s3-us-west-2.amazonaws.com · 2016-07-22 · ERG No. 0141.00.055.001 DEVELOPMENT OF AN AREA SOURCE EMISSIONS INVENTORY FOR CIUDAD JUÁREZ, CHIHUAHUA, MEXICO Final TCEQ Contract No.

Development of anArea Source EmissionsInventory forCiudad Juárez,Chihuahua, Mexico

Final

Prepared for:

Texas Commissionon Environmental Quality

August 29, 2003

Eastern Research Group, Inc.

ERG No. 0141.00.055.001

DEVELOPMENT OF AN AREA SOURCE EMISSIONS INVENTORYFOR CIUDAD JUÁREZ, CHIHUAHUA, MEXICO

Final

TCEQ Contract No. 582-0-34730Work Order No. 34730-03-55

Prepared for:

Ms. Karla HardisonTexas Commission on Environmental Quality

P.O. Box 13087Austin, Texas 78711-3087

Prepared by:

ERG, Inc.8950 Cal Center Drive, Suite 260

Sacramento, California 95826-3259

with

International Emissions Inventories13510 Caldwell DriveAustin, Texas 78750

August 29, 2003

Cd. Juárez Area Source Emissions InventoryFinal, August 2003

i

CONTENTSSection Page

1.0 INTRODUCTION............................................................................................................1-11.1 Objectives.............................................................................................................1-11.2 Scope ....................................................................................................................1-21.3 Organization of this Report ..................................................................................1-4

2.0 DATA COLLECTION.....................................................................................................2-12.1 Survey of Selected Small Industrial Sources .......................................................2-1

2.1.1 Survey Methodology................................................................................2-12.1.2 Data Compilation and Quality Assurance................................................2-6

2.2 Other Data Collection Activities ..........................................................................2-62.3 Conclusions and Recommendations.....................................................................2-7

3.0 AREA SOURCE EMISSIONS INVENTORY................................................................3-13.1 Methodology ........................................................................................................3-1

3.1.1 Annual Emissions.....................................................................................3-13.1.2 Ozone-Season Daily Emissions ...............................................................3-5

3.2 Quality Assurance ................................................................................................3-53.3 Results ..................................................................................................................3-63.4 Conclusions and Recommendations...................................................................3-12

4.0 REFERENCES.................................................................................................................4-1

Tables Page

1-1 Source Categories Included in the Area Source Inventory for Ciudad Juárez.................1-32-1 Sources of Data Collected for the Area Sources Emissions Inventory

for Ciudad Juárez .............................................................................................................2-23-1 Methodology Matrix for the Ciudad Juárez Area Sources Emissions Inventory.............3-23-2 Emissions From Small Industrial Sources in Ciudad Juárez – 2002

(tons/year and lbs/day) .....................................................................................................3-73-3 Emissions From Areawide Sources in Ciudad Juárez – 2002 (tons/year and lbs/day) ....3-8

Figures Page

2-1 Number of Facilities Included in the Ciudad Juárez Area Source Survey.......................2-53-1 Relative Contribution of 2002 NOx and SOx Emissions from Areawide Sources

in Ciudad Juárez ...............................................................................................................3-93-2 Relative Contribution of 2002 VOC and NH3 Emissions from Areawide Sources

in Ciudad Juárez .............................................................................................................3-103-3 Relative Contribution of 2002 PM10 and PM2.5 Emissions from Areawide Sources

in Ciudad Juárez .............................................................................................................3-11


1-1

1.0 INTRODUCTIONEl Paso, Texas is in nonattainment of the National Ambient Air Quality Standards

(NAAQSs) for ozone (O3), carbon monoxide (CO), and particulate matter 10 micrometers (μm)

in aerodynamic diameter or smaller (PM10). Also, although the U.S. Environmental Protection

Agency (EPA) has not yet officially designated nonattainment areas for particulate matter 2.5 μm

or smaller (PM2.5), there is a likelihood that El Paso may be designated as a nonattainment area

for PM2.5 in the future.

Ciudad (Cd.) Juárez, in the state of Chihuahua, Mexico is located directly across

the Rio Grande River from El Paso, Texas, to the south. Industrial, nonpoint (i.e., area), and

mobile sources located in Cd. Juárez are known to contribute significant amounts of air pollution

that is transported north, adversely impacting air quality in El Paso. Data have been collected for

several years by both Mexican and U.S. authorities focusing on large industrial sources and on-

road motor vehicles; however, little is known about the source impacts from smaller stationary

sources and area sources. For this reason, the Texas Commission for Environmental Quality

(TCEQ) sponsored this study to estimate emissions from air pollution sources located in Cd.

Juárez.

This project was conducted under TCEQ Work Order No. 34730-03-55 (W.O.

#55) of Contract No. 582-0-3470, by Eastern Research Group (ERG), Inc. with assistance from

International Emissions Inventories (IEI).

1.1 Objectives

The main objective of this project was to develop an emissions inventory of

selected area sources located in Cd. Juárez using best emission estimation methods and data

collected during a survey of sources. Other objectives included the following:

• Increase knowledge (e.g., identify location, activities, emission points,controls, and emissions) of specific, small industrial sources;

• Conduct a survey in order to collect the types of source-specific dataneeded to estimate emissions at the facility-level for the small industries;and


1-2

• Supplement other Mexico inventories currently being conducted (i.e.,Mexico National Emissions Inventory) and assist with improvements topast inventories (i.e., the Paso del Norte Study).

Details of the W.O. #55 survey and the emissions inventory for the sources

surveyed are documented in this report. The extrapolation of emissions and development of a

geographic information system (GIS) database indicating specific location, emissions, operating

schedule, and other source parameters was developed under the second part of this project

conducted under TCEQ Work Order No. 34730-03-57 (W.O. #57) of Contract No. 582-0-3470

by ERG and the Paso del Norte Environmental Group.

1.2 Scope

The scope of the area source emissions inventory for Cd. Juárez includes:

• Pollutants: Volatile organic compounds (VOC), sulfur dioxide (SO2),nitrogen oxides (NOx), CO, PM10, PM2.5, and ammonia (NH3). (Note thatthe initial focus of the project was on sources of fine particulate matter,but it was later expanded to include all sources of criteria pollutantemissions.)

• Source types: Small industries and nonpoint area sources of PM10 or VOCthat emit less than 100 tons per year (tpy) of the pollutants listed above,are located in Cd. Juárez, and fall within the source categories listed inTable 1-1.

• Base year: 2002.

• Temporal resolution: tons/year and pounds (lbs)/day during the ozoneseason (May through October).

• Spacial resolution: Physical address with cross-streets for small industrialsources, and within the municipality of Cd. Juárez for area sources (e.g.,wind erosion).

There are several small industrial and traditional area source categories that were

purposely not included in the area sources emissions inventory for Cd. Juárez. The sources

excluded from the inventory are listed below according to the reason why they were excluded:


1-3

Table 1-1. Source Categories Included in the Area Source Inventoryfor Ciudad Juárez

Small Industries Area SourcesAsphalt batch plants Agricultural tillingAutobody shops Agricultural burningBakeries Border crossingsConcrete batch plants Brick kilnsDry cleaners Cattle feedlotsGas and diesel marketing Construction activitiesGrain mills Consumer solventsGraphic arts Domestic ammoniaIce plants Fertilizer applicationLiquefied petroleum gas marketing Fuel combustion – commercialLandfill Fuel combustion – residentialLumber manufacturing Livestock ammoniaMetalworking foundries Open burningQuarries Paved road dustRestaurants Unpaved road dustStreet vendors Pesticide applicationWastewater treatment plants Structure firesWoodworking facilities Wind erosion


1-4

• Insignificant sources of PM10 and PM2.5:

- Architectural and industrial surface coatings;

- Solvent degreasing;

- Asphalt paving and roofing;

- Traffic markings;

- Glass making operations; and

- Prescribed and wild fires (not including agricultural burning).

• Data not available and not feasible to collect under the scope of thisproject:

- Lumber manufacturing;

- Bus terminals;

- Tortillerias; and

- Meat by-products processing.

Bus terminals and tortilleria establishments are included in the scope of W.O. #57

in order to identify the location of all of these sources operating in Cd. Juárez. Also, even though

some maquiladora industries may be considered as small industrial sources as defined for this

project (i.e., emit less than 100 tpy of PM10, PM2.5, or VOC), these were not included in the area

source inventory due to the difficulty in obtaining data for these facilities (i.e., most operating

and emissions data are confidential). Also, many maquiladoras have ceased operations so the

significance of their emissions during the year 2002 has diminished as compared to previous

years.

1.3 Organization of this Report

The remainder of this report is organized as follows:

• Section 2.0 contains details on the survey of small industrial sourcesconducted under W.O. #55. The survey methodology is described, andresults are presented.

• Section 3.0 contains details on the emissions inventory of all sources(small industrial and areawide) covered by this project. The emissionsinventory methodology is described, and results are presented.

• Section 4.0 lists the references used to conduct this project.


1-5

• Appendix A contains a copy of the blank survey forms in both English andSpanish.

• Appendix B contains the detailed “Emission Inventory Forms” thatdescribe the methods, emission factors, assumptions, and calculations usedto estimate emissions for each source type.

In addition to this report, the following electronic files will be submitted to TCEQ as part of the

final deliverable under W.O. #55:

• Blank survey forms (Word format, English and Spanish);

• Survey database (Access format, English); and

• Emissions inventory spreadsheets (by source type, for each facility).


2-1

2.0 DATA COLLECTIONTable 2-1 lists the source types included in the area source inventory for Cd.

Juárez, and the sources of data used to estimate their emissions. As this table shows, the sources

of data used to estimate emissions fall into three broad categories:

• Data collected during the survey conducted especially for this project(indicated as “W.O. #55 Survey”); and

• Data collected from government agencies such as the Secretariat ofAgriculture, Livestock, Rural Development, Fisheries, and Food(Secretaría de Agricultural, Gandería, Desarrollo Rural, Pesca yAlimentación – SAGARPA); and

• Data collected for other projects such as the brick kiln testing project by ElPaso Electric Company (EPEC).

Details pertaining to collection of data from these sources, and the results of the

survey of small industries follow.

2.1 Survey of Selected Small Industrial Sources

A primary source of data used to estimate area source emissions resulted from a

survey conducted by ERG and IEI during March and April, 2003. The survey methodology and

results are discussed below.

2.1.1 Survey Methodology

The development of the Cd. Juárez area source survey began by first identifying

the source types to be surveyed from the overall list of source categories (Table 1-1). This was

accomplished in consultation with TCEQ staff, by considering the potential availability of data

from the individual sources, and the resources available to the project. The overall goal was to

survey as many of the facilities as possible, with a minimum of 20% of the total facilities within

each source category being surveyed.


2-2

Table 2-1. Sources of Data Collected for the Area Sources Emissions Inventoryfor Ciudad Juárez

Source Type Source(s) of DataAsphalt batch plantsAutobody shopsBakeriesConcrete batch plantsDry cleanersGas and diesel marketingGraphic artsIce plantsLiquefied petroleum gas marketingLandfillLumber manufacturingMetalworking foundriesQuarriesRestaurantsStreet vendorsWastewater treatment plantsWoodworking facilities

W.O. #55 Survey

Grain millsAgricultural tillingAgricultural burningCattle feedlotsFertilizer applicationLivestock ammoniaPesticide application

SAGARPA, 2002

Border crossings BTS, 1999; CBP, 2003Brick kilns ETM, 2003; EPEC, 2002Construction activities IMIP, 2000Consumer solventsDomestic ammonia

INEGI, 2000

Fuel combustion – commercialFuel combustion – residential

ERG, 2003; SENER, 2000a;SENER, 2000b; SENER, 2000c

Open burning García Gutiérrez et al., 2001Paved and unpaved road dust TransEngineering, 2003Structure fires INEGI, 2001Wind erosion SAGARPA, 2002; IMIP, 2003


2-3

To increase the probability of a successful survey, the Cd. Juárez Department of

Ecology (Dirección de Normatividad Ambiental – DNA) mailed a letter to all industrial trade

associations with members representing the types of facilities to be surveyed. The letter

explained the background of the project, and asked for cooperation from the association and its

members when approached by a survey team member.

A list of potential sources was generated by reviewing the results of a survey

conducted in 1996, from which a GIS database of source locations had been developed.

Spreadsheets were generated that listed the facility name, address, telephone number, and contact

person (i.e., as much of this information as was available). The current Cd. Juárez telephone

book was examined to identify (1) which facilities from the 1996 survey were listed (and most

likely still in operation), (2) missing phone numbers of facilities from the 1996 survey, and (3)

new facilities that had not been included in the 1996 survey. The spreadsheets were updated

with this information resulting in a list of the “total population” of each source type. From the

total population, a random selection process was applied to target at least 20% of the total

facilities to be surveyed. Of the 20% to be surveyed, as many as possible were telephoned to

confirm if they were in operation during 2002, and perceive their willingness to provide

information during a site visit. Appointments were made if possible to make the survey more

time efficient.

Survey forms were developed (in English and Spanish) to collect the necessary

data for each type of facility. General operations and equipment forms, as well as facility-

specific forms (e.g., for dry cleaners, graphic arts, autobody shops, etc.) were developed. The

general operations and equipment forms are as follows (Appendix A contains a full set of the

English and Spanish forms):

• General Facility Information;

• General Equipment Information;

• Air Pollution Control Equipment;

• Fixed and Floating Roof Storage Tanks;

• Open Process Tanks;


2-4

• Internal Combustion Engines;

• Boilers and Heaters; and

• Storage Piles (Outside Storage).

A one-day training session was held to review the forms with the survey staff, and

ensure that the survey staff understood the minimum requirements when filling out the forms.

The survey was conducted during the weeks of March 16 through 28, and April 6 through 18,

2003, with assistance from staff from the DNA and the Municipal Institute of Investigation and

Planning (Instituto Municipal de Investigación y Planeación - IMIP). Survey staff visited the

facilities targeted from the random selection process, and completed the applicable forms by

filling in as much information as could be collected by hand.

Also, survey staff made observations of open burning that occurred in the area

while driving to conduct surveys of other sources. If survey staff observed open burning at any

time, the observation was recorded on an open burning form. These data were used to validate

the open burning emissions inventory (i.e., observations confirmed that open burning does occur,

what is burned, and why other means of disposal are not used).

Figure 2-1 shows the number of facilities identified as the total population of

sources, and the number of facilities within each source category for which a survey was

performed. For example, 11 graphic arts facilities were surveyed out of a total population of 55

facilities. The percentage of the total population for most source types exceeded the 20%

targeted from the random selection process, with two exceptions:

• Dry cleaners: Even though 6 facilities were selected for a survey (i.e., 22%of 27 known to be in operation), only 4 could actually be surveyed (i.e.,15% of 27); and

• Lumber manufacturing: Even though 5 facilities were selected for thesurvey (i.e., actually 100% of the facilities thought to be operating), 2were not operating at the time of the survey, and 3 others were also listedunder the “Woodworking” category (i.e., these were actually distributioncenters for lumber, and had no air emissions).

Cd. Juárez A

rea Source Emissions Inventory

2-5Final, A

ugust 2003

Figure 2-1. Number of Facilities Included in the Ciudad Juárez Area Source Survey

7.3

13 1

11

13

4

13

5

25

1 2 0

5

5

7

0

10

20

30

40

50

60

70

Aspha

lt Batc

hing

Autobo

dyBak

eries

Concre

te Batc

hing

Dryclea

ners

Found

ries

Bas/D

iesel

Marketi

ngGrap

hics

Ice Plan

ts

LPG M

arketi

ngLa

ndfill

Lumbe

r Man

ufactu

ring

Quarrie

sRes

tauran

ts

Street

Vendo

rs x 1

00

Wastew

ater T

reatm

ent

Woodw

orking

Tota

l Pop

ulat

ion

(Num

ber o

f Fac

ilitie

s)

Num ber of Facilities SurveyedNum ber of Facilities Not Surveyed


2-6

2.1.2 Data Compilation and Quality Assurance

After the forms were completed, they were quality assured (QA’d) in the

following manner:

• The handwritten forms (in Spanish) were entered into Microsoft Wordformat (in Spanish). This was believed to be an important step in order toallow the on-site interface with the survey staff, and correct any problemswith legibility, missing values, or other issues that may occur whencreating electronic files of the data.

• The handwritten forms were compared to the Word file as transcribed bythe word processor. Any errors that were found were corrected.

• A unique facility identification number was assigned to each facility bywriting the number on the “General Facility” form, and all associatedforms for that unique facility (e.g., DRYC-001 for dry cleaning facility #1;AUTO-004 for autobody shop #4; and, REST-007 for restaurant #7).

• The Word forms were entered into a Microsoft Access database (inEnglish), and then approximately 50% of the information (mainly thenumbers) on the Word forms was checked against the entries in thedatabase. Any errors that were found were corrected.

• Queries were developed, and output files were imported into MicrosoftExcel spreadsheets to assist with calculation of emissions.

(The Word files in Spanish, and the Access database in English have been provided to TCEQ.)

2.2 Other Data Collection Activities

Data for several source categories were obtained from other sources (not

surveyed). The main source of information collected for agricultural activities such as

agricultural acres by crop type, livestock population, and pesticide application was SAGARPA.

Also, the National Institute of Statistics, Geography, and Computing (Instituto Nacional de

Estadística, Geografía e Informática – INEGI) and the Secretariat of Energy (Secretaría de

Energía) provided valuable information related to population and fuel production, sales, and

distribution. All sources of data are contained within the reference section of this report (Section

4.0).


2-7

2.3 Conclusions and Recommendations

The survey of small industrial sources met the objectives of increasing knowledge

and collecting facility-level data for these smaller industries previously not inventoried. A

representative sample of facilities in each category was obtained for all but two (i.e., dry cleaners

and lumber manufacturing). While information on location and overall (annual) production was

obtained for most facilities, equipment- and/or process-level data were generally either not

available or not provided by the facility person contacted.

Based on the experiences of the survey team, some recommendations are made

that may improve the outcome of the survey should this project be revised in the future:

• Increase the number of facilities surveys while focusing on only the sourcecategories having the greatest benefit to the air quality study. For example, itmay be more efficient to survey primarily particulate matter sources, orprimarily VOC sources, but not both, especially if project resources areconstrained.

• Examine the feasibility of supplemental data collection techniques. Forexample, mailing out questionnaires prior to the field survey may facilitatebetter cooperation within the industrial community. Also, workshops could beheld prior the survey to educate the businesses, and the public.

• Provide more training of survey staff. Although the training for this W.O. #55survey was adequate, more extensive training would likely have resulted infewer errors on the survey forms (and less QA time). Also, having a betterunderstanding of the specific emissions inventory methods will give thesurvey staff the background more accurately answer questions asked by thebusiness, and would allow them to conduct a more comprehensive survey.


3-1

3.0 AREA SOURCE EMISSIONS INVENTORYThe area source emissions inventory for Cd. Juárez was developed using the data

collected during a field survey, and from other sources as described in Section 2.2, above. The

best available emission estimation methods were chosen based upon recommended methods

from U.S. EPA, the Emissions Inventory Improvement Program (EIIP), and other sources.

Details pertaining to the methods and data used, and the emissions inventory results follow.

3.1 Methodology

Table 3-1 summarizes the methods used for each small industry and areawide

source category in the Cd. Juárez inventory. This table lists the basic methodology used, the

types(s) and source(s) of activity data used, and the source(s) of any emission factors used for

each source category. The “Emission Inventory Forms” located in Appendix B contain details

pertaining to the specific methods, activity data, emission factors, assumptions, and sample

calculations are provided for each source category.

3.1.1 Annual Emissions

The general methodology used to estimate annual emissions for all facilities

follows the following fundamental emission estimating equation:

−××=100

1 CEEFAE

Where:

E = Emission rate;A = Activity rate (e.g., throughput, population, etc.);EF = Emission factor (e.g., pound of pollutant per activity rate); andCE = Control efficiency (%).

Some calculations were much more complicated than is implied by this general

equation. For example, the wind erosion equation (WEQ) required that various data (e.g.,

precipitation, vegetation type, etc.) be applied within an empirical equation that was then used to

calculate an emission factor. Also, many unit conversions were made in order to use various

combinations of emission factors and activity data with different units.

Cd. Juárez A


3-2Final, A

ugust 2003

Table 3-1. Methodology Matrix for the Ciudad Juárez Area Sources Emissions Inventory

Category Name Basic Methodology Type(s) of Activity Data Source(s) of Activity DataSource(s) of Emission

FactorAgricultural Tilling Emission factors Acreage tilled, number of hectare

passes and tilling period by crop typeSAGARPA, Juárez regional office ASM, Section 9.6

Agricultural Burning Emission factors Acreage burned, fuel loadings, timeperiod of burning

SAGARPA, Juárez regional office AP-42, Section 2.5

Asphalt Manufacturing Emission factors Asphalt usage, fuel usage W.O. #55 Survey EIIP, Vol. II, Chap. 14;AP-42, Section 11.1

Autobody Shops Material balance Paint and solvent usage W.O. #55 Survey Not applicableBakeries Emission factors Bread production, fuel consumption W.O. #55 Survey EIIP, Vol. III;

AP-42, Section 1.4Border Crossings MOBILE5-JuárezII,

version 5a.1Vehicle counts, wait times U.S. Customs Service MOBILE5-JuárezII model

Brick Kilns Emission factors Brick production Special study sponsored by TexasCouncil on EnvironmentalTechnology

Special study sponsored byEPEC

Cattle Feedlots Cattle populationstatistics, emissionfactors

Cattle population, slaughter estimate SAGARPA, Juárez regional office EIIP, Vol. IX

Concrete Plants Emission factors Concrete production W.O. #55 survey AP-42, Section 11.12Construction Activities Emission factors Construction area IMIP ASM, Section 8.9Consumer Solvents Per capita emission

factorPopulation INEGI EIIP, Vol. III, Chap. 5

Domestic Ammonia Per capita emissionfactor

Population, infant population, pet ratios INEGI; ASM, Section 11.6 ASM, Section 11.6

Dry Cleaning Material balance Solvent usage W.O. #55 survey Not applicableFertilizer Application Emission factor Fertilizer usage SAGARPA, Juárez regional office Battye et al., 1994;

AP-42, Section 9.2.1Foundries Emission factors Quantity of metal processed W.O. #55 survey AP-42, Sections 12.8,

12.10, and 12.13Fuel Combustion –Commercial –Distillate

Emission factors Distillate fuel usage and national/localemployee statistics for commercialsector

Fuel balance conducted forMexico NEI; INEGI

AP-42, Section 1.3

Fuel Combustion –Commercial – LPG

Emission factors State level LPG usage andnational/local employee statistics forcommercial sector


AP-42, Section 1.5

Cd. Juárez A


3-3Final, A

ugust 2003

Table 3-1. Continued


FactorFuel Combustion –Commercial – NaturalGas

Emission factors Natural gas usage for commercialsector


AP-42, Section 1.4

Fuel Combustion –Commercial –Residual

Emission factors Residual fuel usage in commercialsector, national and local employeestatistics for the commercial sector


AP-42, Section 1.3

Fuel Combustion –Residential – LPG

Emission factors LPG usage, housing statistics Fuel balance conducted forMexico NEI; INEGI

AP-42, Section 1.5

Fuel Combustion –Residential – NaturalGas

Emission factors Natural gas usage Fuel balance conducted forMexico NEI; INEGI

AP-42, Section 1.4

Fuel Combustion –Residential – Wood

Emission factors Wood consumption, housing statistics Fuel balance conducted forMexico NEI; INEGI

AP-42, Section 1.10

Gas/Diesel Marketing Emission factors Gasoline sales W.O. #55 survey AP-42, Section 5.2Grain Mills Emission factors Annual production statistics SAGARPA, Juárez regional

office; W.O. #55 surveyAP-42, Section 9.9

Graphic Arts Material balance Ink usage W.O. #55 survey Not applicableIce Plants Material balance Ammonia usage W.O. #55 survey Not applicableLandfill Emission factors Quantity of waste dumped, truck VMT W.O. #55 survey AP-42, Sections 11.9,

13.2.1, 13.2.2, and 13.2.4Livestock Ammonia Livestock population

statistics and emissionfactors

Livestock population, cattle population SAGARPA, Juárez regionaloffice; INEGI

ASM, Section 9.5; Battye etal., 1994

LPG Marketing Emission factors LPG sales W.O. #55 survey ASM, Section 7.3Open Burning Estimate using per

capita waste generationrates and defaultburning percentages

Population, combustible content inwaste

INEGI, 1999; Special studyconducted for the inventory ofdioxins and furans in Mexico;INE/SEMARNAT

EIIP, Vol. III, Chap. 16

Paved Road Dust Emission factors Population, per capita VKT, paved andunpaved VKT split, silt loading,precipitation data

INEGI; Task conducted for theMexico NEI; Special studysponsored by TCEQ; NCDC

AP-42, Section 13.2.1;ASM, Section 11.3

Pesticide Application Emission factors Pesticide usage, pesticidecharacteristics

SAGARPA, Juárez regionaloffice; OSHA MSDS

AP-42, Section 9.2.2

Quarries Emission factors Quantity of rock crushed W.O. #55 survey AP-42, Sections 11.19.2and 13.2.4

Cd. Juárez A


3-4Final, A

ugust 2003

Table 3-1. Continued


FactorRestaurants Emission factors Amount of meat cooked, fuel

consumptionW.O. #55 survey Special study sponsored by

CICAStreet Vendors Emission factors Amount of meat cooked, fuel

consumptionW.O. #55 survey Special study sponsored by

CICAStructure Fires Emission factors Housing statistics, number of fires INEGI ASM, Section 11.2Unpaved Road Dust Emission factors Population, per capita VKT, paved and

unpaved VKT split, silt content, soilmoisture, precipitation data

INEGI; Task conducted for theMexico NEI; Special studysponsored by TCEQ; NCDC

AP-42, Chap. 13.2.2; ASM,Section 11.4

Waste WaterTreatment Plants

Emission factors Quantity of wastewater treated,quantity of fuel used

W.O. #55 survey ASM, Section 10.3; AP-42,Section 3.3

Wind Erosion USDA wind erosionequation

Land acreage by crop, unpaved vacantlot area, meteorological data

SAGARPA, Juárez regionaloffice; Map and database fromIMIP for year 2000; NCDC

ASM, Section 11.5

AP-42 = Compilation of Air Pollutant Emission Factors - Volume I: Stationary Point and Area Sources, Fifth Edition (U.S. EPA, 1995)ASM = Area Source Manual, Volume V, from the document series Mexico Emissions Inventory Program Manuals (Radian, 1997)CICA = Centro de Información Sobre Contaminación del Aire Para la Frontera entre EE. UU. Y México (U.S.-Mexico Border Information Center on Air Pollution)EIIP = Emission Inventory Improvement ProgramEPEC = El Paso Electric CompanyIMIP = Instituto Municipal de Investigación Planeación (Municipal Institute of Investigation and Planning)INE = Instituto Nacional de Ecología (National Institute of Ecology)INEGI = Instituto Nacional de Estadística, Geografía e InformáticaLPG = liquefied petroleum gasMSDS = material safety data sheetsNCDC = National Climatic Data CenterNEI = National Emissions Inventory, from the draft document Mexico National Emissions Inventory, 1999 (ERG, 2003)OSHA = Occupational Safety and Health AdministrationSAGARPA = Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca, y Alimentación (Secretariat of Agriculture, Livestock, Rural Development, Fisheries, and Food)SEMARNAT = Secretaría de Medio Ambiente y Recursos Naturales (Secretariat of the Environment and Natural Resources)SENER = Secretaría de Energía (Secretariat of Energy)USDA = United States Department of AgricultureVKT = vehicle kilometers traveledVMT = vehicle miles traveled


3-5

3.1.2 Ozone-Season Daily Emissions

For industrial sources, daily, weekly, and monthly operating schedules (obtained

during the survey) were used to estimate daily emissions during the ozone season (May through

October; 184 days). For area sources, monthly activity was used (e.g., SAGARPA provided

months when agricultural tilling occurs) to estimate emissions during the active months, and for

an average day during an ozone-season month.

Examples of the various techniques used to calculate ozone-season daily

emissions are as follows:

• Annual emissions/365;

• Annual emissions/Number of days of operation in the year; and

• [(Annual emissions) × (Percentage of annual operation within the mostactive O3 season month)]/Number of days in the most active O3 seasonmonth.

The specific techniques used to estimate ozone-season daily emissions for each source type are

shown on the Emission Inventory Forms located in Appendix B.

3.2 Quality Assurance

Several QA steps were conducted during the emissions inventory development

process. These include data entry checks, review of calculation spreadsheets to ensure that

equations were performing correctly, and manual checks of results to ensure that results were

correct. The specific QA steps that were conducted include the following:

• Spreadsheets of imported data were checked against the data in thedatabase to ensure that 100% of the data were imported correctly. Allfacility ID numbers and numbers of lines of data were compared betweenthe database and the spreadsheets. All facility- and equipment-level fueluse and production quantities were compared. Any errors that were foundwere corrected.

• All the formulas and calculated results within the spreadsheets werereviewed. Hand calculations were performed of all results to ensure 100%correctness of all emissions estimates. Any errors that were found werecorrected.


3-6

• Summary tables were developed, and the totals were checked against thetotals in the spreadsheets. Any errors that were found were corrected.

3.3 Results

Table 3-2 shows the 2002 annual (tons/year) and ozone-season daily (lbs/day)

emissions estimates for the small industrial sources. It is important to reiterate that the emissions

estimates shown in Table 3-2 cover only a limited number of facilities within a select number of

small industrial categories. The second part of this project conducted under W.O. #57 includes

development of a GIS database using results of this W.O. #55 survey and emissions inventory.

The facility-level emissions developed under W.O. #55 were extrapolated across the entire

population of sources, and were spatially allocated using either supplemental survey information

(for the small industries) or surrogate allocation factors (for the areawide sources). See the report

entitled Development of GIS-based Maps for the Ciudad Juárez Area Source Emission Inventory

Project (PNEG, 2003) for details.

Table 3-3 shows the 2002 annual (tons/year) and ozone-season daily (lbs/day)

emissions estimates for the areawide sources. Also, the relative contributions by source category

for the areawide sources are shown in Figure 3-1 for NOx and SOx, Figure 3-2 for VOC and NH3,

and Figure 3-3 for PM10 and PM2.5. Because the Table 3-3 results represent a more

comprehensive accounting of all areawide sources (as compared to the small industrial sources

shown on Table 3-1) some observations can be made regarding the various categories and their

contribution to the total emissions from areawide sources:

• Fuel combustion from the residential sector emits the most NOx, CO, andVOC emissions. However, it is possible that the emissions from residentialwood combustion may be overestimated. These emissions were estimatedbased on a national fuels balance conducted for the Mexico NEI using dataprovided by SENER. Therefore, TCEQ may want to update the emissionsfrom this category if the quantity of wood attributed to the residentialsector is modified by SENER in the future.


3-7

Table 3-2. Emissions From Small Industrial Sources in Ciudad Juárez – 2002(tons/year and lbs/day)

Source Category

Numberof

Facilities NOx SOx CO VOC PM10 PM2.5 NH3

Annual (tons/year)Asphalt 1 9.5 32.6 23.5 4.9 248.5 15.0Concrete 2 4.7 3.2Foundries 3 0.2 0.5 13.8 0.1 8.0 5.7Woodworking 5 0.0Wastewater Treatment 5 0.4 0.0 0.1 1,352.9 0.0 0.0Quarries 1 1.4 0.3Landfill 1 6.0 3.3Autobody Refinishing 25 3.2Drycleaners 4 33.4Bakeries 6 0.0 0.0 1.3Gas/Diesel Marketing 13 198.1LPG Marketing 3 237.5Restaurants 7 0.4 16.7 0.5 4.0 3.2Street Vendors 73 0.3 15.9 1.0 8.0 6.4Ice Plants 1 1.1Graphic Arts 11 1.4Grain Mills 2 684.2 0.3

Ozone Season 2002 (lbs/day)Asphalt 1 71.4 243.9 176.6 37.8 1,860.0 113.3Concrete 2 30.4 20.6Foundries 3 1.4 3.8 106.0 0.8 62.4 44.2Woodworking 5 0.0Wastewater Treatment 5 2.2 0.2 0.5 7,488.8 0.2 0.2Quarries 1 56.4 11.3Landfill 1 38.7 21.0Autobody Refinishing 25 43.9Drycleaners 4 215.9Bakeries 6 0.2 0.2 6.9 0.0 0.0Gas/Diesel Marketing 13 1,096.0LPG Marketing 3 1,314.2Restaurants 7 2.2 91.5 2.7 21.9 17.5Street Vendors 73 2.0 104.2 6.3 50.7 40.5Ice Plants 1 14.7Graphic Arts 11 10.8Grain Mills 2 3,750.3 1.7


3-8

Table 3-3. Emissions From Areawide Sources in Ciudad Juárez – 2002(tons/year and lbs/day)

Source Category NOx SOx CO VOC PM10 PM2.5 NH3

Annual (tons/year)Brick Kilns 28.5 1,682.7 371.5 269.8 269.8Open Burning 34.5 5.8 489.0 43.6 193.5 177.2Fertilizers 34.1Pesticides 3.4Agricultural Burning 168.0 14.0 18.0 17.0Agricultural Tilling 581.1 128.8Feedlots and Dairies 1,011.6 151.7Livestock 2,536.2Structural Fires 0.1 5.2 0.3 0.3 0.3Wind Erosion 3,687.8 817.6Fuel Combustion –Commercial and Institutional 252.8 833.9 82.1 7.9 18.2 12.1Fuel Combustion –Residential 973.1 52.2 28,915.9 6,629.3 3,843.8 3,701.5Construction 77.4 16.1Consumer Solvents 4,781.6Domestic Ammonia 1,118.7Paved Roads 3,689.6 882.3Unpaved Roads 14,981.2 2,189.6Border Crossings 128.2 9,339.1 814.6

Ozone Season (lbs/day)Brick Kilns 209.0 12,327.0 2,721.0 1,976.0 1,976.0Open Burning 189.2 31.5 2,679.7 238.7 1,060.3 971.0Fertilizers 186.7Pesticides 18.4Agricultural Burning 12,898.0 1,075.0 1,410.0 1,322.0Agricultural Tilling 9,495.0 2,105.0Feedlots and Dairies 5,545.0 832.0Livestock 13,900.6Structural Fires 0.7 28.7 1.9 1.9 1.7Wind Erosion 20,207.1 4,479.1Fuel Combustion –Commercial and Institutional 1,385.0 4,569.0 450.0 43.0 100.0 66.0Fuel Combustion –Residential 5,332.0 286.0 158,443.0 36,325.0 21,062.0 20,282.0Construction 424.0 88.0Consumer Solvents 26,207.5Domestic Ammonia 6,131.4Paved Roads 19,896.0 4,758.0Unpaved Roads 152,230.3 22,173.1Border Crossings 714.4 49,360.9 4,313.4


3-9

Figure 3-1. Relative Contribution of 2002 NOx and SOx Emissions fromAreawide Sources in Ciudad Juárez

NOx

Fuel Combustion (Residential)

69%

Brick Kilns2%Border Crossings

9%Open Burning

2%Fuel Combustion

(Commercial)18%

SOx

Fuel Combustion (Commercial)

93%


6%

Open Burning1%


3-10

Figure 3-2. Relative Contribution of 2002 VOC and NH3 Emissions fromAreawide Sources in Ciudad Juárez

VOC

Consumer Solvents38%


52%

Brick Kilns3%Border Crossings

6%Other1%

NH3

Livestock 69%

Fertilizers 1%

Domestic NH330%


3-11

Figure 3-3. Relative Contribution of 2002 PM10 and PM2.5 Emissions fromAreawide Sources in Ciudad Juárez

PM2.5

Unpaved Roads26%

Paved Roads11%


44%

Wind Erosion10%

Brick Kilns3%Other

6%

PM10

Unpaved Roads52%

Paved Roads13%


14%

Wind Erosion13%

Feedlots and Dairies 4%

Other4%


3-12

• Fuel combustion from the commercial sector emits the most SOx emissionsdue mainly to residual and distillate fuels used by the commercial businesses.It is possible that some portion of the fuel combustion emissions from thecommercial sector could also be counted within the emissions estimates of thesmall industries shown on Table 3-1, which would result in double-countingof emissions. However, specific fuel types and quantities used during 2002were not provided by most small industries, so there was no feasible way tosubtract these quantities from the fuel quantities used in the area sourcecommercial fuel combustion category.

• Ammonia emissions are mainly from livestock (69% of the total inventoryof area sources).

• Unpaved road dust is responsible for the majority of PM10 emissions,followed by wind erosion and paved road dust (each 13% of the total).Residential fuel combustion (mainly wood) emits the most PM2.5emissions (44% of the total), followed by unpaved road dust (26%).Paved road dust and wind erosion are responsible for 11% and 10%,respectively, of the total PM2.5 emissions from areawide sources.

3.4 Conclusions and Recommendations

The Cd. Juárez area source emissions inventory focused on small industries and

areawide sources of particulate matter and VOCs. This project was the first significant effort to

survey these types of sources in Cd. Juárez and develop an emissions inventory from the source-

specific data collected during the survey.

Although detailed questions were asked during the survey in order to collect

information on fuel types and quantities, as well as process- and equipment-level activity, most

facilities would (could) only provide plant-level production information. Thus, generally only

plant-level emissions could be estimated for most of the small industrial facilities. Based on the

experience of the project team, the following recommendations are made in order to improve the

quality of the emissions inventory for these area sources in the future:

• Implement a strategy for updating the inventory in the future. For example,the DNA survey staff could conduct mini-field surveys on a periodic basis tokeep the database of sources up to date.

• Incorporate future changes to estimation methods for specific sources such asunpaved roads (expected to updated by U.S. EPA in the near future), and winderosion (new methodology is expected to be published by the WesternRegional Air Partnership [WRAP] in the future).


4-1

4.0 REFERENCESANAFAPYT, 2003. National paint sales provided by the National Association of Paint and InkManufacturers.

ARB, 1999. PM Size Fractions from the California Emission Inventory Development andReporting System (CEIDARS). Updated March 24, 1999. Internet address:http://arbis.arb.ca.gov/emisinv/speciate/PMSIZEFRList.htm.

Battye, R., W. Battye, C. Overcash, and S. Fudge, 1994. Development and Selection ofAmmonia Emission Factors. Final report. Prepared for U.S. Environmental Protection Agency,Atmospheric Research and Exposure Assessment Laboratory by EC/R Incorporated, Durham,North Carolina.

BTS, 1999. U.S.-Mexico Border Crossing Data. Bureau of Transportation Statistics.Washington, D.C. Internet address: http://www.bts.gov/itt/cross/mex.html.

CBP, 2003. Border Wait Times. U.S. Department of Homeland Security, Customs & BorderProtection. Internet address: http://forms.customs.gov/nemo/bordertimes/bordertimes.asp.

CICA, 1999. Emissions from Street Vendor Cooking Devices (charcoal grilling). Prepared forthe U.S.EPA, Office of Air Quality Planning and Standards, and the U.S. – Mexico BorderInformation Center on Air Pollution (Centro de Informacion Sobre Contaminacion de Aire –CICA). EPA – 600/R-99-048. June.

EIIP, 1996. Consumer and Commercial Solvent Use. Volume III, Chapter 5. EmissionInventory Improvement Program, Area Source Committee. August. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii05.pdf.

EIIP, 1999. Baked Goods at Commercial/Retail Bakeries. Volume III, Area Source MethodAbstracts. Emission Inventory Improvement Program, Area Source Committee. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume03/bakeries.pdf

EIIP, 2001a. Open Burning. Volume III, Chapter 16. Emission Inventory ImprovementProgram, Area Source Committee. January. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii16_apr2001.pdf.

EIIP, 2001b. Structure Fires. Volume III, Chapter 18. Emission Inventory ImprovementProgram, Area Source Committee. January. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii18_apr2001.pdf.

EIIP, 2003b. Fugitive Dust from Beef Cattle Feedlots. Volume IX. Emission InventoryImprovement Program. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume09/feedlots.pdf.


4-2

EIIP, 2003a. Fugitive Dust from Agricultural Tilling. Volume IX. Emission InventoryImprovement Program. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume09/agtilling.pdf.

EIIP, 2003c. Fugitive Dust from Mining and Quarrying. Volume IX. Emission InventoryImprovement Program. Internet address:http://www.epa.gov/ttn/chief/eiip/techreport/volume09/minqur3.pdf.

EPEC, 2002. Source Test Report for Testing on Brick Kiln. Prepared for El Paso ElectricCompany by URS Corporation. June 6, 2002.

ERG, 2002. MOBILE5-Juárez II, Version 5a.1. Prepared for the Texas Commission onEnvironmental Quality by ERG, Inc., Austin, Texas.

ERG, 2003. Mexico National Emissions Inventory, 1999, Draft. Appendix A: Mexico NationalFuel Balance. Prepared for the Western Governors’ Association and the Technical AdvisoryCommittee by ERG, Inc., Sacramento, California. July 11.

ETM, 2003. Census Update of Brick Producers in Ciudad Juárez, Chihuahua. ETMConsultores, S.A. de C.V., Ciudad Juárez, Chihuahua. March 31.

García Gutiérrez, A., A. Rosas Domínguez, H.E. Velasco Saldaña, J. Gómez Perales, and G.G.Ramos Rodríguez, 2001. Report of the Situation and the Current Knowledge on the MainDioxins Sources and Emissions in Mexico. First English Draft. National Cent for EnvironmentalResearch and Training, Autonomous Metropolitan University, Iztapalapa Unit, Distrito Federal,Mexico. May 7.

GDF, 1998. Inventario de Emisiones, Zona Metropolitana del Valle de México, 1998. Preparedby the Government of the Federal District, the Secretariat of the Environment; the State ofMexico, Secretariat of Ecology; the Secretariat of the Environment and Natural Resources ofMexico; and the National Institute of Ecology, Mexico City, Mexico. January.

IMIP, 2000. Roadway Improvement Survey for Ciudad Juárez. Prepared for the Texas NaturalResource and Conservation Commission (TNRCC). Prepared by Instituto Municipal deInvestigación y Planeación, Ciudad Juárez, Chihuahua. December.

IMIP, 2003. Personal communication from Salvador Gonzalez-Ayala, Trans Engineering, andPaula Fields, ERG. July.

INEGI, 1999. Censos Económicos 1999. Prepared by the National Institute of Statistics,Geography, and Information.

INEGI, 2000. XII Censo General de Población y Vivienda, 2000. Prepared by the NationalInstitute of Statistics, Geography, and Information.


4-3

INEGI, 2001. Sistema para la Consulta del Anuario Estadístico – Edición 2001. Prepared bythe National Institute of Statistics, Geography, and Information.

NCDC, 2003. Mexico meteorological data. National Climatic Data Center, Asheville, NorthCarolina.

NREL, 2003. Power Technologies Data Book, 2003. Energy Analysis Office of the NationalRenewable Energy Laboratory. Internet address:http://www.nrel/gov/analysis/power_databook/.

PEMEX, 1997. Efecto del Gas LP en la ZMCM. Prepared by PEMEX-Gas y PetroquimicaBásica, Mexico City, Mexico.

PEMEX, 2002. PEMEX fuel specifications. Prepared by PEMEX Refinación. Provided byFrancisco Rangel. March 17.

PNEG, 2003. Development of GIS-based Maps for the Ciudad Juárez Area Source EmissionsInventory Project. Prepared for the Texas Commission on Environmental Quality. Prepared bythe Texas Commission on Environmental Quality. Prepared by the Paso del NorteEnvironmental Group, El Paso, Texas. August 24.

Radian, 1997. Mexico Emissions Inventory Program Manuals, Volume V B Area SourceInventory Development, Final. Prepared for the Western Governors' Association and theBinational Advisory Committee by Radian International, Sacramento, California. March.

Rodriguez, Mark, 2003. Personal communication with Mark Rodriguez, El Paso ElectricCompany, June 19, 2003.

SAGARPA, 2002. Response to Questionnaire sent by ERG to the SAGARPA, Juárez RegionalOffice. June, 2003.

SENER, 2000a. Balance nacional de energía 1999. Prepared by the Secretariat of Energy,Mexico City, Mexico.

SENER, 2000b. Prospectiva del mercado de gas LP 2000-2009. Prepared by the Secretariat ofEnergy, Mexico City, Mexico.

SENER, 2000c. Prospectiva del mercado de gas natural 2000-2009. Prepared by theSecretariat of Energy, Mexico City, Mexico.

TransEngineering, 2003. Estimation of Travel Demand and Vehicular Traffic Congestion ofMexican Urban Areas. Technical memorandum. Prepared for ERG, Inc., by TransEngineering,Inc., El Paso, Texas.


4-4

U.S. EPA, 1973. Air Pollution Engineering Manual (AP-40), Second Edition. U.S.Environmental Protection Agency, Office of Air Quality Planning and Standards, ResearchTriangle Park, North Carolina.

U.S. EPA, 1985. Compilation of Air Pollution Emission Factors (AP-42) – Volumes I and II:Stationary Point and Area Sources and Mobile Sources, Fourth Edition. U.S. EnvironmentalProtection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NorthCarolina.

U.S. EPA, 1991. Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Volume I: General Guidance for Stationary Sources. U.S.Environmental Protection Agency, Office of Air Quality Planning and Standards, ResearchTriangle Park, North Carolina.

U.S. EPA, 1995. Compilation of Air Pollution Emission Factors (AP-42) – Volume I:Stationary Point and Area Sources, Fifth Edition. U.S. Environmental Protection Agency,Office of Air Quality Planning and Standards, Research Triangle Park, North Carolina. January.Internet address: http://www.epa.gov/ttn/chief/ap42/.

U.S. EPA, 1999. Emissions and Prevention/Control Techniques for Automobile Body Shops inCuidad Juárez , Mexico. U.S. Environmental Protection Agency, Office of Air Quality Planningand Standards, Research Triangle Park, North Carolina. Internet address:http://www.epa.gov/ttn/catc/dir2/autobdye.pdf.

U.S. EPA, 2002a. User’s Guide to MOBILE6.1 and MOBILE6.2: Mobile Source EmissionFactor Model. U.S. Environmental Protection Agency. October. Internet address:http://www.epa.gov/otaq/models/mobile6/r02028.pdf.

U.S.EPA, 2002b. Preliminary Estimate of County-Level Transport Fraction Using Acreage-Weighted County Land Coverage Statistics, Draft. Thompson, G. Pace., Chatten, Cowherd.

Welch, 1997. Personal communication between Bill Welch (University of California, Riverside,College of Engineering – Center for Environmental Research and Technology) and Marty Wolf(Radian International).

Appendix A:

• Survey Forms in English• Survey Forms in Spanish

A-1

Ciudad Juárez Area Source Emissions Inventory

Air Pollution Control Equipment Year: 2002

FACILITY DESCRIPTION/LOCATION (From General Facility Information Form)Facility Name: Location Street and Number: Colonia:

CONTROL EQUIPMENT IDENTIFICATIONID number of this equipment: Description of this equipment: Discharge from this equipment goes into:

The atmosphere: OR Stack ID: OR Control Device ID:

CONTROL EQUIPMENT CHARACTERISTICSManufacturer: Type of Control Device (chose one from the following list)Afterburner Type: Catalytic Direct flame Fuel: IncineratorBaghouse Positive Pressure Negative Pressure Air/Cloth Ratio: m/sec

Cleaning Method: Fabric Material: Cyclone Type: Condenser Type: Mist EliminatorVapor Recovery Type: Flue GasOther Description:

CONTROL EQUIPMENT OPERATING CHARACTERISTICSNot available Maximum Flow Rate or Capacity: m3/secInlet Temperature: °C Outlet Temperature: °C Down Time: %Control Efficiency: % Source or Reference for Control Efficiency:

CAPTURE DEVICEHow are air emissions from the process vented to the control device (e.g., hood with fan, sock, etc.) : Capture Efficiency: % Source or reference for Capture Efficiency:

Name of Surveyor(s): Date of Survey: Notes:

A-2

CCiiuuddaadd JJuuáárreezz AArreeaa SSoouurrccee EEmmiissssiioonnss IInnvveennttoorryy

Autobody Shops Year: 2002


PRODUCTION INFORMATION:How many cars do you paint per week?

Partial Repairs: Average Maximum When? Minimum When?

Complete Repainting: Average Maximum When? Minimum When?

What type of record keeping is used to account for purchases of paint, solvent, materials, etc?

OPERATIONS INFORMATIONIf solvent washing is used, what kind of solvent(s) and how much are used?

Toluene litersXylene litersPetroleum Distillates liters

What is done with the solvents used?Left to evaporate Recovered and reused/recycled Recovered and disposed Put down a drain

Give the amount of paint used per week/month/year (circle one) for base coat or primer coats.lacquer litersenamel literswaterborne litersurethane litersother liters, describe

Page 1 of 2

A-3

Give the amount of paint used per week/month/year (circle one) for topcoats.acrylic lacquer litersacrylic enamel literswaterborne literspolyurethane litersother liters, describe

Give the amount of paint used per week/month/year (circle one) for clear coats.acrylic lacquer litersacrylic enamel literswaterborne literspolyurethane litersother liters, describe

Where is the paint you used manufactured/purchased?In Mexico / percentIn United States / percentOther / percent Where?

What type of spray gun do you use? If more than one, give percentage for each one.Standard air gun high-volume low-pressure (HVLP) Standard electric gun Other describe

How do you paint? If more than one, give percentage for each one.Open air Partial repainting jobs % Full car repainting %Enclosed booth Partial repainting jobs % Full car repainting %In shelter without booth Partial repainting jobs % Full car repainting %Under roof not enclosed Partial repainting jobs % Full car repainting %

What procedure do you use to clean up the spray guns and work area after job completion? Solvents used to clean spray guns: type of solvent

typical amount liters

WASTE GENERATION AND MANAGEMENTDo you generate waste? Quantities for: How disposed of?Rags: Yes No How many kilograms? Paint: Yes No How many liters? Clean up Solvent: Yes No How many liters? Sand Paper: Yes No How much? Paper: Yes No How much? Cans: Yes No How many? Other: Yes No How much?


Page 2 of 2

A-4


Bakeries Year: 2002


PRODUCTION INFORMATION:Annual bread production: (kg/yr)

Straight-dough %: %Sponge-dough %: %

Total: 100 %

Are these any trade association statistics available for this area? Yes No If yes, what is the name of the association or agency to contact? Any specific person to contact?


A-5


Boilers and Heaters Year: 2002


EQUIPMENT IDENTIFICATIONID of this equipment: Your name for this equipment: Air emissions from this equipment go into:

The atmosphere: OR Stack Device ID: OR Control Device ID:

EQUIPMENT CHARACTERISTICSManufacturer: Burner Type: Number of Burners: Maximum Heat Rating (e.g., Btu/hr): Firing Method: Describe what this boiler/heater is used for:

OPERATING SCHEDULE BY FUEL TYPEApproximate Percent Operation by Month

Input Fuel *(list) Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total

Natural Gas 24 7 20 20 20 20 20 20 100%

FUEL CHARACTERISTICSInput Fuel (list*) (Required) 2002 Fuel Usage Fuel Heat Content Fuel Sulfur Content Fuel Ash Content

Natural Gas 100 kl (kg or kl) 3.8 ×××× 1010 (J/kg or J/kl) (%) (%)

(kg or kl) (J/kg or J/kl) (%) (%)


* Common name of fuel


A-6


Charbroiling Restaurants Year: 2002


PRODUCTION INFORMATION:Quantity of beef cooked: kg per day/week/month (circle one)Quantity of chicken cooked: kg per day/week/month (circle one)Quantity of pork cooked: kg per day/week/month (circle one)Quantity of cooked: kg per day/week/month (circle one)

FUEL INFORMATION:Amount of charcoal used: (units) per hour/day/week/month (circle one)Amount of LPG: (units) per hour/day/week/month (circle one)Amount of wood used: (units) per hour/day/week/month (circle one)Amount of used: (units) per hour/day/week/month (circle one)


A-7


Dry Cleaning Year: 2002


PRODUCTION INFORMATION:Quantity of solvent used: liters/yearPerchloroethylene: %Petroleum Solvent: %Other solvent: % Name:

Total: 100 %

Quantity of solvent recycled (if any): liters/yearQuantity of solvent disposed (if any): liters/year


A-8


Fixed and Floating Roof Storage Tanks Year: 2002


TANK IDENTIFICATIONID of this tank: Your name for this tank: Air emissions from this tank go into:


TANK CHARACTERISTICSTank Design: Floating Roof (external) Floating Roof (internal) Fixed Roof Capacity (volume): liters, m3 Diameter: m Height: m

Shell Paint Color: Roof Paint Color: Shell Paint Condition: Good Fair Poor Roof Paint Condition: Good Fair Poor Roof Type: Pan Pontoon Double-deck Cone Dome Other Primary Shoe Seal Type:

Metallic Vapor Mounted Resilient Liquid Mounted Resilient Wiper Secondary Shoe Seal Type:

Shoe-mounted Wiper Rim-mounted Wiper Weather shield Other

OPERATING SCHEDULEApproximate Percent Operation by Month

MaterialStored* (list) Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total

Gasoline 5 5 7 10 10 10 11 11 10 7 7 7 100%

*Common name of fuel

INPUT MATERIALS BY PROCESS (Enter input material by process.)

Process Input Material (list*) Vapor Pressure Average Storage Temperature Annual ThroughputGasoline (kPa) (°°°°C) 10,440 (m3)

(kPa) (°C) (m3)

(kPa) (°C) (m3)

(kPa) (°C) (m3)

A-9


Gasoline/Diesel Marketing Distribution, and Storage Year: 2002


Stage I:What type of method is used to fill your storage tanks (splash filling, submerged filling, or submerged filling withvapor recovery)?

Stage II:Is vapor control used when dispensing fuel into motor vehicles (yes/no)?

Sales:What are annual gasoline sales? liters/yrWhat are annual diesel sales? liters/yrWhat percentage of gasoline and diesel is sold for the following uses:

Uses: % Automobiles % Commercial Vehicles % Industrial Use % Other (name)

What percentage of gasoline sales are Magna? Premium?

Source of Fuel:What bulk terminal is the source of your fuel(s): Name/Location:


A-10

CCiiuuddaadd JJuuáárreezz AArreeaa SSoouurrccee EEmmiissssiioonnss IInnvveennttoorryy General Equipment Information

(USE ONLY WHEN SPECIFIC EQUIPMENT FORMS ARE NOT APPLICABLE)Year: 2002


EQUIPMENT IDENTIFICATIONID of this equipment: Your name for this device: Air emissions from this equipment go into:


EQUIPMENT CHARACTERISTICSManufacturer: Describe this Equipment and what it is used for:

OPERATING SCHEDULE INPUT MATERIAL TYPEApproximate Percent Operation by Month

Process InputMaterial* (list) Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total

Sand 4 5 24 16.6 16.6 16.6 16.6 16.6 16.6 100%

AMOUNT OF INPUT MATERIAL(S)Input Material Annual Material Usage (units)

Sand 120,000 Mg

*Common name of material


A-11


General Facility Information Year: 2002

OWNERSHIP INFORMATIONCompany Name: Industrial Association:

FACILITY CONTACT/RESPONSIBLE PERSONPerson Name: Person Title/Role:

FACILITY DESCRIPTIONFacility Name: Number of employees working at the Facility:

Administrative, technical and executive: Workers, helpers, and other: Description of product(s) produced:

GEOGRAPHIC LOCATIONLocation Street and Number: Between: and Colonia: Mail Code: Telephone Number:

FACILITY OPERATING SCHEDULEApproximate Percent Operation by Month

Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total8 5 44 5 9 9 9 9 9 9 9 9 9 9 5 100%

100%


A-12


General Solvent and Solvent Degreasing Equipment Year: 2002

EQUIPMENT IDENTIFICATIONID of this equipment: Your name for this equipment: Air emissions from this equipment go into:


EQUIPMENT CHARACTERISTICSManufacturer: Describe what this equipment is used for: Degreaser Type: Batch Cold Cleaning: Batch Vapor Cleaning: In-Line:

OPERATING SCHEDULE BY SOLVENT TYPEApproximate Percent Operation by Month

Solvent Type*(list) Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total

Coating A 8 4 30 5 5 5 10 10 10 20 20 15 100%

Solvent B 6 4 20 10 10 10 10 25 25 10 100%

INPUT MATERIALS BY PROCESSSolvent Type (list*) Annual Material Usage (kl) Amount Disposed/Recycled (kl) Solvent Name Solvent Density (g/l)

Coating A 150 50 IPA 1000

Solvent B 200 0 MEK

*Common name of solvent/coating


A-13


Graphic Arts Year: 2002


PRINTING INFORMATIONWhat type of printing is done at this facility (check one)?

Rotogravure Flexography Offset Lithography Letterpress Screen Plateless

What type of product is printed (e.g., phone books, newspapers, etc.)? What type of substrate is used?

INK INFORMATIONWhat is the amount of ink used? kg or liters (circle one)What is the ink density? kg/litersWhat is the VOC content of ink used? wt% or vol% (circle one)

CLEAN-UP SOLVENT INFORMATIONWhat is the amount of clean-up solvent used? kg or liters (circle one)What is the clean-up solvent density? kg/litersWhat is the VOC content of the clean-up solvent? wt% or vol% (circle one)


A-14


Ice Plants (Ammonia Refrigeration) Year: 2002


PRODUCTION INFORMATION:Amount of ammonia used: (units) per week/month/year (circle one)Amount of ammonia purchased: (units) per week/month/year (circle one)


A-15


Internal Combustion Engines Year: 2002


ENGINE IDENTIFICATIONID of this engine: Your name for this engine: Air emissions from this engine go into:


ENGINE CHARACTERISTICSManufacturer: Describe this engine and what it is used for: Engine Type: Turbine: Reciprocating: Maximum Rated Capacity: kilowatts Average Load: %

OPERATING SCHEDULE BY FUEL TYPEApproximate Percent Operation by Month

Fuel* (list) Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec TotalDiesel 12 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

*Common name of fuel

FUEL CHARACTERISTICSInput Fuel (list*) (Required) 2002 Fuel Usage Fuel Heat Content Fuel Sulfur Content Fuel Ash Content

Diesel 100 kl (kg or kl) 3.8 ×××× 1010 (J/kg or J/kl) (%) (%)



* Common name of fuel


A-16


Landfill Year: 2002


WASTE INFORMATIONWhat is the quantity of waste landfilled? kg or m3 (circle one) per day/week/month/year (circle one)If quantity of waste is in volume units (m3), is this waste compacted or uncompacted? What is the composition of landfilled waste?

Residential solid waste %Commercial solid waste %Industrial solid waste %Construction debris %Other % Describe

VEHICLE INFORMATIONHow many trucks enter the landfill per hour/day/week/month (circle one)

Trucks with 4 wheels %Trucks with 6 wheels %Trucks with 8 wheels %Trucks with wheels %

100 %

How far do trucks travel in landfill? meters (average/truck)How many pieces of earth-moving equipment are located at the landfill? Describe types of earth-moving equipment (e.g., bulldozer, grader, etc.)

Describe movement of earth-moving equipment per hour of landfill operation or truck-load of waste dumped(e.g., two bulldozers make 10 passes [50 meters long] for each truckload of waste dumped).


A-17


LPG Marketing Distribution and Storage Year: 2002


PRODUCT INFORMATION:Composition of LPG:

Propane %Butane %

SALES:What are annual LPG sales? liters/yrWhat percentage of LPG is sold for the following uses:

% residential %commercial % industrial % other (name)

SOURCE OF FUEL:What distribution plant is the source of your LPG? Name/Location:


A-18


Open Process Tanks Year: 2002


TANK IDENTIFICATIONID of this tank: Your name for this tank: Air emissions from this tank go into:


TANK CHARACTERISTICSTank Manufacturer: Describe what this tank is used for: Tank Dimensions - Length: Width: Height: Tank Type: Agitator Method: Anti-Mist or Mist Inhibiting Methods:

OPERATING SCHEDULEApproximate Percent Operation by Month

InputMaterial* (list) Hours/Day Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec TotalWaste Water 24 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

INPUT MATERIAL(S)Input Material Annual Material Usage (units)

Waste Water 1,000 m3

*Common name of material


A-19


Open-Burning (Observations) Year: 2002

LOCATION INFORMATIONLocation Street and Number: Colonia:

BURN INFORMATION:What material is being burned?

Estimated quantity of material being burned? (units)Method of burning (e.g., burn barrel, pile, pit, etc.) Is burn location in an area with scheduled garbage pick-up?

Name of Surveyor(s): Date of Survey: Time Observed: Notes:

A-20


Storage Piles (Outside Storage) Year: 2002


STORAGE PILE IDENTIFICATIONID of this pile: Your name for this pile: Air emissions from this storage pile go into:


STORAGE PILE CHARACTERISTICSDescribe containment device (e.g., wall height, dome dimensions, none, etc.)

OPERATING SCHEDULE BY MATERIAL STOREDApproximate Percent Stored by Month

Material*Stored (list) Days/Week Weeks/Year Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total

Gravel 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

INPUT MATERIALS IN PILESMaterial Stored (list*) Annual Throughput Surface Area Moisture Content Silt Content

Gravel 2,044 (kg) 30 (m2) 5 (%) 7 (%)

(kg) (m2) (%) (%)

(kg) (m2) (%) (%)

(kg) (m2) (%) (%)

* Common name of material


A-21


Street Vendors Year: 2002


PRODUCTION INFORMATION:Quantity of beef cooked: kg per day/week/month (circle one)Quantity of chicken cooked: kg per day/week/month (circle one)Quantity of pork cooked: kg per day/week/month (circle one)Quantity of cooked: kg per day/week/month (circle one)

FUEL INFORMATION:Amount of charcoal used: (units) per hour/day/week/month (circle one)Amount of LPG: (units) per hour/day/week/month (circle one)Amount of wood used: (units) per hour/day/week/month (circle one)Amount of used: (units) per hour/day/week/month (circle one)


A-22


Waste Generation: Cd. Juárez Public Works Dept. Year: 2002

CD. JUÁREZ PUBLIC WORKS DEPARTMENT:Contact Name: Contact Title: Phone No:

WASTE INFORMATION:Are any per capita waste generation statistics available? (units)How much waste is landfilled? (units)How much waste is recycled? (units)How much waste is burned? (units)

How much of the city is served by schedule waste pick-up?


A-23


Wastewater Treatment Facilities Year: 2002


REQUIRED WASTEWATER TREATMENT INFORMATION:Can process flow diagrams be provided? What is the total quantity of wastewater treated per year? (units)

Which of the following process units are present (check all that apply).

Oil/water separator Flocculation tanksEquation basin pH adjustment tanksClarifier Surface impoundmentsAeration basin Air stripperAnaerobic sludge digester Steam stripperAerobic sludge digester

UNIT INFORMATION (Optional for each unit)What are dimensions of each process unit (i.e., height, width, depth, diameter, surface volume area)?

What is retention time for each process unit?

What are the influent, effluent, and recycle flow rates? Influent liters/hrEffluent liters/hrRecycle (if applicable) liters/hr

What is VOC concentration in influent and effluent?Influent liters/hrEffluent liters/hr


A-24

CCiiuuddaadd JJuuáárreezz IInnvveennttaarriioo ddee EEmmiissiioonneess ddee FFuueenntteess ddee ÁÁrreeaa

Almacenamiento y Distribución de Gasolina/Diesel Año: 2002

DESCRIPCIÓN DEL ESTABLECIMIENTO/UBICACIÓN(De la forma Información General del Establecimiento)Nombre del Establecimiento: Ubicación Calle y Número: Colonia:

Etapa I:Qué método es utilizado para llenar los tanques de almacenamiento (relleno splash, relleno sumergido, órelleno sumergido con recobro de vapor)?

Etapa II:Se utiliza control de vapor al descargo de combustible a vehículos motorizados (Si/No)?

Ventas:Cuales son las ventas anuales de gasolina? litros/añoCuales son las ventas anuales de diesel? litros/añoCual es el porcentaje de gasolina y diesel vendido por los siguientes usos:

Uses: % Automobiles % Vehículos Comerciales % Uso Industrial % Otro (nombre)

Qué porcentaje de venta de gasolina es Magna? Premium?

Fuente de Combustible:Qué teminal es la fuente para el combustible: Nombre/Ubicación:

Nombre del Inspector: Fecha del la Encuesta: Notas:

A-25


Almacenamiento y Distribución del Mercadeo LPG Año: 2002


INFORMACIÓN DEL PRODUCTOComposición de LPG:

Propano %Butano %

VENTAS:Cuales son las ventas anuales de LPG? litros/añoQue porcentaje de LPG es vendido por los siguientes usos:

% residencial %comercial % industrial % otro (nombre)

FUENTE DE COMBUSTIBLE:Qué planta de distribución es la fuente para su LPG? Nombre/Ubicación:


A-26


Artes Gráficas Año: 2002


INFORMACIÓN DE IMPRENTAQué tipo de imprenta hacen en el establecimiento (escojer uno)?

Rotograbado Flexografía Offset Lithography Impresión Tipográfica Pantalla Plateless

Qué tipo de producto se imprime (ejemplo, libros de teléfono, periódicos, etc.)? Qué tipo de substrato es utilizado?

INFORMACIÓN DE TINTACual es la cantidad de tinta utilizada? kg ó litros (escojer uno)Cual es la densidad de la tinta? kg/litrosCual es la cantidad de tinta utilizada? kg ó litros (escojer uno)

INFORMACIÓN DE SOLVENTE DE LIMPIEZACual es la cantidad usada de solvente para limpieza? kg ó literos (escojer uno)Cual es la densidad del solvente para limpieza? kg/litrosCual es el contenido VOC para el solvente de limpieza? wt% or vol% (circle one)


A-27

Ciudad Juárez Inventario de Emisiones de Fuentes de Área

Basureros Año: 2002


INFORMACIÓN DE DESECHOSCual es la cantidad desechos en basureros? kg ó m3 (escojer uno) por día/semana/mes/año)Si la cantidad de desechos está en unidad de volumen (m3), estos desechos son compactados o nocompactados? Cuál es la composición de desechos de basura?

Residuos solidos de basura %Residuos solidos comerciales %Residuos sólidos industrial %Basura de construción %Other % Describe

INFORMACIÓN VEHICULARCuantos camiónes entran al basurero por hora/día/semana/mes (escojer uno)

Camiónes con 4 llantas %Camiónes con 6 llantas %Camiónes con 8 llantas %Camiónes con llantas %

%

Cuál es la distancia que caminan los camiónes en el basurero? metros (promedio/camión)Cuantos equipos estan localizados en el basurero para mover tierra? Describir los tipos de equipo para mover tierra (ejemplo, buldozer, nivelador, etc.)

Describir el movimiento del equipo utilizado para mover tierra por hora del basurero (ejemplo, dos buldozershacen 10 pases [50 metros de largo] por cada carga de camión de desechos).


A-28

Ciudad Juárez Inventario de Emisiones de Fuentes de Área

Calderas y Calentadores Año: 2002


IDENTIFICACIÓN DEL EQUIPOID de este equipo: Su nombre para este equipo:

El material de salida de este equipo va para:La atmósfera: ID del Equipo de Chimenea: ID del equipo de control:

CHARACTERISTICAS DEL EQUIPOFabricante: Tipo de Quemador: Número de Quemadores: Medida Máxima de Calor (e.g., Btu/hr): Método de Quemador Describa el uso de éste calefactor/caldera:

CALENDARIO DE OPERACIÓN POR TIPO DE COMBUSTIBLEPorcentaje Aproximado de Operación al MesCombustible

de Entrada*(enlistar) Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Gas Natural 24 7 20 20 20 20 20 20 100%

CARACTERÍSTICAS DEL COMBUSTIBLECombustible de Entrada

(Enlistar*)(Requerido) 2002 Uso de

CombustibleContenido de Calorífico

del CombustibleContenido de Asufre

del CombustibleContenido de Ceniza

del Combustible

Gas Natural 100 kl (kg or kl) 3.8 ×××× 1010 (J/kg or J/kl) (%) (%)



* Nombre común del combustible


A-29


Campos Abiertos para Incendios (Observaciones) Año: 2002

INFORMACIÓN DE UBICACIÓNUbicación Calle y Número: Colonia:

INFORMACIÓN DE INCENDIO:Qué material está siendo quemado?

Cantidad estimado de material que se está quemando? (unidades)Método de incendio (ejemplo, barril quemador, pilotes, pozo, etc.) Está programado recolectoras de basura en la ubicación del incendio?

Nombre del Inspector: Fecha de la Encuesta: Hora Observada: Notas:

A-30


Equipo de Desengrasado y Solventes Año: 2002

IDENTIFICACIÓN DEL EQUIPOID de este equipo: Su nombre para este equipo: El material de salida de este equipo va para:

La atmósfera: Ó ID del Equipo de Chimenea: Ó ID del equipo de control:

CHARACTERÍSTICAS DEL EQUIPOFabricante: Describa este equipo y su uso: Tipo de Desengrasador: Limpieza Fría por Lote: Limpieza con Vapor por Lote: En Línea:

CALENDARIO DE OPERACIÓN POR TIPO DE SOLVENTEPorcentaje Aproximado de Operación al MesTipo de

Solvente*(enlistar) Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Recubrimiento A 8 4 30 5 5 5 10 10 10 20 20 15 100%

Solvente B 6 4 20 10 10 10 10 25 25 10 100%

PROCESO POR MATERIALES DE ENTRADATipo de Solvente

(Enlistar*) Uso Annual del Material (kl) Cantidad Reciclada (kl)Nombre del Solvente

(g/l) Densidad del SolventeRecubrimiento A 150 50 IPA 1000

Solvente B 200 0 MEK

* Nombre común del solvente/recubrimiento


A-31

CCiiuuddaadd JJuuáárreezz IInnvveennttaarriioo ddee EEmmiissiioonneess ddee FFuueenntteess ddee ÁÁrreeaaEquipos de Control de la Contaminación

AtmosféricaAño: 2002


IDENTIFICACIÓN EL EQUIPO DE CONTROLID de este equipo: Descripción de este equipo: La descarga de este equipo va para:


CARACTERÍSTICAS DEL EQUIPO DE CONTROLFabricante: Modelo del equipo (escojer de la siguiente lista)Post-quemador Typo: Catalítico Llama Directa Combustible: IncineradorCasa de Bolsas Presión Positiva Presión Negativa Relación Aire/Tela: m/sec

Método de Limpiesa: Material de Tela: Ciclón Tipo: Condensador Tipo: Eliminador de NieblaRecuperación de Vapor Tipo: Gas CombustibleOtro Descripción:

CARACTERÍSTICAS OPERATIVAS DEL CONTROL DE EQUIPONo disponible Tasa Máximo de Flujo o Capacidad: m3/secTemperatura de entrada: °C Temperatura de salida: °C Tiempo de paro : %Eficiencia de Control: % Fuente o Referencia para Eficiencia de Control:

EQUIPO DE CAPTURAComo son las emisiones al desfogar al equipo de control (ejemplo, hood con ventilador, sock, etc.) : Eficiencia de Captura: % Fuente o referencia para eficiencia de control: Nombre del Inspector: Fecha del la Encuesta: Notas:

A-32

CCiiuuddaadd JJuuáárreezz IInnvveennttaarriioo ddee EEmmiissiioonneess ddee FFuueenntteess ddee ÁÁrreeaaEstablecimientos de Tratamiento para Aguas

ResidualesAño: 2002


INFORMACION REQUERIDA PARA TRATAMIENTO DE AGUAS RESIDUALES:Pueden proveer diagramas de flujo? Cual es la cantidad annual de aguas residuales que hayan sido tratadas ? (unidades)

Cual de las siguientes unidades de proceso están presentes (markar los que apliquen)

Separador de aceite/agua Tanques de floculación

Tazón de ecuación Tanques de ajuste con phClarificador Superficie de encierroTazón de aeración Disolvente de aireDijestor de lodo anaeróbico Disolvente de vaporDijestor de lodo aeróbico

INFORMACIÓN DE UNIDAD (Opcional por cada unidad)Cuales son las dimensiones de cada unidad de proceso (ejemplo, altura, anchro, profundidad, diámetro, áreadel volumen de superficie)?

Cuál es el tiempo de retención de cada unidad de proceso? Cuales son los porcentajes de flujo influente, efluente, y reciclaje?

Influente litros/hrEfluente litros/hrReciclaje (si es aplicable) litros/hr

Cuál el la concentración VOC en influyente y efluente?Influente litros/hrEfluente litros/hr


A-33

CCiiuuddaadd JJuuáárreezz IInnvveennttaarriioo ddee EEmmiissiioonneess ddee FFuueenntteess ddee ÁÁrreeaaGeneración de Desperdicios: Dept. Público de

Trabajo de Cd. JuárezAño: 2002

DEPARTAMENTO PÚBLICO DE TRABAJO DE CD. JUÁREZ:Nómbre del Contacto: Título del Contacto: Número de Teléfono:

INFORMACIÓN DE DESPERDICIO:Hay disponible alguna estadística de generación de basura ? (unidades)Cuanto despercidio esta en basureros? (unidades)Cuanto despercidio esta reciclado? (unidades)Cuanto despercidio esta quemado? (unidades)

Cuantas áreas de la ciudad están programadas para la recolección de basura?


A-34

CCiiuuddaadd JJuuáárreezz IInnvveennttaarriioo ddee EEmmiissiioonneess ddee FFuueenntteess ddee ÁÁrreeaaInformación General de Equipo

(UTILIZAR ÚNICAMENTE CUANDO LAS FORMAS ESPECÍFICAS DEL EQUIPO NO SON APLICABLES)Año: 2002


IDENTIFICACIÓN DEL EQUIPOID de este equipo: Su nombre para este equipo: El material de salida de este equipo va para:


CHARACTERÍSTICAS DEL EQUIPOFabricante: Describa este equipo y su uso:

CALENDARIO DE OPERACIÓN DEL PROCESOPorcentaje Aproximado de Operación al Mes

Materia deentrada delProceso*(Enlistar) Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Arena 4 5 24 16.6 16.6 16.6 16.6 16.6 16.6 100%

CANTIDAD DE MATERIAL DE ENTRADAMaterial de Entrada Uso Annual del Material (unidades)

Sand 120,000 Mg

*Nombre común del material


A-35


Información General del Establecimiento Año: 2002

INFORMACIÓN DEL PROPIEATARIONomber de la Empresa: Asociación Industrial: Colonia:

CONTACTO DEL ESTABLECIMIENTO/PERSONA RESPONSABLENombre de la Persona: Persona Título/Responsabilidad:

DESCRIPCIÓN DEL ESTABLECIMIENTONombre del Establecimiento: Número de empleados trabajando en el establecimiento:

Administrativo, técnico y ejecutivo: Trabajadores, ayudantes y otros: Descrición del producto elaborado:

UBICACIÓN DEL ESTABLECIMIENTOCalle y Número del Establecimiento: Entre calles : y Colonia: Código Postal: Numero de Teléfono:

HORARIO DE OPERACIÓN DEL ESTABLECIMIENTOPorcentaje Aproximado de Operación al Mes

Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total8 5 44 5 9 9 9 9 9 9 9 9 9 9 5 100%

100%


A-36


Motores de Combustión Interna Año: 2002


IDENTIFICACIÓN DEL MOTORID de este motor: Su nombre para este motor: El material de salida de este motor va para:


CHARACTERÍSTICAS DEL MOTORFabricante: Describa este motor y su uso:

CALENDARIO DE OPERACIÓN DEL TIPO DE COMBUSTIBLEPorcentaje Aproximado de Operación al Mes

Combustible*(Enlistar) Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Diesel 24 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

*Nombre común del combustible

CARACTERÍSTICAS DEL COMBUSTIBLECombustible de Entrada

(Enlistar*)(Requerido) 2002 Uso de

CombustibleContenido Calorífico del

CombustibleContenido de Asufre

del CombustibleContenido de Ceniza

del Combustible

Diesel 100 kl (kg or kl) 3.8 ×××× 1010 (J/kg or J/kl) (%) (%)



* Nombre común del combustible


A-37


Panaderías Año: 2002


INFORMACIÓN DE PRODUCCIÓN:Producción annual de pan: (kg/año)

Masa-recta %: %Masa-esponjada %: %

Total: 100 %

Hay alguna estadística disponible de asociación de cambio? Si No Si si, Cual es el nombre de la asociación ó agencia de contacto Hay alguna persona específica de contacto?


A-38


Pilas de Almacenamiento (Almacenamiento Exterior) Año: 2002


IDENTIFICACIÓN DE LAS PILAS DE ALMACENAMIENTOID de esta pila: Su nombre para esta pila: El material de salida de esta pila va para:


CHARACTERISTICAS DE LAS PILAS DE ALMACENAMIENTODescribir equipo de contención (ejemplo., altura de la pared, dimensiones de domo, ninguno, etc.)

CALENDARIO DE OPERACIÓN POR MATERIAL ALMACENADOPorcentaje Aproximado de Operación al MesMaterial*

Almacenado(Enlistar) Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Grava 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

MATERIAL DE ENTRADA EN PILASMaterial

Almacenado(Enlistar*) Gasto Annual Area Contenido de Humedad Contenido de SedimentoGrava 2,044 (kg) 30 (m2) 5 (%) 7 (%)

(kg) (m2) (%) (%)

(kg) (m2) (%) (%)

(kg) (m2) (%) (%)



A-39


Plantas de Hielo (Refrigeración de Amoníaco) Año: 2002


INFORMACIÓN DE LA PRODUCCIÓNCantidad de amoníaco utilizada: (unidades) por semana/mes/año (escojer uno)Cantidad de amoníaco comprada: (unidades) por semana/mes/año (escojer uno)


A-40


Restaurantes al Carbón Año: 2002


INFORMACIÓN DE LA PRODUCCIÓNCantidad de carne de res cosinada: kg por día/semana/mes (escojer uno)Cantidad de carne de gallina cosinada: kg por día/semana/mes (escojer uno)Cantidad de carne de puerco cosinada: kg por día/semana/mes (escojer uno)Cantidad de: cosinada: kg por día/semana/mes (escojer uno)

INFORMACIÓN DEL COMBUSTIBLE:Cantidad de carbón utilizado: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de LPG: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de leña utilizada: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de utilizada: (unidades) por houra/día/semana/mes (escojer uno)


A-41


Talleres Automotríces Año: 2002


INFORMACIÓN DE PRODUCCIÓN:Cuantos automóbiles se pintan por semana?

Reparaciones Parciales: Promedio Máximo Cuando? Mínimo Cuando?

Reparación Completa: Promedio Máximo Cuando? Mínimo Cuando?

Que tipo de contabilidad se está utilizando para registrar las compras de pintura, solvente, materiales, etc.?INFORMACIÓN DE OPERACIONESSi limpiador de solvente es utilizado, que tipo de solventes y que cantidad es utilizada?

Tolueno litrosXileno litrosPetróleo Distillates litros

Qué hacen con los solventes utilizados?Dejan que se evaporen Recobrados y vueltos a usar/reciclados Recobrados y botados Mandan por un drenaje

Indicar la cantidad de pintura utilizada: semana/al mes/por año (escojer una) para pintura base ó primaria.barniz litrosesmalte litroswaterborne litrosurethane litrosotro litros, describa

Indicar la cantidad de pintura utilizada: semanal/al mes/por año (esciher una) para acabado final.barniz litrosesmalte litroswaterborne litrosurethane litrosotro litros, describa

Página 1 de 2

A-42

Indicar la cantidad de pintura utilizada: semanal/al mes/por año (escojer una) para acabado transparente.barniz litrosesmalte litroswaterborne litrosurethane litrosotro litros, describa

Dónde fue comprada y elaborada la pintura que se utilizó ?En Mexico / porcentajeEn Estados Unidos / porcentajeOtro / porcentaje Donde?

Que tipo de pistola atomizadora es utilizada? Si más de una, indicar el porcentaje.Pistola standard volumen-alto presión-baja (HVLP) Pistola eléctrica standard Otro describa

Como pintan? Si más de uno, indicar el porcentaje.Aire abierto Repintados parciales % Repintados completos %Cabina cerrada Repintados parciales % Repintados completos %Cubierto sin cabina Repintados parciales % Repintados completos %Debajo de techo no cerrado Repintados parciales % Repintados completos %

Después de que se haya terminado el trabajo, que procedimientos utilizan en la limpieza de las pistola y en ellugar de trabajo? Solventes utilizados para limpiar las pistolas: Tipo de solvente

Cantidad litros

MANEJO Y GENERACIÓN DE DESECHOSGeneran desechos? Cantidades para: Como fué eliminado?Trapos: Sí No Cuántos kilogramos? Pintura: Sí No Cuántos litros? Solvent de limpieza: Sí No Cuántos litros? Papel de lija: Sí No Cantidad? Papel: Sí No Cantidad? Tarros: Sí No Cantidad? Otro: Sí No Cantidad?


Página 2 de 2

A-43


Tanques Abiertos de Proceso Año: 2002


IDENTIFICACIÓN DEL TANQUEID de este tanque: Su nombre para este tanque: El material de salida de este tanque va para:


CHARACTERÍSTICAS DEL TANQUEFabricante: Describa este tanque y su uso: Dimensiones del Tanque - Longitud: Anchura: Altura: Tipo de Tanque: Método de Agitación: Métodos Anti-Niebla o de Inhibición de Niebla:

CALENDARIO DE OPERACIÓNPorcentaje Aproximado de Operación al MesMaterial de

Entrada *(Enlistar) Horas/Día Días/Semana Meses/Año Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Aguas Inmundas 24 7 52 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 100%

MATERIAL DE ENTRADAMaterial de Entrada Uso Annual del Material (unidades)

Aguas Inmundas 1,000 M3



A-44


Tanques de Almacenamiento de Techo Fijo y Flotante Año: 2002


IDENTIFICACIÓN DEL EQUIPOID de este tanque: Su nombre para este tanque: El material de salida de este tanque va para:


CHARACTERÍSTICAS DEL TANQUEDiseño del Tanque: Techo Flotante (Externo) Techo Flotante (Interno) Techo Fijo Capacidad (volumen): m3 Diámetro: m Altura: m

Color de la pintura del casco: Color de la pintura del techo: Condición de la pintura del casco: Buena Regular Mala Condición de la pintura del casco: Buena Regular Mala Tipo de Techo: Pan Flotador Doble Plataforma Cono Domo Otro Tipo de Sello Primario del Pilote:

Metálico Elástico Montado en Vapor Elástico Montado en Líquido Levas Tipo de Sello Secundario del Pilote:

Levas Montadas en Pilote Levas Montadas en el Borde Blindaje Climático Otro

CALENDARIO DE OPERACIÓNPorcentaje Aproximado de Operación al MesMaterial

Almacenado*(Enlistar) Ene Feb Mar Abr May Jun Jul Ago Sept Oct Nov Dic Total

Gasolina 5 5 7 10 10 10 11 11 10 7 7 7 100%

*Nombre común del combustible

PROCESO DE MATERIALES DE ENTRADA (Registrar material de entrada por proceso.)Material de Entrada del

Proceso (Enlistar*) Presión de VaporTemperatura de Almacenamiento

Promedio Gasto AnnualGasolina (kPa) (°°°°C) 10,440 (m3)

(kPa) (°C) (m3)

(kPa) (°C) (m3)

(kPa) (°C) (m3)

A-45


Lavanderías Año: 2002


INFORMACIÓN DE LA PRODUCCIÓNCantidad de uso de solvente: litros/añoPercloroetileno: %Solvente de petróleo: %Otros solvents: % Nombre:

Total: 100 %

Cantidad de solvente reciclado (si hay alguno): litros/añoCantidad de solvente desechado (si hay alguno): litros/año


A-46


Vendedores Ambulantes Año: 2002


INFORMACIÓN DE PRODUCIÓNCantidad de carne cosinada: kg por día/semana/mes (escojer uno)Cantidad de carne de gallina cosinada: kg por día/semana/mes (escojer uno)Cantidad de carne de puerco cosinada: kg por día/semana/mes (escojer uno)Cantidad de: cosinada: kg por día/semana/mes (escojer uno)

INFORMACIÓN DEL COMBUSTIBLE:Cantidad de carbón utilizado: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de LPG: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de leña utilizada: (unidades) por houra/día/semana/mes (escojer uno)Cantidad de utilizada: (unidades) por houra/día/semana/mes (escojer uno)


Appendix B:

Emission Inventory Forrmmss

B-1

SOURCE TYPE: Area SOURCE CATEGORY: Agricultural Burning

DESCRIPTION:Emissions from burning of crop residue, wood, and leaves associated with agricultural activities.

POLLUTANTS:VOC, CO, PM10, and PM2.5

METHOD:Emission factors

ACTIVITY DATA:• Crop acreage burned (SAGARPA, 2002)• Time period of burning (SAGARPA, 2002)• Fuel loading data in Mg/hectare (SAGARPA, 2002)

EMISSION FACTORS:• VOC = 4.5 kg/Mg of fuel• CO = 54 kg/Mg of fuel• Total PM = 6 kg/Mg of fuel (AP-42)

ASSUMPTIONS:• The type of burning was assumed to be headfire type• Particle size fraction for PM10 is 98.35% of total PM (ARB, 1999)• Particle size fraction for PM2.5 is 93.79% of total PM (ARB, 1999)• Burning only on 26 days during May - Oct. (SAGARPA, 2002)• O3 season daily emissions = annual emissions/26 days

SAMPLE CALCULATIONS:

Estimate annual emissions from agricultural burning in Juárez, Chihuahua.

Crop acreage burned in Juárez during 2002 = 1,565 hectares of wheatFuel loading = 1.8 Mg/hectareTotal fuel consumed = 1.8 Mg/hectare X 1,565 Hectares = 2,817 Mg

Annual VOC emissions = 4.5 kg/Mg X 2,817 Mg = 12.7 Mg = 14.0 tonsAnnual CO emissions = 54 kg/Mg X 2,817 Mg = 152.1 Mg = 167.6 tonsAnnual PM10 emissions = 6 kg/Mg X 2,817 Mg X 0.9835 = 16.6 Mg = 18.3 tonsAnnual PM2.5 emissions = 6 kg/Mg X 2,817 Mg X 0.9379 = 15.6 Mg = 17.2 tons

Number of days in O3 season when burning occurs = 26

O3 season daily VOC emissions = 14.0 tons/26 days = 0.54 tons/day = 1,077 lbs/dayO3 season daily CO emissions = 167.6 tons/26 days = 6.4 tons/day = 12,898 lbs/dayO3 season daily PM10 emissions = 18.3 tons/26 days = 0.7 tons/day = 1,410 lbs/dayO3 season daily PM2.5 emissions = 17.2 tons/26 days = 0.66 tons/day = 1,322 lbs/day

B-2

SOURCE TYPE: Area SOURCE CATEGORY: Agricultural Tilling

DESCRIPTION:Fugitive dust emissions from agricultural tilling.

POLLUTANTS:PM10 and PM2.5


ACTIVITY DATA:• Total cultivated area by crop type (SAGARPA, 2002)• Number of hectare passes by crop type (SAGARPA, 2002)• Tilling period by crop type (SAGARPA, 2002)

EMISSION FACTORS:• Total PM = 5.38 X (S0.6) kg/hectare pass (Radian, 1997)

ASSUMPTIONS:• Silt content (S) is assumed to be 18% (Radian, 1997)• Particle size fraction for PM10 is 21% of Total PM (EIIP, 2003a)• Particle size fraction for PM2.5 is 4.2% of Total PM (EIIP, 2003a)• O3 season daily emissions = emissions in the O3 season/number of days in that season


Estimate annual emissions from agricultural tilling operation in Juárez, Chihuahua.Total cultivated area for cotton = 5,539.33 hectaresTotal cultivated area for alfalfa = 3,660 hectaresTotal cultivated area for wheat = 1,565.13 hectaresTotal cultivated area for pecans = 244 hectares

Number of hectare passes for cotton = 8/yearNumber of hectare passes for alfalfa = 8/yearNumber of hectare passes for wheat = 5/yearNumber of hectare passes for pecans = 4/year

PM emission factor = 5.38 X (180.6) = 30.48 kg/hectare pass

Total annual PM10 emissions = [(5,539.33 hectares X 8/year) + (3,660 hectares X 8/year) + (1,565.13 hectares X5/year)+ (244 hectares X 4/year)] X 30.48 kg/hectare pass X 0.21 = 527.32 Mg = 581.1 tons

Total annual PM2.5 emissions = [(5,539.33 hectares X 8/year) + (3,660 hectares X 8/year) + (1,565.13 hectares X5/year)+ (244 hectares X 4/year)] X 30.48 kg/hectare pass X 0.042 = 105.5 Mg = 116.2 tons

Tilling period for cotton = January – August = 243 daysNumber of days in O3 season = 123 daysDaily PM10 emissions in O3 season = [(123/243) X 283.60 Mg (cotton emissions)]/123 = 1.17 Mg = 2,572.98 lbs/dayDaily PM2.5 emissions in O3 season = [(123/243) X 56.7 Mg (cotton emissions)]/123 = 0.23 Mg = 514.6 lbs/day

Daily PM10 emissions in O3 season = Σ (Daily PM10 emissions in O3 season for all crop types)Daily PM2.5 emissions in O3 season = Σ (Daily PM2.5 emissions in O3 season for all crop types)

Daily PM10 emissions in O3 season = 2,572.98 lbs + 6,772.30 lbs + 0 lbs + 149.68 lbs = 9,495 lbs/dayDaily PM2.5 emissions in O3 season = 514.6 lbs + 1,354.5 lbs + 0 lbs + 29.9 lbs = 1,899 lbs/day

B-3

SOURCE TYPE: Industrial SOURCE CATEGORY: Asphalt Manufacturing

DESCRIPTION:Process and fugitive emissions from the production of asphalt.

POLLUTANTS:NOx, SO2, VOC, CO, PM10, and PM2.5


ACTIVITY DATA:• Quantity of asphalt produced (W.O. #55 Survey)• Quantity of fuel used (W.O. #55 Survey)• Facility operational schedule (W.O. #55 Survey)

EMISSION FACTORS:• Rotary dryers and hot bins: NOx = 0.12 lb/ton of asphalt; SO2 = 0.088 lb/ton of asphalt; VOC = 0.0082 lb/ton of

asphalt; CO = 0.4 lb/ton of asphalt; PM10 = 4.5 lb/ton of asphalt; and PM2.5 = 0.27 lb/ton of asphalt (U.S. EPA,1995)

• Asphalt heaters: NOx = 55 lb/1000 gallons of fuel; SOx = 524.7 lb/1000 gallons of fuel; VOC = 0.28 lb/1000 gallonsof fuel (U.S. EPA, 1995)

• Aggregate hoppers, truck load out, conveyor belt, and aggregate collectors: TOC = 0.0042 lb/ton of asphalt; CO =0.0013 lb/ton of asphalt; total PM = 0.0002 lb/ton of asphalt (U.S. EPA, 1995)

ASSUMPTIONS:• Asphalt volatility is assumed to be a 0.5% loss-on-heating, or -0.5 (U.S. EPA, 1995)• HMA mix temperature is assumed to be 325 0F (U.S. EPA, 1995)• VOC is assumed to be 94% of TOC (U.S. EPA, 1995)• Total PM is assumed to be predominantly PM2.5 (U.S. EPA, 1995)• Sulfur content in residual fuel is assumed to be 3.3% (PEMEX, 2002)• O3 season daily emissions = (annual emissions X production rate in any month in the O3 season)/number of days

in that month (e.g., 11.6% per month in the O3 season for asphalt heaters)• Controls:

Rotary dryer: capture efficiency = 100% and control efficiency = 60%Hot bins: capture efficiency = 100% and control efficiency = 50%Truck load-out and open conveyor 1: capture efficiency = 20% and control efficiency = 50%Open conveyor 2: capture efficiency = 20% and control efficiency = 30%Hot aggregate collector (in series):1st control device; capture efficiency = 25% and control efficiency = 25%

2nd control device; capture efficiency = 100% and control efficiency = 60%SAMPLE CALCULATIONS:

Estimate annual emissions from a hot mix asphalt plant located in Juárez, Chihuahua.Quantity of asphalt produced = 276,144 tons/yearQuantity of fuel used = 105,670 gallons/year

Emissions from heater:NOx emissions = 55 lb/1000 gallons X 105.67 X 1000 gallons/year = 3.0 tons/yearSOx emissions = 524.7 lb/1000 gallons X 105.67 X 1000 gallons/year = 27.7 tons/yearVOC emissions = 0.28 lb/1000 gallons X 105.67 X 1000 gallons/year = 0.015 tons/year

Emissions from rotary dryers and hot bins:Emissions = EF X activity data X (1 – CE)Where, EF is emission factor and CE is control efficiency.

NOx emissions = 0.12 lb/ton X 276,144 tons/year X (1 – 0.6) = 6.6 tons/yearSOx emissions = 0.088 lb/ton X 276,144 tons/year X (1 – 0.6) = 4.86 tons/yearVOC emissions = 0.0082 lb/ton X 276,144 tons/year X (1 – 0.6) = 0.45 tons/yearCO emissions = 0.4 lb/ton X 276,144 tons/year X (1 – 0.6) = 22.1 tons/yearPM10 emissions = 4.5 lb/ton X 276,144 tons/year X (1 – 0.6) = 248.5 tons/yearPM2.5 emissions = 0.27 lb/ton X 276,144 tons/year X (1 – 0.6) = 14.9 tons/year

B-4

ASPHALT MANUFACTURING – CONTINUED

Emissions from aggregate hoppers (5 of these):VOC emissions = 0.0042 lb/ton X 276,144 tons/year X 0.94 X 5 = 2.73 tons/yearCO emissions = 0.0013 lb/ton X 276,144 tons/year X 5 = 0.90 tons/yearPM10, PM2.5 emissions = 0.0002 lb/ton X 276,144 tons/year X 5 = 0.14 tons/year

Emissions from truck load-out:Emissions = EF X activity data X (1 – CAP X CE)Where, EF is emission factor, CAP is capture efficiency, and CE is control efficiency.

VOC emissions = 0.0042 lb/ton X 276,144 tons/year X 0.94 X (1- (0.2 X 0.5)) = 0.5 tons/yearCO emissions = 0.0013 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.5)) = 0.16 tons/yearPM10, PM2.5 emissions = 0.0002 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.5)) = 0.025 tons/year

Emissions from open-conveyor 1:VOC emissions = 0.0042 lb/ton X 276,144 tons/year X 0.94 X (1- (0.2 X 0.5)) = 0.5 tons/yearCO emissions = 0.0013 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.5)) = 0.16 tons/yearPM10, PM2.5 emissions = 0.0002 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.5)) = 0.025 tons/year

Emissions from open-conveyor 2:VOC emissions = 0.0042 lb/ton X 276,144 tons/year X 0.94 X (1- (0.2 X 0.3)) = 0.55 tons/yearCO emissions = 0.0013 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.3)) = 0.17 tons/yearPM10, PM2.5 emissions = 0.0002 lb/ton X 276,144 tons/year X (1 – (0.2 X 0.3)) = 0.026 tons/year

Emissions from hot aggregate collector:VOC emissions = [0.0042 lb/ton X 276,144 tons/year X 0.94 X (1- (0.25 X 0.25))] X (1 – 0.6) = 0.2 tons/yearCO emissions = [0.0013 lb/ton X 276,144 tons/year X (1 – (0.25 X 0.25))] X (1 – 0.6) = 0.064 tons/yearPM10, PM2.5 emissions = 0.0002 lb/ton X 276,144 tons/year X (1 – (0.25 X 0.25))] X (1 – 0.6) = 0.01 tons/year

Total annual NOx emissions from plant = 3.0 tons + 6.5 tons = 9.5 tonsTotal annual SOx emissions from plant = 27.7 tons + 4.86 tons = 32.56 tonsTotal annual VOC emissions from plant = 0.015 tons + 0.45 tons + 2.73 tons + 0.5 tons + 0.5 tons + 0.55 tons+ 0.2 tons = 4.9 tonsTotal annual CO emissions from plant = 22.1 tons + 0.90 tons + 0.16 tons + 0.16 tons + 0.17 tons + 0.064 tons = 23.55 tonsTotal annual PM10 emissions = 248.5 tons + 0.14 tons + 0.025 tons + 0.025 tons + 0.026 tons + 0.01 tons = 248.7 tonsTotal annual PM2.5 emissions = 14.9 tons + 0.14 tons + 0.025 tons + 0.025 tons + 0.026 tons + 0.01 tons = 15.12 tons

O3 season daily emissions from selected equipment:• Asphalt heater:NOx emissions = (3 tons X 0.116)/31 days = 22.45 lbs/daySOx emissions = (27.7 tons X 0.116)/31 days = 207.3 lbs/dayVOC emissions = (0.015 tons X 0.116)/31 days = 0.12 lbs/day

• Rotary dryers and Hot bins:NOx emissions = (6.6 tons X 0.116)/31 days = 49.4 lbs/daySOx emissions =(4.86 tons X 0.116)/31 days = 36.4 lbs/dayVOC emissions = (0.45 tons X 0.116)/31 days = 3.4 lbs/dayCO emissions = (22.1 tons X 0.116)/31 days = 165.4 lbs/dayPM10 emissions =(248.7 tons X 0.116)/31 days = 1,859.7 lbs/dayPM2.5 emissions = (14.9 tons X 0.116)/31 days = 111.5 lbs/day

• Aggregate hoppers (5 of these):VOC emissions = (2.73 tons X 0.12)/31 days = 21.1 lbs/dayCO emissions = (0.90 tons X 0.12)/31 days = 7.0 lbs/dayPM2.5 emissions = (0.14 tons X 0.12)/31 days = 1.1 lbs/day

Total O3 season daily emissions = Σ (O3 season daily emissions from individual equipment types)Total O3 season daily NOx emissions = 71.9 lbs/dayTotal O3 season daily SOx emissions = 243.7 lbs/dayTotal O3 season daily VOC emissions = 37.7 lbs/dayTotal O3 season daily CO emissions = 176.6 lbs/dayTotal O3 season daily PM10 emissions = 1,860 lbs/dayTotal O3 season daily PM2.5 emissions = 113.3 lbs/day

B-5

SOURCE TYPE: Industrial SOURCE CATEGORY: Autobody Shops

DESCRIPTION:Repair and restoration of automobile, light truck, and other vehicle bodies

POLLUTANTS:VOC

METHOD:Material balance

ACTIVITY DATA:• Solvent usage (W.O. #55 Survey)• Facility operational schedule (W.O. #55 Survey)

EMISSION FACTORS:• Not applicable

ASSUMPTIONS:• VOC contents (EPA, 1999)• O3 season daily emissions = annual emissions/facility operational days per year


Estimate annual emissions from an autobody shop located in Juárez, Chihuahua

Paint usage = 12 liters/yearVOC emissions = 12 liters/year X 0.6244 kg/liter = 0.008 tons/year

Primer usage = 3 liters/yearVOC emissions = 3 liters/year X 0.8388 kg/liter = 0.003 tons/year

Acrylic enamel top coat usage = 3 liters/yearVOC emissions = 3 liters/year X 0.6351 kg/liter = 0.002 tons/year

Thinner usage = 13 liters/yearVOC emissions = 13 liters/year X 0.7681 kg/liter = 0.011 tons/year

Cleanup solvent usage = 13 liters/yearVOC emissions = 13 liters/year X 0.7681 kg/liter = 0.011 tons/year

Total annual VOC emissions = 0.008 tons + 0.003 tons + 0.002 tons + 0.011 tons + 0.011 tons = 0.035 tons

Facility operational days/year = 52 days/year

O3 season daily VOC emissions = 0.035 tons/52 days = 1.35 lb/day

B-6

SOURCE TYPE: Industrial SOURCE CATEGORY: Bakeries

DESCRIPTION:Emissions from yeast fermentation and fuel combustion in bakeries.



ACTIVITY DATA:• Annual bread production data (W.O. #55 Survey)• Fuel consumption data (W.O. #55 Survey)

EMISSION FACTORS:• VOC from bread production = 6.5 lb/1000 lb of bread produced (EIIP, 1999)• Fuel combustion: NOx = 100 lb/106 scf: SOx = 0.6 lb/106 scf; VOC = 5.5 lb/106 scf; CO = 84 lb/106 scf; PM10 = 7.6

lb/106 scf; PM2.5 = 5.7 lb/106 scf (U.S. EPA, 1995)

ASSUMPTIONS:• Bread production process is assumed to be sponge dough process• Natural gas emission factors are based on a average heating value of 1,020 Btu/scf; to convert them to other

natural gas heating values, multiply emission factor by the ratio of specified heating value to the average heatingvalue, e.g., 288.75/273.15 (U.S. EPA, 1995)

• O3 season daily emissions = (annual emissions X percentage of annual production occurring in any month in theozone season)/(number of days in that month)

SAMPLE CALCULATIONS:Estimate emissions from a bakery in Juárez, Chihuahua.Amount of bread production = 220 kg/day X 365 days = 80,300 kg = 177,302 lb/yearVOC emissions from bread production = 6.5 lb/1000 lb X (177,302/1000) lb = 1,149 lb/yearO3 season daily VOC emissions from bread production = (1,149 lb X 0.083)/30 days = 3.18 lb/day

Fuel consumption = 138.4 m3 = 4,887.55 scfEmissions from fuel combustion:NOx emissions = 100 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.52 lb/year = 0 tons/yearO3 season daily NOx emissions = (0.52 lb X 0.083)/30 days = 0 lb/day

SO2 emissions = 0.6 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.003 lb/year = 0 tons/yearO3 season daily SO2 emissions = (0.003 lb X 0.083)/30 days = 0 lb/day

VOC emissions = 5.5 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.03 lb/year = 0 tons/yearO3 season daily VOC emissions = (0.03 lb X 0.083)/30 days = 0 lb/day

Total VOC emissions (bread production + fuel comb.) = 1,149 lb/year + 0.03 lb/year = 1,149.03 lb/year = 0.57 tons/yearTotal O3 season daily VOC emissions (bread production + fuel combustion) = 3.18 lb/day + 0 lb/day = 3.18 lb/day

CO emissions = 84 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.43 lb/year = 0 tons/yearO3 season daily CO emissions = (0.43 lb X 0.083)/30 days = 0 lb/day

PM10 emissions = 7.6 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.04 lb/year = 0 tons/yearO3 season daily PM10 emissions = (0.04 lb X 0.083)/30 days = 0 lb/day

PM2.5 emissions = 5.7 lb/106 scf X (4,887.55/106) scf X (288.75/273.15) K = 0.03 lb/year = 0 tons/yearO3 season daily PM2.5 emissions = (0.03 lb X 0.083)/30 days = 0 lb/day

B-7

SOURCE TYPE: Area SOURCE CATEGORY: Border Crossings

DESCRIPTION:Emissions from motor vehicles idling at border crossings.

POLLUTANTS:NOx, VOC, and CO

METHOD:Emission factors derived from MOBILE5-JuárezII, version 5a.1 (ERG, 2002)

ACTIVITY DATA:• Monthly average minimum and maximum temperatures (NCDC, 2003)• Altitude of the border crossing ports• Number of vehicles at border crossing ports (BTS, 1999)• Vehicle wait times at various border crossing ports (CBP, 2003)

EMISSION FACTORS:• As calculated by MOBILE5-JuarezII

ASSUMPTIONS:• Average vehicle speed at border crossing ports is assumed to be 4 kilometers per hour (kmph)• Passenger vehicles were considered as light-duty gasoline vehicles (LDGV)• Trucks and buses were grouped as heavy-duty diesel vehicles (HDDV)• O3 season daily emissions = highest monthly emissions in the O3 season/number of days in that month

SAMPLE CALCULATIONS:Estimate emissions from border crossings in Juárez, Chihuahua.

Emissions from border crossings in Juárez:

Emission factors for LDGV in the month of January: NOx = 3.01 g/km; HC = 25.4 g/km; and CO = 295.23 gm/kmNumber of LDGV in January = 1,370,943Average wait time for passenger vehicles = 30 minutes = 0.5 hrNOx emissions = 3.01 g/km X 1,370,943 X 4 km/hr X 0.5 hr = 8.3 Mg for JanuaryVOC emissions = 25.4 g/km X 1,370,943 X 4 km/hr X 0.5 hr = 69.6 Mg for JanuaryCO emissions = 295.23 g/km X 1,370,943 X 4 km/hr X 0.5 hr = 809.5 Mg for January

Emission factors for HDDV in the month of January: NOx = 18.04 g/km; HC = 8.49 g/km; and CO = 43.76 g/kmNumber of HDDV in January = 47,053Average wait time for commercial vehicles = 30 minutes = 0.5 hrNOx emissions = 18.04 g/km X 47,053 X 4 km/hr X 0.5 hr = 1.7 Mg for JanuaryVOC emissions = 8.49 g/km X 47,053 X 4 km/hr X 0.5 hr = 0.8 Mg for JanuaryCO emissions = 43.76 g/km X 47,053 X 4 km/hr X 0.5 hr = 4.1 Mg for January

Total annual emissions at the Juarez border crossing = Σ (Emissions in each month)Total annual NOx emissions at the Juarez border crossing = 116.30 Mg = 128.16 TonsTotal annual VOC emissions at the Juarez border crossing = 739.22 Mg = 814.62 TonsTotal annual CO emissions at the Juarez border crossing = 8,474.71 Mg = 9,339.13 Tons

Highest monthly emissions in the O3 season are for October (31 days)Monthly NOx emissions in October = 11.07 tonsMonthly VOC emissions in October = 66.84 tonsMonthly CO emissions in October = 764.9 tons

O3 season daily emissions for NOx = 11.07 tons/31 days = 0.36 tons/day = 714.23 lbs/dayO3 season daily emissions for VOC = 66.84 tons/31 days = 2.16 tons/day = 4,312.24 lbs/dayO3 season daily emissions for CO = 764.9 tons/31 days = 24.67 tons/day = 49,347.5 lbs/day

B-8

SOURCE TYPE: Area SOURCE CATEGORY: Brick Kilns

DESCRIPTION:Emissions from wood combustion in brick kilns. Wood (including pallets, chips, and sawdust) is the predominant fuel inbrick kilns in Juárez.

POLLUTANTS:NOx, VOC, CO, PM10, and PM2.5


ACTIVITY DATA:Brick production data (ETM, 2003)

EMISSION FACTORS:• NOx = 4.74 kg/burn; VOC = 61.69 kg/burn; CO = 279.89 kg/burn; and PM2.5 = 44.87 kg/burn (EPEC, 2002).

ASSUMPTIONS:• Average number of burns/kiln-month in the O3 season was assumed to be 1.9 (ETM, 2003)• Average number of burns/kiln-month in the non-O3 season was assumed to be 0.92 (ETM, 2003)• O3 season daily emissions = emissions in the O3 season/number of days in that season• All PM is PM2.5 (Rodriguez, 2003)

SAMPLE CALCULATIONS:Estimate annual emissions from brick kilns in Juárez, Chihuahua.

Number of brick kilns in Juárez = 325Number of burns/kiln-month in the O3 season = 1.9Number of burns/season = 325 kilns X 1.9 burns/kiln-month X 6 months = 3,705

Total NOx emissions in the O3 season = 4.74 kg/burn X 3705 burns = 17.44 Mg = 19.2 tonsTotal VOC emissions in the O3 season = 61.69 kg/burn X 3705 burns = 227.13 Mg = 250.3 tonsTotal CO emissions in the O3 season = 279.89 kg/burn X 3705 burns = 1,028.79 Mg = 1,133.7 tonsTotal PM10 emissions in the O3 season = 44.87 kg/burn X 3705 burns = 166.24 Mg = 183.2 tonsTotal PM2.5 emissions in the O3 season = 44.87 kg/burn X 3705 burns = 166.24 Mg = 183.2 tons

Number of burns/kiln-month in the non-O3 season = 0.92Number of burns/season = 325 kilns X 0.92 burns/kiln-month X 6 months = 1,794

Total NOx emissions in the non-O3 season = 4.74 kg/burn X 1,794 burns = 8.44 Mg = 9.3 tonsTotal VOC emissions in the non-O3 season = 61.69 kg/burn X 1,794 burns = 109.98 Mg = 121.2 tonsTotal CO emissions in the non-O3 season = 279.89 kg/burn X 1,794 burns = 498.2 Mg = 549 tonsTotal PM10 emissions in the non-O3 season = 44.87 kg/burn X 1,794 burns = 80.5 Mg = 88.7 tonsTotal PM2.5 emissions in the non-O3 season = 44.87 kg/burn X 1,794 burns = 80.5 Mg = 88.7 tons

Annual NOx emissions = 19.2 tons + 9.3 tons = 28.5 tonsAnnual VOC emissions = 250.3 tons + 121.2 tons = 371.5 tonsAnnual CO emissions = 1,133.7 tons + 549 tons = 1,682.7 tonsAnnual PM10 emissions = 183.2 tons + 88.7 tons = 271.9 tonsAnnual PM2.5 emissions = 183.2 tons + 88.7 tons = 271.9 tons

O3 season daily NOx emissions = 19.2 tons/184 days = 0.104 tons/day = 209 lbs/dayO3 season daily VOC emissions = 250.3 tons/184 days = 1.36 tons/day = 2,721.4 lbs/dayO3 season daily CO emissions = 1,133.7 tons/184 days = 6.16 tons/day = 12,326.5 lbs/dayO3 season daily PM10 emissions = 183.2 tons/184 days = 1.00 tons/day = 2000.0 lbs/dayO3 season daily PM2.5 emissions = 183.2 tons/184 days = 1.00 tons/day = 2000.0 lbs/day

B-9

SOURCE TYPE: Area SOURCE CATEGORY: Cattle Feedlots

DESCRIPTION:Fugitive dust generated in beef cattle feedlots and stockyards by the movement of cattle over soil dust and dried manure.


METHOD:Cattle population statistics and emission factors

ACTIVITY DATA:• Cattle Population (SAGARPA, 2002)• Slaughter Estimate (SAGARPA, 2002)

EMISSION FACTORS:• PM10 emission factor = 17 Mg/1000 head throughput (EIIP, 2003b)• PM2.5 emission factor = 2.55 Mg/1000 head throughput (EIIP, 2003b)

ASSUMPTIONS:• All slaughtered beef cattle pass through a feedlot• Beef cattle consisted of 74.1% of total cattle population, and dairy cattle are 25.9% of the total cattle population (SAGARPA,

2002)• Residency time for beef and dairy cattle were assumed to be 6 and 12 months respectively• O3 season daily emissions = annual emissions/365 days• PM2.5 is 15% of PM10 (EIIP, 2003b)


Estimate the total annual PM10 and PM2.5 emissions from beef cattle feedlots in Juárez, Chihuahua.

• Beef cattle population in Juárez, Chihuahua = 40,000 head• Dairy cattle population in Juárez, Chihuahua = 14,000 head

PM10 emissions = [(40,000/1,000) X 17 Mg/1000 head X 6 months/12] + [(14,000/1,000) X 17 Mg/1000 head X 12 months/12]= 578 Mg/year = 637.0 tons/year

PM2.5 emissions = 0.15 X 578 Mg/year = 86.7 Mg/year = 95.5 tons/year

O3 season daily PM10 emissions = 637.0 tons/365 = 1.75 tons = 3490.4 lbsO3 season daily PM2.5 emissions = 95.5 tons/365 = 0.26 tons = 523.3 lbs

B-10

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Commercial – Distillate

DESCRIPTION:Industrial consumption of distillate fuel (includes diesel and industrial diesel fuels). Emission sources include boilers,furnaces, heaters, IC engines, etc.

POLLUTANTS:NOx, SOx, VOC, CO, PM10, and PM2.5


ACTIVITY DATA:• National distillate fuel usage in the commercial sector (ERG, 2003; SENER 2000a)• National and local employee statistics for the commercial sector (CMAP 50-80) (INEGI, 1999)

EMISSION FACTORS:• NOx = 2.4 kg/1000 liters (U.S. EPA, 1995)• SO2 = 17.04 kg/1000 liters (U.S. EPA, 1995)• VOC = 0.0408 kg/1000 liters (U.S. EPA, 1995)• CO = 0.6 kg/1000 liters (U.S. EPA, 1995)• Total PM = 0.24 kg/1000 liters (U.S. EPA, 1995)

ASSUMPTIONS:• Sulfur content of distillate fuel is assumed to be 1% (PEMEX, 2002)• Particle size fraction for PM10 is 55% of Total PM (U.S. EPA, 1995)• Particle size fraction for PM2.5 is 42% of Total PM (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days

SAMPLE CALCULATIONS:Estimate annual emissions from distillate fuel oil combustion in the commercial sector in Juárez, Chihuahua.

National emissions:National distillate fuel quantity used by the commercial sector = 98,013,286 liters/year

Annual NOx emissions = 2.4 kg/1000 liters X (98,013,286 liters) = 235,232 kg = 235.2 MgAnnual SO2 emissions = 17.04 kg/1000 liters X (98,013,286 liters) = 1,670,146 kg = 1,670.1 MgAnnual VOC emissions = 0.0408 kg/1000 liters X (98,013,286 liters) = 3,999 kg = 4.0 MgAnnual CO emissions = 0.6 kg/1000 liters X (98,013,286 liters) = 58,808 kg = 58.8 MgAnnual PM10 emissions = 0.55 X 0.24 kg/1000 liters X (98,013,286 liters) = 12,938 kg = 12.9 MgAnnual PM2.5 emissions = 0.42 X 0.24 kg/1000 liters X (98,013,286 liters) = 9,880 kg = 9.9 Mg

Juárez emissions:Ratio of local employees to national employees in the commercial sector = 134,778/9,085,570 = 0.0148

Annual NOx emissions = 235.2 Mg X 0.0148 = 3.8 tonsAnnual SO2 emissions = 1,670.1 Mg X 0.0148 = 27.3 tonsAnnual VOC emissions = 4.0 Mg X 0.0148 = 0.07 tonsAnnual CO emissions = 58.8 Mg X 0.0148 = 1.0 tonsAnnual PM10 emissions = 12.9 Mg X 0.0148 = 0.2 tonsAnnual PM2.5 emissions = 9.9 Mg X 0.0148 = 0.2 tons

O3 season daily NOx emissions = 3.8 tons/365 days = 20.8 lb/dayO3 season daily SO2 emissions = 27.3 tons/365 days = 149.7 lb/dayO3 season daily VOC emissions = 0.07 tons/365 days = 0.4 lb/dayO3 season daily CO emissions = 1 ton/365 days = 5.3 lb/dayO3 season daily PM10 emissions = 0.2 tons/365 days = 1 lb/dayO3 season daily PM2.5 emissions = 0.2 tons/365 days = 1 lb/day

B-11

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Commercial – LPG

DESCRIPTION:Commercial combustion of liquefied petroleum gas (LPG). Emission sources include boilers, furnaces, heaters, ICengines, etc.



ACTIVITY DATA:• State level LPG usage by sector (ERG, 2003; SENER, 2000b; SENER, 2000c)• National and local employee statistics for the commercial sector (CMAP 50-80) (INEGI, 1999)

EMISSION FACTORS:• NOx = 1.74 kg/1000 liters (U.S. EPA, 1995)• SOx = 0.00477 kg/1000 liters (U.S. EPA, 1995)• VOC = 0.0408 kg/1000 liters (U.S. EPA, 1995)• CO = 0.24 kg/1000 liters (U.S. EPA, 1995)• Total PM = 0.054 kg/1000 liters (U.S. EPA, 1995)

ASSUMPTIONS:• LPG is assumed to contain 60% propane and 40% butane• Sulfur content of propane fraction and butane fraction is assumed to be 0.4114 gr/100 ft3

• Particle size fractions for PM10 and PM2.5 are 100% of total PM (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from commercial LPG usage in Juárez, Chihuahua.

Commercial LPG usage in Chihuahua = 117,338 m3/year = 117,338,000 liters/year

Juárez emissions = Chihuahua emissions X (commercial employees in Juárez/commercial employees in Chihuahua)Ratio of Juárez employees to Chihuahua employees in the commercial sector = 134,778/333,324 = 0.404

Juárez Annual NOx emissions = [1.74 kg/1000 liters X 117,338,000 liters] X 0.404 = 91 tons/yearJuárez Annual SOx emissions = [0.00477 kg/1000 liters X 117,338,000 liters] X 0.404 = 0.249 tons/yearJuárez Annual VOC emissions = [0.0408 kg/1000 liters X 117,338,000 liters] X 0.404 = 2.1 tons/yearJuárez Annual CO emissions = [0.24 kg/1000 liters X 117,338,000 liters] X 0.404 = 12.5 tons/yearJuárez Annual PM10 emissions = [0.054 kg/1000 liters X 117,338,000 liters] X 0.404 = 2.8 tons/yearJuárez Annual PM2.5 emissions = [0.054 kg/1000 liters X 117,338,000 liters] X 0.404 = 2.8 tons/year

O3 season daily NOx emissions = 91 tons/365 days = 498.2 lb/dayO3 season daily SOx emissions = 0.249 tons/365 days = 1.4 lb/dayO3 season daily VOC emissions = 2.1 tons/365 days = 11.7 lb/dayO3 season daily CO emissions = 12.5 tons/365 days = 68.6 lb/dayO3 season daily PM10 emissions = 2.8 tons/365 days = 15.3 lb/dayO3 season daily PM2.5 emissions = 2.8 tons/365 days = 15.3 lb/day

B-12

SOURCE TYPE: Area SOURCE CATEGORY: Fuel combustion - Commercial - Natural Gas

DESCRIPTION:Industrial combustion of natural gas. Emission sources include boilers, furnaces, heaters, IC engines, etc.



ACTIVITY DATA:• Annual natural gas quantity used in the commercial sector (ERG, 2003; SENER, 2000a; SENER, 2000c)

EMISSION FACTORS:• NOx = 1600 kg/106 m3 (U.S. EPA, 1995)• SO2 = 9.6 kg/106 m3 (U.S. EPA, 1995)• VOC = 88 kg/106 m3 (U.S. EPA, 1995)• CO = 1344 kg/106 m3 (U.S. EPA, 1995)• Total PM = 121.6 kg/106 m3 (U.S. EPA, 1995)

ASSUMPTIONS:• PM10 and PM2.5 are equal to total PM (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from commercial natural gas usage in Juarez, Chihuahua.

Annual quantity of natural gas used in the commercial sector in Juarez = 41.080 106 m3

Total NOx emissions = 1600 kg/106 m3 X 41.080 106 m3 = 72.4 tons/yrTotal SO2 emissions = 9.6 kg/106 m3 X 41.080 106 m3 = 0.4 tons/yrTotal VOC emissions = 88 kg/106 m3 X 41.080 106 m3 = 4 tons/yrTotal CO emissions = 1344 kg/106 m3 X 41.080 106 m3 = 60.8 tons/yrTotal PM10 emissions = 121.6 kg/106 m3 X 41.080 106 m3 = 5.5 tons/yrTotal PM2.5 emissions = 121.6 kg/106 m3 X 41.080 106 m3 = 5.5 tons/yr

O3 season daily NOx emissions = 72.4 tons/365 days = 396.7 lb/dayO3 season daily SO2 emissions = 0.4 tons/365 days = 2.2 lb/dayO3 season daily VOC emissions = 4 tons/365 days = 22 lb/dayO3 season daily CO emissions = 60.8 tons/365 days = 333.1 lb/dayO3 season daily PM10 emissions = 5.5 tons/365 days = 30.1 lb/dayO3 season daily PM2.5 emissions = 5.5 tons/365 days = 30.1 lb/day

B-13

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Commercial – Residual

DESCRIPTION:Commercial consumption of residual fuel (includes combustoleo, intermedio 15, and industrial combustible fuels).Emission sources include boilers, furnaces, heaters, IC engines, etc.



ACTIVITY DATA:• National level residual fuel usage in the commercial sector (ERG, 2003; SENER 2000a)• National and local level employee statistics for the commercial sector (CMAP 50-80) (INEGI, 1999)

EMISSION FACTORS:• NOx = 6.6 kg/1000 liters (U.S. EPA, 1995)• SO2 = 62.172 kg/1000 liters (U.S. EPA, 1995)• VOC = 0.1356 kg/1000 liters (U.S. EPA, 1995)• CO = 0.6 kg/1000 liters (U.S. EPA, 1995)• Total PM = 1.2 kg/1000 liters (U.S. EPA, 1995)

ASSUMPTIONS:• Sulfur content of residual fuel is assumed to be 3.3% by weight (PEMEX, 2002)• Particle size fraction for PM10 is 62% of total PM (U.S. EPA, 1995)• Particle size fraction for PM2.5 is 23% of total PM (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days

SAMPLE CALCULATIONS:Estimate annual emissions from residual fuel oil combustion in the commercial sector in Juárez, Chihuahua.

National emissions:National level residual fuel quantity used by the commercial sector = 792,926,901 liters/year

Annual NOx emissions = 6.6 kg/1000 liters X (792,926,901 liters) = 5,233,318 kg = 5,233.3 MgAnnual SO2 emissions = 62.172 kg/1000 liters X (792,926,901 liters) = 49,297,851 kg = 49,297.9 MgAnnual VOC emissions = 0.1356 kg/1000 liters X (792,926,901 liters) = 107,521 kg = 107.5 MgAnnual CO emissions = 0.6 kg/1000 liters X (792,926,901 liters) = 475,756 kg = 475.8 MgAnnual PM10 emissions = 0.62 X 1.2 kg/1000 liters X (792,926,901 liters) = 589,938 kg = 589.9 MgAnnual PM2.5 emissions = 0.23 X 1.2 kg/1000 liters X (792,926,901 liters) = 218,848 kg = 218.8 Mg

Juarez emissions:Ratio of Juarez employees to national employees in the commercial sector = 134,778/9,085,570 = 0.0148

Annual NOx emissions = 5,233.3 Mg X 0.0148 = 85.5 tonsAnnual SO2 emissions = 49,297.9 Mg X 0.0148 = 806 tonsAnnual VOC emissions = 107.5 Mg X 0.0148 = 1.8 tonsAnnual CO emissions = 475.8 Mg X 0.0148 = 7.8 tonsAnnual PM10 emissions = 589.9 Mg X 0.0148 = 9.6 tonsAnnual PM2.5 emissions = 218.8 Mg X 0.0148 = 3.6 tons

O3 season daily NOx emissions = 85.5 tons/365 days = 468.6 lb/dayO3 season daily SO2 emissions = 806 tons/365 days = 4,417 lb/dayO3 season daily VOC emissions = 1.8 tons/365 days = 9.9 lb/dayO3 season daily CO emissions = 7.8 tons/365 days = 42.8 lb/dayO3 season daily PM10 emissions = 9.6 tons/365 days = 52.7 lb/dayO3 season daily PM2.5 emissions = 3.6 tons/365 days = 19.8 lb/day

B-14

SOURCE TYPE: Industrial SOURCE CATEGORY: Concrete Plants

DESCRIPTION:Particulate matter, consisting primarily of cement and pozzolan dust and including some aggregate and sand dustemissions, is the pollutant of concern at concrete plants. All the emissions within a concrete plant are fugitive dustemissions, except for the emissions resulting from transfer of cement and pozzolan material to the silos.



ACTIVITY DATA:• Annual concrete production (W.O. #55 Survey)• Facility operational hours (W.O. #55 Survey)

EMISSION FACTORS:• PM10 = 0.058 lb/yd3 (U.S. EPA, 1995)

ASSUMPTIONS:• Assumed type of plant to be truck mix concrete plant• Particle size fraction for PM2.5 is 67.39% of PM10 (ARB, 1999)• O3 season daily emissions = annual emissions/facility operational days per year


Estimate annual emissions from a concrete plant located in Juárez, Chihuahua.

Annual production = 65,400 yd3

PM10 emissions = 0.058 lb/yd3 X 65,400 yd3 = 3,793.2 lb = 1.9 tons/yearPM2.5 emissions = 1.9 tons/year X 0.6739 = 1.3 tons/year

Operational days = 6 days/week X 52 weeks/year = 312 days/year

O3 season daily PM10 emissions = (1.9 tons/year)/(312 days/year) = 12.18 lb/dayO3 season daily PM2.5 emissions = (1.3 tons/year)/(312 days/year) = 8.33 lb/day

B-15

SOURCE TYPE: Area SOURCE CATEGORY: Construction Activities

DESCRIPTION:Building, road and other construction activities are a potentially significant source of fugitive PM emissions.Construction activities also include land clearing, drilling, blasting, ground excavation, earth moving, etc.



ACTIVITY DATA:Construction area (IMIP, 2000)

EMISSION FACTORSPM10 emission factors in Mg/hectare/month based on type of construction activity.• Residential - Low to moderate Activity = 0.0087• Residential - Moderate to heavy activity (trenching, earthmoving, drilling/blasting, compaction) = 0.72• Residential - Moderate to heavy activity (Trenching, prepaving, trucking of road-base) = 0.18• Residential - Heavy activity (earthmoving) = 0.96• Residential - Heavy activity (earthmoving, hauling, stockpiling) = 0.9• Commercial - Moderate to heavy activity (trenching, trucking of fill material) = 0.76• Industrial - Moderate activity (trenching, prepaving, small-scale earthmoving) = 0.072 (Radian, 1997)

ASSUMPTIONS:• Construction duration on all the sites is assumed to be 12 months• PM2.5 size fraction is 20.78% of PM10 (ARB, 1999)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from construction activities in Juárez, Chihuahua.

Residential - Low to moderate Activity:Total area of construction site(s) = 0.34 hectaresPM10 emissions = 0.0087 Mg/hectare-month X 0.34 hectares X 12 months = 0.035 Mg/year = 0.04 tons/yearPM2.5 emissions = 0.2078 X 0.04 tons/year = 0.008 tons/year

Residential - Moderate to heavy activity (trenching, earthmoving, drilling/blasting, compaction):Total area of construction site(s) = 6.96 hectaresPM10 emissions = 0.72 Mg/hectare-month X 6.96 hectares X 12 months = 60.12 Mg/year = 66.25 tons/yearPM2.5 emissions = 0.2078 X 66.25 tons/year = 13.8 tons/year

Total emissions in Juárez = Σ (emissions from each type of construction site(s))Total PM10 emissions = 0.04 tons + 66.25 tons + 0.37 tons + 0.02 tons + 10.62 tons + 0.11 tons = 77.4 tons/yearTotal annual PM2.5 emissions = 0.2078 X 77.4 tons = 16.1 tons/year

O3 season daily PM10 emissions = 77.4 tons/365 days = 0.21 tons/day = 424.1 lbs/dayO3 season daily PM2.5 emissions = 16.1 tons/365 days = 0.044 tons/day = 88.2 lbs/day

B-16

SOURCE TYPE: Area SOURCE CATEGORY: Consumer Solvents

DESCRIPTION:Personal care products (i.e., perfumes, hair sprays, etc.), automotive use products (i.e., windshield fluid, wax, glass cleaner, etc.),household cleaning products, adhesives, sealants, household pesticides, etc.

POLLUTANTS:VOC

METHOD:Per capita emission factors

ACTIVITY DATA:• Population (INEGI, 2000)

EMISSION FACTORS:• Per capita emission factor = 3.56 kg/person/yr (EIIP, 1996)

ASSUMPTIONS:• Mexico per capita consumer solvent use is identical to U.S. per capita consumer solvent use• O3 season daily emissions = annual emissions/365 days


Estimate the total annual emissions from consumer solvent usage in Juárez, Chihuahua.

• Population = 1,218,817• Per-capita emission factor = 3.56 kg/person/yr

Annual emissions = 1,218,817 X 3.56 = 4,338,988 kg = 4,339.0 Mg = 4,781.6 tons

O3 season daily emissions = 4,781.6 tons/365 days = 13.1 tons/day = 26,200.5 lbs/day

B-17

SOURCE TYPE: Area SOURCE CATEGORY: Domestic Ammonia

DESCRIPTION:Various domestic ammonia emissions – pet waste (dogs and cats), human respiration and perspiration, household ammonia use,cigarette smoke, diapers (cloth and disposable), and untreated human waste.

POLLUTANTS:NH3

METHOD:Per capita emission factors

ACTIVITY DATA:• Population (INEGI, 2000)• Infant Population (< 3 yrs) (INEGI, 2000)• Pet Ratios (Radian, 1997)

EMISSION FACTORS:Dogs = 2.49 kg/head-yr; Cats = 0.82 kg/head-yr; Cigarettes = 5.2 mg/cigarette; Human respiration = 0.0016 kg/person-yr; Humanperspiration = 0.25 kg/person-yr; Household ammonia use = 0.023 kg/person-yr; Diapers (cloth) = 3.13 kg/infant-yr; Diapers(disposable) = 0.16 kg/infant-yr; Human waste (homeless) = 4.99 kg/person-yr; and Human waste (other) = 0.023 kg/person-yr(Radian, 1997)

ASSUMPTIONS:• Dog ratios (animals/1,000 people) = 122 (urban); 167 (suburban); 220 (rural) (Radian, 1997)• Cat ratios (animals/1,000 people) = 83 (urban); 111 (suburban); 133 (rural) (Radian, 1997)• Urban areas (>800,000 people), suburban (200,000-800,000 people), rural (<200,000) (Radian, 1997)• 15% of the population smokes, with each individual smoking 20 cigarettes every day• Fraction of Juarez population under 3 years of age is 0.0657 (INEGI, 2000)• Diaper use is 50% cloth and 50% disposable diapers• 1% of the population is homeless• O3 season daily emissions = annual emissions/365 days


Estimate the total annual domestic ammonia emissions in Juárez, Chihuahua.

Annual domestic ammonia emissions in Juárez, Chihuahua (1,218,817 population):

• Dogs: (1,218,817 people)(122 dogs/1000 people)(2.49 kg NH3/dog-yr) = 370,252 kg = 370.3 Mg NH3 = 408.1 tons• Cats: (1,218,817 people)(83 cats/1000 people)(0.82 kg NH3/cat-yr) = 82,953 kg = 83.0 Mg NH3 = 91.5 tons• Respiration: (1,218,817 people)(0.0016 kg NH3/person-yr) = 1,950 kg = 2.0 Mg NH3 = 2.2 tons• Perspiration: (1,218,817 people)(0.25 kg NH3/person-yr) = 304,704 kg = 304.7 Mg NH3 = 335.8 tons• Household Ammonia Use: (1,218,817 people)(0.023 kg NH3/person-yr) = 28,033 kg = 28.0 Mg NH3 = 30.9 tons• Cigarette Smoke: (1,218,817 people)(0.15)(20 cigarettes/day)(365)(5.2 mg/cigarette) = 6,940 kg = 6.9 Mg NH3 = 7.6 tons• Cloth Diapers: (1,218,817 people)(0.0657)(0.5)(3.13 kg NH3/infant-yr) = 125,319 kg = 125.3 Mg NH3 = 138.1 tons• Disposable Diapers: (1,218,817 people)(0.0657)(0.5)(0.16 kg NH3/infant-yr) = 6,406 kg = 6.4 Mg NH3 = 7.1 tons• Human Waste (Homeless): (1,218,817 people)(0.01)(4.99 kg NH3/person-yr) = 60,819 kg = 60.8 Mg NH3 = 67 tons• Human Waste (Other): (1,218,817 people)(0.99)(0.023 kg NH3/person-yr) = 27,752 kg = 27.8 Mg NH3 = 30.6 tons

Total annual NH3 emissions in Juárez, Chihuahua = 408.1 tons + 91.5 tons + 2.2 tons + 335.8 tons + 30.9 tons + 7.6 tons + 138.1tons + 7.6 tons + 67 tons + 30.6 tons = 1,118.9 tons NH3

O3 season daily NH3 emissions = 1,118.9 tons/365 days = 3.07 tons/day = 6,131.0 lbs/day

B-18

SOURCE TYPE: Industrial SOURCE CATEGORY: Dry Cleaning

DESCRIPTION:Solvent evaporation during dry cleaning process, from leaks in the equipment, and from solvent recovery or disposalsystems. Only dry cleaning facilities using petroleum distillate organic solvents for cleaning are included in thiscategory.

POLLUTANTS:VOC


ACTIVITY DATA:• Solvent usage data (W.O. #55 Survey)• Facility operational schedule (W.O. #55 Survey)


ASSUMPTIONS:• VOC content of solvent is assumed to be 0.79 kg/liter• Density of varsol is assumed to be 0.77 kg/liter (U.S. EPA, 1973)• O3 season daily emissions = annual emissions/facility operational days per year

SAMPLE CALCULATIONS:Estimate annual emissions from a dry cleaning facility located in Juárez, Chihuahua.

Quantity of solvent used = 5200 liters/year

VOC emissions = 5200 liters/year X 0.79 kg/liter = 4.53 tons/year

Facility operational days per year = 312 days/year

O3 season daily VOC emissions = 4.53 tons/312 days = 29 lb/day

B-19

SOURCE TYPE: Area SOURCE CATEGORY: Fertilizer Application

DESCRIPTION:Ammonia emissions resulting from the use of nitrogen-based fertilizers.

POLLUTANTS:NH3


ACTIVITY DATA:Fertilizer usage (SAGARPA, 2002)

EMISSION FACTORS:• Ammonium sulfate – 97 kg/Mg total N (Battye et al., 1994)• Urea = 182 kg/Mg total N (Battye et al., 1994)• N-P-K = 48 kg/Mg total N (Battye et al., 1994)

ASSUMPTIONS:• Nitrogen content of ammonium sulfate is assumed to be 20.5% (Battye et al., 1994)• Nitrogen content of urea is assumed to be 46% (Battye et al., 1994)• Nitrogen content of N-P-K is assumed to be 18% (Battye et al., 1994)• O3 season daily emissions = annual emissions/365 days

SAMPLE CALCULATIONS:Estimate annual emissions from fertilizer application in Juárez, Chihuahua.

Total ammonium sulfate usage = 325 Mg/yearTotal urea usage = 270 Mg/yearTotal N-P-K usage = 214 Mg/year

Nitrogen in ammonium sulfate = 325 Mg X 0.205 = 66.6 MgNitrogen in urea = 270 Mg X 0.46 = 124.2 MgNitrogen in N-P-K = 214 Mg X 0.18 = 38.5 Mg

Annual NH3 emissions from fertilizer application = [(97 kg/Mg X 66.6 Mg) + (182 kg/Mg X 124.2 Mg) + (48 kg/Mg X 38.5Mg)]/1000 = 30.9 Mg = 34.1 tons

O3 season daily emissions = 34.1 tons/365 days = 0.09 tons/day = 186.7 lbs/day

B-20

SOURCE TYPE: Industrial SOURCE CATEGORY: Foundries

DESCRIPTION:Emissions from process sources and fugitive sources from foundries.



ACTIVITY DATA:• Quantity of metal processed (W.O. #55 Survey)• Facility operational schedule (W.O. #55 Survey)

EMISSION FACTORS:• Gray iron foundry, Cupola: Total PM = 6.9 kg/Mg; and CO = 73 kg/Mg (U.S. EPA, 1995)• Gray iron foundry, Cubilote oven: NOx = 0.16 kg/Mg; VOC = 0.09 kg/Mg; CO = 9.75 kg/Mg;

Total PM = 6.3 kg/Mg (U.S. EPA, 1995)• Gray iron foundry, Grinding & polishing machine: Total PM = 8.5 kg/Mg (U.S. EPA, 1995)• Steel foundry, Cubilote oven: PM10 = 0.45 kg/Mg (U.S. EPA, 1995)• Aluminum foundry, Bronze furnace: Total PM = 7.25 kg/Mg (U.S. EPA, 1995)• Aluminum foundry, Al furnace: Total PM = 2.15 kg/Mg (U.S. EPA, 1995)

ASSUMPTIONS:• Particle size fraction for PM10 is 60% of total PM; PM2.5 is 50 % of total PM (for Aluminum foundry) (ARB, 1999)• Particle size fraction for PM2.5 is 60% of PM10 (for steel foundry) (ARB, 1999)• For Cupola oven, PM10 size fraction is 0.901 of total PM; PM2.5 is 0.84 of total PM (ARB, 1999)• For Cubilote oven, PM10 is 0.90 of total PM; PM2.5 is 0.575 of total PM (U.S. EPA, 1995)• For grinding & polishing, PM0 is 0.70 of total PM; PM2.5 is 0.42 of total PM (U.S. EPA, 1995)• Capture efficiency (CAP) for the control device on the cupola iron furnace and the grinding & polishing machines is

90% (W.O #55 Survey)• Control efficiency (CE) for the control device on the cupola iron furnace and the grinding & polishing machines is

70% (W.O #55 Survey)• O3 season daily emissions = annual emissions/facility operational days per year


Estimate annual emissions from a gray iron foundry located in Juárez, Chihuahua.

Annual quantity of metal processed = 680.25 Mg

Emissions = Emission factor X activity data X (1 – (CAP X CE))

Cupola oven: CO emissions = 73 kg/Mg X 680.25 Mg X (1 – (0.9 X 0.7)) = 20.5 tons/year PM10 emissions = 6.9 kg/Mg X 680.25 Mg X 0.901 X (1 – (0.9 X 0.7)) = 1.7 tons/year PM2.5 emissions = 6.9 kg/Mg X 680.25 Mg X 0.84 X (1 – (0.9 X 0.7)) = 1.6 tons/year

Cubilote oven: NOx emissions = 0.16 kg/Mg X 680.25 Mg = 0.12 tons/year VOC emissions = 0.09 kg/Mg X 680.25 Mg = 0.067 tons/year CO emissions = 9.75 kg/Mg X 680.25 Mg = 7.3 tons/year PM10 emissions = 6.3 kg/Mg X 680.25 Mg X 0.90 = 4.25 tons/year PM2.5 emissions = 6.3 kg/Mg X 680.25 Mg X 0.575 = 2.71 tons/year

Number of Grinding & polishing machines = 6Quantity of metal processed by each machine = 176.865 Mg/yearEmissions = Emission factor X activity data X (1 – (CAP X CE))

B-21

FOUNDRIES – CONTINUED

Grinding & polishing Machines: PM10 emissions = 8.5 kg/Mg X 176.865 Mg X 0.70 X (1 – (0.9 X 0.7)) = 0.43 tons/year PM2.5 emissions = 8.5 kg/Mg X 176.865 Mg X 0.42 X (1 – (0.9 X 0.7)) = 0.26 tons

Total emissions from all grinding & polishing machines: PM10 emissions = 0.43 tons/year X 6 = 2.58 tons/yearPM2.5 emissions = 0.26 tons/year X 6 = 1.56 tons/year

Total annual NOx emissions from foundry = 0.12 tons/yearTotal annual VOC emissions from foundry = 0.07 tons/yearTotal annual CO emissions from foundry = 20.5 tons + 7.3 tons = 27.8 tons/yearTotal annual PM10 emissions from foundry = 1.7 tons + 4.25 tons + 2.58 tons = 8.53 tons/yearTotal annual PM2.5 emissions from foundry = 1.6 tons + 2.71 tons + 1.56 tons = 5.87 tons/year


O3 season daily NOx emissions = 0.12 tons/260 days = 0.92 lb/dayO3 season daily VOC emissions = 0.07 tons/260 days = 0.52 lb/dayO3 season daily CO emissions = 27.8 tons/260 days = 212.05 lb/dayO3 season daily PM10 emissions = 8.53 tons/260 days = 65.60 lb/dayO3 season daily PM2.5 emissions = 5.87 tons/260 days = 45.20 lb/day

B-22

SOURCE TYPE: Industrial SOURCE CATEGORY: Gas/Diesel Marketing

DESCRIPTION:This source category relates to the emissions occurring during the transportation and distribution of gasoline from bulkterminals to service station. This category includes tank truck loading at bulk terminals, tank truck transit losses, StageI loading losses (from tank truck to underground tank), tank breathing, and Stage II loading losses (from undergroundtank to vehicle – including spillage).

POLLUTANTS:VOC


ACTIVITY DATA:• Annual gasoline sales (W.O. #55 Survey)

EMISSION FACTORS:• Stage I: submerged fill, VOC = 880 mg/liter; submerged fill with vapor recovery, VOC = 40 mg/liter• Stage II: uncontrolled VOC = 1320 mg/liter; spillage, VOC = 80 mg/liter• Underground tank breathing and emptying losses: VOC = 120 mg/liter (U.S. EPA, 1995)

ASSUMPTIONS:• O3 season daily emissions = (annual emissions X percentage of annual production occurring in any month in the

ozone season)/(number of days in that month)


Estimate annual emissions from a gasoline distribution facility in Juárez, Chihuahua.

Quantity of gasoline sold = 7,000,000 liters/year

Type of filling = submerged

Stage I VOC emissions = 880 mg/liter X 7,000,000 liters = 6.16 Mg/year = 6.78 tons/year

Stage II VOC emissions = (1320 mg/liter + 80 mg/liter) X 7,000,000 liters = 9.8 Mg/year = 10.8 tons/year

Underground tank breathing and emptying losses = 120 mg/liter X 7,000,000 liters = 0.84 Mg/year = 0.93 tons/year

Total annual VOC emissions = 6.78 tons + 10.8 tons + 0.93 tons = 18.51 tons

O3 season daily VOC emissions = (18.51 tons X 0.083)/30 = 0.05 tons/day = 102.4 lb/day

B-23

SOURCE TYPE: Industrial SOURCE CATEGORY: Grain Mills

DESCRIPTION:Particulate emissions from grain storage, handling, and processing facilities.



ACTIVITY DATA:• Annual production data (SAGARPA, 2002)• Facility operational schedule (W.O. #55 Survey)

EMISSION FACTORS:• Grain receiving: PM10 = 0.0295 kg/Mg of grain; PM2.5 = 0.005 kg/Mg of grain (U.S. EPA, 1995)• Grain handling: PM10 = 0.017 kg/Mg of grain; PM2.5 = 0.0029 kg/Mg of grain (U.S. EPA, 1995)• Cleaning house: Total PM = 0.006 kg/Mg of grain (U.S. EPA, 1995)• Wheat milling: Total PM = 35 kg/Mg of grain (U.S. EPA, 1995)

ASSUMPTIONS:• Annual production of grain mills is assumed to be equal to the installed capacity of the mills (SAGARPA, 2002)• Particle size fraction for PM10 is 50% of total PM for cleaning house and wheat milling (U.S. EPA, 1995)• No PM2.5 emissions for cleaning house and wheat milling operations (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from a wheat milling facility in Juárez, Chihuahua.

Annual facility production = 22,000 tons/year = 19,958.1 Mg/year

PM10 emissions from grain receiving = 0.0295 kg/Mg X 19,958.1 Mg = 0.65 tons/yearPM2.5 emissions from grain receiving = 0.005 kg/Mg X 19,958.1 Mg = 0.11 tons/year

PM10 emissions from grain handling = 0.017 kg/Mg X 19,958.1 Mg = 0.37 tons/yearPM2.5 emissions from grain handling = 0.0029 kg/Mg X 19,958.1 Mg = 0.064 tons/year

PM10 emissions from cleaning house = 0.006 kg/Mg X 19,958.1 Mg X 0.50 = 0.066 tons/year

PM10 emissions from wheat milling = 35 kg/Mg X 19,958.1 Mg X 0.50 = 384.9 tons/year

Total annual PM10 emissions from the facility = 0.65 tons + 0.37 tons + 0.066 tons + 384.9 tons = 385.99 tons/yearTotal annual PM2.5 emissions from the facility = 0.11 tons + 0.064 tons = 0.17 tons/year

O3 season daily PM10 emissions = 385.99 tons/365 days = 1.06 tons/day = 2,115 lb/dayO3 season daily PM2.5 emissions = 0.17 tons/365 days = 0.93 lb/day

B-24

SOURCE TYPE: Industrial SOURCE CATEGORY: Graphic Arts

DESCRIPTION:Graphic arts include operations that are involved in the printing of newspaper, magazines, books, and other printedmaterial.

POLLUTANTS:VOC


ACTIVITY DATA:• Ink usage data (W.O. #55 Survey)• Facility operational schedule (W.O. #55 Survey)


ASSUMPTIONS:• VOC content of ink and other solvents is assumed to be 40% (U.S. EPA, 1995)• The density of ink is assumed to be 7.33 lb/gallon (0.88 kg/liter)• Density of fountain concentrate is assumed to be 0.224 kg/liter (W.O. #55 Survey)• Density of cleanup solvent, stain remover, and cleaner is assumed to be 0.742 kg/liter (U.S. EPA, 1995)• Density of thinner is assumed to be 0.45 kg/liter (ANAFAPYT, 2003)• Density of gasoline is assumed to be 0.68 kg/liter (PEMEX, 2002)• O3 season daily emissions = annual emissions/facility operational days per year

SAMPLE CALCULATIONS:Estimate annual emissions from a graphic arts facility in Juárez, Chihuahua

Quantity of ink used = 42.68 kg/yearQuantity of cleanup solvent used = 8.162 kg/year

VOC emissions = (42.68 + 8.162) kg/year X 0.40 = 0.0224 tons/year


O3 season daily VOC emissions = 0.0224 tons/230 days = 0.19 lb/day

B-25

SOURCE TYPE: Industrial SOURCE CATEGORY: Ice Plant

DESCRIPTION:Ice plants use ammonia as a combustible to make ice. They have storage tanks in which ammonia is stored.

POLLUTANTS:NH3

METHOD:Material Balance

ACTIVITY DATA:• Quantity of ammonia used (W.O. #55 Survey)


ASSUMPTIONS:• 100% of the ammonia used is emitted to the atmosphere• O3 season daily emissions = (annual emissions X percentage of annual production occurring in any month in the


SAMPLE CALCULATIONS:Estimate annual ammonia emissions from an ice plant in Juárez, Chihuahua.

Amount of ammonia used at plant = 1,000 kg/yearAnnual ammonia emissions for plant = amount of ammonia used = 1,000 kg/year = 1.1 tons/year

Month with highest production rate during the ozone season = JuneProduction in June = 20% of annual productionNumber of days in June = 30

Ozone season daily emissions = (1.1 X 0.20)/30 = 0.0073 tons/day = 14.67 lbs/day

B-26

SOURCE TYPE: Industrial SOURCE CATEGORY: Landfill

DESCRIPTION:Fugitive dust emissions due to vehicle/truck traffic and compacting operations at municipal landfills.



ACTIVITY DATA:Quantity of waste dumped in the landfill (W.O. #55 Survey)Truck VMT (W.O. #55 Survey)

EMISSION FACTORS:• Truck transport of debris/waste (PM10) = 2.386 lb/VMT; Truck transport of debris/waste (PM2.5) = 0.3487 lb/VMT;

Truck unloading of debris/waste (PM10) = 0.0000745 kg/Mg; Truck unloading of debris/waste (PM2.5) = 0.0000234kg/Mg

• Bulldozing (Total PM) = 3.94 lbs/hr; Bulldozing (PM15) = 1.00 lbs/hr• Truck dumping of fill material (PM10) = 0.0000745 kg/Mg; Truck dumping of fill material (PM2.5) = 0.0000234 kg/Mg• Compacting (Total PM) = 3.94 lbs/hr; Compacting (PM15) = 1.00 lb/hr (all U.S. EPA, 1995)

ASSUMPTIONS:• Average weight of truck is assumed to be 10 Mg (U.S. EPA, 2002a)• Particle size fraction for PM10 is 75% of PM15 (U.S. EPA, 1995)• Particle size fraction for PM2.5 is 10.5% of TSP (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/yearly facility operational days• 1 Mg of fill material is land filled for every 5 Mg of waste dumped


Estimate annual emissions from a landfill in Juárez, Chihuahua.

Quantity of waste dumped = 624,000 Mg/yearFill material dumped = 124,800 Mg/year

PM10 emissions from truck transport of waste = 2.386 lb/VMT X 58.032 VMT = 0.07 tons/yearPM2.5 emissions from truck transport of waste = 0.3487 lb/VMT X 58.032 VMT = 0.01 tons/year

PM10 emissions from truck unloading of waste = 0.0000745 kg/Mg X 624,000 Mg = 0.05 tons/yearPM2.5 emissions from truck unloading of waste = 0.0000234 kg/Mg X 624,000 Mg = 0.02 tons/year

PM10 emissions from truck dumping of fill material = 0.0000745 kg/Mg X 124,800 Mg = 0.01 tons/yearPM2.5 emissions from truck dumping of fill material = 0.0000234 kg/Mg X 124,800 Mg = 0.0033 tons/year

PM10 emissions from bulldozing = 1.00 lb/hr X 3440 hrs/year X 0.75 = 1.29 tons/yearPm2.5 emissions from bulldozing = 3.94 lb/hr X 3440 hrs/year X 0.105 = 0.71 tons/year

PM10 emissions from compacting = 1.00 lb/hr X 12,235 hrs/year X 0.75 = 4.61 tons/yearPM2.5 emissions from compacting = 3.94 lb/hr X 12,235 hrs/year X 0.105 = 2.53 tons/year

Total PM10 emissions = 0.07 tons + 0.05 tons + 0.01 tons + 1.29 tons + 4.61 tons = 6.03 tons/yearTotal PM2.5 emissions = 0.01 tons + 0.02 tons + 0.0033 tons + 0.71 tons + 2.53 tons = 3.3 tons/year

Facility operational days = 6 days/week X 52 weeks/year = 312 days/yearO3 season daily PM10 emissions = 6.03 tons/312 days = 0.02 tons/day = 38.7 lb/dayO3 season daily PM2.5 emissions = 3.3 tons/312 days = 0.0105 tons/day = 21.1 lb/day

B-27

SOURCE TYPE: Area SOURCE CATEGORY: Livestock Ammonia

DESCRIPTION:The sources of ammonia emissions in this category are livestock and domesticated farm and dairy animals.

POLLUTANTS:NH3

METHOD:Livestock population statistics and emission factors.

ACTIVITY DATA:• Livestock population (INEGI, 1999)• Cattle population (SAGARPA, 2002)

EMISSION FACTORS:• Cattle = 39.7 kg/head-yr; pigs = 11.0 kg/head-yr; sheep = 3.4 kg/head-yr; goats = 6.4 kg/head-yr;

horses = 12.2 kg/head-yr; chickens = 0.31 kg/head-yr; turkeys = 0.86 kg/head-yr. (Radian, 1997; Battye et al., 1994)

ASSUMPTIONS:• Livestock statistics for a region represent the year-round livestock population for that region.• O3 season daily emissions = annual emissions/365 days


Estimate the total annual ammonia emissions from animal waste in Juarez, Chihuahua.

• Cattle: (54,000 head)(39.7 kg NH3/head-yr) = 2,143,800 kg = 2,143.8 Mg NH3 = 2,362.5 tons/year• Pigs: (11,320 head)(11.0 kg NH3/head-yr) = 124,520 kg = 124.5 Mg NH3 = 137.2 tons/year• Sheep: (1,620 head)(3.4 kg NH3/head-yr) = 5,508 kg = 5.5 Mg NH3 = 6.1 tons/year• Goats: (1,560 head)(6.4 kg NH3/head-yr) = 9,984 kg = 10.0 Mg NH3 = 11.0 tons/year• Horses: (1,245 head)(12.2 kg NH3/head-yr) = 15,189 kg = 15.2 Mg NH3 = 16.8 tons/year• Chicken: (7,821 head)(0.31 kg NH3/head-yr) = 2,424 kg = 2.4 Mg NH3 = 2.6 tons/year• Turkey: (0 head)(0.86 kg NH3/head-yr) = 0 kg = 0.0 Mg NH3 = 0.0 tons/year

Total annual NH3 emissions = 2,362.5 tons + 137.2 tons + 6.1 tons + 11.0 tons + 16.8 tons + 2.6 tons = 2,536.2 tons

O3 season daily emissions = 2,536.2 tons/365 days = 6.9 tons/day = 13,897.0 lbs/day

B-28

SOURCE TYPE: Industrial SOURCE CATEGORY: LPG Marketing

DESCRIPTION:LPG marketing emissions are due to leaks and evaporative losses from the transport, storage and distribution systems.

POLLUTANTS: VOC

METHOD:Emission factor

ACTIVITY DATA:Annual LPG sales (W.O. #55 Survey)

EMISSION FACTORS:• LPG leakage emission factor is 3.6 % (PEMEX, 1997)

ASSUMPTIONS:• LPG density was assumed to be 0.507 kg/liter (U.S. EPA, 1995)• VOC emissions are 98.4% of TOG emissions (Radian, 1997)• LPG transport, storage, and distribution practices in Juárez are assumed to be similar to those in Mexico City (as

described in PEMEX, 1997)• O3 season daily emissions = (annual emissions X percentage of annual production occurring in any month in the



Estimate emissions from LPG distribution in Juárez, Chihuahua.

Annual LPG sales = 12,000,000 liters

LPG density = 0.507 kg/literAnnual LPG usage = 12,000,000 X 0.507 = 6,084 Mg = 6,705.6 tons/year

TOG emission factor = 3.6%

Annual TOG emissions = 6,705.6 tons X 0.036 = 241.4 tons

Annual VOC emissions = 241.4 tons X 0.984 = 237.5 tons

O3 season daily VOC emissions = (237.5 tons X 0.083)/30 days = 1,314.2 lb/day

B-29

SOURCE TYPE: Area SOURCE CATEGORY: Open Burning

DESCRIPTION:This category includes emissions resulting from open burning of solid municipal residential waste. This category doesnot include agricultural burning and confined burning of solid waste.



ACTIVITY DATA:• Population (INEGI, 1999)• Combustible content in waste (García Gutiérrez et al., 2001)

EMISSION FACTORS:• NOx = 6 lb/ton waste; SOx = 1 lb/ton waste; VOC = 8.556 lb/ton waste; CO = 85 lb/ton waste; PM10 = 38 lb/ton

waste; and PM2.5 = 34.8 lb/ton waste (EIIP, 2001a)

ASSUMPTIONS:• Per-capita waste generation rate is assumed to be 0.96 kg/person/day (García Gutiérrez et al., 2001)• Fraction of waste informally disposed is assumed to be 0.4075 (García Gutiérrez et al., 2001)• The state-level waste quantities burned identified in García Gutiérrez et al., 2001 included cardboard, fine wastes,

rubber, paper, plastic film, hard plastic, garden wastes, and rags. These quantities were adjusted to account forthe “other waste” category. The non-combustible portion of waste included bone, cans, ferrous and non-ferrousmetals, and colored and transparent glass.

• Fraction of informally disposed waste that is burned is assumed to be 0.06 (García Gutiérrez et al., 2001)• Fraction of combustibles in burned waste is assumed to be 0.8851 (García Gutiérrez et al., 2001)• Waste compositions were developed for five different zones: Frontier North (Baja California, Coahuila, Chihuahua,

Nuevo Leon, Sonora, and Tamaulipas); North (Aguascalientes, Baja California Sur, Colima, Durango, Jalisco,Nayarit, San Luis Potosi, Sinaloa, and Zacatecas); South (Campeche, Chiapas, Oaxaca, Quintana Roo, Tabasco,Veracruz, and Yucatan); Central (Guanajuato, Guerrero, Hidalgo, Michoacan, Morelos, Puebla, Queretaro, andTlaxcala); and DF (Distrito Federal and Mexico).

• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from open burning of solid waste in Juarez, Chihuahua.

Population of Juarez = 1,218,817Waste generated = 0.96 kg/person/day X 1,218,817 = 1,170 Mg/day = 470,635 tons/yearWaste informally disposed = 0.4075 X 470,635 tons/year = 191,783.8 tons/yearInformally disposed waste that is burned = 0.06 X 191,783.8 tons/year = 11,507 tons/yearWaste that is actually burned (combustible portion) = 0.8851 X 11,507 tons/year = 10,184.9 tons/year

Annual NOx emissions = 6 lb/ton X 10,184.9 tons = 30.6 tonsAnnual SOx emissions = 1 lb/ton X 10,184.9 tons = 5.1 tonsAnnual VOC emissions = 8.556 lb/ton X 10,184.9 tons = 43.6 tonsAnnual CO emissions = 85 lb/ton X 10,184.9 tons = 432.9 tonsAnnual PM10 emissions = 38 lb/ton X 10,184.9 tons = 193.5 tonsAnnual PM2.5 emissions = 34.8 lb/ton X 10,184.9 tons = 177.2 tons

O3 season daily NOx emissions = 30.6 tons/365 days = 0.084 tons/day = 167.7 lb/dayO3 season daily SOx emissions = 5.1 tons/365 days = 0.014 tons/day = 27.9 lb/dayO3 season daily VOC emissions = 43.6 tons/365 days = 0.12 tons/day = 239 lb/dayO3 season daily CO emissions = 432.9 tons/365 days = 1.19 tons/day = 2,372 lb/dayO3 season daily PM10 emissions = 193.5 tons/365 days = 0.53 tons/day = 1,060 lb/dayO3 season daily PM2.5 emissions = 177.2 tons/365 days = 0.49 tons/day = 971 lb/day

B-30

SOURCE TYPE: Area SOURCE CATEGORY: Paved Road Dust

DESCRIPTION:Dust re-entrained by vehicle travel over paved road surfaces.



ACTIVITY DATA:• Population (INEGI, 2000)• Per capita VKT rates (TransEngineering, 2003)• Paved and unpaved VKT split (TransEngineering, 2003)• Silt loading (IMIP, 2000)• Precipitation data (NCDC, 2003)

EMISSION FACTORS:

Calculated using AP-42 emission factor equation:

EF (g/VKT) = k(sL/2)0.65(W/3)1.5(1 – (p/4n))

k = particle size multiplier (4.6 for PM10 and 1.1 for PM2.5); sL = silt loading; W = average vehicle weight; p = number ofprecipitation days during period of interest; and n = total number of days during period of interest

ASSUMPTIONS:• Silt loading of 6 g/m2 is average value from Ciudad Juárez study (IMIP, 2000)• Average vehicle weight of 1.5 tons (Gonzalez-Ayala, 2003)• Period of interest was the 1999 inventory year (i.e., 365 days)• Urban transport fraction is assumed to be 0.4 (U.S. EPA, 2002b)• O3 season daily emissions = EFOzone season X O3 season VKT


Estimate the total paved road dust emissions in Juárez, Chihuahua.

• Per capita VKT rate (6.2 VKT/day-person for Juarez, population 1,218,817)• Paved VKT split (0.95 for Juarez, population 1,218,817)

Paved VKT = 1,218,817 X 6.2 VKT/day X 365 days X 0.95 = 2,620,273,727 VKT/yearPaved VKTozone season = 1,218,817 X 6.2 VKT/day X 184 days X 0.95 = 1,320,905,112 VKT

Emission factorsEF (PM10) = 4.6(6/2)0.65(1.5/3)1.5(1 – 45/1460) = 3.193 g/VKTEF (PM2.5) = 1.1(6/2)0.65(1.5/3)1.5(1 – 45/1460) = 0.7635 g/VKT

EFOzone season(PM10) = 4.6(6/2)0.65(1.5/3)1.5(1 – 34/736) = 3.1423 g/VKTEFOzone season(PM2.5) = 1.1(6/2)0.65(1.5/3)1.5(1 – 34/736) = 0.7514 g/VKT

Total PM10 emissions in Juarez = 2,620,273,727 VKT X 3.193 g/VKT X 0.4 = 3,346.6 Mg = 3,689.6 Tons/yearTotal PM2.5 emissions in Juarez = 2,620,273,727 VKT X 0.7635 g/VKT X 0.4 = 800.3 Mg = 882.3 Tons/year

O3 season daily PM10 emissions = (1,320,905,112 VKT X 3.1423 g/VKT X 0.4)/184 days = 9.95 Tons = 19,896 lb/dayO3 season daily PM2.5 emissions = (1,320,905,112 VKT X 0.7514 g/VKT X 0.4)/184 days = 2.4 Tons = 4,758 lb/day

B-31

SOURCE TYPE: Area SOURCE CATEGORY: Pesticide Application

DESCRIPTION:VOC emissions occur due to the evaporation of active and inert pesticide ingredients.

POLLUTANTS:VOC


ACTIVITY DATA:Pesticide type and usage data (SAGARPA, 2002)

EMISSION FACTORS:• Surface application: If vapor pressure is 1 X 10-4 mm Hg to 1 X 10-6 mm Hg, Emission factor = 350 kg/Mg

If vapor pressure is > 1 X 10-4 mm Hg, Emission factor = 580 kg/Mg (U.S. EPA, 1995)

ASSUMPTIONS:• Pesticide application method is assumed to be surface application method• Pesticide application area was assumed to be 1200 hectares for Cipermetrine, Lucadrin, Ostation, and Lursban (SAGARPA, 2002)• Formulation type for all the pesticides except Malathion was assumed to be liquid, % VOC = 20% (U.S. EPA, 1995)• Density of Malathion is assumed to be 1.2 kg/liter (CDMS, 2003)• Density of Lursban is assumed to be 1.17 kg/liter (CDMS, 2003)• Density of Cipermetrine is assumed to be 0.9 kg/liter (CDMS, 2003)• Density of Lucadrin and Ostation is assumed to be 1 kg/liter; midpoint value for range of pesticide densities

(CDMS, 2003)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from pesticide application in Juárez, Chihuahua.

Annual quantity of Malathion used = 450 liters = 450 liters X 1.2 kg/liter = 540 kgActive ingredient in Malathion = 56% = 0.56 X 540 kg = 302.4 kg = 0.3 MgVOC emission factor = 350 kg/Mg (vapor pressure = 8 x 10-6 mm Hg)VOC emissions from active ingredient = 350 kg/Mg X 0.3 Mg = 105.84 kg

Inert ingredient in Malathion = 44% = 0.44 X 540 kg = 237.6 kgVOC content of the inert ingredient = 40%VOC emissions from the inert ingredient in Malathion = 237.6 kg X 0.40 = 95 kg

Total VOC emissions from application of Malathion = 105.84 kg + 95 kg = 200.84 kg = 0.2 Mg = 0.22 tons/year

Total VOC emissions from application of pesticides = Σ (VOC emissions from individual pesticides)= 0.22 tons + 0.71 tons + 1.36 tons + 1.06 tons= 3.4 tons

O3 season daily emissions = 3.4 tons/365 days = 18.4 lbs/day

B-32

SOURCE TYPE: Industrial SOURCE CATEGORY: Quarries

DESCRIPTION:Particulate emissions occur during stone quarrying and processing operations. They originate from process sources aswell as fugitive dust sources.



ACTIVITY DATA:Quantity of rock crushed (W.O. #55 Survey)

EMISSION FACTORS:Emission factors for PM10 emissions are:• Primary crusher = 0.00025 lb/tons; primary and secondary screening = 0.015 lb/ton; belt conveyor = 0.0014 lb/ton• Storage piles: E = K*(0.0032)*{[(U/5)^1.3]/[(M/2)^1.4]} lb/ton; PM10 = 0.00073 lb/ton; PM2.5 = 0.000229 lb/ton (U.S.

EPA, 1995)

ASSUMPTIONS:• Particle size fraction for PM2.5 is 20% of PM10 (EIIP, 2003c)• Particle size multiplier (K) for PM10 is 0.35 and for PM2.5 it is 0.11 (U.S. EPA, 1995)• Mean wind speed (U) is 3.79 mph (NCDC, 2003)• Material moisture content (M) is 2.1% (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/yearly operational days


Estimate emissions from a quarry located in Juárez, Chihuahua.

Quantity of rock crushed = 80,000 Mg/year = 88,160 tons/yearPM10 emissions from primary crusher = 0.00025 lb/ton X 88,160 tons = 0.0098 tons/yearPM10 emissions from primary screening = 0.015 lb/ton X 88,160 tons = 0.66 tons/yearPM10 emissions from secondary screening = 0.66 tons/yearPM10 emissions from belt conveyor 1 = 0.0014 lb/ton X 88,160 tons = 0.056 tons/yearPM10 emissions from belt conveyor 2 = 0.0014 lb/ton X 88,160 tons = 0.056 tons/yearPM10 emissions from belt conveyor 3 = 0.0014 lb/ton X 44,080 tons = 0.028 tons/yearPM10 emissions from storage piles = 0.00073 lb/ton X 88,160 tons = 0.0292 tons/yearPM2.5 emissions from storage piles = 0.000229 lb/ton X 88,160 tons = 0.01 tons/year

Total PM10 emissions = 0.0098 + 0.66 + 0.66 + 0.056 + 0.056 + 0.028 + 0.0292 = 1.49 tons/yearTotal PM2.5 emissions = (0.20 X 1.47 tons/year) + 0.01 = 0.30 tons/year

Yearly operational days for quarry = 48 days/yearYearly operational days for storage piles = 364 days/year

O3 season daily PM10 emissions = (1.35 tons/48 days) + (0.0292 tons/364 days) = 0.028 tons/day = 56.4 lb/dayO3 season daily PM2.5 emissions = (0.30 tons/48 days) + (0.01 tons/364 days) = 0.0063 tons/day = 12.5 lb/day

B-33

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Residential – LPG

DESCRIPTION:Residential combustion of liquefied petroleum gas (LPG) for heating and cooking.



ACTIVITY DATA:• State level LPG usage by sector (ERG, 2003; SENER, 2000a; SENER, 2000b)• Housing data (INEGI, 2000)

EMISSION FACTORS:• NOx – 1.74 kg/1000 liters (U.S. EPA, 1995)• SOx – 0.00477 kg/1000 liters (U.S. EPA, 1995)• VOC – 0.0408 kg/1000 liters (U.S. EPA, 1995)• CO – 0.24 kg/1000 liters (U.S. EPA, 1995)• Total PM – 0.054 kg/1000 liters (U.S. EPA, 1995)

ASSUMPTIONS:• LPG is assumed to contain 60% propane and 40% butane• Sulfur content of propane fraction and butane fraction is assumed to be 0.4114 gr/100 ft3

• Particle size fractions for PM10 and PM2.5 are 100% of total PM (U.S. EPA, 1995)• Residential LPG combustion emission factors are equivalent to commercial LPG combustion emission factors


Estimate annual emissions from residential LPG usage in Juárez, Chihuahua.

Residential LPG usage in Chihuahua = 591,902 m3/year = 591,902,000 liters/year

Juárez emissions = state level emissions X (ratio of local level number of houses to state level number of houses)Ratio of Juárez households to state households = 293,752/755,959 = 0.389

Juárez Annual NOx emissions = 1.74 kg/1000 liters X 591,902,000 liters X 0.389 = 441 tons/yearJuárez Annual SOx emissions = 0.00477 kg/1000 liters X 591,902,000 liters X 0.389 = 1.2 tons/yearJuárez Annual VOC emissions = 0.0408 kg/1000 liters X 591,902,000 liters X 0.389 = 10.34 tons/yearJuárez Annual CO emissions = 0.24 kg/1000 liters X 591,902,000 liters X 0.389 = 60.8 tons/yearJuárez Annual PM10 emissions = 0.054 kg/1000 liters X 591,902,000 liters X 0.389 = 13.7 tons/yearJuárez Annual PM2.5 emissions = 0.054 kg/1000 liters X 591,902,000 liters X 0.389 = 13.7 tons/year

O3 season daily NOx emissions = 441 tons/365 days = 2,416.7 lb/dayO3 season daily SOx emissions = 1.2 tons/365 days = 6.6 lb/dayO3 season daily VOC emissions = 10.34 tons/365 days = 56.6 lb/dayO3 season daily CO emissions = 60.8 tons/365 days = 333.2 lb/dayO3 season daily PM10 emissions = 13.7 tons/365 days = 75 lb/dayO3 season daily PM2.5 emissions = 13.7 tons/365 days = 75 lb/day

B-34

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Residential - Natural Gas

DESCRIPTION:Residential combustion of natural gas for heating and cooking.


METHOD:Emissions factors

ACTIVITY DATA:• Annual natural gas quantity used in residential homes (ERG, 2003; SENER, 2000a; SENER, 2000c)

EMISSION FACTORS:• NOx = 1504 kg/106 m3 (U.S. EPA, 1995)• SO2 = 9.6 kg/106 m3 (U.S. EPA, 1995)• VOC = 88 kg/106 m3 (U.S. EPA, 1995)• CO = 640 kg/106 m3 (U.S. EPA, 1995)• Total PM = 121.6 kg/106 m3 (U.S. EPA, 1995)

ASSUMPTIONS:• PM10 and PM2.5 are equal to total PM (U.S. EPA, 1995)• O3 season daily emissions = annual emissions/365 days


Estimate annual emissions from residential natural gas usage in Juárez, Chihuahua.

Annual quantity of natural gas used in the residential sector in Juárez = 110.395 106 m3

Total NOx emissions = 1504 kg/106 m3 X 110.395 106 m3 = 182.97 tons/yrTotal SO2 emissions = 9.6 kg/106 m3 X 110.395 106 m3 = 1.17 tons/yrTotal VOC emissions = 88 kg/106 m3 X 110.395 106 m3 = 10.71 tons/yrTotal CO emissions = 640 kg/106 m3 X 110.395 106 m3 = 77.86 tons/yrTotal PM10 emissions = 121.6 kg/106 m3 X 110.395 106 m3 = 14.79 tons/yrTotal PM2.5 emissions = 121.6 kg/106 m3 X 110.395 106 m3 = 14.79 tons/yr

O3 season daily NOx emissions = 182.97 tons/365 days = 1,002.6 lb/dayO3 season daily SO2 emissions = 1.17 tons/365 days = 6.4 lb/dayO3 season daily VOC emissions = 10.71 tons/365 days = 58.7 lb/dayO3 season daily CO emissions = 77.86 tons/365 days = 426.6 lb/dayO3 season daily PM10 emissions = 14.79 tons/365 days = 81 lb/dayO3 season daily PM2.5 emissions = 14.79 tons/365 days = 81 lb/day

B-35

SOURCE TYPE: Area SOURCE CATEGORY: Fuel Combustion – Residential – Wood

DESCRIPTION:Wood is used as a fuel in residential homes for cooking and heating.


METHOD:Emission factors and number of households-based allocation

ACTIVITY DATA:• National wood consumption (ERG, 2003; SENER, 2000a)• Number of houses (INEGI, 2000)

EMISSION FACTORS:• NOx = 1.4 kg/Mg (U.S. EPA, 1995)• SOx = 0.2 kg/Mg (U.S. EPA, 1995)• VOC = 26.5 kg/Mg (U.S. EPA, 1995)• CO = 15.4 kg/Mg (U.S. EPA, 1995)• PM10 =15.3 kg/Mg (U.S. EPA, 1995)

ASSUMPTIONS:• O3 season daily emissions = annual emissions/365 days• The particle size fraction for PM2.5 is 0.9627 of PM10 (ARB,1999)


Estimate the total residential wood combustion emissions in Juárez, Chihuahua.National residential wood consumption = 17,224,700 Mg/yr• National NOx Emissions = 17,224,700 Mg/yr X 1.4 kg/Mg = 24,114,580 kg = 24,114.6 Mg NOx• National SOx Emissions = 17,224,700 Mg/yr X 0.2 kg/Mg = 3,444,940 kg = 3,444.9 Mg SOx• National VOC Emissions = 17,224,700 Mg/yr X 26.5 kg/Mg = 456,454,550 kg = 456,454.6 Mg VOC• National CO Emissions = 17,224,700 Mg/yr X 115.4 kg/Mg = 1,987,730,380 kg = 1,987,730.4 Mg CO• National PM10 Emissions = 17,224,700 Mg/yr X 15.3 kg/Mg = 263,537,910 kg = 263,537.9 Mg PM10• National PM2.5 Emissions = 0.9627 X 263,537.9 Mg = 253,707.9 Mg PM2.5

Total number of households in Mexico = 22,359,998Number of houses in Juarez = 293,752Juárez emissions: Ratio of Juárez household to national households = 293,752/22,359,998 = 0.013

• Annual Juarez NOx Emissions = 24,114.6 Mg X 0.013 = 349.1 tons• Annual Juarez SOx Emissions = 3,444.9 Mg X 0.013 = 49.9 tons• Annual Juarez VOC Emissions = 456,454.6 Mg X 0.013 = 6,539.2 tons• Annual Juarez CO Emissions = 1,987,730.4 Mg X 0.013 = 28,777.2 tons• Annual Juarez PM10 Emissions = 263,537.9 Mg x 0.013 = 3,815.3 tons• Annual Juarez PM2.5 Emissions = 253,707.9 Mg X 0.013 = 3,673.0 tons

O3 season daily NOx emissions = 349.1 tons/365 days = 1,913.5 lb/dayO3 season daily SOx emissions = 49.9 tons/365 days = 273.3 lb/dayO3 season daily VOC emissions = 6,608.3 tons/365 days = 36,219.6 lb/dayO3 season daily CO emissions = 28,777.2 tons/365 days = 157,726.0 lb/dayO3 season daily PM10 emissions = 3,815.3 tons/365 days = 20,911.5 lb/dayO3 season daily PM2.5 emissions = 3,673 tons/365 days = 20,131.2 lb/day

B-36

SOURCE TYPE: Industrial SOURCE CATEGORY: Restaurants

DESCRIPTION:Air emissions from commercial charbroiling of meat.



ACTIVITY DATA:• Amount of meat cooked (W.O. #55 Survey)• Fuel consumption data (W.O. #55 Survey)

EMISSION FACTORS:• Charcoal usage, beef: NOx = 2.96 g/kg of (meat + charcoal); VOC = 0.90 g/kg of (meat + charcoal); CO = 165.53

g/kg of (meat + charcoal); PM10 = 8.79 g/kg of (meat + charcoal) (CICA, 1999)• Charcoal usage, chicken, lamb and/or pork: NOx = 4.2 g/kg of (meat + charcoal); VOC = 1.01 g/kg of (meat +

charcoal); CO = 157.85 g/kg of (meat + charcoal); PM10 = 9.72 g/kg of (meat + charcoal) (CICA, 1999)• LPG usage, beef: VOC = 3.9 g/kg of meat; PM10 = 32.7 g/kg of meat (CICA, 1999)• LPG usage, chicken, lamb, and/or pork: VOC = 1.8 g/kg of meat; PM10 = 10.4 g/kg of meat (CICA, 1999)

ASSUMPTIONS:• Emissions from tortilla grills and potato fryers are ignored• For LPG, VOC emissions are assumed to be equal to TOG emissions• Emission factors for lamb and pork are assumed to be the same as for chicken• Particle size fraction for PM2.5 is assumed to be 80% of PM10 (CICA, 1999)• O3 season daily emissions = annual emissions/facility operational days per year


Estimate emissions from a restaurant in Juárez, Chihuahua.

Amount of meat cooked: beef = 12,740 kg/year; chicken = 3,640 kg/year; pork = 5,460 kg/year

Total amount of meat cooked annually = 12,740 kg + 3,640 kg + 5,460 kg = 21,840 kg/year

Fuel consumption: charcoal usage = 29,120 kg/year; natural gas usage = 32,736 m3/year

Charcoal used for grilling beef = (12,740 kg/21,840 kg) X 29,120 kg/year = 16,986.7 kg/year

Charcoal used for grilling chicken and pork = ((3,640 kg + 5,460 kg)/21,840 kg) X 29,120 kg/year = 12,133.3 kg/year

Assume that 50% of the meat is grilled using charcoal and the remaining 50% is grilled using natural gas.

Annual emissions from charcoal grilling of beef:

Amount of beef + charcoal = (12,740 kg/2) + 16,986.7 kg = 23,356.7 kg/year

NOx emissions = (2.96 g/kg X 23,356.7 kg)/106 X 1.102 = 0.076 tons/year

VOC emissions = (0.90 g/kg X 23,356.7 kg)/106 X 1.102 = 0.023 tons/year

CO emissions = (165.53 g/kg X 23,356.7 kg)/106 X 1.102 = 4.26 tons/year

PM10 emissions = (8.79 g/kg X 23,356.7 kg)/106 X 1.102 = 0.23 tons/year

PM2.5 emissions = 0.80 X 0.23 tons = 0.18 tons/year

B-37

RESTAURANTS – CONTINUEDAnnual emissions from charcoal grilling of chicken and pork:

Amount of chicken + pork + charcoal = (5,460 + 3,640 kg)/2 + 12,133.3 kg = 16,683.3 kg/year

NOx emissions = (4.2 g/kg X 16,683.3 kg)/106 X 1.102 = 0.077 tons/year

VOC emissions = (1.01 g/kg X 16,683 kg)/106 X 1.102 = 0.019 tons/year

CO emissions = (157.85 g/kg X 16,683 kg)/106 X 1.102 = 2.90 tons/year

PM10 emissions = (9.72 g/kg X 16,683 kg)/106 X 1.102 = 0.18 tons/year


Annual emissions from natural gas grilling of beef:

Amount of beef grilled using natural gas = 12,740 kg/2 = 6,370 kg/year

VOC emissions = (3.9 g/kg X 6,370 kg)/106 X 1.102 = 0.027 tons/year

PM10 emissions = (32.7 g/kg X 6,370 kg) /106 X 1.102 = 0.23 tons/year


Annual emissions from natural gas grilling of chicken and pork:

Amount of meat cooked = (3,640 kg + 5,460 kg)/2 = 4,550 kg/year

VOC emissions = (1.8 g/kg X 4,550 kg) /106 X 1.102 = 0.009 tons/year

PM10 emissions = (10.4 g/kg X 4,550 kg) /106 X 1.102 = 0.052 tons/year


Total annual emissions from the restaurant:

NOx emissions = 0.076 tons + 0.077 tons = 0.153 tons/year

VOC emissions = 0.023 tons + 0.019 tons + 0.027 tons + 0.009 tons = 0.078 tons/year

CO emissions = 4.26 tons + 2.90 tons = 7.163 tons/year

PM10 emissions = 0.23 tons + 0.18 tons + 0.23 tons + 0.052 tons = 0.692 tons/year

PM2.5 emissions = 0.18 tons + 0.14 tons + 0.18 tons + 0.042 tons = 0.542 tons/year

Facility operational days/year = 364 days/year

O3 season daily emissions = annual emissions/facility operational days per year

O3 season daily NOx emissions = (0.153 tons/364 days) = 0.84 lbs/day

O3 season daily VOC emissions = (0.078 tons/364 days) = 0.43 lbs/day

O3 season daily CO emissions = (7.163 tons/364 days) = 39.36 lbs/day

O3 season daily PM10 emissions = (0.692 tons/364 days) = 3.80 lbs/day

O3 season daily PM2.5 emissions = (0.542 tons/364 days) = 2.98 lbs/day

B-38

SOURCE TYPE: Industrial SOURCE CATEGORY: Street Vendors

DESCRIPTION:Emissions from charbroiling of meat.



ACTIVITY DATA:• Amount of meat cooked (W.O. #55 Survey)• Fuel consumption data (W.O. #55 Survey)

EMISSION FACTORS:• Charcoal usage, beef: NOx = 2.96 g/ kg of (meat + charcoal); VOC = 0.90 g/kg of (meat + charcoal); CO = 165.53

g/kg of (meat + charcoal); PM10 = 8.79 g/kg of (meat + charcoal) (CICA, 1999)• Charcoal usage, chicken, lamb and/or pork: NOx = 4.2 g/kg of (meat + charcoal); VOC = 1.01 g/kg of (meat +

charcoal); CO = 157.85 g/kg of (meat + charcoal); PM10 = 9.72 g/kg of (meat + charcoal) (CICA, 1999)• LPG usage, beef: VOC = 3.9 g/kg of meat; PM10 = 32.7 g/kg of meat (CICA, 1999)• LPG usage, chicken, lamb, and/or pork: VOC = 1.8 g/kg of meat; PM10 = 10.4 g/kg of meat (CICA, 1999)

ASSUMPTIONS:• For LPG, VOC emissions are assumed to be equal to TOG emissions• Emission factors for lamb and pork are assumed to be the same as for chicken• Particle size fraction for PM2.5 is assumed to be 80 % of PM10 (CICA, 1999)• O3 season daily emissions = annual emissions/facility operational days per year


Estimate emissions from a street vendor in Juárez, Chihuahua.

Amount of meat cooked: beef = 900 kg/year; pork = 900 kg/year; total meat cooked = 1,800 kg/yearFuel consumption: charcoal usage = 3,600 kg/year; LPG usage = 720 kg/year; total fuel consumption = 4,320 kg/year

Average amount of charcoal used for grilling beef = (900 kg/1,800 kg) X 3,600 kg = 1,800 kg/yearAverage amount of charcoal used for grilling pork = (900 kg/1,800 kg) X 3,600 kg = 1,800 kg/yearAverage amount of beef cooked using charcoal = (3,600 kg/4,320 kg) X 900 kg = 750 kg/yearAverage amount of beef cooked using LPG = (720 kg/4,320 kg) X 900 kg = 150 kg/yearAverage amount of pork cooked using charcoal = (3,600 kg/4,320 kg) X 900 kg = 750 kg/yearAverage amount of pork cooked using LPG = (720 kg/4,320 kg) X 900 kg = 150 kg/year

Annual emissions from charcoal grilling of beef:Amount of charcoal + beef = 1,800 kg + 750 kg = 2,550 kg/year

NOx emissions = (2.96 g/kg X 2,550 kg)/106 X 1.102 = 0.00832 tons/yearVOC emissions = (0.90 g/kg X 2,550 kg)/106 X 1.102 = 0.00253 tons/yearCO emissions = (165.53 g/kg X 2,550 kg)/106 X 1.102 = 0.465 tons/yearPM10 emissions = (8.79 g/kg X 2,550 kg)/106 X 1.102 = 0.0247 tons/yearPM2.5 emissions = 0.80 X 0.0247 tons = 0.0198 tons/year

B-39

STREET VENDORS – CONTINUEDAnnual emissions from charcoal grilling of pork:Amount of charcoal + pork = 1,800 kg + 750 kg = 2,550 kg/year

NOx emissions = (4.2 g/kg X 2,550 kg)/106 X 1.102 = 0.0118 tons/yearVOC emissions = (1.01 g/kg X 2,550 kg)/106 X 1.102 = 0.00284 tons/yearCO emissions = (157.85 g/kg X 2,550 kg)/106 X 1.102 = 0.444 tons/yearPM10 emissions = (9.72 g/kg X 2,550 kg)/106 X 1.102 = 0.0273 tons/yearPM2.5 emissions = 0.80 X 0.0273 tons = 0.0218 tons/year

Annual emissions from LPG grilling of beef:Amount of beef cooked using LPG = 150 kg/year

VOC emissions = (3.9 g/kg X 150 kg)/106 X 1.102 = 0.00064 tons/yearPM10 emissions = (32.7 g/kg X 150 kg)/106 X 1.102 = 0.0054 tons/yearPM2.5 emissions = 0.80 X 0.0054 tons = 0.0043 tons/year

Annual emissions from LPG grilling of pork:Amount of pork cooked using LPG = 150 kg/year

VOC emissions = (1.8 g/kg X 150 kg)/106 X 1.102 = 0.0003 tons/yearPM10 emissions = (10.4 g/kg X 150 kg)/106 X 1.102 = 0.0017 tons/yearPM2.5 emissions = 0.80 X 0.0017 tons = 0.0014 tons/year

Total annual emissions from the street vendor:NOx emissions = 0.00832 tons + 0.0118 tons = 0.02 tons/yearVOC emissions = 0.00253 tons + 0.00284 tons + 0.00064 tons + 0.0003 tons = 0.006 tons/yearCO emissions = 0.465 tons + 0.444 tons = 0.91 tons/yearPM10 emissions = 0.0247 tons + 0.0273 tons + 0.0054 tons + 0.0017 tons = 0.059 tons/yearPM2.5 emissions = 0.0198 tons + 0.0218 tons + 0.0043 tons + 0.0014 tons = 0.047 tons/year

Facility operational days/year = 5 days/week X 36 weeks/year = 180 days/yearO3 season daily emissions = annual emissions/facility operational days per year

O3 season daily NOx emissions = (0.02 tons/180 days) = 0.22 lbs/dayO3 season daily VOC emissions =(0.006 tons/180 days) = 0.07 lbs/dayO3 season daily CO emissions = (0.91 tons/180 days) = 10.1 lbs/dayO3 season daily PM10 emissions = (0.059 tons/180 days) = 0.66 lbs/dayO3 season daily PM2.5 emissions = (0.047 tons/180 days) = 0.52 lbs/day

B-40

SOURCE TYPE: Area SOURCE CATEGORY: Structure fires

DESCRIPTION:Structure fires include the unintentional burning of the structure material and building contents.



ACTIVITY DATA:Housing data for Juárez (INEGI, 2000)

EMISSION FACTORS:NOx = 2.0 kg/Mg; VOC = 5.5 kg/Mg; CO = 84.0 kg/Mg; and PM = 5.4 kg/Mg (Radian, 1997; EIIP, 2001b)

ASSUMPTIONS:• Number of fires per 1000 houses = 1.14 (average value calculated for 25 states; INEGI, 2001)• Average structural loss was assumed to be 7.3 % (EIIP, 2001b)• Average amount of combustible contents in the structure was assumed to be 0.0386 Mg/m2 (EIIP, 2001b)• Average area of a structure was assumed to be 60 m2 (EIIP, 2001b)• Only residential building fires were considered• Combustible building material was assumed to be 0 Mg (masonry construction) (GDF, 1998)• PM10 size fraction is 0.98 of total PM; PM2.5 size fraction is 0.9327of PM10 (ARB, 1999)• O3 season daily emissions = annual emissions/365 days


Estimate the total annual emissions from structure fires in Juárez, Chihuahua.

• Number of houses in Juarez, Chihuahua = 293,752• Number of fires = (293,752/1000) X 1.14 = 335• Total combustible material = Structural loss (Combustible building material+ Combustible building contents)

= 335 X (0.073) X (0 + 60 m2 X 0.0386 Mg/ m2) = 56.6 Mg

Annual NOx emissions = 56.6 Mg X 2.00 kg/Mg = 113 kg = 0.1 Mg = 0.1 tonsO3 season daily emissions = 0.1 tons/365 days = 0.7 lbs/day

Annual VOC emissions = 56.6 Mg X 5.50 kg/Mg = 311 kg = 0.3 Mg = 0.3 tonsO3 season daily emissions = 0.3 tons/365 days = 1.9 lbs/day

Annual CO emissions = 56.6 Mg X 84.00 kg/Mg = 4,754 kg = 4.8 Mg = 5.3 tonsO3 season daily emissions = 5.3 tons/365 days = 0.015 Tons = 28.7 lbs/day

Annual PM10 emissions = 56.6 Mg X 5.40 kg/Mg X 0.98 = 299 kg = 0.3 Mg = 0.3 tonsO3 season daily emissions = 0.3 tons/365 days = 1.8 lbs/day

Annual PM2.5 emissions = 0.9327 X 299 kg = 278 kg = 0.27 Mg = 0.3 tonsO3 season daily emissions = 0.3 tons/365 days = 1.7 lbs/day

B-41

SOURCE TYPE: Area SOURCE CATEGORY: Unpaved Road Dust

DESCRIPTION:Dust reentrained by vehicle travel over unpaved road surfaces.



ACTIVITY DATA:• Population (INEGI, 2000)• Per capita VKT rates (TransEngineering, 2003)• Paved and unpaved VKT split (TransEngineering, 2003)• Silt content (IMIP, 2000)• Soil moisture (IMIP, 2000)• Precipitation data (NCDC, 2003)

EMISSION FACTORS:Calculated using AP-42 emission factor equation:

EF (lb/VMT) = k(s/12)0.8(W/3)0.4[(365 – p)/365]/(M/0.2)0.3

k = particle size multiplier (2.6 lb/VMT for PM10 and 0.38 lb/VMT for PM2.5); s = silt content; W = average vehicle weight; M =moisture content; and p = number of precipitation days during inventory year

ASSUMPTIONS:• Silt content of 6% and moisture content of 0.3% are the average values from Ciudad Juárez study (IMIP, 2000).• Average vehicle weight of 1.5 tons (Gonzalez-Ayala, 2003)• Period of interest was the 1999 inventory year (i.e., 365 days)• Transport fraction for ‘urban’ land use type is assumed to be 0.4 (U.S. EPA, 2002b)• O3 season daily emissions = EFozone season X O3 season VKT


Estimate the total unpaved road dust emissions in Juárez, Chihuahua.

• Per capita VKT rate (6.2 VKT/day-person for Juarez, population 1,218,817)• Unpaved VKT split (0.05 for Juarez, population 1,218,817)

Unpaved VKT = 1,218,817 X 6.2 VKT/day X 365 days X 0.05 = 137,909,144 VKT/yearUnpaved VKTozone season = 1,218,817 X 6.2 VKT/day X 184 days X 0.05 = 69,521,322 VKT

EF (PM10) = (2.6)(6/12)0.8(1.5/3)0.4[(365 – 45)/365]/[(0.3/0.2)]0.3 = 0.874 lb/VMT = 0.5432 lb/VKTEF (PM2.5) = (0.38)(6/12)0.8(1.5/3)0.4[(365 – 45)/365]/(0.3/0.2) 0.3 = 0.128 lb/VMT = 0.0795 lb/VKT

EFozone season (PM10) = (2.6)(6/12)0.8(1.5/3)0.4[(184 – 34)/184]/[(0.3/0.2)]0.3 = 0.817 lb/VMT = 0.5078 lb/VKTEFozone season (PM2.5) = (0.38)(6/12)0.8(1.5/3)0.4[(184 – 34)/184]/[(0.3/0.2)]0.3 = 0.119 lb/VMT = 0.0740 lb/VKT

Total PM10 emissions = 137,909,144 VKT/year X 0.5432 lb/VKT X 0.4 = 14,982.4 tons/yearTotal PM2.5 emissions = 137,909,144 VKT/year X 0.0795 lb/VKT X 0.4 = 2,192.8 tons/year

O3 season daily PM10 emissions = (69,521,322 VKT X 0.5078 lb/VKT X 0.4)/184 = 76,745.5 lb/dayO3 season daily PM2.5 emissions = (69,521,322 VKT X 0.0740 lb/VKT X 0.4)/184 = 11,183.9 lb/day

B-42

SOURCE TYPE: Area SOURCE CATEGORY: Wind Erosion

DESCRIPTION:During periods of high winds, small dust particles may be entrained by the wind and emitted to the atmosphere asparticulate matter. These emissions are typically associated with disturbed land, such as agricultural fields undercultivation, large construction sites, or vacant lots.


METHOD:Emission factor as estimated by the USDA wind erosion equation (WEQ)

ACTIVITY DATA:• Land acreage by crop (SAGARPA, 2002)• Unpaved vacant lot area (IMIP, 2003)• Meteorological data (NCDC, 2003)

EMISSION FACTORS:Calculated using USDA WEQ:EF = aIKCL'V’a = fraction of particles, 0.0125 for PM10; I = soil erodibility by soil type; K = dimensionless surface roughness factor bycrop; C = dimensionless climate factor = 1.768 (calculated); L' = dimensionless unsheltered field width factor (fromgraph; function of (IK) and L (where L = unsheltered distance)]; V' = dimensionless vegetative cover factor (from graph;function of (IKL'C) and V (where V = amount of vegetative cover in lb/acre)

ASSUMPTIONS:• Soil erodibility is assumed to be 38 (silt) (Radian, 1997)• Surface roughness for alfalfa and unpaved vacant lots is assumed to be 1 (Radian, 1997)• Surface roughness for wheat, pecans, and other crops is assumed to be 0.6 (Radian, 1997)• Surface roughness for cotton is assumed to be 0.5 (Radian, 1997)• L value is assumed to be 1000 ft for alfalfa crop and 2000 ft for the remaining crops and unpaved vacant lots

(Radian, 1997)• Vegetative cover for pecan and other crops is assumed to be 1000 lb/acre (Radian, 1997)• Vegetative cover for alfalfa seed, cotton, wheat, and unpaved vacant lots is assumed to be 3000 lb/acre, 250

lb/acre, 1350 lb/acre, and 0 lb/acre respectively (Radian, 1997)• C factor was calculated to be 1.768• Particle size fraction for PM2.5 is assumed to be 0.22165 of PM10 (ARB, 1999)• O3 season daily emissions = annual emissions/365 days

SAMPLE CALCULATIONS:Estimate annual emissions from wind erosion in Juarez, Chihuahua.Land acreage: alfalfa = 9,044 acres; cotton = 13,687 acres; wheat = 3,867.5 acres; pecans = 603 acres; other crop #1= 3,907 acres; other crop #2 = 4,023 acres; and unpaved vacant lots = 4.1 acres

PM10 EF for alfalfa = 0 tons/acre/yrPM10 EF for cotton = 0.2255 tons/acre/yrPM10 EF for wheat = 0.003425 tons/acre/yrPM10 EF for pecans, other crop #1, and other crop #2 = 0.06851 tons/acre/yrPM10 EF for unpaved vacant lots = 0.8144 tons/acre/yr

Annual total PM10 Emissions for Juarez = (9,044 acres X 0 tons/acre) + (13,687 acres X 0.2255 tons/acre) + (3,867.5acres X 0.003425 tons/acre) + (603 acres X 0.06851 tons/acre) + (3,907 acres X 0.06851 tons/acre) + (4,023 acres X0.06851 tons/acre) + (4.1 acres X 0.8144 tons/acre) = 3,687.8 tons/year

Annual PM2.5 emissions for Juarez = 0.22165 X 3,687.8 tons = 817.5 tons/year

O3 season daily PM10 emissions = 3,687.8 tons/365 days = 10.10 tons/day = 20,207 lbs/dayO3 season daily PM2.5 emissions = 817.5 tons/365 days = 2.24 tons/day = 4,480 lbs/day

B-43

SOURCE TYPE: Industrial SOURCE CATEGORY: Waste Water Treatment Plants

DESCRIPTION:Treatment of wastewater from residential, institutional, commercial facilities, and storm water run-off.



ACTIVITY DATA:• Quantity of wastewater treated (W.O. #55 Survey)• Quantity of fuel used for the internal combustion (IC) engine (W.O. #55 Survey)

EMISSION FACTORS:• Wastewater: TOG = 1.3 X 10-5 kg/liter (U.S. EPA, 1991)• IC Engine: NOx = 4.41 lb/MMBtu fuel input; SOx = 0.29 lb/MMBtu fuel input; VOC = 0.35 lb/MMBtu fuel input

(exhaustive emissions); VOC = 0.01 lb/MMBtu fuel input (crankcase emissions); CO = 0.95 lb/MMBtu fuel input;PM10 = 0.31 lb/MMBtu fuel input; PM2.5 = 0.31 lb/MMBtu fuel input (U.S. EPA, 1995)

ASSUMPTIONS:• VOC emissions assumed to be equal to TOG emissions for wastewater (Radian, 1997)• VOC emissions from sludge storage piles are assumed to be included in the VOC emissions from wastewater

O3 season daily emissions = (annual emissions X percentage of annual production occurring in any month in theozone season)/(number of days in that month)

SAMPLE CALCULATIONS:Estimate annual emissions from a wastewater treatment plant in Juárez, Chihuahua.

Annual quantity of wastewater treated = 59,959,913 m3 = 59,959,913,000 litersVOC emissions from wastewater treatment = 1.3 X 10-5 kg TOG/liter X 59,959,913,000 liters = 859 tons/yearO3 season daily VOC emissions from wastewater treatment = 859 tons/365 days = 4,706.8 lb/day

Quantity of fuel used = 3,000 liters/yearDensity of diesel = 0.827 g/mlDiesel heating value = 19,300 Btu/lbHeating value of fuel used = 3,000 liters X (0.827 g/ml X 1000/454) X 19,300 Btu/lb = 105.7 MMBtu

NOx emissions = 4.41 lb/MMBtu X 105.7 MMBtu = 0.23 tons/yearSOx emissions = 0.29 lb/MMBtu X 105.7 MMBtu = 0.02 tons/yearVOC emissions = (0.35 + 0.01) lb/MMBtu X 105.7 MMBtu = 0.02 tons/yearTotal VOC emissions = 859 tons + 0.02 tons = 859.02 tons/yearCO emissions = 0.95 lb/MMBtu X 105.7 MMBtu = 0.05 tons/yearPM10 emissions = 0.31 lb/MMBtu X 105.7 MMBtu = 0.02 tons/yearPM2.5 emissions = 0.31 lb/MMBtu X 105.7 MMBtu = 0.02 tons/year

Percentage of production occurring in each month of the O3 season = 8.3%O3 season daily NOx emissions = (0.23 tons X 0.083)/30 days = 1.29 lb/dayO3 season daily SOx emissions = (0.02 tons X 0.083)/30 days = 0.08 lb/dayO3 season daily VOC emissions = (0.02 tons X 0.083)/30 days = 0.11 lb/dayTotal O3 season daily VOC emissions = 4,706.8 lb/day + 0.11 lb/day = 4,706.9 lb/dayO3 season daily CO emissions = (0.05 tons X 0.083)/30 days = 0.28 lb/dayO3 season daily PM10 emissions = (0.02 tons X 0.083)/30 days = 0.09 lb/dayO3 season daily PM2.5 emissions = (0.02 tons X 0.083)/30 days = 0.09 lb/day

s3-us-west-2.amazonaws.com · 2016-07-22 · ERG No. 0141.00.055.001 DEVELOPMENT OF AN AREA SOURCE EMISSIONS INVENTORY FOR CIUDAD JUÁREZ, CHIHUAHUA, MEXICO Final TCEQ Contract No.

Documents