e- [/ l{l/4nuryv - alexandriava.gov · phone: 978-443-7296 fax: 978-443-4296 mau reen@aeroeng...
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AERO Engi neeri ng Services39 Pilgrims Path
Sudbury, MA 01776
August 25, 2005
Robert G. BurnleyDirectorVirginia Department of Environmental Quality629 East Main StreetRichmond, Vlrginia 23219
Dear Mr. Burnley:
On behalf of the City of Alexandria, I hereby submit the report t i t led "Ambient Air QualityAnalysis - Potomac River Generating Station - Alexandria, Virginia." lf you have anyquestions, please contact me (978.443.7296) or John Britton of Schnader, Harrison, Segaland Lewis, LLP (202.419.4218),
Thank you very much.
Sincerely,
, C t ^ - t f
,41/1, e- #'( [/ l{l/4nuryv !
Maureen Barrett, Prof. Engr.AERO Engineering Services
Attachment: Report (3 copies, 1 with CD)
cc: Michael G. Dowd, Enforcement Manager, Virginia Department of EnvironmentalQual i tYKenneth L. McBee, Air Quality Modeling Coordinator, Virginia Department ofEnvironmental Quality (copy with CD)Will iam Skrabak, Division Chief, Environmental Quality, City of AlexandriaJohn Britton, Attorney, Schnader, Harrison, Segal and Lewis, LLP
Phone: 978-443-7296 Fax: 978-443-4296 mau reen@aeroeng ineering. com
AMBIENT AIR QUALITY ANALYSIS
POTOMAC RIVER GENERATING STATION
ALEXANDRIA, VIRGINIA
Presented to:Schnader, Harrison, Segal and Lewis, LLP.2001 Pennsylvania, NW Suite 300Washington, DC 20006-1825
August 2005
Prepared by:AERO Engineering Services39 Pilgrims PathSudbury, Massachusetts 0 177 6
Ambient Air Qualitv Analvsis - Potomac River Generating Station - Alexandria, Virqinia
Executive Summary
This analysis calculates the air quality impacts of the Potomac River Generating Station (PRGS) inAlexandria, Virginia and compares results against health-based National and Virginia ambient airquality standards (AAaS). This analysis uses procedures prescribed by US EPA for ambient airquality analysis, and recommended by Virginia Department of Environmental Quality within writtencomments specif ic to this facil i ty. This analysis uses AERMOD-PRIME, the most comprehensiveand accurate US EPA-approved model for calculating air quality impacts from industrial complexeswhere downwash of plumes due to the presence of onsite and offsite structures significantly affectsresults. A US EPA-approved algorithm that was recently reformulated for use in AERMOD-PRIMEwas used to calculate the dimensions of down-washing structures.
lmpacts were calculated at locations, i.e., called receptors, to which the public has access to adistance of 7.5 kilometers from the site (an extent approximately equal to the facil i ty's signif icantimpact area). These receptors include elevated receptors on nearby residential towers, receptorsalong the facil i ty's fence l ine, and receptors within the City of Alexandria where residents are l ikelyto be young, elderly or health-compromised. Results derive from application of AERMOD-PRIMEusing five years of local meteorological conditions and topography and surface conditionsrepresentative of the immediate and surrounding area. Emission rates primarily derive from site-specific emission rates and factors; US EPA's emission factors were used when plant-specific datawere not available. Maximum short-term impacts derive from maximum potential short-termemissions from the PRGS's five boilers and its coal and ash yard operations; annual impacts forthe five boilers correlate to averages of the PRGS's own historical annual emissions for the years2002 and 2003 as reported to VADEQ.
Results show that for the criteria pollutants of PM2 5, PM1o and SOz, maximum short-term impactsexceed the respective AAQS by between five and eighteen times. Areas of noncompliance arewidespread and severe; for SOz, short-term impacts exceed the AAQS by three to five times todistances beyond 600 meters from the PRGS fence l ine; for PMr u, short-term impacts exceed theAAQS by two or more times to a distance of 800 meters; and for PMro, short-term impacts do notfall below the AAQS within 400 meters from the facil i ty. Results indicate that violations of the AAQSare frequent; for the full area of noncompliance extending to beyond one kilometer in severaldirectors, results show that on average , 24-hour impacts of SOz from the PRGS (exclusive ofbackground) exceed the AAQS one of every six to seven days, with the average impact on thatday equal to three times the AAQS. At offsite and fence line locations, 24-hour impacts of SOzexceed worker protection standards, indicating the potential for OSHA violations within plantboundaries.
Annual impacts based on actual historical emissions from the facil i ty show widespread, chronicpublic exposure to levels in excess of the AAQS, with maximum annual impacts for NO2, PMz s,PMro and SOz exceeding the AAQS by between three and twelve times. For NO2, annual impactsexceed the AAQS to 700 meters north of Marina Towers (the most closely-located residentialstructure) and to 200 meters from the facil i ty's southwest fence l ine. For PM2 5, ?ohu?l impactsexceed the AAQS by two or more times to distances up to 600 meters from the facility. For PM1e,areas where impacts exceed the annual standard extend to 200 meters from the facil i ty.
lmpacts of toxic air pollutants from the PRGS's main boilers were also evaluated. For the acidgases hydrogen chloride and hydrogen fluoride, maximum impacts by PRGS exceed Virginia'sguideline standards. For hydrogen chloride, this exceedance is severe, at levels equal to f ivet imes the guidel ine standard.
This analysis shows that the PRGS's maximum impacts of CO, arsenic, cadmium, mercury andother toxic air pollutants comply with the respective AAQS and guideline levels.
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1. Introduction
This report presents the procedures and results of an analysis to determine ambient air impactsof the Potomac River Generating Station (PRGS), owned and operated by Mirant PotomacRiver, LLC and Mirant Mid-Atlantic, LLC (collectively Mirant). l t responds to the objectives of theSeptember,2004 "Order by Consent" (widely referred to as the "Downwash Study") mandatedby the Commonwealth of Virginia State Air Pollution Control Board to Mirant Potomac River,LLC, the purpose of which is to ensure the PRGS's compliance with ambient air qualitystandards. This analysis uses modeling procedures prescrrbed by the Virginia Department ofEnvironmental Quality (DEO) for the "Order by Consent" in written comments,l and guidelinesand procedures stipulated by the United States Environmental Protection Agency's (US EPA)Guideline on Air Quality Models2 and New Source Review Workshop Manual.3'a
In addition to the impacts of criteria pollutants that are the focus of this analysis, i.e, carbonmonoxide (CO), nitrogen dioxide (NOr), particulate matter for size categories smaller than 10and 2.5 microns (PM.'o and PMz 5), and sul fur dioxide (SOr), th is analysis determined maximumambient air impacts for those toxic air pollutants (TAPs) that are emitted from the facil i ty inrelative greatest quantit ies. These TAPS are the acid gases of hydrogen chloride (HCL) andhydrogen fluoride (HF) and the metals of arsenic, cadmium and mercury. "
Results of this analysis include an assessment of the PRGS's compliance with National andDEQ Ambient Air Quality Standards (AAOS) for criteria pollutants. For TAPs, maximum impactsare assessed against DEQ's emissions standards, called signif icant air ambient airconcentration guidelines.o Table 1-1 below shows these AAQS and signif icant guideline values.
Table 1-1. Standards and Guidelines For Assessment of lmpacts (ug/cu.m.)National and DEQ Ambient Air Quality Standards for Griteria Pollutants.
co N02 PM2.5 PMl O s021-hour 40.000(o,3-hour 1300(u)B-hour 10.000(o)24-hour 65(") 150(') 365(o)Annual 100(") 1 5 ( o 50 g0(")
DEQ Significant Guidelines for Toxic Air Pollutants.HCL H F Arsenic Cadmium Mercury
1 -hou r 7 5 . 4 1 . 0 .5 1 0 . 1 . 2 5Annual 0.02 0.4 0 .05Notes:(a) The fourth highest concentration provides an unbiased estimate of the gg'n percentilevalue; compliance is met when fourth highest value in area is less than or equal to this value (see"User's Guide for the AMS/EPA Regulatory Model - AERMOD").(b) Compliance is met using average of three consecutive years' values.(c) Compliance met using highest of years' values.(d) Compliance met using highest second hiqhest value.
' Ken McBee of DEQ to Dave Shea of ENSR, February 10, 2005 and June 17 ,2005.2 "Appendix W to Part 5l - Guideline on Air Quality Models," 40 CFR Ch. I (7-l -03 Edition).' "New Source Review Workshop Manual, Prevention of Significant Deterioration and Nonattainment AreaPermitting," Draft. US EPA. October, 1990." The "Order by Consent" stipulates that the "methodology for the modeling analysis shall be in accordance withEPA and DEQ methods.. . " ,s Evaluated according to their maximum potential emissions against significance guideline standards.u 9 VAC 5 Chapter 50, Hazardous Air Pollutant Sources, Part Il, Emission Standards, Article 4, Emission Standardsfor Toxic Pollutants from Existins Sources.
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2. Procedures
2.1 Facil i ty Description
At the PRGS, each of five utility boilers provides between 90 and 105 megawatts (MW) ofoutput power. Although recently reported values show heat input rates ranging to as high as1107 mi l l ion Br i t ish thermal uni ts (MMBtu per hour; ,7 this analysis uses heat input valuesreported by US EPA that range up to 1032 MMBtu per hour.8 Bituminous coal is combusted,and electrostatic precipitators (ESPs) provide control of particulate matter. Additionalcontrols include combustion modification techniques to control NOzi these have beenimplemented at the facil i ty since the late 1990's.
Boiler stack locations run approximately north to south, with boiler no. 1 being the mostsouthern-located within the PRGS boiler building. Marina Towers residential complex, withheights reaching to approximately 130 feet (39.6 meters), is located less than 150 meters tothe north of the stack of boiler no. 5, the northern-most boiler. Stack heights for each of themain boilers reach to levels signif icantly lower than the height necessary to avoid wakeeffects from either this closely-located residential complex or the PRGS's own structures;each boiler's Good Engineering Practice stack height, or height necessary to avoiddownwash and wake effects equals 99 meters, versus the 48.2 meter actual stack height.Therefore, for this facility, wake and downwash effects are very significant in their influenceon impacts.
2.2 Model Selection
This analysis applies the American Meteorological Society/Environmental Protection AgencyRegulatory Model (AERMOD), Version 04300, to determine the ambient air impacts byPRGS. Although AERMOD has not yet been promulgated by US EPA as a guideline model,eit has been proposed as a replacement to the current most-recommended model forstationary source Prevention of Signficant Deterioration (PSD) analyses (i.e., lSC3).10AERMOD incorporates recent US EPA improvements in PSD modeling capabil i ty, includingthe downwash algorithm PRIME, which is an important aspect of this analysis wheredownwash and cavity effects dominate.l l
2.3 Main Boiler Emissions and Exhaust Characteristics
Stack emissions, modeling parameters and building dimensions were determined using datafrom the facil i ty's Stationary Source Permit to Operate,12 Commonwealth of Virginia AirPollution Regulations,tt the facil i ty's Tit le V Air Permit Application,la data submitted to the
7 "Mirant Potomac River LLC Alexandria VA - A Dispersion Modeling Analysis of Downwash from Mirant'sPotomac River Power Plant," ENSR Corporation, August ,2005.8 "Mirant Response to City of Alexandria Data Request - Part 2," David S. Cramer of Mirant to Lalit Sharma ofCi[l of Alexandria, June 3,2005.e "Appendix W to Part 5l - Guideline on Air Quality Models," 40 CFR Ch. I (7-1-03 Edition).tU "AERMOD: Latest Features and Evaluation Results." US EPA. June. 2003.tt In an evaluation of AERMOD's capability to reproduce measured observations for seven studies wheredownwash effects occurred, US EPA found that for short-term results, the ratio of AERMOD with PRIME'spredicted results to the corresponding highest observed concentration equaled 97oh on average. "AERMOD:Latest Features and Evaluation Results," US EPA, June,2003.'2 "stationary Source Permit to Operate," Commonwealth of Virginia Operating Permit, September | 8, 2000.r3 Several Virginia air pollution regulations apply to the facil i ty's emissions, including the standards forparticulate matter and sulfur dioxide emissions.
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City of Alexandria by Mirant in April and June, 2005,15 and ortho-photography of the facil i tyand the surrounding area.tu Annual emissions and coal characteristics derive from VADEQ"Consolidated Plant Emissions Reports" for years 2000 through 200317 and Department ofEnergy coal purchase recordstu for the facil i ty for years 2001, 2OO2 and 2003. For boilerstacks, PMz s emissions are assumed equal to PMls emissions. This assumption conforms tomodeling recommendations by DEQIe and to US EPA guidance.2o Table 2-1 belowsummarizes some of these and other key assumptions in the calculation of emissions for thefacil i ty.
Table 2-1. KeV Emission Assumptions.PM' 'o Shortterm impacts use maximum allowable under I VAC 5-40-900,
"Standard for Particulate Matter." Annual emissions from boilersreflect reported actual values but add condensable portion based onsulfur and heat input characteristics from coal purchase records.
PMr u For combustion sources, assumed all particulate emissions are PM, u.SOz For short-term rates, assumed maximum allowable under I VAC 5-
40-930, "Standard for Sulfur Dioxide;" historical data show actualshort{erm values close in value to maximum allowed.2l
Heat lnput Rate Equvalent to US EPA's reported values (www.epa.qov/eGRlD)NOz Maximum allowable for facil i ty's boilers under federal Phase l l Acid
Rain permit.Mercury Highest average result from recent test of eight similarly-controlled
bituminous-fired boilers at four electrical qeneratinq stations.Ash Silos Emissions consistent with standard expected rate for si lo baghouses.Rail cars Included fugit ive emissions from 65 loaded, uncovered rail cars; l ine
extends from extreme southern end to northwest corner of site.Coal Use Rates Based on Department of Energy records for facility.Coal Pile Size Six acre coverage, as shown by ortho-photography.Coal Process Rail car dump, breaker, crusher at 90% control consistent with control
by enclosures.
Tables 2-2 and 2-3 show maximum potential emissions of criteria pollutants (CO, NOz, PMz s,PM,o and SO2) and TAPs (HCL, HF, arsenic, cadmium and mercury), respectively for thefacil i ty's f ive main boilers. These particular TAPs were selected for the focus of this analysisbecause their maximum impacts are expected to be greatest among all TAPs that the faciltyemits. Table 2-4 shows the annual pollutant emission rates for the criteria pollutants,
'o "PEPCO Potomac River Title V Air Operating Permit Application," James S. Potts, Vice President,Environmental to Alan L. Laubscher, Regional Permit Manager, January 9, 1998.r5 "Mirant Response to City of Alexaandria Data Request," April 4,2005 and "Mirant Response to City ofAlexandriaData Request- Part 2," lune3,2005 ffom David S. Cramer of Mirant to Lalit Sharma of City ofAlexandria; both transmittals via email.'u "GIS Data CD," City of Alexandria, Sprin g,2004.r7 Virginia Department of Environmental Quality's "Consolidated Plant Emissions Repoft, " PRGS, years 2001,2002 and 2003.r8 www.eia.doe.sov. Novemb er. 2004.'n Letter, Ken M"cBee of Virginia DEQ to Dave Shea of ENSR, dated February 10,2005. This assumption is alsoreasonable for ESP-controlled devices, where efficiency is much higher for greater particle sizes. Also, severalstates (New Jersey, Pennsylvania, California, with non-attainment regions for PM2.5 follow these samemodeling procedures.20 "Memorandum, Implementation of New Source Review Requirements in PM-z s Nonattainment Areas,"Stephen D. Page, Director, March, 2005. http://www.epa.gov/nsr/documents/nsrmemo.pdf.'t "Po River Nox SO2 Curves," in "Mirant Response to City of Alexandria Data Request - Part 2," June 3, 2005by email to Lalit Sharma, City of Alexandria from David S. Cramer, Mirant.
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calculated using the average of reported annual values for the years 2002 and 2003. Annualemissions for the toxic air pollutants assume a capacity factor equivalent to the average loadcalculated using coal purchase records for the years 2002 and 2003. Table 2-5 shows thecorresponding exhaust characteristics for each of the main boiler stacks.
Maximum load characteristics were used to derive short-term impacts, while annual impactswere derived using mid-load characteristics. Among the load scenarios for whichcharacteristics are available, mid-load characteristics are assumed to most closely reflect theload scenario for annual impacts;t ' for the facil i ty, annual capacity averaged 57o/o for 2002and 2003. Although a full load analysis is warranted with any additional analysis to ensurethat worst-case short-term potential impacts, mid-load and minimum load emission rates forPMro were not available at the time of preparation of this analysis. Also, emissioncharacteristics for SOz indicate a slight increase in eff iciency for emissions at lower loads.23Therefore, this analysis uses the assumption that maximum load characteristics are the mostl ikely representative load condition for maximum short-term impacts.
For PRGS, no comprehensive test data exist that are representative of the potentially widerange in metal content in bituminous coal and that are fully documented with respect to loadand test conditions. Although the value reported under Toxic Release Inventory (TRl)requirements'o for PRGS shows annual mercury emissions of 66 pounds, another US EPA-reported value on that agency's Air Toxic Website2s shows higher annual emissions of 83pounds. Additionally, neither the TRI nor Air Toxics Website reported values identify thecorresponding facil i ty load nor include information establishing if values are consistent withthe highest potential mercury content in the fuel coal.
Several state init iatives'u to control mercury from the electrical generation industry includesurveys to determine actual mercury emissions from coal-f ired uti l i ty boilers; these init iativesrequire rigorous testing procedures, including documentation of load conditions and inlet andoutlet testing of mercury emissions, with multiple tests required that are separated by severalmonths to account for potential mercury content variabil i ty in coal purchases. In the absenceof similarly comprehensive test data for PRGS for mercury, this analysis uses an emissionfactor equivalent to the highest outlet test result from a recent study of eight bituminouspulverized coal-f ired boilers at four different electrical generating stations, all using ESPs forparticulate matter control.2T Although use of this value may err on the side of over-predictionof impacts, its use here is meant to underscore the importance of providing test results formercury that represent the maximum potential mercury content in the facil i ty's coal fuel andthe highest short-term heat input rates. Emissions of other toxic air pollutants derive from USEPA's "AP-42's Compilation of Air Pollutant Emission Factors" for ESP-controlled bituminouscoal combustion.2s
22 "Mirant Response to city of Alexandria Data Request - Part 2," June 3,2005." "Po River NOx SO2 Curves 6-03-05," submitted with "Mirant Response to City of Alexandria Data Request -Part2." June 3. 2005.2a Toxic Release Inventory reports are required under the Superfund Authorizationand Realignment Act.25 "Emissions of Mercury by Plant - l9gg," www.epa. govlftnlatw/combust/utiltox. These results are associatedwith the US EPA's nation-wide Mercury Information Collection Request for power plants.'u New Jersey, Connecticut, Massachusetts and Maryland have ....nily proposed r...ury control legislation thataffects uti lity generators.'' Table l, Background Document and Technical Support for Public Hearings on Proposed Amendments to 310CRM 7.00 et seq.: 3 l0 CMR 3 l0 CMR 7 .29 "Emission Standards for Power Plants," October, 2003.28 US EPA's AP-42, "Compilation of Air Pollutant Emission Factors," Section l. l
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Toxic air pollutant impacts by PRGS are compared against DEQ's signif icant ambient airconcentration guidelines prescribed in 9 VAC5-60-230. These guidelines are based on theThreshold Limit Ceil ing (C), Short-term Exposure Limit (STEL) and Time WeightedAverage (TWA) exposure criteria developed by the American Conference Governmentaland Industrial Hygienists, with scaling factors that are intended to account for chronicversus worker-based exposure scenarios.2e
Through its Integrated Risk Information System (lRlS) program, US EPA develops chronicexposure criteria for toxic air pollutants. lmpacts were assessed against these lRlSguidelines where these are available; however, to date, lRlS criteria have been developedfor only a minor portion of the toxic air pollutants of this analysis.
2.4 Bui ld ing Downwash Dimensions
Structures that influence the boilers' plume's behavior include the borler and turbinebuildings, bottom and fly ash silos and the Marina Towers residential structure. The USEPA's Building Profi le Input Program with Prime, released in December, 2OO4,3o wasapplied to determine the height, width, and length of down-washing structures, anddistance to adjacent structures, for each of the potential 36 wind directions.3l Figure 2-1shows these structures for which building footprints and heights were input to BPIP-PRIME. For this analysis, the boi ler bui ld ing's layout was assumed to include the housingsof all f ive ESPs.
Table 2-6 l ists each of the PRGS sources and the maximum projected height and widthaffecting the source, as calculated by BPIP-PRIME. Currently BPIP-PRIME and AERMODdo not have the capabil i ty to calculate wake effects on area sources, i.e., for this analysis,the coal and ash yard sources exclusive of the silos.
Other offsite structures were evaluated, specifically the Trans Potomac building to thesouth, and several residential structures to the southwest, but these do not produce wakeeffects on emissions from any of the PRGS sources. Appendix A includes a printed l istingof the BPIP-PRIME input and output f i les for this analysis. Review of the maximum
2e Impacts for lead are evaluated against the DEQ significance guideline because it is more restrictive than theNAAQS 3-month standard.30
http : //www. e pa. gov/ttn/sc ram .3' "User's Guide to the Building Profile Input Program," US EPA, October, lgg3,www.epa.gov/ttn/scram.The BPIP-PRIME program also determines the distance between adjacent structures for each windorientation. In AERMOD, wind directions are apportioned into ten degree increments.
Table 2-6. BPIP-PRIME Downwash Dimension Program's calculations of MaximumHeight and Widths affecting each Source, with associated structure indicated.Source Maximum Height Affecting Source
and Controll inq StructureMaximum Projected Width andAssociated Structure
Boi ler 1 35.3 m. (Bo i le r Bu i ld ins) 175 m (Boler/Turbine)Boi ler 2 39.6 m. (Marina Towers) 175 m (Boler/Turbine)Boi ler 3 39.6 m. (Marina Towers) 17 5 m. (Boiler/Turbine)Boi ler 4 39.6 m. (Marina Towers) 17 5 m. (Boiler/Turbine)Boi ler 5 39.6 m, (Marina Towers) 175 m. (Boiler/Turbine)Fly Ash Si los 35.3 m. (Boi ler Bui ldins) 175 m. (Boiler/Turbine)Bottom Ash Silo 35.3 m. (Boi ler Bui ld ing) 197 m. (Boiler/Turbine/Fly Ash
Si los)
C \projects\Schnader, Harrison\Report - August 2005.doc 8l25l2OO5 9 49 AM
2-8
A ER 0 Engi neeri ng Services
projected width shown above shows close agreement with the maximum width within theBPIP-PRIME output f i les.
2.5 Coal and Ash Yard Process Emissions and Modeling Parameters
This analysis includes PM10 and PM2.5 emissions from each of the coal and ash yardprocess sources. These sources, their process characteristics and emissions are l isted inTable 2-7 . Figure 2-2 shows these sources on a ptanview of the facil i ty.32 Emission factorsderive from US EPA's estimates for aggregate handling and storage piles, paved roads,and mineral processingtt ' and open fugit ive dust sources.to Site-specif ic characteristicswere used whenever possible, including process characteristics derived from DOE coalpurchase rec-ords,tu data submittals from Mirant to the City of Alexandria,36 meteorologicalobservations3T and inspection reports of the facil i ty by both CH2M Hil l38 and the City ofAlexandria.3e Additional calculations showing assumptions and inputs for each of theseparate sources of the coal and ash yard are shown in Appendix B.
This analysis assumes control technologies and emissions consistent with implementationof each of the emission control projects defined in "Appendix A: Environmental Projects" ofthe facil i ty's proposed Consent Decree.a0
2.6 Receptors
Flagpole receptorsot were placed at Marina Towers and at other raised residential andcommercial structures, including those that were identif ied and requested for analysis bythe City of Alexandria. Most of these structures are located within two kilometers of PRGS.Table 2-8 l ists these elevated structures, their addresses, the number of levels and theircoordinates with respect to the PRGS. For the elevated residential structures, a receptorwas placed at each of the levels, assuming vertical spacing between levels of 10 feet (3.05meters). For Marina Towers, located directly within the zone of downwash influence(depending on wind direction, Marina Tower's wake encompasses PRGS or vice versa),receptors were placed at locations corresponding to each of the tower's six faces on its 13levels. Only one receptor was located at the coordinates of commercial structures; thisreceptor was placed at rooftop, representative of the location of air intake vents.
Discrete receptors were also placed along the facility's fence line at approximately 50meter spacing. Figure 2-2 also shows these discrete fence line receptors.
'" Tiles D l0 and Dl I of orthophotogrpahy, GIS Data, City of Alexandria, Spring, 2004 on CD-ROM." US EPA's AP-42,"Compilation of Air Pollutant Emission Factors," section 13.2.1Paved Roads andS.ection 13.2.4 Aggregate Handling and Storage Pile, December,2003, www.epa.gov/ttn/chieflap42.3a "Control of open Fugitive Dust Sources," Section 4.1.3, EPA-450/3-98-008.-" Ibid, www.eia.doe.gov.36 "Mirant Response t" City of Alexandria Data Request" and "Mirant Response to City of Alexandria DataRequest - Part 2," David. S. Cramer of Mirant to Lalit Sharma of City of Alexandria, April 4, 2005 and June3,2005, respectively; both transmittals via email." NCDC SAMSON data for DC National Airport, 1986 to 1990.38 "Fugitive Dust Review," Jay Quimby of CH2M Hill to Debra Knight, Mirant, July 20, 2001.3e Draft Memorandum, Malay Jindal, MACTEC FPI to Lalit Sharmu, City of Alexandria, Febru ary 2,2005.oo Consent Decree, United States of American and the State of Maryland v. Mirant Potomac Rivei. LLC andMirant Mid-Atlantic. LLC, September, 2004.ot Dispersion algorithms account for the difference between a receptor on a hill (elevated receptor) versus areceptor.on a raised structure (flagpole receptor).
C \projects\Schnader, Harrison\Report - August 2005.doc Bl25l2OO5 9 50 AM
2-9
AER 0 Engi neering Services
The inner receptor grid is defined in cartesian coordinates. lts outer boundaries form asquare with sides of 2000 meters, with PRGS at its center. Receptors occur every 100meters along vertical and horizontal inner grid l ines at all locations outside of the facil i ty'sproperty l ine. An additional receptor grid is defined in polar coordinates, with receptorsp laced a t 1 .25, 1 .5 ,2 .0 ,3 .0 , 4 .0 , 5 .0 and 7 .5 k i lometers d is tance a long every 10 degreeradial from the PRGS. Due north is equivalent to 0/360 degrees.
2-10C \projects\Schnader, Harrrson\Report - August 2005 doc 812512005 9 5'1 AM
AERO Engineering
Figure 2-1. Building Outlines and Heights input toBuilding Profile Input Program (with Prime).
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A EnO Engi neeri ng Services
Discrete receptors were also defined at locations in the City of Alexandria where residentsare l ikely to be young, elderly or health-compromised. These locations include health care,convalescent and daycare facil i t ies, senior centers, schools, and recreational areas. Aportion of these receptors were selected by the City of Alexand ria,a2 while the remainderwere compiled by reviewing on-l ine l istings of the City's services.a3 lmpacts for theseparticular receptors, called sensitive receptors, were determined for each criteria pollutantand TAP using the year of meteorological data for which the respective pollutant's impactswere highest for the full five-year period.
The AERMAP44 processor was used to determine geographic elevations for all receptorsusing United State Geological Services (USGS) digital elevation models for the City ofAlexandria and the surrounding area. The five surrounding quadranglesas are labeled'Anacost ia , Dc, 'Annandale , VA;"Fa l ls Church, vA,"Washington Dc East , 'and'Washington DC West. '
ot "Additional Air Modeling Receptor Locations Grid Plan to 3 KM." L. Sharma to M. Barrett, December, 13,2004.t' 'oResource Guide for Alexandria's Children, Youth and Families," City of Alexan dria,2004,www. alexandriava. sov.44 "Revised Draft fo-r the User's Guide for the AERMOD Terrain Preprocessor (AERMAP)," US EPA, Aprii24 ,2004.ot Digital elevation model data are available in 7 .5 minute quadrangles; AERMAP reads these data todetermine elevation and hill height scales for AERMOD processing. Digital elevation models were relayed toAERO on November 3, 2004 by Steve Reiter of USGS via file transfer protocol.
2-14C \projects\Schnader, Harrison\Report - August 2005.doc Bl25l20OS 9 52 AM
Table 2-8. Multi- level Residential and Gommercial Structures where FlagpoleReceotors were Placed.
Address Levels X (meters) Y (meters)Marina Towers Slaters Lane 1 3 50 120Potomac Shores 402 W . Bashford 3 -80 -280Trans Potomac 1 199 N. Fairfax 1 0 20 -480Danqerfield lsland N. of Slater's Lane 2 20 520Harbor Terrace 501 Bashford 3 -280 -280Potowmack Crossing 1600 W. Abinqdon Dr. 3 -380 120Mason Hal l Apts. 1420 W. Abinqdon Dr. 4 -480 -280Radisson Hotel 901N. Fairfax 1 0 -80 -680Port Royal Condo. 801 N. Pi t t 1 7 -280 -780Arbello Apts. 833 Bashford Lane 3 -680 - 180Sheraton Hotel 801 N. St. Asaph 1 0 -380 -780Alexandria House 498 Madison St. 242 -380 .BBOOld Town Crescent 828 Slater's Lane 1 6 -680 120Meridian Bui ld inq 1200 First St. 3 -880 -480Potomac Club 1201 Braddock Pl. 6 -980 -580Torpedo Factorv 102 N. Union St . 20 120 -1780Carlyle House 2121 Jamison Av. 3 -380 -1680Gunston Hal l 815 S. Washinqton 8 -780 -2680Hunting Point 1202 S. Wash. Pkwv 1 4 -980 -3080Portals of Alexandria 601 Four Mi le Road 1 4 -2180 2720Calvert Apts. 31 10 Mt. Vernon Ave. 1 5 -2680 1520Carvdale East 22W. Tay lor Run 1 8 -4180 -1480
AER 0 Engi neeri ng Services
2.7 Major Source Contributions
Upon request, Maryland Department of the Environment,ao District of ColumbiaDepartment of Health,aT and Virginia Department of Environmental Qualitya8 relayedlistings of the major sources of SOz and NOzwithin a 20-kilometer radius of PRGS. Basedon the approximate signif icant impact area of PRGS, the analysis init ial ly evaluated onlythose major sources that are located within 10 kilometers of PRGS. Final AERMODsimulations further l imited interacting sources to only those with a signif icant impact onreceptors within the inner receptor grid, where predicted impacts by PRGS are highest.
Results show that the remaining interacting sources, which consist only of SOz sources,contribute a very minor portion of total pollutant impacts at these close-in receptors (lessthan one percent). Therefore, the final results of this analysis exclude their impacts.However, for any future analysis that has as its objective the calculation of a compliancestack height for PRGS, where maximum impacts by the PRGS are expected to extend to agreater distance, interacting sources should be re-evaluated for inclusion in the AAQSanalysis.
Table 2-9 l ists the interacting sources that were evaluated for potential inclusion in thisAAQS analysis and their stack emissions and parameters.
2.8 Minor and Area Source Contributions (Background Air Quality)
Background ambient air concentrations are attributable to the many minor and areasources of pollutants in a given area.on The existing background ambient concentrations ofthis analysis derive from DEQ monitoring results for years 2001 , 2OO2 and 200350. Forshort-term averaging periods, the analysis uses the highest-monitored concentration fromthe nearest monitor within the three-year period. For annual averaging periods, theanalysis uses the average of annual observations over the three-year period. Table 2-10shows the resultrng selected background concentrations for each of the criteria pollutants.
Ambient background concentrations are currently monitored by state and federal networksfor only a small number of toxic air pollutants; in Virginia, the majority of those that aremonitored are polyaromatic hydrocarbons for the purposes of ozone regional scalemodeling and do not include the TAPs of this analysis. However, using regional scaledispersion modeling under the National Air Toxics Assessment program, US EPA hasestimated the annual background levels of 34 TAPs for each US county; three of the fiveTAPs that are the focus of this analysis are included. For Arl ington County, the estimatedconcentration for these pollutants, i.e., arsenic, cadmium and mercury compounds, equals0.00026, 0.00021 and 0.0028 micrograms per cubic meter, respectively." These valuesare added to the calculated annual impacts for each of these pollutants and the resultassessed against the respective signif icance guidelines. Short-term ambient backgroundlevels and ambient background levels for HCL and HF are not available.
*u Bary Buckley, MDE, May 9, 2005 via email transmittal.a7 Abraham Hagos, District of Columbia, DOH, May 20, 2005, via email transmittal.o* Ken McBee, DEQ, March 30, 2005 via email transmittal.on "Appendix W to Part 5l - Guideline on Air Quality Models," 40 CFR Ch. I (7- 1-03 Edition).s0 "Virginia Ambient Air Monitoring 2003 Data Repoft," Department of Environmental Quality (paralletreport for years 2002 and 2001), from www.state.deq.gov/airmon/publications.html.5r Results are for year 1996, the only year for US EPA conducted the study. The value used here equals theestimated value for the 95tn percentile, i.e., the value to which 95o/o of the county's residents are exposed.F rom h ff p : : /www. epa. go v/ ttn I atw I nata/ p df I v a _con c. pd f.
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2.9 Meteorological Input Data
Surface observations derive from the National Weather Service's meteorological recordsfor Ronald Reagan Airport for the years 2000 through 2004. Corresponding upper airmeasurements derive from the National Weather Service's observations from Sterl ing,Virginia, the closest location for which upper air data are available. Both sets of data wereobtained through the National Climatic Data Center in Ashevil le, North Carolina.52 TheAERMET preprocessor (Version 02222)ut was used to process and merge these data priorto application of AERMOD.
For input to the preprocessor AERMET, surface characteristics for the three-kilometer areaaround the PRGS were determined using terrain and surface features shown on theUSGS's Alexandria quadrangle.sa Figure 2-3 shows how the sectors were divided; sectorswere selected to group areas with maximally common characteristics. Table 2-11 belowshows the resulting land use apportionment per sectors, and Table 2-12 shows theresulting sector values for albedo, surface roughness and Bowen ratio. Selection ofsectors and assignment of surface characteristics conforms to guidance proceduresstipulated for the AERMET preprocessor. Inspection of Figure 2-3 and Table 2-10 showsthat the area within the three-kilometer radius circle around PRGS encompasses land usesthat are mixed, including water, grassland, deciduous forest and urban settings.55
Table 2-11. Land Use TypesSector Degrees
WaterDeciduous
ForestCultivated
Land Grassland Urban1 337 - 18 0 3 5 0 0 0 . 1 5 0.45 0.052 1 8 - 4 8 O B 0.0 0.0 0 .0 0 .23 48 - 120 0.2 0 . 1 0 . 1 0 . 1 0 .54 120 - 180 0.6 0 .2 0 .0 0 ,2 0 .05 180 - 337 0.0 0 .2 0 0 5 0.05 0 .7
52 Five years of observations from each of the Ronald Reagan Airport and Sterling, Virginia stations weretransferred to AERO Engineering Services by Sharon Capps-Hill of the National Climatic Data Center onMarch 14,2005 through file transfer protocol.53 "Revised Draft for the User's Guide for the AERMOD Meteorological Preprocessor (AERMET),"November, 1998. An updated version of AERMET (Version 04300) was released in mid-June of 2005.However, due to the very recent date of that version's release. this analysis uses data processed according toversion 02222. Personal correspondence with Warren Peters of US EPA indicates that AERMET Version04300 produces meteorological data that for this analysis's purposes that are equivalent to data from Version02222. As suggested by Mr. Peters, the headers of the AERMET meteorological data file of this analysiswere modified to allow them to be read by AERMOD 04300.to "Alexandria Quadrangle," Virginia-District of Columbia-Maryland, 7.5 Minute Series (Topographic-Bathymetric), United States Geological Survey, 1994.ttAlthough the area immediately surrounding the facility to the west and south is dominated by urban landuses, urban land uses do not form a majority of the three kilometer area.
2-18C.\projects\Schnader, Harrison\Report - August 2005 doc 8l25l2OO5 1 30 PM
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Figure 2-3. Sector Definition in Degrees for Surface Gharacteristicsin AERMET.
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3. Results and Conclusions
3.1 Maximum lmpacts of Criteria Pollutants
Results of maximum short-term and annual impacts for CO, NOr, PM1o, PM, u and SOz foreach year are shown in Table 3-1. Maximum impacts were added to the respectivepollutant's background level to determine the maximum concentration. Table 3-1 alsoshows the receptor at which the maximum impact occurs. These results show thatmaximum impacts exceed the respective AAQS for all pollutants except CO.
Table 3-2 below summarizes these impacts, showing the relationship between maximumimpacts and the AAQS for each of the pollutants that exceed standards. For thesepollutants, maximum impacts exceed the standard by three to eighteen times. Theseimpacts do not reflect the highest heat input rating of the boilers that have only recentlybeen reported;uu impacts of this analysis would almost directly proportionally increase toreflect the higher heat input rates. For boilers 1, 4 and 5, the highest reported heat inputrates are 2.0o/o,6.3% and 82% higher, respectively, than the rates of this analysis. Heatinput rates for boilers 2 and 3 within this analysis are slightly greater, by 0.4% and 0.5%,respectively, than the most recent reported values. Due to the variation in the heat inputrate gaps among the boilers, and the variation in contribution among boilers to total impactat a given receptor and time period, it is not possible to scale these impacts to assess themaximum impacts that the generally higher rates would produce. However, consideringthat the northern-most boilers, i.e., boilers No. 4 and 5, show the greatest increase in heatinput rates, and considering that maximum impacts for all criteria pollutants except PMlooccur along the fenceline or at Marina Towers immediately adjacent to these boiler stacks'(as discussed below), an increase in maximum short-term impacts over the results shownin Tables 3-2 and 3-3 for SOzand PM zsof at least 3% to 5% is expected.
The large margin between compliance and impacts that these results show indicates ahigh frequency of occurrence of concentrations in excess of the standards as well as abroad geographic area of noncompliance, as discussed below. Note that at thesefenceline and offsite locations, short-term impacts of SOz exceed worker-based protectionthresholds;ut closer inspection of impacts within plant boundaries may show even greaterviolations of Occupational Safety and Health Administration standards.
s6 "Mirant Potomac River LLC, Alexandria, VA, A Dispersion Modeling Analysis of Downwash fromMirant's Potomac River Power Plant," ENSR Corporation, August,2005.tt Fo. SO2, the American Conference of Governmental and Industrial Hygienists' 8-hour threshold limit valueequals 5,238 micrograms per cubic meter. See "2005 TLVs and BEIs," ACGIH Worldwide, SignaturePubl icat ions, 2005.
3-1
Table 3-2. Maximum lmpacts (pg/cu.m.) as a Multiple of AAQS for Pollutants thatExceed the Standard.
NOz PMz.s PMro SOzAnn. 24-hr Ann. 24-hr Ann. 3-hr 24-hr Ann.416. 544. 93. 766 171 . 10.601 . 6.869 1,009.
AAQS1 00. 65. 1 5 . 1 50. 50. 1 ,300. 365. 80.
Ratio of lmpact to Standard4.2 8 .4 6.2 5 . 1 3.4 8 .2 1 8 . 8 1 2 . 6
C.\projects\Schnader, Harrison\Report - August 2005.doc 812612005 2:01 PM
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AER O Engineeri ng Services
For CO, NOr, PMz s and SOz, maximum impacts occur either at Marina Towers, specif icallyat the closest receptor to PRGS, at the third level, or at ground-level receptors on thePRGS's northeast fenceline, just to the north of Boiler no. 4's ESP housing This isexpected for these pollutants for which emissions from the five main boilers, versus thecoal and ash yard sources, dominate results. These receptors are located a relatively shortdistance from the facil i ty's fence l ine, and at this location to the north/northeast of thefacil i ty, plumes from all f ive of the boilers combine and impact this area for winds from thesouth/southwest. This area also falls into the cavity region of the Marina Towers andPRGS, further increasing impacts.
Emissions from the coal and ash yard sources appear to dominate maximum impacts forPMro; maximum impacts for this pollutant occur along the facil i ty's southwestern fence l ine.This is a different result than for PM25, i.e., the location of maximum impacts for thesepollutants is different because while PM.'o and PM 2 5 emissions from the main boilers areequal, PM 2 5 €ITlissions from the coal and yard sources occur at signif icantly lesser ratesthan PM.'0. Therefore, for PM.'0, impacts by the ground-level, non-buoyant coal and ashyard sources contribute to even greater impacts than those from the boilers.
Although the greatest of the calculated concentrations occur at the locations discussedabove, areas where receptors show exceedances of the standards extend to distanceswell beyond the fenceline to the south/southwest of the PRGS and to the north of MarinaTowers. For all pollutants, impacts are greatest at Marina Towers and beyond to the north,and in residential areas to the southwest of the PRGS fence l ine, including south ofBashford Lane and extending to points further south than Montgomery Street. Plots ofimpacts for the five criteria pollutants in excess of standards show this (F. 3-1 through 3-B).For NO2 (F. 3-1), these plots show that impacts exceed standards to 700 meters to thenorth of Marina Towers, and approximately to 200 meters from the southwest fence line.For PMz u (F. 3-2 and 3-3), impacts exceed standards by two or more times to a distance of800 meters. For PMls, short-term impacts do not fall below the standard within 400 meters(F 3-4)
lmpacts of SOz (F. 3-6, 3-7, and 3-B) display an even broader extent of noncompliance;short{erm impacts exceed the AAQS by three to five times to distances beyond 600meters from the PRGS fence l ine, and impacts do not fall below the AAQS within onekilometer from the facil i ty except for very l imited areas. Application of the MAXIFILE outputoption for which all occurrences of S,O2z4-hour impacts over the AAQS were written to anoutput file, shows that for the worst-case year (2002) and for the entire area ofnoncompliance (stretching beyond one kilometer in several directions), that on average,impacts from the PRGS (exclusive of background) exceed the AAQS one of every six toseven days. Also, the average exceedance for that day equals three times the AAQS.Note that for many specif ic areas within this noncompliance area, the frequency andseverity of exceedances wil l be higher. For SOz, annual impacts also exceed the AAQS atdistances beyond one kilometer. Sample output from application of the MAXIFILE option,sorted by receptor, is shown in Appendix C (a full l ist ing is not possible due to the largetotal occurrences of exceedances for 2002, i.€., totaling 33,585 records).
For elevated receptors, Table 3-3 shows maximum impacts. Elevated structures are listedaccording to approximate distance from the PRGS, with distance increasing from top tobottom. Exceedances of standards are shown in bold. For all elevated receptors, COimpacts fall below standards.
C:\projects\Schnader, Harrison\Report - August 2005.doc 812512005 6:32 PM
3-3
AER 0 Engi neeri ng Services
Table 3-3 shows that impacts at elevated receptors for NOz exceed the AAQS at onlyMarina Towers and Dangerfield lsland. For PM1s, impacts exceed the 24-hour AAQS forstructures located within approximately f ive hundred meters of the PRGS (Marina Towers,Potomac Shores, Trans Potomac, Dangerfield lsland, Harbor Terrace and Mason Hall),while for PMls annual impacts, only Marina Towers and Potomac Shores receptors showexceedances. For PMz5, impacts at almost all structures exceed the AAQS, i.e., only forGunston Hall, Hunting Point, Portals of Alexandria, Calvert Apartments, and Carydale Eastdo impacts fall below or equal the AAQS. For SOz, almost all elevated structures showexceedances for short-term impacts; while annual impacts are exceeded at only MarinaTowers, Potomac Shores, Trans Potomac, Dangerfield lsland, Harbor Terrace, Mason Halland Radisson Hotel .
For these elevated receptors, maximum impacts depend both on distance from the PRGSand overall structure height; for some structures at greater distance than others, impactsare greater if total levels are higher (for example, Mason Hall and Radisson Hotel versusHarbor Terrace). However, Table 3-3 shows that impacts are more dependent on distancefrom the facility than on levels (exceedances generally drop off as the distance from thePRGS increases, regardless of total levels).
C \projects\Schnader. Harrison\Report - August 2005.doc 8l25l2OOS 10r29 AM
3-4
AERO Engineering
Figure 3-1. Maximum Annual NO2 impacts (micrograms per cubic meter)including background shown as multiples of the standard, In shaded areasimpacts exceed the standard by one or more times.
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Figure 3-2. Maximum 24-hour PM2.5 impacts (micrograms per cubic meter)including background shown as multiples of the standard. lmpacts in shadedareas exceed the standard by two or more times -- the full area of noncomplianceexceeds this grid's boundaries.
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3-6
AERO Engineering
Figure 3-3. Maximum annual PM2.5 impacts (micrograms per cubic meter)including background shown as multiples of the standard. lmpacts inshaded areas exceed the standard by two or more times. The full areaof noncompliance exceeds this grid's boundaries.
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Figure 3-6. Maximum 3-hour SO2 impacts (micrograms per cubic meter)including background shown as rnultiples of the standard. lmpacts inshaded areas exceed the standard by two or more times.
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A ER 0 Engi neeri ng Services
For sensitive receptors, maximum impacts of CO and NOz fall below the AAQS. However,for PMz s, PMlo (short-term) and SOz, impacts exceed AAQS. Table 3-4 below lists thosesensitive receptors for which impacts of these pollutants are greatest.
Table 3-4. Maximum Total lmpacts of PM2.5, PMro and SOz (pg/cu.m.) at SensitiveReceptors with the Greatest lmpacts.
PM z.s PMro SOzLocation 24-hr. Ann 24-hr. Ann. 3-hr. 24-hr. Ann.1300 Michiqan Ave. 1 8 1 . 25. 203. 31 . 3,828. 2,076. 132.Pitt Street Station 1 96. 29 274. 4 1 . 3, BB7. 1 ,858 . 148.Virqinia Vi l l laqe 151 23 163 28. 3,383. 1 ,527 . 105Canal Way 1 4 1 . 24. 170 . 3 1 . 3,606. 1 ,304. 1 1 0 .Chetworth Park 1 33. 20. 140. 25. 3,339. 1 ,284. 7 6 .St, Anthony's Davcare 132. 24. 132. 32. 3,824. 1 , 1 5 0 . 1 03.Old Town Gatewav 132. 22. 140. 27. 3,406. 1 , 3 0 1 . 98.Salvation Army 1 2 7 . 20. 147 . 26. 4 ,129 . 1 ,455. 7 5 .Giant Food Store 121. 22. 140. 28. 3,394. 1 , 0 8 1 . 93
AAQS65. 1 5 . 1 50. 50 1 300. 365. 80.
Notes: Values reflect one year of results (2002).
3.2 Griteria Pollutants' Signif icant lmpact Areas
Significance impact levels are defined by federal guidelines for ambient air qualitystandards analyses for each of the criteria pollutants; a source's impacts do not have to bereviewed against the AAQS in areas where its impacts fall below these signif icance levels.Table 3-5 below shows the greatest impact among all years for PRGS for each of thecriteria pollutants at the most distant receptor ring modeled in this analysis. Comparisonof the impacts of this analysis against the respective signif icant impact levelsss shows thatfor all pollutants except SOz, impacts either fall below or are very close to signif icancelevels at the outermost border, i.e., the 7.5 kilometer radial r ing. Although impacts of SO,exceed signif icance levels beyondT.5 kilometers, f inal model results show that the generalgradient of concentrations for all SO2 averaging periods is negative from the innermost tooutermost grid points, indicating that the receptor grid used in this analysis is expansiveenough to capture the PRGS's worst-case impacts.
3.3 Maximum lmpacts of Toxic Air Pollutants
Table 3-6 below shows maximum impacts for the toxic air pollutants of HCL, HF, arsenic,cadmium and mercury. Among these pollutants, maximum impacts exceed the DEQsignificance guidelines only for the acid gases; for HCL, maximum 1-hour impacts exceed
tt"New Source Review Workshop Manual," US EPA, October, 1990.
Table 3-5. Critieria Pollutants' Maximum lmpact at Outermost Receptors (ug/cu.m.)co NOz PM z.s PMro SOz
1 - h r 8-hr Ann. 24-hr Ann. 24-hr Ann. 3-hr 24-hr Ann.644. 1 1 0 . 1 . 8 5 . 1 < 1 5.4 < 1 368. 87 . 4 .6
Signif icance Levels2,000 | 500
Notes: PMle andt o l s o l r o l s o l r o l z s o l s o T r o _
tMr u annual values fall below 1 micrograms per cubic meter at 5K.
3-14C:\projects\Schnader, Harrison\Report - August 2005.doc 812512005 10.30 AM
A En 0 Engi neeri ng Services
the guideline level by a factor of f ive, while for HF, maximum 1-hour impacts exceed theguideline level by approximately 25%. Appendix B includes a l ist of toxic air pollutants forwhich impacts were evaluated; impacts for these other pollutants fall below signif icanceguidelines. Maximum impacts occur either at Marina Towers (all short-term results) oralong the facility's northeast fence line. The results of Table 3-6 also do not reflect thehighest reported heat input values for each of the boilers. A reasonable estimate of howthese impacts would increase with the highest heat input values equals approximately 3o/oto 5%. However, this increase would not affect the overall conclusions of compliance tothe guideline standard for each pollutant.
Table 3-7 below lists those sensit ive receptors for which impacts of the toxic air pollutantsare greatest. These results show that exceedances of the HCL 1-hour standard arewidespread, extending to distances beyond one kilometer from the southern fence l ine(YMCA location), and beyond distances of at least 700 meters from the northwestern fenceline (National Media Center). None of these sensit ive receptors show exceedances of anyof the TAPs except HCL.
Table 3-7. Maximum l-hour lmpacts of HCL and HF among SensitiveReceptors ((pg/cu.ffi.), including Background.
Location (meters) HCL H F MercuryChetworth Park (-580, -180) 333 25 0.22Powhaton Park (-680, -480) 326 25 0 .21Michigan Avenue (-380, -280) 3 1 8 24 0 .21Carpenter's Shelter (-880, -590) 312 24 0.20Gorham Tract (-480,20) 312 24 0.20Virginia Vi l lase (-490, -390) 306 23 0.20YMCA (-1380, 120) 302 23 0.20National Media Ctr. (-680, 420) 300 23 0 . 1 9Giant Food Store (-290, -590) 298 23 0 . 1 9Westover (-380, -790) 289 22 0 . 1 9
Sisnificance Guidel ine75 4 1 1 .30
Table 3-6. Toxic Air Pollutants' Maximum lmpacts (ug/cu.m.) (')
Maximum Modeled lmpactsHCL H F Arsenic Cadmium Mercury1 -hou r 1 -hou r 1-hour Ann. 1-hour Ann. 1 -hou r Ann.
386. 50. 0 . 1 3 0.01 0.02 0.001 0.43 0.03Ambient Background Levels (o)
0.0003 0.00021 0.0028Total Maximum lmpact
386. 50. 0 . 1 3 0.01 0.02 0.0012 0.43 0.033DEQ Guideline Standard
75 4 1 0.5 0.02 1 0 0.40 1 3 0.05Location of Maximum (meters)
( -63,130)(-63,130)( -63,160)(13 ,60) (-63,130)(13 ,60) (-63,1 30) ( 1 3,60)Receptor He ght (meters)
7 . 9 7 .9 7 . 9 0.0 7 . 9 0.0 7 . 9 0.0Notes:(a) Annual values reflect a capacity factor consistent with 200212003's operation.(b) Ambient background levels are available only for annual periods for arsenic, cadmiumand mercury.
3 - 1 5C \projects\Schnader, Harrison\Report - August 2005 doc Bl25l20O5 1 0 33 AM
AEn 0 Engi neeri ng Services
3.3 Gonclusion
Based on the identif ied emissions and site characteristics, these AERMOD results showthat the PRGS's emissions result in a broad geographic area of noncompliance with thehealth-based standards for all of the criteria pollutants of this analysis except C0. Theseareas of noncompliance extend to between hundreds of meters to over one kilometerbeyond the facil i ty's fenceline. In an evaluation of AERMOD's capabil i ty to reproduceobserved impacts, US EPA found that for seven studies where downwash effectsoccurred, for short-term concentrations the ratio of AERMOD's (with PRIME) predictedconcentration to measured concentrations equaled 97o/o on average.un Therefore, basedon the US EPA's evaluation of AERMOD, the results of this analysis may even representslight underestimations of the PRGS's impacts rn adjacent residential areas.uo
While the scope of this analysis conforms to that of a NAAQS analysis, thereby focusingon the maximum impacts among receptors and time periods throughout the simulatedyears (for example, the representative maximum among the 365 or 366 24-hour periodsand among 700 receptors), AERMOD can be applied to provide the frequency ofoccurrence of exceedances of the health-based standard at each of the receptors. Giventhe very large margin between the short-term health-based standards for PMr u, PMls andSOz and the calculated impacts for all years of the analysis, i.e., f ive to eighteen times thecompliance value, it is l ikely that (and l imited analysis to date shows this) that there is ahigh frequency of occurrence of concentrations in excess of standards in residential areasto the southwest of the facil i ty and at Marina Towers. For annual periods, these resultsbased on actual emissions, actual load characteristics, and actual meteorologicalconditions, indicate that residents in these areas are chronically exposed to concentrationsin excess of health-based standards.
un AERMOD: Latest Features and Evaluation Results." US EpA, June, 2003.
uo Cornpu.ison of predicted impacts to monitored results offer some opportunity for evaluation of these results: although
monitoring results are available in Alexandria. depending on wind direction results are impacted by other sources in thearea. However, fbr SO2. for which area sources are expected to be minimal. and analysis of other ma.ior interactingsources shows very little impact in this area of Alexandria, comparison of SO2 results to monitored concentrationsindicate fairly good agreement. For the SO2 monitor located at 517 North St. Asaph Street, annual monitoring results foreach of the years 2002,2003 and 2004 equal l6 micrograms per cubic meter, while fbr that location. or approximately l.lkilometers along the 200-degree radial. this analysis shows a value of approximately 33 micrograms per cubic meter.However. for this analysis. for the 240-degree radial the receptor at l. I kilometers shorvs a result equivalent to themonitored result. Differences between actual wind direction at the PRGS site versus the wind direction at ReaganNational Airport, from where surface wind measurements derive, could account for this result.
3 -16C \projects\Schnader, Harrison\Report - August 2005 doc 812512005 10 40 AM
AnRendix I BPIP-Prime lnRut and 0utRut ]iles
'PRGS 5 MAIN STACKS,2 SILO STACKS AND MARINA TOWERS; PRIME''p''METERS' 1.0'UTMN'O.OO
5'BLR&ESPS' I IO.4l0 35 .3ls 50-3 -538 -1020 - r l 0-18 -98-25 -tt5-80 -98-58 35-30 30-25 58'TRBBLDG' I IO.44 23.0-55 45-83 - l 13- l l 0 - l l 0-83 48'SILO-3 ' l 10.44 3 1 . 0-33 -140-25 -t33-1 I -140-25 -t48'sLol&2' I 10.44 33.6-33 -165- 1 3 - 1 4 5I -165- 1 3 - 1 8 5'MARINATW I 10.49 39.6-90 243-60 235-73 180-25 138-50 r l8-100 155-133 r40-148 163-100 l8s7'BOILERs'10.4 49.2 0. 0.'BOILER4't0.4 48.2 -3. -23.'BOILER3'10.4 49.2 -5. 45.'BOILER2' 10.4 49.2 -9. -68.'BOILERI '10.4 49.2 -10. -90.'PBSILOS' 10.4 3t.a -25. -140.'PFSILOS'10.4 33.6 -13. -165.0
PRGS 5 MAIN STACKS. 2 SILO STACKS AND MARINA TOWERS: PRIME
BPIP (Dated: 04274)DATE : 71 112005TIME :11:47:32PRGS 5 MAIN STACKS, 2 SILO STACKS AND MARINA TOWERS: PRIME
BPIP PROCES SING INFORMATION :
The p flag has been set for preparing downwash related datafor a model run utilizingthe PRIME algorithm.
Inputs entered in METERS will be converted to meters usinga conversion factor of 1.0000. Output will be in meters.
urMP is set to urMN. The input is assumed to be in a localx-Y coordinate system as opposed to a UTM coordinate system.True North is in the positive Y direction.
Plant north is set to 0.00 degrees with respect to True North.
PRGS 5 MAIN STACKS.2 StrLO STACKS AND MARINA TOWERS: PRIME
PRELIMINARYT GEP STACK HEIGHT RESULTS TABLE(Output Units: meters)
Stack-Building Preliminary*Stack Stack Base Elevation GEp** GEp StackName Height Differences EeNl Height value
BOTLERS 48.20 0.00 99.00 99.00BOILER4 48.20 0.00 99.00 99.00BOTLER3 48.20 0.00 99.00 99.00BOILER2 48.20 0.00 99.00 99.00BOILERI 48.20 0.00 88.25 88.25PBSTLOS 31.00 0.00 88.2s 88.25PFSTLOS 33.60 0.00 88.2s 88.25
* Results are based on Determinants I &2 on pages | &2of the GEp
Technical Support Document. Determinant 3 may be investigated foradditional stack height credit. Final values result afterDeterminant 3 has been taken into consideration.
* * Results were derived from Equation I on page 6 of GEP TechnicalSupport Document. Values have been adjusted for any stack-buildingbase elevation differences.
Note: Criteria for determining stack heights for modeling emissionlimitations for a source can be found in Table 3. I of theGEP Technical Support Document.
BPIP (Dated: 04274)DATE : 71 112005TIMtr : ll:47:32
PRGS 5 MAIN STACKS,2 SILO STACKS AND MARINA TOWERS: PRIME
BPIP output is in meters
so BUTLDHGT BOILER5 35.30 35.30 35.30 35.30 3s.30 35.30so BUTLDHGT BOTLERS 35.30 35.30 35.30 3s.30 35.30 3s.30so BUILDHGT BOILER5 35.30 39.60 39.60 39.60 39.60 35.30so BUTLDHGT BOTLERs 35.30 3s.30 35.30 3s.30 3s.30 3s.30so BUTLDHGT BOTLER5 35.30 35.30 35.30 35.30 35.30 3s.30so BUILDHGT BOILERs 35.30 35.30 35.30 35.30 35.30 35.30so BUILDWID BOILERs 102.36 122.89 140.05 152.96 161.2r t67.ggso BUILDWID BOILERs 173.26 173.26 173.00 170.37 t7r.57 17s.67SoBUILDWIDBOILER5 174.44 116.99 112.21 107.32 116.79 118.00SoBUILDWIDBOILERs 102.36 122.89 140.05 152.96 16r.2r 167.ggso BUILDWID BOILERs 173.26 173.26 173.00 t70.37 171.57 175.67so BUILDWID BOILERs 174.44 167.91 156.27 140.98 t3t.49 118.00so BUILDLEN BOILER5 nA37 fi|.57 175.67 174.44 167.9r 156.27so BUILDLEN BOILERs 140.98 131.49 118.00 102.36 122.89 140.05so BUILDLEN BOILERs 152.96 122.22 128.25 131.14 130.05 173.00so BUILDLEN BOILERs 170.37 r7r.s7 175.67 174.44 t67 .9r rs6.27so BUILDLEN BOILERs 140.98 13t.49 118.00 102.36 122.89 140.05so BUILDLEN BOILERs 152.96 t6t.2t 167.99 173.26 173.26 173.00so XBADJ BOILERs -rr7.59 -119.45 -124.87 -126.50 -124.28 -118.28so XBADJ BOTLERs -108.69 -95.80 -80.00 -63.20 -66.47 -67.73
so XBADJ BOTLERs -66.93 -244.0A -2s5.44 -259.13 ,254.94 -58.00so XBADJ BOILERs -52.78 -52.1i -50.80 -47 .94 -43.63 -37 .99so XBADJ BOTLERS -32.29 -35.69 -38.00 -39.16 -s6.42 -72.32so XBADJ BOILERs -86.03 -97.12 -t05.26 -1 10.2t -11 1.80 -115.00so YBADJ BOILERs t2.A2 s.03 -2.30 -9.55 -16.5 | -21.27so YBADJ BOTLERS -23.58 -25.17 -28.50 -32.4r -33.67 -37.03so YBADJ BOILERs -39.28 46.60 9.43 -29.67 -59.05 -21.00so YBADJ BOILERS -12.02 -5.03 23A 9.5s 16.51 21.27so YBADJ BOILERs 23.58 25.17 28.50 32.41 33.67 37.A3so YBADJ BOILERs 39.28 4A32 40.15 38.20 30.06 21.00
so BUTLDHGT BOTLER4 3s.30 35.30 35.30 35.30 35.30 35.30so BUILDHGT BOILER4 35.30 35.30 35.30 35.30 35.30 35.30so BUTLDHGT BOILER4 35.30 39.60 39.60 39.60 39.60 3s.30so BUTLDHGT BOILER4 35.30 35"30 35.30 35.30 35.30 35.30so BUTLDHGT BOILER4 3s.30 35.30 3s.30 35.30 35.30 35.30so BUTLDHGT BOTLER4 35.30 35.30 35.30 3s.30 35.30 35.30SoBUILDWIDBOILER4 102.36 122.89 140.05 152.96 r6t.2r 167.99so BUILDWID BOILER4 173.26 t73.26 173.00 170.37 t7r.57 175.67so BUILDWID BOILER4 174.44 l r6.99 rr2.2r t07 .32 116.79 I 18.00SoBUILDWIDBOILER4 102.36 122.89 140.05 152.96 16r.2r 167.99so BUILDWID BOILER4 173.26 173.26 173.00 170.37 t7r.57 175.67so BUILDWID BOILER4 r74.M 167 .9t ts6.27 140.98 t3r.49 I 18.00so BUILDLEN BOILER4 t70.37 r7r.57 175.67 174.44 t67.91 1s6.27so BUILDLEN BOILER4 140.98 l 3 1 .49 I I 8,00 t02.36 122.89 140.05so BUILDLEN BOII-ER4 152.96 122.22 128.25 t3t.t4 130.05 173.00so BUILDLEN BOILER4 170.37 tVl.57 175.67 174.44 167.91 156.27so BUILDLEN BOILER4 140.98 131.49 118.00 102.36 r22.8s 140.0sso BUILDLEN BOILER4 t52.96 t6r .2t 167 .99 t73 .26 173.26 I 73.00so XBADJ BOILER4 -94.42 -96.81 -103.45 -106.95 -r07.19 -1M.18so XBADJ BOTLER4 -98.01 -88.85 -77.A0 -64.24 -7r.52 -76.63so XBADJ BOILER4 -79.41 -259.69 -273.86 -279.7 | -277 .07 -81 .00so XBADJ BOILER4 -7s.9s -74.7s -72.22 -67.49 -60.71 -52.09soXBADJ BOILER4 -42.97 -42.63 -41.00 -38.12 -5r.37 -63.42soXBADJ BOTLER4 -73.54 -81.43 -86.84 -89.62 -89.67 -92.00so YBADJ BOTLER4 13.06 10.08 6.61 2.94 -0.82 -2.8sso YBADJ BOILER4 -2.99 -3.04 -5.50 -9.24 -1 1.03 -15.62so YBADJ BOTLER4 -19.73 63.68 23.53 -18.98 -52.10 -18.00so YBADJ BOILER4 -13.06 -10.08 -6.6t -2.94 0.82 2.85so YBADJ BOILER4 2.99 3.04 5.50 9.24 I I .03 15.62so YBADJ BOILER4 19.73 23.24 26,As 27 .s2 23.n 18.00
so BUTLDHGT BOTLER3 35.30 35.30 35.30 35.30 35.30 35.30
so BUTLDHGT BOILER3 3s.30 35.30 35.30 3s.30 3s.30 35.30so BUTLDHGT BOTLER3 35.30 3s.30 39.60 39.60 39.60 35.30so BUILDHGT BOILER3 35.30 35.30 35.30 35.30 35.30 35.30so BUTLDHGT BOTLER3 35.30 35.30 35.30 35.30 35.30 3s.30so BUTLDHGT BOTLER3 35.30 35.30 35.30 35.30 35.30 35.30SoBUILDMDBOILER3 102.36 t22.89 140.0s 152.96 r6t.2t 167.99so BUILDWID BOTLER3 173.26 173.26 173.00 170.37 17r.57 17s.67so BUILDWTD BOTLER3 174.44 167.9r rr2,2r r07.32 116.79 118.00SoBUILDWIDBOILER3 rc236 122.89 140.05 152.96 t6r.2r 167.99so BUILDWID BOILER3 173.26 t73.26 173.00 170.37 171.57 175.67so BUILDWTD BOTLER3 t74.44 167.9r 156.27 140.98 13r.49 118.00so BUILDLEN BOILER3 170.37 r7r.57 175.67 174.44 167.9r rs6.27SoBIJILDLENBOILER3 140.98 t3r.49 118.00 rc236 122.89 140.05so BUILDLEN BOILER3 152.96 t61.2r 128,25 l3l.l4 130.05 173.00so BUILDLEN BOILER3 170.37 r7r.57 175.67 174.44 167.9r 1s6.27so BUILDLEN BOILER3 140.98 131.49 118.00 102.36 122.89 140.05so BUILDLEN BOILER3 1s2.96 r6t.2r 167.99 173.26 173.26 173.00so XBADJ BOILER3 -72.41 -75.46 -S3.40 -88.81 -9r.52 -91.45so XBADJ BOTLER3 -88.60 -83.06 -75.00 -66.09 -77.r7 -85.e0so XBADJ BOILER3 -92.02 -95.35 -29r.92 -299.70 -298.38 -103.00soXBADJ BOILER3 -97.96 -96.1r -92.27 -35.63 -76.39 -64.82soXBADJ BOTLER3 -52.38 -48.42 43.00 -36.27 -4s.72 -54.1sso XBADJ BOILER3 -60.93 -65.86 -68.79 -69.63 -68.35 -70.00so YBADJ BOILER3 14.91 15.72 15.87 15.55 14.74 t5.20so YBADJ BOILER3 17.00 I 8.28 16"50 12.78 10.33 4.44so YBADJ BOILER3 -1.59 -7.57 36.26 -9.58 -46.31 -16.00so YBADJ BOTLER3 -r4.91 -r5.72 -15.87 -15.55 -r4.74 -15.2Aso YBADJ BOTLER3 -17.00 -18.28 -16.50 -t2,78 ,10.33 -4.44so YBADJ BOILER3 1.59 7.57 13.32 18.1 I t7 .32 16.00
SO BUILDHGT BOILER2 35.30 35.30SO BUILDHGT BOILER2 35.30 35.30SO BUILDHGT BOILER2 35.30 35.30SO BUILDHGT BOILER2 35.30 35.30SO BUILDHGT BOILER2 35.30 35.30SO BUILDHGT BOILER2 35.30 35.30SO BUILDWID BOILER2 102.36 122,89SO BUILDWID BOILER2 173.26 173.26SO BUILDWID BOILER2 174.44 167.91SO BTJILDWID BOILER2 1,o236 122"89SO BUILDWID BOILER2 173,26 173,26SO BUILDMD BOILER2 174.44 167.91SO BUILDLEN BOILER2 170.37 171.57SO BUILDLEN BOILER2 140.98 131.49
35.30 35.30 35.30 35.3035.30 3s.30 35.30 35.3039.60 39.60 39.60 39.6035.30 35.30 35.30 35.303s.30 35.30 3s.30 35.3035.30 35.30 3s.30 35.30140.05 152.96 16r .21 167 .99173.00 t70.37 t7I .57 17 5.67tl2.2t 107.32 1t6.79 123.00140.05 t52.96 16r .2r 167 .99173.00 r7a37 r7t.s7 175.67156.27 140.98 131.49 I 18.00175.67 t74.44 167 .9t 156.27l 1 8.00 10236 122.89 140.0s
so BUILDLEN BOTLER2 t52.96 161.2r 128.25 t3t.t4 130.05 125.00so BUILDLEN BOILER2 170.37 r7r.57 175.67 t74.44 t67.9r 156.27so BUILDLEN BOILER2 140.98 13r.49 118.00 102.36 122.89 140.05so BUTLDLEN BOTLER2 152.96 t6r,2r t67.99 r73.26 173.26 173.00soXBADJ BOTLER2 -49.24 -52.82 -61.98 -69.26 -74.44 -77.35so XBADJ BOILER2 -77.92 -76.12 -72.00 -67.13 -82.21 -94.80so XBADJ BOILER2 -104.51 -111.04 -310.33 -320.29 -32A.51 -311.00so XBADJ BOTLER2 -r2r.l3 -l18.7s -113.69 -105.18 -93"47 -78.92soxBADJ BOILER2 -63.06 -55.37 -,+6.00 -35.23 -40.68 45.25so XBADJ BOILER2 -48.45 -50.17 -50.37 -49.04 -46.22 -47.0Aso YBADJ BOILER2 15.95 20.77 24.78 28.03 30.44 33.62so YBADJ BOTLER2 37.59 4A.41 39.50 35.95 32.e7 25.86so YBADJ BOILER2 17 .96 9.5 I 50.36 I .1 1 -39.37 -78.50SoYBADJ BOILER2 -15.9s -20.77 -24.78 -28.03 -30.44 -33.62so YBADJ BOTLER2 -37.59 40.41 -39.50 -35,95 -32.97 -2s.86so YBADJ BOTLER2 -r7 .96 -9.s I -0.78 7 .43 10.37 13.00
so BUTLDHGT BOILERI 35.30 35.30 35.30 35.30 35,30 35.30so BUILDHGT BOILERT 35.30 35.30 35.30 35.30 35.30 35.30so BUILDHGT BOILER1 35.30 35.30 35.30 35.30 35.30 35.30so BUILDHGT BOTLERI 35.30 35.30 35.30 35.30 35.30 35.30so BUTLDHGT BOTLER1 3s.30 3s.30 35.30 35"30 35.30 35.30so BUILDHGT BOILERI 35.30 35.30 35.30 35.30 35.30 35.30so BUILDWID BOILERT rc236 122.89 140.05 152.96 16t.2r 167.99so BUILDWID BOILER| 173.26 173.26 173.00 170.37 171.57 175.67SoBUILDWIDBOILERT 174.44 167.9r 156.27 140.e8 r31.49 118.00SoBUILDWIDBOILERT 102.36 122.89 140.05 t52.96 16r.21 167.99so BUILDWID BOILERI 173.26 173.26 173.00 170.37 r7t.57 175.67so BUILDWID BOILERI 174.44 167.91 156.27 140.98 r31.49 118.00SoBUILDLENBOILERI fiA37 n|.57 175.67 t74.44 167.9r rs6.27so BUILDLEN BOILERI 140.98 13 I .49 1 I 8.00 rc236 122.8s 140.05so BUILDLEhI BOILERI 152.96 r6t.2t 167.99 173.26 173.26 173.00so BUILDLEN BOILERL r7A37 n|.57 175.67 174.44 167.91 156.27SoBUILDLENBOILERT 140.98 r3t.49 118.00 rc236 122.59 140.0sso BUILDLEN BOILERI 152.96 t6r.2l 167.99 173.26 173.26 173.00so XBADJ BOILERT -27.22 -31.46 -41.93 -51.12 -58.77 -64.62so XBADJ BOILERI -68.5r -70"33 -70.00 -68.98 -87.86 -104.07so XBADJ BOILERI -l 17.t2 -126.6r -t35.67 -144.20 -148.36 -148.00so XBADJ BOILERI -143.15 -140.1 1 -r33,74 -t23.32 -r09.t4 -91.65so XBADJ BOILERT -72.47 -61.16 -48.00 -33.38 -3s.03 -35.98soXBADJ BOILERT -35.84 -34.60 -32.32 -29.05 -24.et -25.00so YBADJ BOILERI 17.80 26.41 34.04 40.& 46.00 s1.68so YBADJ BOILERI 57.58 6r.73 61.50 57.96 54.32 45.91so YBADJ BOILERI 36, 10 25.r9 l3.51 I .98 -4.58 - l I .00
so YBADJ BOILERI -17.80 -26.41 -34.04 -4A.64 -46.00 -51.68so YBADJ BOILERI -57.58 -6t.73 -61.50 -s7.96 -54.32 -45.91so YBADJ BOTLERI -36.10 -25.r9 -13.51 -1.98 4.58 11.00
so BUILDHGT PBSILOS 35.30 35.30 35.30 35.30 35.30 35"30so BUTLDHGT PBSILOS 35.30 33.60 33.60 33.60 33.60 35.30so BUTLDHGT PBSTLOS 3s.30 35.30 35.30 35.30 35.30 3s.30so BUILDHGT PBSILOS 3s.30 3s.30 35.30 35.30 35.30 3s.30so BUILDHGT PBSILOS 3s.30 33.60 33.60 33.60 33.60 35.30so BUILDHGT PBSILOS 35.30 35.30 35.30 35.30 35.30 3s.30so BUILDWID PBSILOS t0236 t22.89 140.05 15296 16r.21 t67.99so BUILDWID PBSTLOS 173.76 39.39 40.00 39.39 37.59 175.67so BUILDWID PBSILOS 174.44 167 .9t 156.27 140.98 131,49 I 18.00SoBUILDWIDPBSILOS 102.36 122.59 t40.0s rs2"96 t6r.2r 167.99so BUTLDWTD PBSTLOS 173.26 39.39 40.00 39.39 37.59 175.67so BUILDWID PBSILOS 174.44 167.9r rs6.27 140.98 r3r.49 118.00so BUILDLEN PBSILOS 170.37 r71.57 175.67 174.44 167.9t 1s6.27so BUILDLEN PBSTLOS 140.98 40.38 41.00 40.38 38.53 140.05so BUILDLEN PBSILOS 152.96 16r.21 167.99 r73.26 t73.26 173.00so BUILDLEN PBSILOS 170.37 t71.57 175.67 174.44 167 .9r 156.27so B{.irLDLEN PBSILOS 140.98 40.38 41.00 40.38 38.53 140.0sso BUILDLEN PBSILOS 152.96 r6t.2t 167.99 173.26 173.26 173.00so XBADJ PBSILOS 24.62 2A.66 8.87 -3.18 -15.14 -26.63so XBADJ PBSILOS -37 .32 -12.22 -8.00 -3 .54 r .03 - 1 16.08so XBADJ PBSTLOS -137 .77 -155.27 -r7 | .47 -l 86.06 -194.99 _ 1 98.00so XBADJ PBSILOS -194.99 -t92.22 -184.54 -171.26 -t52.77 -129.64so XBADJ PBSILOS -103.66 -28.t6 -33.00 -36.84 -39.56 -23.s7so XBADJ PBSILOS -15.19 -5.e4 3.48 12.80 2r.73 2s.00so YBADJ PBSILOS 11.71 29.42 46.05 6t.29 74.66 87.48so YBADJ PBSILOS 99.43 -26.70 -25.00 -22.54 -19.39 96.71so YBADJ PBSILOS 84.04 68.82 51.50 33.r7 18.87 4.00so YBADJ PBSILOS -rt.7t -29.42 -46.05 -6t.29 -74.66 _87.48so YBADJ PBSILOS -99.43 26.70 25.00 22.54 19.39 _s6.7rso YBADJ PBSILOS -84.04 48.82 -51.50 -33.17 -18.87 _4.00
SO BUILDFIGT PFSILOS 35.30 35.30SO BUILDHGT PFSILOS 33.60 33.60SO BUILDHGT PFSILOS 35.30 35.30SO BUILDHGT PFSILOS 35.30 35.30SO BUILDHGT PFSILOS 33.60 33.60SO BUILDHGT PFSILOS 35.30 35.30SO BUILDWID PFSILOS 102.36 122.89SO BUILDWID PFSILOS 37.59 39,39
35.30 35.30 33.60 33.6033.60 33.60 33.60 33.6035.30 35.30 35.30 35.3035.30 35.30 33.60 33.6033.60 33.60 33.60 33.603s.30 3s.30 35.30 35.30140.05 152.96 t97.46 34.64
40.00 39.39 37.59 34.64
so BUILDWID PFSTLOS 174.44 167.9t 156.27 140.98 131.49 118.00so BUILDWID PFSILOS 102.36 122.89 140.05 152.96 t97.46 34.64so BUILDWID PFSTLOS 37.s9 39.39 40.00 39.39 37.59 34.64so BUILDWID PFSILOS 174.44 167.9r 156.27 140.98 13t.49 118.00SoBUTLDLENPFSTLOS 170.37 171.57 175.67 174.44 174.97 35.51so BUTLDLEN PFSTLOS 38.53 40.38 41.00 40.38 38.53 35.s1so BUILDLEN PFSILOS 152.96 t6r.2r 167,99 173.26 173.26 173.00so BUILDLEN PFSILOS t7 A 37 r7 | .57 t7 5 .67 t7 4.44 t7 4.97 3 5.5 Iso BUILDLEN PFSILOS 38.53 40.38 41.00 40.38 38.53 35.51so BUILDLEN PFSILOS 152.96 r6t.2t 167.99 173.26 173"26 173.00so XBADJ PFSILOS 47.16 40.04 24.52 8.26 -15.32 -17.32so XBADJ PFSTLOS -18.79 -r9.7A -20.00 -19.70 -18"79 -r7.32so XBADJ PFSILOS -163.03 -182.13 -199.12 -213.66 -221.70 -223.00so XBADJ PFSILOS -2r7.53 -2rr.6l -200.20 -182.70 -159.6s -18.19so XBADJ PFSILOS -19.73 -20.68 -21.00 -2A.68 -19.73 -18.19so XBADJ PFSILOS 10.07 20.92 3 I .13 40.40 48.43 50.00so YBADJ PFSILOS 27.87 49.25 68.95 86.55 83.41 0.00so YBADJ PFSILOS 0.00 0.00 0.00 0.00 0.00 0.00so YBADJ PFSTLOS 95.48 7 s .70 53.61 30.4s I 1 .40 -8.00so YBADJ PFSILOS -27.87 -49.25 -68.95 -86.55 -83.41 0.00so YBADJ PFSTLOS 0.00 0.00 0.00 0.00 0.00 0.00so YBADJ PFSTLOS -95.48 -75.70 -53.61 -30.45 -11.40 8.00
ARRendix B Additional Galculations
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I r I r I a f r fr a t t r , t r t a t t a t a t a
l l l l l l l t t t t a t t r a t t t t t t t lr l l r r t t r r a t r a r
l a l t t t t t t t t a t r a t r t t t t t t t t- l " t : - -e" i : - = i -<c) : - , r : " ro l - d i i -co l - co i -F- l - f f l ' ro l - N l - i i l - t i : j ' i ; ' : ' -N: - i - : - - " r : - ' . r i -c" ) l - t r : i - " r : - i r r i - l . - l - tn-r r r : r { : N: co: * i 3 i S: 3 i N i Ri f f i ! R i Nl g i f f i i * i e i R i K i * i 8 i f f i i f ; i h l b i b( s ; c ) ; N ; q r ;
r ' _ l | | | | | | | | I I r . t | . . t a , lr f r | | | | . I I I . r r . f r I f t I f r C \ j
l r t ll l l r t t t t t t t t t l
- - - - r - - - - , q - - - - r - - - - , ! - - - - r - - - - . r - - -
t r> : ' r * i N l l . * : o? : F* : r : g ) i o l f f i : ( ) : N : n i : o ) : f - : Ln : r - , t : o ) : s ) : { * } : { \ : - s : ( s : c r : r ' ' | : f f i{ 9 ! cD ! (O ! r r ( \ ' \ r r 0 ) , f q ' Lo , r - r l f i , s f r a r r t \ q r c - } ' c { ' c i r r f l f f } ' ( ( } ' t o ' f * ' m ' f$ , r * r { \sS : f \ l : c f ) l r i C ) : r f ) : t r ) : r$ : N : s - i * : t r ) : ( \ l r ' * : r ( ) : r r i ( } : $ : # ) i r . , r : * : s ] : (0 : rn : F - : 00^ i ' # i ' j ' o i ' c \ : * - i - i - : - : * : r ' i i - : * - l c " i : f ' t : r * : - : - i r $ : C . J : r o : * i r + i { - \ t : r ' } : c . J\ \ t \ J t \ | ! ! l
l l t r a t t r t t t t t t t tl l l t t t t t t t t t t t t t t t t t a t t a l
r I r b - - L - - r b - r L I r - - r t d r - - r I i r - - r | - - t r ' r I r ' r r
c D : c o : o l : r : r : o i o : r i o l : o r : @ : o l : o : c o : . i t ' : N : o l i o : t o : N : s t : i - i c o : s iN r ( ! r r . ( ! r ( ! , r ' r ' N r r , r , N ' r , r . N ' N ' N , r , r , ( \ r N . N i ' ( f ) , N ; N i C r )
t t a t t t a t t t a t t t t ll l a t r t a t t t t t t t t l
r t t r r t t t t r t tl l a t t r t t t t t t l t
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N : O : N : ( o l @ : c D : - l r - i O : S : C f ) : O ) : f - : S : c o : O : ( O : s l 0 : N : = f : L n : ( } : @ : I u i r r )Or ; O ; r ( ) ; f - ; N ; ( c ) ; ( ( ) ; N ; (O ; l r r ; - , S ; r r ) ; c ) ; O ; c ' . ) ; r r ) ; | r ) ; v : € ) ; f t i ; f f i ; t r i @; * i c ]
I l - r I r I I l - t | | t - t \ - t r I I r t I r i r r t I r t { \t r a r t , t t t r t t t t t " '
l t l a t r t a t t t t t r t t t ll l t l r a t a t l t t r t t t a t tt t r a t t t l
l r r a r a t a t t a a r t t lr a t t t t t a r t t t t t r t t t t
- -t - F -t - F -l r F -l - rF Q - .F -t - .F -l - .F rl - rF rl - rF - - !. q - rF r. - iF -.- .
f : : 0 ) , L t ) ' l ' * , N r ( ( ) ! L { -J . tS ! t f l ' t f ) . ( } , l - f } . t ^ t - ) , m. S} . f ' - , U} ' t f ) ' ( } ' f - ' S , ' * , m, ( f ) ' i$ }r ! r i r * l ' t * i r i r l r i r i r i r i N : r i r i r l r i r i r l r i f i l : v * ! { \ : : f t ; r l r - i r {
r t t r r t t t t t t t t l r t t a t t t ll l l t t r r t t t t t t r t l
t r r t t r t t l t t t t t t at r t t r t a t t l
l l l r t a t t l t r t t t t t t t t t t la l r t t r r t t t t t t t r t t l
L # : s i " : O l : r ' ( } ! @ : ( O ! C ! , 5 f r O ) ' 5 f , l t r ) , 5 f r L f ) , \ f ' ( O , O ' N , f Q ' O , s i ) , C S ' r r t l ^ ) ' m ,f f i ; t r ) : S : f ' * : r ' . * : | J ) : t r ) : ( o : r o : S : o ) : \ t : r f ) : s ) I 0 ) : r - : r o : S : r D : r - : * : r - : . $ : r \ : O : c o
| | a | | | r I r t I r r I r r I r r Y *I r r a a t t t l a t t t r t t t r
t l a t r t t la a r t t r a t t t t t t r t t a t r t a l
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r : o ) : ( o : N : s : o ) : @ ! r ! @ ! ( o , f - ' ( o . @ , o . s ' l r ) . @ ' F - . l \ ' ( o , ( o ' r i - ' o ' f \ ' \ r ' € )( o : l f ) : $ : t o : t o : S : S : t o : S : S : ( o l \ t : \ t : @ : @ : L o : $ : S : @ : r o : ( o : ( o : @ : t o : ( o : 6a a t t t r t t t t a t t t t r r l t ll a r t t t t t t t t t t t t l t a r t a l l lt a l r t a a t t r l t a t l lr t t t t r a t t t l t t t t r r t t tl l l r t t r t t r t l t t r t a l
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R S : Y i e i 3 i P i S i N i 9 i q i e i R i i R l R i e i \ i r : S i B , e i F : e : 5 i 5 i . - i
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Sampfe of Output for MAXIFILE Option for 24-hour SO2 lmpacts for Year 2002
* AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MO DELING OPTIONS* C ONC ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= f f THRESHOLDo F 3 65* FOR SOURCE GR OUP: PRGS* FORMAT: (1X,1 3 , 1 X , A 8 , 1 X , 1 8.8 ,2 (1X,F13 .5 ) , 3( 1 X, F7. 2),1 X, F 1 3 5 )*A VE GRP DATE X Y ZELEV ZH ILL ZFLAG AVERAGE CONC*
24 PRGS 02102924 -1532 08887 -1285 57 532 7 .39 1 1 2 8 0 379 980124 PRGS 02041124 -1500 -0.00005 1 1 5 6 1 1 5 6 0 481 761724 PRGS 02062124 -1500 -0.00005 1 1 5 6 1 1 5 6 0 412 564924 PRGS 02082124 -1500 -0 00005 1 1 5 6 ' 1 1 5 6 0 371.776724 PRGS 02062024 -1477.21167 -260 47232 1 3 4 1 1 3 4 1 0 417 321424 PRGS 02102824 -1477 21167 -260.47232 1 3 4 1 13.41 0 366 063224 PRGS 02061424 -1409 53894 -513.03027 1 3 7 2 13.72 0 544.422224 PRGS 02091024 -1409 53894 -513 03027 13.72 13.72 0 565 96324 PRGS 02102424 -1409 53894 -513.03027 1 3 7 2 13.72 0 470 82924 PRGS 02102824 -1409 53894 -513.03027 13 72 13.72 0 425 8224 PRGS 02121024 -1409.53894 -513 03027 13 72 1 3 7 2 0 384 47924 PRGS 02061424 -1299 03809 -750 00006 1 2 . 7 7 1 2 7 7 0 391 592824 PRGS 02092624 -1299.03809 -750.00006 1 2 7 7 1 2 7 7 0 403 973424 PRGS 02102824 -1299 03809 -750 00006 1 2 7 7 1 2 7 7 0 383 607224 PRGS 02102924 -1299 03809 -750 00006 1 2 . 7 7 1 2 7 7 0 504 956424 PRGS 02112524 -1299.03809 -750 00006 12 .77 12 .77 0 456 408124 PRGS 02032024 -1299.03809 749.99994 1 3 3 1 3 . 3 0 409 769424 PRGS 02101524 -1285 5752 -1532 08887 10.54 1 0 5 4 0 383 26424 PRGS 02102224 -1285.57 52 -1532.08887 10.54 1 0 5 4 0 418.152924 PRGS 02041124 -1250 -0.00005 1 2 3 1 1 2 3 1 0 599 749124 PRGS 02062124 -1250 -0 00005 1 2 3 1 1 2 3 1 0 507 048624 PRGS 02082124 -1250 -0.00005 1 2 3 1 1 2 3 1 0 508 952824 PRGS 02121724 -1250 -0 00005 1 2 . 3 1 1 2 . 3 1 0 436 167624 PRGS 02062024 -1231 00964 -217.06027 12 .48 1 2 4 8 0 462 127324 PRGS 02082124 -1231 00964 -217 06027 1 2 . 4 8 1 2 . 4 8 0 408 '1993
24 PRGS 02090624 -1231 00964 -217 06027 12 .48 12 .48 0 371.942724 PRGS 02092524 -1231 00964 -217.06027 12 .48 1 2 4 8 0 419.225324 PRGS 02102824 -1231 00964 -217 06027 1 2 4 8 1 2 4 8 0 438 407324 PRGS 02020924 -1231.00964 217.06018 1 3 5 8 1 3 . 5 8 0 464 983824 PRGS 02041124 -1231 00964 217.06018 1 3 . 5 8 1 3 . 5 8 0 480.615224 PRGS 02020924 -1174.61584 427.52515 15.24 15.24 0 472 417424 PRGS 02090624 -1174.61584 427.52515 1 5 2 4 1 5 2 4 0 380 880824 PRGS 02061424 -1174 61572 -427 52521 11 .7 13.72 0 696.714124 PRGS 02062124 -1174.61572 -427 52521 11 .7 13.72 0 380 .831524 PRGS 02091024 -1174.61572 -427.52521 11 .7 13.72 0 731.429324 PRGS 02092524 -1174.61572 -427 .52521 11 .7 13.72 0 395.562624 PRGS 02092624 -1174.61572 -427 52521 1 1 . 7 1 3 7 2 0 410 731724 PRGS 02101024 -1174 .61572 -427.52521 11 .7 13.72 0 429 900624 PRGS 02102424 -1174 61572 -427 52521 11 .7 13.72 0 629 709924 PRGS 02102824 -1174 .61572 -427 52521 11 .7 13 72 0 545 793824 PRGS 02121024 -1174 61572 -427 52521 11 .7 13.72 0 513.372924 PRGS 02042124 -1 149 06665 -964 18146 10 34 10 34 0 435.957724 PRGS 02101024 -1149 .06665 -964 18146 10 .34 10.34 0 403 094924 PRGS 02102824 -1149.06665 -964.18146 10 .34 10 .34 0 435.883724 PRGS 02102924 -1149.06665 -964 18146 10 .34 10 34 0 642.8221
c-1 NMQS-24HR-O2-sorted by recep Bl25l20O5 3 46 PM
* AE RMOD (04300). PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MC DELING OPTIONS* C ONC ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= f i THRESHOLDo F 3 65* FOR SOURCE GR OUP. PRGS* FORMAT: (1X,1 3 , 1 X , A 8 , 1 X , l g .8 ,2 (1X,F13 .5 ) , 3( 1 X, F7. 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02111624 1149.06665 -964.18146 10.34 10.34 0 51 0 498324 PRGS 02112524 -1149.06665 -964.18146 10.34 10.34 0 413 591124 PRGS 02093024 -1 149 06665 964.1814 1 0 . 8 9 1 3 . 1 1 0 368 408424 PRGS 02042124 -1082.53174 -625 00006 1 3 4 8 1 3 4 8 0 419.541424 PRGS 02061424 -1082.53174 -625 00006 1 3 4 8 1 3 4 8 0 536.662224 PRGS 02091024 -1082.53174 -625 00006 '13.48 1 3 4 8 0 449.306124 PRGS 02092624 -1082 53174 -625 00006 13.48 13.48 0 566.342124 PRGS 02101024 -1082.53174 -625 00006 13,48 1 3 4 8 0 409.398624 PRGS 02102424 -1082.53174 -625.00006 1 3 4 8 13.48 0 393.773624 PRGS 02102824 -1082.53174 -625 00006 1 3 4 8 1 3 4 8 0 543 652424 PRGS 02102924 -1082 53174 -625.00006 1 3 4 8 1 3 4 8 0 666 67 1724 PRGS 02111624 -1082.53174 -625.00006 1 3 4 8 1 3 4 8 0 372 51924 PRGS 02112524 -1082 53174 -625.00006 13.48 13 .48 0 558 686724 PRGS 02121024 -1082.53174 -625 00006 1 3 4 8 1 3 4 8 0 462 777924 PRGS 02121724 -1082.53174 -625.00006 13.48 1 3 4 8 0 378 192624 PRGS 02122424 -1082.53174 -625 00006 1 3 . 4 8 13.48 0 400 073924 PRGS 02032024 -1082.53174 624 99994 13 .63 15.24 0 524 376124 PRGS 02072524 -1082.53174 624 99994 1 3 6 3 15.24 0 399 703524 PRGS 02090624 -1082.53174 624.99994 1 3 6 3 1 5 2 4 0 406 904424 PRGS 02090724 -1082.53174 624 99994 1 3 6 3 1 5 2 4 0 375 495224 PRGS 02101124 -1082.53174 624.99994 13 .63 15.24 0 429 583924 PRGS 02062024 -1000.00006 1732.05078 6 9 5 1 0 6 7 0 386 875624 PRGS 02031724 -1000 -1000 1 3 . 3 1 1 3 . 3 1 0 424.359324 PRGS 02042124 -1000 -1000 1 3 3 1 1 3 . 3 1 0 585 661224 PRGS 02071024 -1000 -1 000 1 3 3 1 13 3 '1 0 421 299824 PRGS 02071124 -1000 -1 000 1 3 3 1 1 3 . 3 1 0 431 377624 PRGS 02082824 -1000 -1 000 1 3 3 1 1 3 . 3 1 0 465 480224 PRGS 02083024 -1000 -1 000 '13 31 13.3 '1 0 390.277724 PRGS 02083124 -1000 -1000 1 3 3 1 1 3 . 3 1 0 413.288524 PRGS 02092624 -1000 -1 000 1 3 3 1 1 3 . 3 1 0 369 01424 PRGS 02100924 -1000 -1 000 1 3 3 1 1 3 3 1 0 475.323924 PRGS 02101024 -1000 -1 000 1 3 3 1 1 3 . 3 1 0 380 831924 PRGS 02101224 -1000 -1000 1 3 3 1 1 3 . 3 1 0 47 0.040624 PRGS 02101424 -1000 -1000 1 3 . 3 1 1 3 3 1 0 397.21724 PRGS 02101524 -1000 -1000 '13 31 1 3 3 1 0 5 8 1 . 824 PRGS 02102124 -1 000 -1000 13 3 '1 1 3 3 1 0 441.463724 PRGS 02102224 -1 000 -1000 1 3 3 1 1 3 3 1 0 453 037824 PRGS 02102524 -1000 -1000 1 3 3 1 1 3 3 1 0 387 232224 PRGS 02102924 -1 000 -1000 1 3 3 1 1 3 3 1 0 611 374824 PRGS 02111624 -1000 -1000 1 3 . 3 1 1 3 3 1 0 566.966324 PRGS 02112524 -1 000 -1000 1 3 . 3 1 1 3 3 1 0 495 935824 PRGS 02112624 -1 000 -1000 '13 31 1 3 3 1 0 395 998824 PRGS 02031724 -1 000 -900 12 .92 12 .92 0 449.680524 PRGS 02042124 -1 000 -900 12 .92 12.92 0 599.272824 PRGS 02071024 -1 000 -900 12 .92 1 2 . 9 2 0 429.764924 PRGS 02A82824 -1 000 -900 12.92 1 2 9 2 0 448.242124 PRGS 02083124 -1 000 -900 12 92 12 92 0 454.3043
c-2 NAAQS-24HR-O2-sorted bv recep Bl25l2OO5 3:46 PM
* AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002MC DELING OPTIONS
* c ONC ELEV FLGPOL DRYDPL WETDPLMAXI-FILE FOR 24-HR VALUES >= ff THRESHOLDo F 3 65FOR SOURCE GR OUP: PRGS
* FORMAT: (1X,1 3 , 1X ,A8 , 1X , lg . 8 , 2 ( 1 X , F 1 3 . 5 ) , 3 (1X, F7 . 2),1X,F1 3 . 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02092624 -1 000 -900 1 2 . 9 2 1 2 9 2 0 422.113624 PRGS 02100924 - '1000 -900 12 .92 12 .92 0 365 638124 PRGS 02101024 -1000 -900 12 92 12 .92 0 448.666624 PRGS 02101224 -1000 -900 12 92 12.92 0 412.361724 PRGS 02101424 -1000 -900 12 92 12.92 0 398 307124 PRGS 02101524 -1000 -900 12 .92 12 .92 0 439 425124 PRGS 02102124 - '1000 -900 12 .92 12 92 0 380 400924 PRGS 02102524 -1000 -900 12 .92 12 92 0 374.870724 PRGS 02102824 - '1000 -900 12.92 12 92 0 482.742224 PRGS 02102924 - '1000 -900 12.92 12 92 0 717.727824 PRGS 02111624 -1000 -900 12.92 12 .92 0 606 30924 PRGS 02112524 -1000 -900 12.92 12.92 0 495.2492
24 PRGS 02031724 -1000 -800 13.21 13.21 0 411 78224 PRGS 02042124 -1000 -800 13.21 13.21 0 526 292924 PRGS 02071024 -1000 -800 13.21 13.21 0 385 691224 PRGS 02082824 -1000 -800 1 3 2 1 13.21 0 385 158324 PRGS 02083124 -1000 -800 1 3 2 1 13.21 0 443 540724 PRGS 02092624 -1000 -800 13.21 1 3 2 1 0 498.934824 PRGS 02101024 -1000 -800 1 3 2 1 1 3 2 1 0 480 154524 PRGS 02102824 -1 000 -800 13.21 13.21 0 587 421824 PRGS 02102924 -1 000 -800 1 3 2 1 1 3 2 1 0 821.354124 PRGS 02111624 -1 000 -800 13.21 1 3 2 1 0 629 950924 PRGS 02112524 -1 000 -800 1 3 2 1 13.21 0 503 .991324 PRGS 02121024 -1000 -800 13.21 1 3 2 1 0 41 1 906324 PRGS 02042124 -1000 -700 1 4 4 5 1 4 4 5 0 469 .019624 PRGS 02083124 -1000 -700 14.45 1 4 4 5 0 398.624424 PRGS 02092624 -1000 -700 14.45 14.45 0 559 135624 PRGS 02101024 -1000 -700 14.45 1 4 4 5 0 490 606524 PRGS 02102524 -1000 -700 14.45 14.45 0 365.211124 PRGS 02102824 - '1000 -700 1 4 4 5 14 45 0 613 544324 PRGS 02102924 -1 000 -700 1 4 4 5 14.45 0 811 81224 PRGS 02111624 -1 000 -700 1 4 4 5 14.45 0 584 06924 PRGS 02112524 -1000 -700 14.45 14.45 0 535 755624 PRGS 02121024 -1000 -700 14.45 14.45 0 446 787524 PRGS 02121724 -1000 -700 14.45 14.45 0 492.871324 PRGS 02122424 -1000 -700 14.45 14.45 0 387.286724 PRGS 02042124 -1 000 -600 1 3 5 6 1 3 . 5 6 0 469.777924 PRGS 02061424 -1000 -600 1 3 . 5 6 1 3 5 6 0 545 989524 PRGS 02083124 -1 000 -600 1 3 . 5 6 1 3 5 6 0 385.355824 PRGS 02091024 -1 000 -600 1 3 . 5 6 1 3 5 6 0 465.67 424 PRGS 02092524 -1 000 -600 1 3 5 6 13 .56 0 394.093124 PRGS 02092624 -1 000 -600 1 3 5 6 13 56 0 635 834824 PRGS 02101024 -1000 -600 13 56 1 3 5 6 0 457.807924 PRGS 02102424 -1000 -600 1 3 5 6 1 3 5 6 0 416.444724 PRGS 02102524 -1000 -600 1 3 5 6 1 3 5 6 0 386 946924 PRGS 02102824 -1 000 -600 13 .56 1 3 . 5 6 0 617 6245
c-3 IAAQS-24HR-O2-sorted by recep Bl25l2OOS 3 46 PM
* AE RMOD (0a300): PFSHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002L MC DELING OPTIONS* C ONC ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= f i THRESHOLDo F 3 65* FOR SOURCE GR OUP: PRGSt FORMAT: (1X,1 3 , 1X ,A8 , 1X , lg .8 ,2(1X, F 1 3. 5) , 3 ( 1 X , F 7 . 2), 1X, F 1 3 . 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 021A2924 -1000 -600 1 3 5 6 1 3 5 6 0 760.616224 PRGS 02111624 -1000 -600 1 3 . 5 6 1 3 5 6 0 446.338424 PRGS 02112524 -1000 -600 1 3 . 5 6 1 3 . 5 6 0 592.604424 PRGS 02121024 -1000 -600 1 3 . 5 6 1 3 . 5 6 0 502.500724 PRGS 02121724 -1000 -600 1 3 . 5 6 1 3 . 5 6 0 442.820824 PRGS 02122424 -1000 -600 1 3 5 6 1 3 5 6 0 438 857924 PRGS 02042124 -1000 -500 1 2 . 5 7 14.02 0 507 086324 PRGS 02061424 -1000 -500 1 2 . 5 7 14.02 0 824.882624 PRGS 02083124 -1000 -500 1 2 . 5 7 14.02 0 374.991824 PRGS 02091024 -1000 -500 1 2 . 5 7 14.02 0 753 393324 PRGS 02092524 -1 000 -500 1 2 5 7 14.02 0 444.177524 PRGS 02092624 -1000 -500 1 2 5 7 14.02 0 647 804424 PRGS 02101024 -1 000 -500 1 2 . 5 7 14.02 0 456 802124 PRGS 02102424 -1 000 -500 1 2 5 7 14 02 0 605.52224 PRGS 02102524 -1 000 -500 1 2 5 7 14.02 0 378 033924 PRGS 02102824 -1 000 -500 12 57 14.02 0 634 815424 PRGS 02102924 -1 000 -500 1 2 5 7 14.02 0 602.487224 PRGS 02112124 -1 000 -500 1 2 . 5 7 14 02 0 400 259724 PRGS 02112524 -1000 -500 1 2 . 5 7 14 02 0 516 549924 PRGS 02121024 -1000 -500 1 2 5 7 14.02 0 592 908124 PRGS 02122424 -1000 -500 1 2 . 5 7 14 02 0 433.68224 PRGS 02020724 -1000 -400 1 2 . 1 2 1 2 1 2 0 385 334424 PRGS 02042124 -1000 -400 12.12 1 2 1 2 0 478 3724 PRGS 02042824 -1000 -400 1 2 1 2 1 2 . 1 2 0 410 480224 PRGS 02061424 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 877 232924 PRGS 02062124 -1 000 -400 1 2 1 2 1 2 1 2 0 418.290724 PRGS 02072524 -1 000 -400 1 2 . 1 2 1 2 . 1 2 0 393 .661824 PRGS 02091024 -1 000 -400 1 2 . 1 2 1 2 1 2 0 901 .357924 PRGS 02092524 -1 000 -400 1 2 . 1 2 1 2 1 2 0 497.52924 PRGS 02092624 -1 000 -400 1 2 . 1 2 1 2 1 2 0 592.452324 PRGS 02100924 -1 000 -400 1 2 . 1 2 1 2 . 1 2 0 375 496124 PRGS 02101024 -1000 -400 1 2 . 1 2 1 2 1 2 0 492.80824 PRGS 02101524 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 3 9 0 1 9 124 PRGS 02102424 -1000 -400 12.12 1 2 . 1 2 0 764.370324 PRGS 02102824 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 657 130124 PRGS 02102924 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 402 283324 PRGS 02112124 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 454 62724 PRGS 02121024 -1000 -400 1 2 . 1 2 1 2 1 2 0 623.150724 PRGS 02122424 -1000 -400 1 2 . 1 2 1 2 . 1 2 0 369 420624 PRGS 02042124 -1 000 -300 11.23 11 .23 0 393 953324 PRGS 02061424 -1 000 -300 11.23 11 .23 0 685 368424 PRGS 02062024 -1 000 -300 11.23 11.23 0 483.016224 PRGS 02072524 -1 000 -300 11 .23 1 1 2 3 0 489.230824 PRGS 02091024 -1 000 -300 11 .23 1 1 2 3 0 702.725224 PRGS 02092524 -1000 -300 11 .23 11 .23 0 579 051924 PRGS 02092624 -1 000 -300 11 .23 11 .23 0 395 502824 PRGS 02101024 -1000 -300 11.23 11.23 0 393.4464
c-4 ep NMQS-24HR-O2-sorted by recep 812512005 3 46 PM
* AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MC DELING OPTIONS
C ONC ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= f i THRESHOLDo F 3 65* FOR SOURCE GR OUP: PRGS* FORMAT: (1X ,1 3 , 1 X , 4 8 , 1 X , l g . 8 , 2 ( 1 X , F 1 3 . 5 ) , 3 ( 1 X , F 7 . 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZH ILL ZFLAG AVERAGE CONC*
24 PRGS 02102424 -1000 -300 11.23 11.23 0 707 044924 PRGS 02102824 -1000 -300 1 1 2 3 11 .23 0 641 529424 PRGS 02121024 - '1000 -300 11.23 11.23 0 541.414324 PRGS 02041124 -1 000 -200 13.25 13.25 0 425 34824 PRGS 02061424 -1 000 -200 13.25 13.25 0 389 864524 PRGS 02062024 -1 000 -200 13.25 1 3 2 5 0 538 919924 PRGS 02072524 -1 000 -200 13.25 1 3 2 5 0 496 831224 PRGS 02082124 -1 000 -200 13.25 13.25 0 507 836724 PRGS 02083124 -1000 -200 13.25 13.25 0 371 55924 PRGS 02090624 - '1000 -200 13.25 13.25 0 442.316724 PRGS 02092524 -1 000 -200 13.25 13.25 0 577 672924 PRGS 02102424 -1 000 -200 1 3 2 5 1 3 2 5 0 436 086324 PRGS 02102824 -1 000 -200 1 3 2 5 1 3 2 5 0 561 730224 PRGS A2041124 -1000 - 1 0 0 15.74 15.74 0 636 844224 PRGS 02072524 -1 000 - 1 0 0 1 5 7 4 15.74 0 413 042324 PRGS 02082124 -1 000 -100 1 5 7 4 15.74 0 721 615424 PRGS 02083124 -1000 -100 1 5 7 4 15.74 0 375 387124 PRGS 02090624 -1000 - 1 0 0 15.74 15.74 0 389 698824 PRGS 02092524 -1000 - 1 0 0 15.74 1 5 7 4 0 440 095324 PRGS 02102824 -1000 -100 15.74 15.74 0 430.323224 PRGS 02121724 - '1000 -100 1 5 7 4 15.74 0 480.115724 PRGS 02041124 -1 000 0 1 3 8 9 1 8 5 9 0 755.14724 PRGS 02062124 -1000 0 1 3 8 9 1 8 5 9 0 607.869124 PRGS 02082124 -1 000 0 1 3 . 8 9 1 8 5 9 0 655.832224 PRGS 02121724 -1000 0 1 3 . 8 9 1 8 . 5 9 0 528 452924 PRGS 02020924 -1 000 1 0 0 13 76 14.94 0 386 601 124 PRGS 02041124 -1 000 100 1 3 7 6 14.94 0 658 86724 PRGS 02062124 -1 000 100 1 3 7 6 14.94 0 605.797724 PRGS 02072624 -1 000 1 0 0 13.76 14 94 0 480 508324 PRGS 02082124 -1000 1 0 0 1 3 7 6 14.94 0 382 811724 PRGS 02020924 -1 000 200 1 3 0 7 14.94 0 648 750624 PRGS 02041124 -1 000 200 13.07 14.94 0 647 771924 PRGS 02041224 -1 000 200 13 07 14 94 0 386.703424 PRGS 02072624 -1000 200 13.07 14.94 0 408.598324 PRGS 02020924 -1000 300 12.63 13.72 0 657 283624 PRGS 02041124 -1000 300 12 63 13.72 0 565 012924 PRGS 02041224 -1 000 300 12 63 13 72 0 503.1 62324 PRGS 02020924 -1 000 400 1 2 . 5 9 1 3 7 2 0 511.135424 PRGS 02050824 -1 000 400 1 2 . 5 9 13.72 0 378 049924 PRGS 02090624 -1000 400 1 2 . 5 9 13.72 0 51 7 639324 PRGS 02032024 -1000 500 13 .36 1 3 . 3 6 0 477 430124 PRGS 02050824 -1 000 500 1 3 3 6 1 3 3 6 0 417.961224 PRGS 02072524 -1 000 500 1 3 3 6 13 36 0 416.340724 PRGS 02090624 -1000 500 1 3 . 3 6 1 3 3 6 0 541.355724 PRGS 02090724 -1000 500 1 3 . 3 6 1 3 . 3 6 0 431 .665424 PRGS 02032024 -1 000 600 14.07 14.07 0 575 844124 PRGS 02050824 -1000 600 14.07 14.07 0 373 8741
c-5 NAAQS-24HR-O2-sorted bv receo 8l25l2OOS 3 46 PM
AE RMOD (04300): PF SHORT.TERM S 02 IMPACTS USING AERMOD 4300 FOR YEAR 2002* MC DELING OPTIONS* C oNc ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= ff THRESHOLDo F 3 65* FOR SOURCE GR OUP PRGS* FORMAT: (1X,1 3 , 1X ,48 , 1X , lg .8 ,2 (1X,F13 .5 ) , 3(1 X, F7. 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02072524 -1 000 600 14.07 14.07 0 464.876824 PRGS 02090624 -1 000 600 14.07 14.07 0 400 198324 PRGS 02090724 -1000 600 1 4 0 7 14.07 0 37 5.523424 PRGS 02101124 -1000 600 14.07 14.07 0 476 808924 PRGS 02032024 -1000 700 1 3 0 9 14.94 0 490.633224 PRGS 02072524 -1000 700 1 3 0 9 14 94 0 472.952524 PRGS 02100824 -1000 700 1 3 . 0 9 14.94 0 431.637624 PRGS 02101124 -1000 700 1 3 0 9 14 94 0 444 562324 PRGS 02072524 -1 000 800 1 3 . 1 9 1 5 2 4 0 434.741424 PRGS 02093024 -1000 800 1 3 . 1 9 1 5 2 4 0 420.641724 PRGS 02100824 -1000 800 1 3 1 9 1 5 2 4 0 404.447 524 PRGS 02093024 -1 000 900 13 .33 14 02 0 427 913624 PRGS 02031224 -1 000 1 000 1 3 1 1 1 3 1 1 0 407 227924 PRGS 02093024 -1 000 1 000 1 3 . 1 1 1 3 . 1 1 0 372.104924 PRGS 02042124 -980 -580 1 3 3 6 1 3 3 6 1 8 485 516324 PRGS 02042124 -980 -580 13 36 13 36 4 8 484 913524 PRGS 02042124 -980 -580 13 36 13 .36 7 .9 484 407724 PRGS 02061424 -980 -580 13 36 13 .36 1 . 8 579.220624 PRGS 02061424 -980 -580 13 36 13 36 4 . 8 579 70824 PRGS A2AU424 -980 -580 13 36 13 36 7 . 9 580 649124 PRGS 02083124 -980 -580 1 3 3 6 1 3 . 3 6 1 8 395 033224 PRGS 02083124 -980 -580 1 3 3 6 1 3 . 3 6 4 8 394 045824 PRGS 02083124 -980 -580 1 3 . 3 6 13 36 7 9 393 331524 PRGS 02091024 -980 -580 13 36 13 36 1 8 503 014924 PRGS 02091024 -980 -580 13 36 1 3 3 6 4 . 8 502 953124 PRGS 02091024 -980 -580 13 .36 13 36 7 9 502 991 124 PRGS 02092524 -980 -580 13 .36 13 36 1 8 408 21924 PRGS 02092524 -980 -580 13 .36 13 36 4 8 407 659824 PRGS 02092524 -980 -580 13 36 13 36 7 . 9 407 214924 PRGS 02092624 -980 -580 13 36 13 36 1 8 658 289324 PRGS 02092624 -980 -580 1 3 3 6 1 3 . 3 6 4 8 657 970424 PRGS 02092624 -980 -580 13 .36 1 3 3 6 7 9 657 635324 PRGS 02101024 -980 -580 1 3 . 3 6 13 .36 1 8 465.087524 PRGS 02101024 -980 -580 13 36 13 36 4 . 8 465 145524 PRGS 02101024 -980 -580 13 36 13 36 7 . 9 465 434324 PRGS 02102424 -980 -580 13 36 13 36 1 . 8 439 462424 PRGS 02102424 -980 -580 13 36 13 36 4 .8 439 317824 PRGS 02102424 -980 -580 13 36 13 36 7 . 9 439 420524 PRGS 02102524 -980 -580 13 .36 13 36 1 . 8 399.177324 PRGS 02102524 -980 -580 13 36 13 .36 4 . 8 399 205224 PRGS 02102524 -980 -580 13 36 13 .36 7 . 9 399 416424 PRGS 02102824 -980 -580 13 36 13 .36 ' 1 . 8 635 828324 PRGS 02102824 -980 -580 13 36 13 36 4 . 8 636.278424 PRGS 02102824 -980 -580 13 36 13 36 7 . 9 637.214524 PRGS 02102924 -980 -580 1 3 3 6 1 3 3 6 1 8 771 .170924 PRGS 02102924 -980 -580 1 3 3 6 1 3 . 3 6 4 . 8 769.960924 PRGS 02102924 -980 -580 13.36 13 .36 7 . 9 768.655
c-6 NAAQS-24HR-O2-sorted by recep 812512005 3 46 PM
* AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MC DELING OPTIONS* C ONC ELEV FLGPOL DRYDPL WETDPL
MAXI-FILE FOR 24-HR VALUES >= f f THRESHOLDo F 3 65* FOR SOURCE GR OUP: PRGS
FORMAT: (1X ,1 3 , 1X ,48 , 1X , lg .8 ,2 (1X,F13 .5 ) , 3(1X,F7. 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02111624 -980 -580 13 .36 13 .36 1 . 8 438.928424 PRGS 02111624 -980 -580 13 .36 1 3 3 6 4 8 438 570824 PRGS 02111624 -980 -580 13.36 13 .36 7 .9 438.481424 PRGS 02112524 -980 -580 13 36 13 36 1 8 604.640624 PRGS 02112524 -980 -580 13 36 13 36 4 8 604 724224 PRGS 02112524 -980 -580 13 36 13 36 7 9 604 869624 PRGS 02121024 -980 -580 13 36 13 36 '1 8 522 264724 PRGS 02121024 -980 -580 13 36 13 36 4 8 522.657824 PRGS 02121024 -980 -580 1 3 3 6 13 36 7 . 9 523.454824 PRGS 02121724 -980 -580 13 36 13 36 1 8 437.580824 PRGS 02121724 -980 -580 13 36 13 36 4 . 8 437 56924 PRGS 02121724 -980 -580 13 .36 1 3 . 3 6 7 9 437 636924 PRGS 02122424 -980 -580 1 3 . 3 6 1 3 3 6 1 8 452 580824 PRGS 02122424 -980 -580 13 36 13 36 4 . 8 452 570624 PRGS 02122424 -980 -580 1 3 3 6 1 3 3 6 7 . 9 452 701924 PRGS 02020924 -964.18146 1 149 06665 1 1 0 6 13.41 0 382 32524 PRGS 02031224 -964.18146 1 149 06665 1 1 0 6 13.41 0 380 409624 PRGS 02052924 -964 18146 1'149.06665 1 1 0 6 13.41 0 388 642324 PRGS 02032424 -964.1814 -'1 149.06665 1 1 9 3 1 1 . 9 3 0 487 156124 PRGS 02042124 -964 1814 -1 149 06665 1 1 9 3 1 1 9 3 0 371 828424 PRGS 02071124 -964 1814 -1 149 06665 1 1 9 3 1 1 9 3 0 465 629324 PRGS 02082824 -964.1814 -1 149 06665 1 1 . 9 3 1 1 . 9 3 0 390 438324 PRGS 02092924 -964.1814 -1 149 06665 1 1 9 3 1 ' 1 . 9 3 0 549 564524 PRGS 02100924 -964.1814 -1 149 06665 1 1 9 3 1 1 9 3 0 400.884224 PRGS 02101224 -964 1814 -1 149 06665 1 1 . 9 3 1 1 . 9 3 0 559 723824 PRGS 02101524 -964.1814 -1149 .06665 1 1 9 3 1 1 . 9 3 0 609 077724 PRGS 02102124 -964 1814 -1 149 06665 1 1 9 3 1 1 9 3 0 387 .901524 PRGS 02102224 -964.1814 -1 149 06665 1 1 . 9 3 1 1 9 3 0 559 .871624 PRGS 02102524 -964 1814 -1149 .06665 1 1 . 9 3 1 1 . 9 3 0 422 912224 PRGS 02102924 -964 1814 -1 149 06665 1 1 9 3 1 1 9 3 0 419.844424 PRGS 02111624 -964.1814 -1149 .06665 1 1 9 3 1 '1 93 0 5 1 6 7 1 8 924 PRGS 02112524 -964.1814 -1 149 06665 1 1 9 3 '11 93 0 417.648924 PRGS 02072524 -957.5556 803 4845 1 2 . 8 1 1 2 8 1 0 436.520824 PRGS 02091824 -957 5556 803.4845 1 2 8 1 1 2 8 1 0 392.893824 PRGS 02093024 -957 5556 803.4845 1 2 . 8 1 1 2 . 8 1 0 457.701924 PRGS 02031724 -957.55554 -803.48456 13 .93 13 .93 0 466 415124 PRGS 02042124 -957.55554 -803.48456 1 3 . 9 3 13 .93 0 595.461724 PRGS 02071024 -957.55554 -803 48456 13 .93 1 3 9 3 0 429 139324 PRGS 02082824 -957 55554 -803 48456 1 3 9 3 13 .93 0 437 970424 PRGS 02083124 -957.55554 -803 48456 1 3 9 3 13 93 0 482.985724 PRGS 02092624 -957 55554 -803 48456 1 3 9 3 13 93 0 505.934824 PRGS 02101024 -957.55554 -803 48456 13 93 1 3 9 3 0 490.438324 PRGS 02101224 -957.55554 -803 48456 1 3 9 3 1 3 9 3 0 394.076824 PRGS 02101524 -957 55554 -803 48456 1 3 . 9 3 1 3 . 9 3 0 370 414924 PRGS 02102524 -957 55554 -803.48456 1 3 9 3 1 3 9 3 0 389 253724 PRGS 02102824 -957.55554 -803.48456 1 3 9 3 1 3 9 3 0 585.127724 PRGS 02102924 -957 55554 -803 48456 1 3 9 3 1 3 9 3 0 838.9742
c-7 NAAQS-24HR-02-sorted bv receo Bl25l20OS 3.46 PM
AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MC DELING OPTIONS
C ONC ELEV FLGPOL DRYDPL WETDPLMAXI-FlLE FOR 24-HR VALUES >= f i THRESHOLDo F 3 65FOR SOURCE GR OUP: PRGS
* FORMAT: (1X,1 3 , 1 X , 4 8 , 1 X , l 8 .8 ,2 (1X,F13 .5 ) , 3( 1 X, F7. 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02111624 -957 55554 -803 48456 1 3 9 3 1 3 9 3 0 667 .458724 PRGS 02112524 -957.55554 -803.48456 13 .93 1 3 9 3 0 5 3 1 1 1 5 524 PRGS 02121024 -957.55554 -803 48456 13 .93 13 .93 0 410.816424 PRGS 02031724 -900 -1000 1 3 8 5 1 3 8 5 0 414.935624 PRGS 02032424 -900 -1000 1 3 8 5 '13 85 0 482.125524 PRGS 02042124 -900 -1 000 1 3 8 5 1 3 8 5 0 565 095824 PRGS 02071024 -900 - '1000 1 3 . 8 5 1 3 8 5 0 413 543824 PRGS 02071124 -900 -1000 1 3 8 5 1 3 8 5 0 545 999624 PRGS 02082824 -900 -1000 1 3 8 5 1 3 8 5 0 498.874124 PRGS 02083024 -900 -1 000 1 3 8 5 13 .85 0 401 190224 PRGS 02083124 -900 -1000 1 3 . 8 5 1 3 8 5 0 377 .177524 PRGS 02090624 -900 -1000 1 3 8 5 1 3 8 5 0 383 209724 PRGS 02092624 -900 -1000 1 3 8 5 1 3 8 5 0 401 808324 PRGS 02092724 -900 -1000 1 3 8 5 1 3 8 5 0 370 983824 PRGS A2092924 -900 - 1 0 0 0 1 3 . 8 5 1 3 8 5 0 520 874224 PRGS 02100924 -900 -1000 1 3 8 5 1 3 8 5 0 512.429824 PRGS 02101224 -900 -1000 '13 85 1 3 8 5 0 6 2 3 8 1 6 124 PRGS 02101524 -900 -1000 1 3 8 5 1 3 8 5 0 7 18 001724 PRGS 02102124 -900 -1 000 1 3 8 5 1 3 8 5 0 483.7 5224 PRGS 02102224 -900 -1 000 1 3 . 8 5 1 3 . 8 5 0 594 881524 PRGS 02102524 -900 -1000 1 3 8 5 1 3 8 5 0 478.785524 PRGS 02102924 -900 -1000 '13.85 1 3 8 5 0 561 8924 PRGS 02111624 -900 -1000 1 3 8 5 1 3 8 5 0 637 .47 5224 PRGS 02112524 -900 -1000 1 3 8 5 1 3 8 5 0 507.57324 PRGS 02112624 -900 -1 000 1 3 8 5 1 3 8 5 0 434 922124 PRGS 02122924 -900 -1 000 1 3 8 5 1 3 8 5 0 367 097224 PRGS 02031724 -900 -900 1 4 0 1 1 4 0 1 0 504.514524 PRGS 02042124 -900 -900 1 4 0 1 1 4 0 1 0 677 204824 PRGS 02071024 -900 -900 14.01 14.01 0 494.890924 PRGS 02071124 -900 -900 14.01 14.01 0 503 123424 PRGS 02082824 -900 -900 14.01 1 4 0 1 0 551.412124 PRGS 02083024 -900 -900 14.01 1 4 0 1 0 424.386524 PRGS 02083124 -900 -900 1 4 0 1 1 4 0 1 0 486.022624 PRGS 02090624 -900 -900 1 4 0 1 14.01 0 402.764724 PRGS 02092624 -900 -900 1 4 0 1 14.01 0 444 57824 PRGS 02092924 -900 -900 14.01 14.01 0 407.967124 PRGS 02100924 -900 -900 14.01 14.01 0 508 .1 41 324 PRGS 02101024 -900 -900 1 4 0 1 1 4 0 1 0 414.628524 PRGS 02101224 -900 -900 1 4 0 1 14.01 0 564 358424 PRGS 02101424 -900 -900 14.01 14.01 0 449.284724 PRGS 02101524 -900 -900 14.01 14.01 0 647.970624 PRGS 02102124 -900 -900 14.01 14.01 0 499 249624 PRGS 02102224 -900 -900 14.01 14.01 0 495 893724 PRGS 02102524 -900 -900 14.01 14.01 0 459.36624 PRGS 02102824 -900 -900 14.01 1 4 0 1 0 422.051724 PRGS 02102924 -900 -900 1 4 0 1 1 4 0 1 0 708 .918324 PRGS 02111624 -900 -900 14.01 14.01 0 675 1895
c-8 NAAQS-24HR-02-sorted bv recep Bl25l2OO5 3 46 PM
AE RMOD (04300): PF SHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MC DELING OPTIONS* C ONC ELEV FLGPOL DRYDPL WETDPL
MAXI-FILE FOR 24-HR VALUES >= f i THRESHOLDo F 3 65FOR SOURCE GR OUP: PRGS
* FORMAT: (1X ,1 3 ,1X,A8 , 1X , lg .8 ,2 (1X,F13 .5 ) , 3 (1X, F7 . 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02112524 -900 -900 1 4 0 1 1 4 0 1 0 556 468124 PRGS 02112624 -900 -900 1 4 0 1 1 4 0 1 0 426 983224 PRGS 02013124 -900 -800 14.05 14 05 0 398 723724 PRGS 02031724 -900 -800 14.05 14 .05 0 526 336124 PRGS 02042124 -900 -800 14.05 1 4 0 5 0 685 299324 PRGS 02071024 -900 -800 1 4 0 5 1 4 0 5 0 510 182424 PRGS 02071124 -900 -800 1 4 0 5 14 05 0 376 55824 PRGS 02082824 -900 -800 1 4 0 5 14 05 0 5 1 9 . 8 1 124 PRGS 02083124 -900 -800 1 4 0 5 14.05 0 530.582524 PRGS 02092624 -900 -800 1 4 0 5 14 05 0 5 1 9 0 1 7 824 PRGS 02100924 -900 -800 1 4 0 5 1 4 0 5 0 378 947124 PRGS 02101024 -900 -800 1 4 0 5 14.05 0 496.645324 PRGS 02101224 -900 -800 14.05 14.05 0 479 540324 PRGS 02101424 -900 -800 1 4 0 5 1 4 0 5 0 425 261 124 PRGS 02101524 -900 -800 1 4 0 5 1 4 0 5 0 486 655124 PRGS 02102124 -900 -800 1 4 0 5 1 4 0 5 0 430 44824 PRGS 02102424 -900 -800 1 4 0 5 1 4 0 5 0 377 .965224 PRGS 02102524 -900 -800 1 4 0 5 1 4 0 5 0 440.118124 PRGS 02102824 -900 -800 1 4 0 5 14.05 0 582.18424 PRGS 02102924 -900 -800 1 4 0 5 14.05 0 856 456524 PRGS 02111624 -900 -800 14 .05 14.05 0 710 .671224 PRGS 02112524 -900 -800 14 .05 14.05 0 573 01224 PRGS 02121024 -900 -800 1 4 0 5 14.05 0 417 .774524 PRGS 02013124 -900 -700 1 4 9 3 1 4 9 3 0 394 47624 PRGS 02031724 -900 -700 14.93 1 4 9 3 0 447.576724 PRGS 02031824 -900 -700 1 4 9 3 1 4 9 3 0 387.343124 PRGS 02042124 -900 -700 1 4 9 3 14.93 0 600 699724 PRGS 02071024 -900 -700 14.93 14 93 0 435 201724 PRGS 02082824 -900 -700 1 4 9 3 14.93 0 431 230124 PRGS 02083124 -900 -700 1 4 9 3 14 93 0 492.175824 PRGS 02092524 -900 -700 1 4 9 3 14.93 0 388.406824 PRGS 02092624 -900 -700 14 .93 14.93 0 607,747324 PRGS 02101024 -900 -700 14.93 14 .93 0 535 530224 PRGS 02101224 -900 -700 1 4 9 3 1 4 9 3 0 369 733524 PRGS 02102424 -900 -700 1 4 9 3 14.93 0 391 929524 PRGS 02102524 -900 -700 1 4 9 3 1 4 9 3 0 413.410924 PRGS 02102824 -900 -700 1 4 9 3 1 4 9 3 0 69'1 56224 PRGS 02102924 -900 -700 14.93 14 93 0 960 094924 PRGS 02111624 -900 -700 1 4 9 3 14 93 0 693 658524 PRGS 02112524 -900 -700 14.93 14 .93 0 573 980324 PRGS 02121024 -900 -700 14 93 14.93 0 493 453124 PRGS 02121724 -900 -700 14 93 14 93 0 454 562124 PRGS 02122424 -900 -700 14 .93 1 4 . 9 3 0 388 503524 PRGS 02031824 -900 -600 14.2 14.2 0 365.200324 PRGS 02042124 -900 -600 14.2 14.2 0 551.741324 PRGS 02061424 -900 -600 14.2 1 4 2 0 442.808824 PRGS 02083124 -900 -600 14.2 14.2 0 452 8388
c-9 NAAQS-24HR-O2-sorted by recep 8l25l2OO5 3:46 PM
* AE RMOD (04300): PFSHORT-TERM S 02 IMPACTS USING AERMOD 4300FOR YEAR 2002* MO DELING OPTIONS* C oNc ELEV FLGPOL DRYDPL WETDPL* MAXI-FILE FOR 24-HR VALUES >= f f THRESHOLDo F 3 65* FOR SOURCE GR OUP: PRGS* FORMAT: (1X ,1 3 , 1X ,48 ,1X,18 .8 ,2 (1X,F13 .5 ) , 3 ( 1X , F7 . 2),1X,F1 3 5 )*A VE GRP DATE X Y ZELEV ZHILL ZFLAG AVERAGE CONC*
24 PRGS 02091024 -900 -600 1 4 2 14.2 0 383 800424 PRGS 02092524 -900 -600 14.2 14.2 0 418.270324 PRGS 02092624 -900 -600 14.2 1 4 2 0 704 55624 PRGS 02101024 -900 -600 1 4 2 1 4 2 0 519 53624 PRGS 02101324 -900 -600 14.2 1 4 2 0 374 593824 PRGS 02102424 -900 -600 14.2 1 4 2 0 431 61124 PRGS 02102524 -900 -600 14.2 1 4 2 0 428 993624 PRGS 02102824 -900 -600 1 4 2 1 4 2 0 697.426924 PRGS 02102924 -900 -600 1 4 2 1 4 2 0 944.717124 PRGS 02111624 -900 -600 14.2 1 4 2 0 604.447324 PRGS 02112524 -900 -600 14.2 1 4 2 0 629.27824 PRGS 02121024 -900 -600 14.2 1 4 2 0 537 966724 PRGS 02121724 -900 -600 1 4 2 14.2 0 537 439924 PRGS 02122424 -900 -600 1 4 2 14.2 0 467 595324 PRGS 02042124 -900 -500 1 3 9 7 13.97 0 586 539724 PRGS 02061424 -900 -500 13.97 13.97 0 809.443224 PRGS 02083124 -900 -500 13.97 13.97 0 450 813624 PRGS 02090624 -900 -500 13.97 13.97 0 380 342824 PRGS 02091024 -900 -500 13.97 13.97 0 716 291424 PRGS 02092524 -900 -500 13.97 13.97 0 484 95624 PRGS 02092624 -900 -500 13.97 13.97 0 764 188324 PRGS 02101024 -900 -500 13.97 1 3 9 7 0 509.268124 PRGS 02101324 -900 -500 13.97 13.97 0 366 159824 PRGS 02101524 -900 -500 13.97 1 3 9 7 0 383 636424 PRGS 02102124 -900 -500 1 3 9 7 13.97 0 371 841324 PRGS 02102424 -900 -500 1 3 9 7 13.97 0 596 21 324 PRGS 02102524 -900 -500 1 3 9 7 13.97 0 443.761624 PRGS 02102824 -900 -500 1 3 9 7 13.97 0 716.627824 PRGS 02102924 -900 -500 13.97 13.97 0 806.028524 PRGS 02111624 -900 -500 13.97 1 3 9 7 0 394 853624 PRGS 02112124 -900 -500 1 3 9 7 13.97 0 379.724224 PRGS 02112524 -900 -500 1 3 9 7 13.97 0 629 22524 PRGS 02121024 -900 -500 1 3 9 7 1 3 9 7 0 628.083124 PRGS 02121724 -900 -500 1 3 9 7 1 3 9 7 0 405.670824 PRGS 02122424 -900 -500 13.97 13.97 0 517 963224 PRGS 02020724 -900 -400 1 2 . 8 1 2 8 0 395.210724 PRGS 02042124 -900 -400 1 2 . 8 1 2 8 0 563 968624 PRGS 02042824 -900 -400 1 2 . 8 1 2 . 8 0 415.378424 PRGS 02061424 -900 -400 1 2 . 8 1 2 8 0 995 .981324 PRGS 02062124 -900 -400 1 2 8 1 2 . 8 0 414.259524 PRGS 02071424 -900 -400 1 2 . 8 1 2 8 0 383.1 99824 PRGS 02072524 -900 -400 1 2 . 8 1 2 . 8 0 394 663324 PRGS 02083124 -900 -400 1 2 . 8 1 2 8 0 428.074624 PRGS 02090624 -900 -400 1 2 . 8 1 2 . 8 0 3 8 3 3 1 1 324 PRGS 02091024 -900 -400 1 2 . 8 1 2 . 8 0 986.359524 PRGS 02092524 -900 -400 1 2 . 8 1 2 . 8 0 556 597524 PRGS 02092624 -900 -400 1 2 . 8 1 2 . 8 0 7 30.4272
c-10 NAAQS-24HR-02-sorted bv recep Bl25l20O5 3 46 PM
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