2.37L0071018 SHPRD1 Shipping road segment 1 620950.51 4292486.71 381.10 2.25E-06 2.55 4.19 2.37L0071019 SHPRD1 Shipping road segment 1 620959.51 4292486.62 381.10 2.25E-06 2.55 4.19 2.37L0071020 SHPRD1 Shipping road segment 1 620968.13 4292485.75 381.10 2.25E-06 2.55 4.19 2.37L0071021 SHPRD1 Shipping road segment 1 620973.85 4292478.79 381.10 2.25E-06 2.55 4.19 2.37L0071022 SHPRD1 Shipping road segment 1 620979.56 4292471.84 381.10 2.25E-06 2.55 4.19 2.37L0071023 SHPRD2 Shipping road segment 2 620986.19 4292464.49 381.10 3.00E-06 2.55 5.58 2.37L0071024 SHPRD2 Shipping road segment 2 620998.19 4292464.38 381.10 3.00E-06 2.55 5.58 2.37L0071025 SHPRD2 Shipping road segment 2 621010.19 4292464.26 381.10 3.00E-06 2.55 5.58 2.37L0071026 SHPRD2 Shipping road segment 2 621022.19 4292464.15 381.10 3.00E-06 2.55 5.58 2.37L0071027 SHPRD2 Shipping road segment 2 621034.19 4292464.03 381.10 3.00E-06 2.55 5.58 2.37L0071028 SHPRD2 Shipping road segment 2 621046.19 4292463.92 381.10 3.00E-06 2.55 5.58 2.37L0071029 SHPRD2 Shipping road segment 2 621058.19 4292463.80 381.10 3.00E-06 2.55 5.58 2.37L0071030 SHPRD2 Shipping road segment 2 621070.19 4292463.69 381.10 3.00E-06 2.55 5.58 2.37L0071031 SHPRD2 Shipping road segment 2 621082.19 4292463.57 381.10 3.00E-06 2.55 5.58 2.37L0071032 SHPRD2 Shipping road segment 2 621094.19 4292463.46 381.20 3.00E-06 2.55 5.58 2.37L0071033 SHPRD2 Shipping road segment 2 621106.18 4292463.34 381.20 3.00E-06 2.55 5.58 2.37L0071034 SHPRD2 Shipping road segment 2 621118.18 4292463.22 381.20 3.00E-06 2.55 5.58 2.37L0071035 SHPRD2 Shipping road segment 2 621130.18 4292463.11 381.20 3.00E-06 2.55 5.58 2.37L0071036 SHPRD2 Shipping road segment 2 621142.18 4292462.99 381.10 3.00E-06 2.55 5.58 2.37L0071037 SHPRD2 Shipping road segment 2 621154.18 4292462.88 381.10 3.00E-06 2.55 5.58 2.37L0071038 SHPRD2 Shipping road segment 2 621166.18 4292462.76 381.10 3.00E-06 2.55 5.58 2.37L0071039 SHPRD4 Shipping road segment 4 621172.31 4292463.59 381.10 3.00E-06 2.55 5.58 2.37L0071040 SHPRD4 Shipping road segment 4 621160.31 4292463.67 381.10 3.00E-06 2.55 5.58 2.37L0071041 SHPRD4 Shipping road segment 4 621148.31 4292463.74 381.10 3.00E-06 2.55 5.58 2.37L0071042 SHPRD4 Shipping road segment 4 621136.31 4292463.82 381.20 3.00E-06 2.55 5.58 2.37L0071043 SHPRD4 Shipping road segment 4 621124.31 4292463.90 381.20 3.00E-06 2.55 5.58 2.37L0071044 SHPRD4 Shipping road segment 4 621112.31 4292463.97 381.20 3.00E-06 2.55 5.58 2.37L0071045 SHPRD4 Shipping road segment 4 621100.31 4292464.05 381.20 3.00E-06 2.55 5.58 2.37L0071046 SHPRD4 Shipping road segment 4 621088.31 4292464.13 381.10 3.00E-06 2.55 5.58 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071047 SHPRD4 Shipping road segment 4 621076.31 4292464.20 381.10 3.00E-06 2.55 5.58 2.37L0071048 SHPRD4 Shipping road segment 4 621064.31 4292464.28 381.10 3.00E-06 2.55 5.58 2.37L0071049 SHPRD4 Shipping road segment 4 621052.31 4292464.36 381.10 3.00E-06 2.55 5.58 2.37L0071050 SHPRD4 Shipping road segment 4 621040.31 4292464.43 381.10 3.00E-06 2.55 5.58 2.37L0071051 SHPRD4 Shipping road segment 4 621028.31 4292464.51 381.10 3.00E-06 2.55 5.58 2.37L0071052 SHPRD4 Shipping road segment 4 621016.31 4292464.59 381.10 3.00E-06 2.55 5.58 2.37L0071053 SHPRD4 Shipping road segment 4 621004.31 4292464.67 381.10 3.00E-06 2.55 5.58 2.37L0071054 SHPRD4 Shipping road segment 4 620992.31 4292464.74 381.10 3.00E-06 2.55 5.58 2.37L0071055 SHPRD4 Shipping road segment 4 620980.31 4292464.82 381.10 3.00E-06 2.55 5.58 2.37L0071056 SHPRD4 Shipping road segment 4 620968.31 4292464.90 381.10 3.00E-06 2.55 5.58 2.37L0071057 SHPRD4 Shipping road segment 4 620956.32 4292464.97 381.10 3.00E-06 2.55 5.58 2.37L0071058 SHPRD4 Shipping road segment 4 620944.32 4292465.05 381.10 3.00E-06 2.55 5.58 2.37L0071059 SHPRD4 Shipping road segment 4 620932.32 4292465.13 381.10 3.00E-06 2.55 5.58 2.37L0071060 SHPRD4 Shipping road segment 4 620920.32 4292465.20 381.10 3.00E-06 2.55 5.58 2.37L0071061 SHPRD4 Shipping road segment 4 620908.32 4292465.28 381.10 3.00E-06 2.55 5.58 2.37L0071062 SHPRD4 Shipping road segment 4 620896.32 4292465.36 381.10 3.00E-06 2.55 5.58 2.37L0071063 SHPRD3 Shipping road segment 3 621172.28 4292465.29 381.10 2.25E-06 2.55 4.19 2.37L0071064 SHPRD3 Shipping road segment 3 621179.70 4292470.38 381.10 2.25E-06 2.55 4.19 2.37L0071065 SHPRD3 Shipping road segment 3 621187.12 4292475.48 381.10 2.25E-06 2.55 4.19 2.37L0071066 SHPRD3 Shipping road segment 3 621190.25 4292483.58 381.10 2.25E-06 2.55 4.19 2.37L0071067 SHPRD3 Shipping road segment 3 621192.50 4292492.29 381.10 2.25E-06 2.55 4.19 2.37L0071068 SHPRD3 Shipping road segment 3 621193.80 4292501.11 381.10 2.25E-06 2.55 4.19 2.37L0071069 SHPRD3 Shipping road segment 3 621193.53 4292510.11 381.10 2.25E-06 2.55 4.19 2.37L0071070 SHPRD3 Shipping road segment 3 621193.27 4292519.11 381.00 2.25E-06 2.55 4.19 2.37L0071071 SHPRD3 Shipping road segment 3 621193.00 4292528.10 381.00 2.25E-06 2.55 4.19 2.37L0071072 SHPRD3 Shipping road segment 3 621196.15 4292536.53 381.00 2.25E-06 2.55 4.19 2.37L0071073 SHPRD3 Shipping road segment 3 621199.32 4292544.95 381.00 2.25E-06 2.55 4.19 2.37L0071074 SHPRD3 Shipping road segment 3 621203.23 4292552.18 381.00 2.25E-06 2.55 4.19 2.37L0071075 SHPRD3 Shipping road segment 3 621212.18 4292551.19 381.00 2.25E-06 2.55 4.19 2.37L0071076 SHPRD3 Shipping road segment 3 621221.13 4292550.20 381.00 2.25E-06 2.55 4.19 2.37L0071077 SHPRD3 Shipping road segment 3 621225.46 4292543.26 381.00 2.25E-06 2.55 4.19 2.37L0071078 SHPRD3 Shipping road segment 3 621228.65 4292534.84 381.00 2.25E-06 2.55 4.19 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071079 SHPRD3 Shipping road segment 3 621231.85 4292526.43 381.00 2.25E-06 2.55 4.19 2.37L0071080 SHPRD3 Shipping road segment 3 621233.46 4292517.75 381.00 2.25E-06 2.55 4.19 2.37L0071081 SHPRD3 Shipping road segment 3 621233.13 4292508.76 381.00 2.25E-06 2.55 4.19 2.37L0071082 SHPRD3 Shipping road segment 3 621232.79 4292499.77 381.00 2.25E-06 2.55 4.19 2.37L0071083 SHPRD3 Shipping road segment 3 621232.46 4292490.77 381.00 2.25E-06 2.55 4.19 2.37L0071084 SHPRD3 Shipping road segment 3 621232.12 4292481.78 381.00 2.25E-06 2.55 4.19 2.37L0071085 SHPRD3 Shipping road segment 3 621227.63 4292474.97 380.90 2.25E-06 2.55 4.19 2.37L0071086 SHPRD3 Shipping road segment 3 621220.41 4292469.60 381.00 2.25E-06 2.55 4.19 2.37L0071087 SHPRD3 Shipping road segment 3 621213.19 4292464.22 381.00 2.25E-06 2.55 4.19 2.37L0071088 SHPRD3 Shipping road segment 3 621204.47 4292463.42 381.10 2.25E-06 2.55 4.19 2.37L0071089 SHPRD3 Shipping road segment 3 621195.47 4292463.46 381.10 2.25E-06 2.55 4.19 2.37L0071090 SHPRD3 Shipping road segment 3 621186.47 4292463.51 381.10 2.25E-06 2.55 4.19 2.37L0071091 DELRD2 Delivery road segment 2 620882.68 4292478.62 381.10 1.63E-06 2.55 4.19 2.37L0071092 DELRD2 Delivery road segment 2 620887.43 4292486.27 381.10 1.63E-06 2.55 4.19 2.37L0071093 DELRD2 Delivery road segment 2 620895.06 4292489.11 381.10 1.63E-06 2.55 4.19 2.37L0071094 DELRD2 Delivery road segment 2 620904.04 4292489.70 381.10 1.63E-06 2.55 4.19 2.37L0071095 DELRD2 Delivery road segment 2 620913.02 4292490.29 381.10 1.63E-06 2.55 4.19 2.37L0071096 DELRD2 Delivery road segment 2 620922.00 4292490.88 381.10 1.63E-06 2.55 4.19 2.37L0071097 DELRD2 Delivery road segment 2 620930.99 4292491.47 381.10 1.63E-06 2.55 4.19 2.37L0071098 DELRD2 Delivery road segment 2 620939.97 4292492.06 381.10 1.63E-06 2.55 4.19 2.37L0071099 DELRD2 Delivery road segment 2 620948.95 4292492.65 381.10 1.63E-06 2.55 4.19 2.37L0071100 DELRD2 Delivery road segment 2 620957.93 4292493.24 381.10 1.63E-06 2.55 4.19 2.37L0071101 DELRD2 Delivery road segment 2 620966.91 4292493.83 381.10 1.63E-06 2.55 4.19 2.37L0071102 DELRD2 Delivery road segment 2 620975.89 4292494.42 381.10 1.63E-06 2.55 4.19 2.37L0071103 DELRD2 Delivery road segment 2 620976.98 4292503.33 381.10 1.63E-06 2.55 4.19 2.37L0071104 DELRD2 Delivery road segment 2 620978.05 4292512.26 381.10 1.63E-06 2.55 4.19 2.37L0071105 DELRD2 Delivery road segment 2 620979.12 4292521.20 381.10 1.63E-06 2.55 4.19 2.37L0071106 DELRD2 Delivery road segment 2 620980.18 4292530.14 381.10 1.63E-06 2.55 4.19 2.37L0071107 DELRD2 Delivery road segment 2 620981.25 4292539.07 381.10 1.63E-06 2.55 4.19 2.37L0071108 DELRD2 Delivery road segment 2 620982.31 4292548.01 381.10 1.63E-06 2.55 4.19 2.37L0071109 DELRD2 Delivery road segment 2 620983.38 4292556.95 381.10 1.63E-06 2.55 4.19 2.37L0071110 DELRD2 Delivery road segment 2 620979.81 4292563.13 381.10 1.63E-06 2.55 4.19 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071111 DELRD2 Delivery road segment 2 620971.46 4292566.49 381.10 1.63E-06 2.55 4.19 2.37L0071112 DELRD2 Delivery road segment 2 620963.11 4292569.85 381.00 1.63E-06 2.55 4.19 2.37L0071113 DELRD2 Delivery road segment 2 620954.76 4292573.20 381.00 1.63E-06 2.55 4.19 2.37L0071114 DELRD2 Delivery road segment 2 620946.41 4292576.56 381.00 1.63E-06 2.55 4.19 2.37L0071115 DELRD2 Delivery road segment 2 620938.05 4292579.92 381.00 1.63E-06 2.55 4.19 2.37L0071116 DELRD2 Delivery road segment 2 620929.70 4292583.27 381.00 1.63E-06 2.55 4.19 2.37L0071117 DELRD2 Delivery road segment 2 620921.95 4292587.69 381.00 1.63E-06 2.55 4.19 2.37L0071118 DELRD2 Delivery road segment 2 620914.76 4292593.10 381.00 1.63E-06 2.55 4.19 2.37L0071119 DELRD2 Delivery road segment 2 620913.57 4292601.48 380.90 1.63E-06 2.55 4.19 2.37L0071120 DELRD2 Delivery road segment 2 620913.64 4292610.48 380.90 1.63E-06 2.55 4.19 2.37L0071121 DELRD2 Delivery road segment 2 620913.71 4292619.48 380.90 1.63E-06 2.55 4.19 2.37L0071122 DELRD2 Delivery road segment 2 620913.77 4292628.48 380.90 1.63E-06 2.55 4.19 2.37L0071123 DELRD2 Delivery road segment 2 620913.84 4292637.48 380.90 1.63E-06 2.55 4.19 2.37L0071124 DELRD2 Delivery road segment 2 620913.91 4292646.48 380.90 1.63E-06 2.55 4.19 2.37L0071125 DELRD2 Delivery road segment 2 620913.98 4292655.48 380.90 1.63E-06 2.55 4.19 2.37L0071126 DELRD2 Delivery road segment 2 620914.05 4292664.48 380.90 1.63E-06 2.55 4.19 2.37L0071127 DELRD2 Delivery road segment 2 620914.12 4292673.48 380.90 1.63E-06 2.55 4.19 2.37L0071128 DELRD2 Delivery road segment 2 620914.19 4292682.48 380.90 1.63E-06 2.55 4.19 2.37L0071129 DELRD2 Delivery road segment 2 620914.26 4292691.48 380.90 1.63E-06 2.55 4.19 2.37L0071130 DELRD2 Delivery road segment 2 620914.60 4292700.46 380.90 1.63E-06 2.55 4.19 2.37L0071131 DELRD2 Delivery road segment 2 620915.39 4292709.43 380.90 1.63E-06 2.55 4.19 2.37L0071132 DELRD2 Delivery road segment 2 620916.18 4292718.39 380.90 1.63E-06 2.55 4.19 2.37L0071133 DELRD2 Delivery road segment 2 620916.98 4292727.36 380.90 1.63E-06 2.55 4.19 2.37L0071134 DELRD2 Delivery road segment 2 620920.11 4292734.68 380.90 1.63E-06 2.55 4.19 2.37L0071135 DELRD2 Delivery road segment 2 620928.28 4292738.46 380.90 1.63E-06 2.55 4.19 2.37L0071136 DELRD2 Delivery road segment 2 620936.45 4292742.23 380.90 1.63E-06 2.55 4.19 2.37L0071137 DELRD2 Delivery road segment 2 620944.62 4292746.01 380.90 1.63E-06 2.55 4.19 2.37L0071138 DELRD2 Delivery road segment 2 620952.78 4292749.79 380.90 1.63E-06 2.55 4.19 2.37L0071139 DELRD2 Delivery road segment 2 620960.95 4292753.57 380.90 1.63E-06 2.55 4.19 2.37L0071140 DELRD2 Delivery road segment 2 620969.90 4292753.77 380.90 1.63E-06 2.55 4.19 2.37L0071141 DELRD2 Delivery road segment 2 620978.90 4292753.75 380.90 1.63E-06 2.55 4.19 2.37L0071142 DELRD2 Delivery road segment 2 620987.90 4292753.73 380.90 1.63E-06 2.55 4.19 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071143 DELRD2 Delivery road segment 2 620996.90 4292753.71 380.90 1.63E-06 2.55 4.19 2.37L0071144 DELRD2 Delivery road segment 2 621005.90 4292753.68 380.90 1.63E-06 2.55 4.19 2.37L0071145 DELRD2 Delivery road segment 2 621014.90 4292753.66 380.90 1.63E-06 2.55 4.19 2.37L0071146 DELRD2 Delivery road segment 2 621023.90 4292753.64 380.90 1.63E-06 2.55 4.19 2.37L0071147 DELRD2 Delivery road segment 2 621032.90 4292753.62 380.90 1.63E-06 2.55 4.19 2.37L0071148 DELRD2 Delivery road segment 2 621041.90 4292753.60 380.90 1.63E-06 2.55 4.19 2.37L0071149 DELRD2 Delivery road segment 2 621050.90 4292753.58 380.90 1.63E-06 2.55 4.19 2.37L0071150 DELRD2 Delivery road segment 2 621059.90 4292753.55 380.90 1.63E-06 2.55 4.19 2.37L0071151 DELRD2 Delivery road segment 2 621068.90 4292753.53 380.90 1.63E-06 2.55 4.19 2.37L0071152 DELRD2 Delivery road segment 2 621077.90 4292753.51 380.90 1.63E-06 2.55 4.19 2.37L0071153 DELRD2 Delivery road segment 2 621086.90 4292753.49 380.90 1.63E-06 2.55 4.19 2.37L0071154 DELRD2 Delivery road segment 2 621095.90 4292753.47 380.90 1.63E-06 2.55 4.19 2.37L0071155 DELRD2 Delivery road segment 2 621104.90 4292753.45 380.90 1.63E-06 2.55 4.19 2.37L0071156 DELRD2 Delivery road segment 2 621113.90 4292753.43 380.90 1.63E-06 2.55 4.19 2.37L0071157 DELRD2 Delivery road segment 2 621122.90 4292753.40 380.90 1.63E-06 2.55 4.19 2.37L0071158 DELRD2 Delivery road segment 2 621131.90 4292753.38 380.90 1.63E-06 2.55 4.19 2.37L0071159 DELRD2 Delivery road segment 2 621140.90 4292753.36 380.90 1.63E-06 2.55 4.19 2.37L0071160 DELRD2 Delivery road segment 2 621149.90 4292753.34 380.90 1.63E-06 2.55 4.19 2.37L0071161 DELRD2 Delivery road segment 2 621158.90 4292753.32 380.90 1.63E-06 2.55 4.19 2.37L0071162 DELRD2 Delivery road segment 2 621167.90 4292753.30 380.90 1.63E-06 2.55 4.19 2.37L0071163 DELRD2 Delivery road segment 2 621176.90 4292753.28 380.90 1.63E-06 2.55 4.19 2.37L0071164 DELRD2 Delivery road segment 2 621185.90 4292753.25 380.90 1.63E-06 2.55 4.19 2.37L0071165 DELRD2 Delivery road segment 2 621194.90 4292753.23 380.90 1.63E-06 2.55 4.19 2.37L0071166 DELRD2 Delivery road segment 2 621203.90 4292753.21 380.90 1.63E-06 2.55 4.19 2.37L0071167 DELRD2 Delivery road segment 2 621212.90 4292753.19 380.90 1.63E-06 2.55 4.19 2.37L0071168 DELRD2 Delivery road segment 2 621221.90 4292753.17 380.90 1.63E-06 2.55 4.19 2.37L0071169 DELRD2 Delivery road segment 2 621230.90 4292753.15 380.90 1.63E-06 2.55 4.19 2.37L0071170 DELRD2 Delivery road segment 2 621239.90 4292753.12 381.00 1.63E-06 2.55 4.19 2.37L0071171 DELRD2 Delivery road segment 2 621248.90 4292753.10 381.00 1.63E-06 2.55 4.19 2.37L0071172 DELRD2 Delivery road segment 2 621255.62 4292749.56 380.90 1.63E-06 2.55 4.19 2.37L0071173 DELRD2 Delivery road segment 2 621259.29 4292741.35 380.90 1.63E-06 2.55 4.19 2.37L0071174 DELRD2 Delivery road segment 2 621262.96 4292733.13 380.90 1.63E-06 2.55 4.19 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071175 DELRD2 Delivery road segment 2 621266.64 4292724.91 380.90 1.63E-06 2.55 4.19 2.37L0071176 DELRD2 Delivery road segment 2 621270.31 4292716.70 380.90 1.63E-06 2.55 4.19 2.37L0071177 DELRD2 Delivery road segment 2 621269.12 4292708.09 380.90 1.63E-06 2.55 4.19 2.37L0071178 DELRD2 Delivery road segment 2 621266.80 4292699.40 380.90 1.63E-06 2.55 4.19 2.37L0071179 DELRD2 Delivery road segment 2 621264.48 4292690.70 380.90 1.63E-06 2.55 4.19 2.37L0071180 DELRD2 Delivery road segment 2 621261.87 4292682.12 380.90 1.63E-06 2.55 4.19 2.37L0071181 DELRD2 Delivery road segment 2 621257.45 4292674.28 380.90 1.63E-06 2.55 4.19 2.37L0071182 DELRD2 Delivery road segment 2 621253.03 4292666.45 380.90 1.63E-06 2.55 4.19 2.37L0071183 DELRD2 Delivery road segment 2 621248.60 4292658.61 380.90 1.63E-06 2.55 4.19 2.37L0071184 DELRD2 Delivery road segment 2 621244.18 4292650.77 380.90 1.63E-06 2.55 4.19 2.37L0071185 DELRD2 Delivery road segment 2 621239.75 4292642.93 380.90 1.63E-06 2.55 4.19 2.37L0071186 DELRD2 Delivery road segment 2 621236.26 4292634.84 380.90 1.63E-06 2.55 4.19 2.37L0071187 DELRD2 Delivery road segment 2 621236.04 4292625.84 380.90 1.63E-06 2.55 4.19 2.37L0071188 DELRD2 Delivery road segment 2 621235.82 4292616.84 380.90 1.63E-06 2.55 4.19 2.37L0071189 DELRD2 Delivery road segment 2 621235.59 4292607.85 380.90 1.63E-06 2.55 4.19 2.37L0071190 DELRD2 Delivery road segment 2 621235.37 4292598.85 380.90 1.63E-06 2.55 4.19 2.37L0071191 DELRD2 Delivery road segment 2 621235.15 4292589.85 380.90 1.63E-06 2.55 4.19 2.37L0071192 DELRD2 Delivery road segment 2 621234.93 4292580.85 380.90 1.63E-06 2.55 4.19 2.37L0071193 DELRD2 Delivery road segment 2 621234.70 4292571.86 380.90 1.63E-06 2.55 4.19 2.37L0071194 DELRD2 Delivery road segment 2 621234.48 4292562.86 380.90 1.63E-06 2.55 4.19 2.37L0071195 DELRD2 Delivery road segment 2 621234.26 4292553.86 380.90 1.63E-06 2.55 4.19 2.37L0071196 DELRD2 Delivery road segment 2 621234.04 4292544.87 381.00 1.63E-06 2.55 4.19 2.37L0071197 DELRD2 Delivery road segment 2 621233.81 4292535.87 381.00 1.63E-06 2.55 4.19 2.37L0071198 DELRD2 Delivery road segment 2 621233.64 4292526.87 381.00 1.63E-06 2.55 4.19 2.37L0071199 DELRD2 Delivery road segment 2 621233.48 4292517.87 380.90 1.63E-06 2.55 4.19 2.37L0071200 DELRD2 Delivery road segment 2 621233.32 4292508.87 380.90 1.63E-06 2.55 4.19 2.37L0071201 DELRD2 Delivery road segment 2 621233.17 4292499.87 380.90 1.63E-06 2.55 4.19 2.37L0071202 DELRD2 Delivery road segment 2 621233.01 4292490.88 380.90 1.63E-06 2.55 4.19 2.37L0071203 DELRD2 Delivery road segment 2 621232.85 4292481.88 380.90 1.63E-06 2.55 4.19 2.37L0071204 DELRD2 Delivery road segment 2 621232.12 4292473.19 380.90 1.63E-06 2.55 4.19 2.37L0071205 DELRD2 Delivery road segment 2 621224.65 4292468.17 381.00 1.63E-06 2.55 4.19 2.37L0071206 DELRD2 Delivery road segment 2 621217.13 4292463.30 381.10 1.63E-06 2.55 4.19 2.37Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAERMODSource ID1AERMODSourceGroup IDDescription Easting(meters)2Northing(meters)2Elevation(meters)3LeadEmissionRate (gram /second)4ReleaseHeight(meters)5Initial LateralDimension(meters)6Initial VerticalDimension(meters)7Table 1-1B: Lead Emitting Volume Sources Included in Dispersion Modeling AnalysisL0071207 DELRD2 Delivery road segment 2 621208.13 4292463.36 381.10 1.63E-06 2.55 4.19 2.37L0071208 DELRD2 Delivery road segment 2 621199.13 4292463.42 381.10 1.63E-06 2.55 4.19 2.37L0071209 DELRD2 Delivery road segment 2 621190.13 4292463.47 381.10 1.63E-06 2.55 4.19 2.37L0071210 DELRD2 Delivery road segment 2 621181.13 4292463.53 381.10 1.63E-06 2.55 4.19 2.37Notes:8The emission rate for BALLFUG has been reduced by 99% due to fugitive emission control measures.7The 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 2012.1Reserved.2Easting and Northing Coordinates for Volume Sources are in UTM Zone 14, NAD83 Datum.3Elevation is assigned by AERMAP (Version 11103) using NED 1/3 Arc Second resolution elevation data from USGS’s Seamless Data Server.4Lead Emission Rate for road traffic fugitive sources is determined using equations in AP-42, Paved Roads. Silt and lead content were measured in January 2012 atExide's Salina facility.5The 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 the vehicle (3 meters)6Initial Lateral Dimension for road fugitives (Line Source Represented by Separated Volume Sources) is calculated from the roadway width plus 6 meters divided by2.15 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 Location Map: Wide View 

# .

Date: 2/20/2013

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t 

# ! . ! .

! .

S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 1

- 2 D r a w n B y : W M L 

# L e g e n d

N o n

- A t t a i n m e n t A r e a

M e t l c a s t B u i l d i n g

P r o p e r t y B o u n d a r y


# ! . D i s c r e t e R e c e p t o r s

0 0

. 5 0

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# S i t e a n d N o n a t t a i n m e n t A r e a

L o c a t i o n M a p : C l o s e V i e w 

# .

D a t e : 2 / 2 0 / 2 0 1 3 S c h i l l i n g E l e m e n t a r y S c h o o l C o r o n a d o E l e m e n t a r y S c h o o l

K D H E A m b i e n t

L e a d M o n i t o r

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t 

# k j k j k j k j k j k j k j k j k j

k j k j

S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 1 a D r a w n B y : W M L 

# L e g e n d



# k j P o i n t S o u r c e s

E x i d e P r o p e r t y B o u n d a r y

0 8 0 4 0 M e t e r s 

# L o c a t i o n o f P o i n t S o u r c e s 

# .

D a t e : 6 / 1 9 / 2 0 1 3 B H 3 B H 2

B H 1 B H 4 O M

B H 5 B H 1 5

B H 1 4

B H 1 3

B H 1 2 B H 1 1

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 1 b D r a w n B y : W M L 

# L e g e n d

M E T L C A S T V o l u m e S o u r c e

B A L L F U G V o l u m e S o u r c e

M e t l c a s t B u i l d i n g

P r o p e r t y B o u n d a r y

0 1 1 0 5 5 M e t e r s 

# L o c a t i o n o f V o l u m e S o u r c e s 

# .

D a t e : 2 / 2 0 / 2 0 1 3

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 1 c D r a w n B y : W M L 

# L e g e n d

D e l i v e r y R o a d S e g m e n t 1

D e l i v e r y R o a d S e g m e n t 2

P a v e d R o a d S i l t S a m p l e L o c a t i o n

P r o p e r t y B o u n d a r y

0 8 0 4 0 M e t e r s 

# L o c a t i o n o f V o l u m e S o u r c e s : D e l i v e r y R o u t e 

# .

D a t e : 2 / 2 0 / 2 0 1 3

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 1 d D r a w n B y : W M L 

# L e g e n d

S h i p p i n g R o a d S e g m e n t 1

S h i p p i n g R o a d S e g m e n t 2

S h i p p i n g R o a d S e g m e n t 3

S h i p p i n g R o a d S e g m e n t 4

P a v e d R o a d S i l t S a m p l e L o c a t i o n

P r o p e r t y B o u n d a r y

0 8 0 4 0 M e t e r s 

# L o c a t i o n o f V o l u m e S o u r c e s : S h i p p i n g R o u t e 

# .

D a t e : 2 / 2 0 / 2 0 1 3

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

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, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 1 e D r a w n B y : W M L 

# L e g e n d

M e t l c a s t B u i l d i n g

P r o p e r t y B o u n d a r y

0 1 1 0 5 5 M e t e r s 

# L o c a t i o n o f B u i l d i n g s

a n d P r o p e r t y L i n e 

# .

D a t e : 6 / 1 9 / 2 0 1 3 M e t l c a s t H e i g h t 6

. 1 0 m

O x i d e M i l l H e i g h t : 1 1

. 8 9 m B H 2 F a b r i c F i l t e r H o u s i n g H e i g h t : 1 1

. 0 7 m

C o v e r e d S h e d H e i g h t : 6

. 1 0 m

W e s t D C H e i g h t : 1 0

. 6 7 m B H 5 F a b r i c F i l t e r H o u s i n g H e i g h t : 9

. 7 5 m

B r e a k R o o m H e i g h t : 8

. 2 3 m

O f f i c e s a n d Q C L a b H e i g h t : 4

. 5 7 m M a i n P l a n t H e i g h t : 7

. 6 2 m E a s t D C H e i g h t : 9

. 1 4 m A c i d F a r m H e i g h t : 7

. 3 2 m B a l l M i l l H e i g h t 1 4

. 3 3 m B H 1 F a b r i c F i l t e r H o u s i n g H e i g h t : 9

. 7 3 m

B H 4 F a b r i c F i l t e r H o u s i n g H e i g h t : 8

. 2 3 m B H 3 F a b r i c F i l t e r H o u s i n g H e i g h t 1 1

. 0 7 m

M a i n S t o r a g e H e i g h t : 6

. 1 0 mDRAWN BY: HMN DATE: 3/18/11 

## Figure 2-2 Elevation Data Domain Imported into AERMAP Exide Technologies Salina, Kansas Battery Plant 

# .

0 10 5 Km 

## Legend

Exide Technologies Battery PlantWRPLOT 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)

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 4 D r a w n B y : W M L 

## L e g e n d

1 k m b u f f e r

1 0 k m b u f f e r

O p e n W a t e r

L o w I n t e n s i t y R e s i d e n t i a l

H i g h I n t e n s i t y R e s i d e n t i a l C o m m e r c i a l / I n d u s t r i a l / T r a n s p o r t a t i o n

B a r e R o c k / S a n d / C l a y
Q u a r r i e s / S t r i p M i n e s / G r a v e l P i t s

T r a n s i t i o n a l

D e c i d u o u s F o r e s t M i x e d F o r e s t

S h r u b l a n d

G r a s s l a n d / H e r b a c e o u s

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F a l l o w

U r b a n / R e c r e a t i o n a l G r a s s e s

W o o d y W e t l a n d s

E m e r g e n t H e r b a c e o u s W e t l a n d s



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, 0 0 0 1

, 0 0 0 M e t e r s 

# L a n d C o v e r D e p i c t i o n A r o u n d S a l i n a M u n i c i p a l A i r p o r t 

# .

D a t e : 5 / 3 / 2 0 1 3

### E x i d e T e c h n o l o g i e s S a l i n a , K a n s a s B a t t e r y P l a n t S o u r c e : E s r i

, i

- c u b e d

, U S D A

, U S G S

, A E X

, G e o E y e , G e t m a p p i n g , A e r o g r i d

, I G N

, I G P

, a n d t h e G I S U s e r C o m m u n i t y , C o p y r i g h t : © 2 0 1 2 E s r i

, D e L o r m e , N A V T E Q

, T o m T o m



# F i g u r e 2

- 5 D r a w n B y : W M L 

## L e g e n d

1 k m b u f f e r

1 0 k m b u f f e r

O p e n W a t e r

L o w I n t e n s i t y R e s i d e n t i a l

H i g h I n t e n s i t y R e s i d e n t i a l

C o m m e r c i a l / I n d u s t r i a l / T r a n s p o r t a t i o n B a r e R o c k / S a n d / C l a y
Q u a r r i e s / S t r i p M i n e s / G r a v e l P i t s

T r a n s i t i o n a l

D e c i d u o u s F o r e s t

E v e r g r e e n F o r e s t

M i x e d F o r e s t S h r u b l a n d

G r a s s l a n d / H e r b a c e o u s

P a s t u r e / H a y

R o w C r o p s

S m a l l G r a i n s

F a l l o w U r b a n / R e c r e a t i o n a l G r a s s e s

W o o d y W e t l a n d s

E m e r g e n t H e r b a c e o u s W e t l a n d s



### 0 2

, 0 0 0 1

, 0 0 0 M e t e r s 

# L a n d C o v e r D e p i c t i o n A r o u n d E x i d e B a t t e r y P l a n t 

# .

D a t e : 5 / 3 / 2 0 1 3

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### Air Quality Dispersion Modeling Report SIP Attainment Demonstration



# Attachment 1Air Quality Dispersion Modeling ReportSIP Attainment DemonstrationAttachment 1: Fugitive Traffic Emission EstimatesThe USEPA's Paved Roads section from AP-42 was used to estimate fugitive traffic emissions.Paved RoadsConstantValue Unitsgrams / pound 453.6AP-42 Section 13.2.1sq meter / sq foot 0.093milligram / kilogram 0.000001E = (k(sL)0.91x (W1.02)) x (1 - P / 4N)pounds / ton 2000yards / meter 1.09where: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 lb/VMTP 80 rainy days/yrN 365 days/yrsL exponent 0.91W exponent 1.02W (DELIVERIES) 26.3 tons/truckW (SHIPPING) 28 tons/truckSITE PARAMETERSRoadway dust samples were taken on Exide's Salina facility grounds on January 10th 2012.Silt %aWeight (lb)bWeight (g)Area (sqft)cArea (m2) sL (g/m2)Lead mg/kgdLead fraction14.3% 0.41 184 20 1.858 14.16 550 0.055%aSilt content analysis provided via email from Matthew Spencer on Jan. 24, 2012. Analysis conducted Jan. 20 2012 by Penniman & Browne, Inc.bWeights provided via email from Matthew Spencer on Feb. 7, 2012cAreas provided via email from Mathew Spencer on Feb. 3, 2012dLead content provided via email from Matthew Spencer on Jan. 24, 2012. Analysis conducted Jan. 13, 2012 by Microbac Laboratories Inc. of Baltimore MDAir Quality Dispersion Modeling ReportSIP Attainment DemonstrationTRAFFIC 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 clockwiseand 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 plantto 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, totalling 25 trucks perday. The number of vehicle miles travelled per year (VMT) is calculated by multiplying the distance around the plant by the number of trucks each year:Trucks VMT(feet)(miles)(1/day)(miles/year)4625 0.88 25 7993Weekly deliveries include 5 trucks of Paper Separators, 8 trucks of Lead Oxide, 18 trucks of Duff Batteries, and 5 trucks of Scrap Waste(to Smelters). VMT is calculated similarly:Trucks VMT(feet)(miles)(1/week)(miles/year)4625 0.88 36 1640To obtain a Fleet Average Weight for this route, an average of vehicle mass weighted by frequency was used:Trucks Trips / DayUnloadedWeightLoadedWeightAverageWeightLead Pigs17 16 36 26Ingots2 16 36 26Plastic6 16 36 26PaperSeparator0.71 16 40 28Duff Battery2.57 16 40 28Scrap Waste0.71 16 40 28Lead Oxide1.14 16 40 28Total30.14 Fleet Average Weight = 26.3DistanceDistanceAir Quality Dispersion Modeling ReportSIP Attainment DemonstrationTo 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-04To 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.RoadwaywidthVehicleheight (VH)Vehicle width(VW)Vehicle length(VL)Top ofplume heightVolumesource Width of plume Initial sigma y Initial sigma z(m) (m) (m) (m) (m) (m) (m) (m) (m)6 3 3 10 5.1 2.55 9 4.19 2.37The 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 roadwaywasdivided evenly by the length of each segment.Width of eachvolume sourceLength ofrunEmission rate persegmentEmission rate pervolume 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-06EmissionsSegmentNumber oflanesNumber ofvolume sourcesLengthFractionAir Quality Dispersion Modeling ReportSIP Attainment DemonstrationSHIPPING 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 7812The weight of all incoming, empty trucks is 16 tons, and that of outgoing, loaded trucks is 40 tons. The average weight of thisfleet is 28 tons.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-04To 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 consideredsingle lane sources.RoadwaywidthVehicleheight (VH)Vehicle width(VW)Vehicle length(VL)Top ofplume heightVolumesourcerelease height Width of plume Initial sigma y Initial sigma z(m) (m) (m) (m) (m) (m) (m) (m) (m)6 3 3 10 5.1 2.55 9 4.19 2.37The shipping route sources were labelled SHPRD1 through SHPRD4, and were parameterized as indicated below. The emission rate for the roadwaywas divided evenly by the length of each segment.Width of eachvolume sourceLength ofrunEmission rate persegmentEmission rate pervolume 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-06EmissionsSegmentNumber oflanesNumber ofvolume sourcesLengthFraction