This glossary is a reference to aid you when filling out your emissions input template values. The glossary includes information on field names and template value codes.
| Field Name | Description | Relevant Templates |
|---|---|---|
| AGENCY_PSC | Agency short name | |
| TEMPLATE_NAME | Brief description of the data and the name of the corresponding module/tool | |
| FIPS_CD | The Federal Information Processing Standards (FIPS) state and county codes | |
| SCC | Source Classification Codes (SCCs), representing individual emissions sources. | |
| MSN_CD | Mnemonic Series Name (MSN) codes. MSN indicates the sector and fuel type for the energy consumption variables from the State Energy Data System (SEDS). |
Central Database – SEDS ICI – Option A ICI – Option B ICI – Option C ICI – Option D |
| SIC | Standard Industrial Classification (SIC) code. This column is used to identify the specific restaurant type. | Cooking – County-level Restaurants |
| NAICS_CD | North American Industry Classification System (NAICS) Codes. This column is used to identify the sector for various templates. |
County Business Patterns - County Employment County Business Patterns - State Employment ICI - Option A ICI - Option B |
| MONTH_NUM | Numbers represent the corresponding months of the year. Numbers start with 1 (January) and go up to 12 (December). |
Stage I Gasoline Distribution - County Parameters Stage I Gasoline Distribution - Loading Loss Stage I Gasoline Distribution - Nonroad Gas Consumption Stage I Gasoline Distribution - Onroad Gas Consumption |
| AGE_GROUP | Ten-year age groups. Note that Excel may automatically format some age ranges as dates. You can ignore this; it will get imported into the Wagon Wheel correctly. | Cremation – County-Level Deaths |
| ROAD_TYPE_CODE | Acronyms of road type data as reported by FHWA | Road Dust - Paved and Unpaved VMT by County |
| FUEL_SUB_TYPE_CD | Fuel subtype data |
ICI – Distillate Sales Data Stage I Gasoline Distribution - Loading Loss Stage I Gasoline Distribution - Nonroad Gas Consumption Stage I Gasoline Distribution - Onroad Gas Consumption. |
| END_USE | Sector or other end use where distillate fuel is used. | ICI - Distillate Sales Data template. |
| POLLUTANT_CD | Pollutant Code |
Residential Heating - County Control Factor Residential Heating - State Control Factor POTWs - Pt Src Emissions - Opt B POTWs - Ctrl Factor by County and Pollu ICI - Control Factor – County |
| UNIT_MSR_CD | Units of the AGENCY_VALUE and DEFAULT_VALUE columns | |
| TEMPLATE_VALUE_CD | Type of data in the AGENCY_VALUE and DEFAULT_VALUE columns. See the following tab for more information about each template value code. | |
| AGENCY_VALUE | Activity data value provided by a state agency, state department, tribe, or nation | |
| AGENCY_SOURCE | Source used by the state agency, state department, tribe, or nation to get the value in the AGENCY_VALUE column | |
| AGENCY_SOURCE_YEAR | Year of the source provided by the state agency, state department, tribe, or nation to get the value in the AGENCY_VALUE column | |
| AGENCY_NOTE | Note provided by the state agency, state department, tribe, or nation | |
| DEFAULT_VALUE | Default activity data value provided by EPA | |
| DEFAULT_SOURCE | Source of the default value provided by EPA | |
| DEFAULT_SOURCE_YEAR | Year of the source for the default value provided by EPA | |
| DEFAULT_NOTE | Notes provided by EPA | |
| DATA_TAG | This field indicates whether a value has been tagged out and will be ignored in the emissions calculations. It is not editable. If you wish to tag out data, contact EPA. |
| Template Name | Template_Value_CD | Column Description | Source of Default Data | |
|---|---|---|---|---|
| Agricultural Silage - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Agricultural Silage Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Agricultural Tilling - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Agricultural Tilling Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Agricultural Tilling - Cover Fallow Pasture-State | CROPLAND_ACRES | Use this column to update state-level number of acres of the respective crop in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Cover Fallow Pasture-State | CROPLAND_SUMMER | Use this column to update state-level number of acres of the respective crop in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Cover Fallow Pasture-State | PASTURELAND | Use this column to update state-level number of acres of the respective crop in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Cover Fallow Pasture-County | CROPLAND_ACRES | Use this column to update the county-level number of acres of the respective crop in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Cover Fallow Pasture-County | CROPLAND_SUMMER | Use this column to update the county-level number of acres of the respective crop in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Cover Fallow Pasture-County | PASTURELAND | Use this column to update the county-level number of acres of the respective crop in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | ALFAFA | Use this column to update the county-level number of acres of ALFAFA in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | BARLEY | Use this column to update the county-level number of acres of BARLEY in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | CANOLA | Use this column to update the county-level number of acres of CANOLA in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | CORN | Use this column to update the county-level number of acres of CORN in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | COTTON | Use this column to update the county-level number of acres of COTTON in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | HAY | Use this column to update the county-level number of acres of HAY in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | OATS | Use this column to update the county-level number of acres of OATS in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | PEANUTS | Use this column to update the county-level number of acres of PEANUTS in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | PEAS | Use this column to update the county-level number of acres of PEAS in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | RICE | Use this column to update the county-level number of acres of RICE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | RYE | Use this column to update the county-level number of acres of RYE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | SORGHUM | Use this column to update the county-level number of acres of SORGHUM in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | SOYBEANS | Use this column to update the county-level number of acres of SOYBEANS in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | SUGARBEETS | Use this column to update the county-level number of acres of SUGARBEETS in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | SUGARCANE | Use this column to update the county-level number of acres of SUGARCANE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | SUNFLOWER | Use this column to update the county-level number of acres of SUNFLOWER in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | TOBACCO | Use this column to update the county-level number of acres of TOBACCO in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | WHEAT_DURHAM | Use this column to update the county-level number of acres of WHEAT_DURHAM in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | WHEAT_SPRING | Use this column to update the county-level number of acres of WHEAT_SPRING in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-County | WHEAT_WINTER | Use this column to update the county-level number of acres of WHEAT_WINTER in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | ALFAFA | Use this column to update the state-level number of acres of ALFAFA in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | BARLEY | Use this column to update the state-level number of acres of BARLEY in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | CANOLA | Use this column to update the state-level number of acres of CANOLA in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | CORN | Use this column to update the state-level number of acres of CORN in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | COTTON | Use this column to update the state-level number of acres of COTTON in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | HAY | Use this column to update the state-level number of acres of HAY in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | OATS | Use this column to update the state-level number of acres of OATS in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | PEANUTS | Use this column to update the state-level number of acres of PEANUTS in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | PEAS | Use this column to update the state-level number of acres of PEAS in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | RICE | Use this column to update the state-level number of acres of RICE in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | RYE | Use this column to update the state-level number of acres of RYE in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | SORGHUM | Use this column to update the state-level number of acres of SORGHUM in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | SOYBEANS | Use this column to update the state-level number of acres of SOYBEANS in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | SUGARBEETS | Use this column to update the state-level number of acres of SUGARBEETS in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | SUGARCANE | Use this column to update the state-level number of acres of SUGARCANE in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | SUNFLOWER | Use this column to update the state-level number of acres of SUNFLOWER in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | TOBACCO | Use this column to update the state-level number of acres of TOBACCO in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | WHEAT_DURHAM | Use this column to update the state-level number of acres of WHEAT_DURHAM in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | WHEAT_SPRING | Use this column to update the state-level number of acres of WHEAT_SPRING in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Field Crops-State | WHEAT_WINTER | Use this column to update the state-level number of acres of WHEAT_WINTER in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Potato-County | POTATOES | Use this column to update the county-level data on the number of acres of POTATOES in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Potato-State | POTATOES | Use this column to update the state-level number of acres of POTATOES in the Agricultural Tilling Tool. State-level data are used to gap-fill missing county-level data. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-County | CONS_TILL | Use this column to update the county-level number of acres tilled by CONSERVATION TILLAGE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-County | CONV_TILL | Use this column to update the county-level number of acres tilled by CONVENTIONAL TILLAGE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-County | NO_TILL | Use this column to update the county-level number of acres managed by NO-TILL in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-State | CONS_TILL | Use this column to update the county-level number of acres tilled by CONSERVATION TILLAGE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-State | CONV_TILL | Use this column to update the county-level number of acres tilled by CONVENTIONAL TILLAGE in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Data-State | NO_TILL | Use this column to update the county-level number of acres managed by NO-TILL in the Agricultural Tilling Tool. | USDA, National Agricultural Statistics Service based on Census of Agriculture and subsequent survey data. https://quickstats.nass. usda.gov/ |
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| Agricultural Tilling - Tilling Passes | BARLEY_CONS | Use this column to update the tilling passes for BARLEY using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | BARLEY_CONV | Use this column to update the tilling passes for BARLEY using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https:// www3.epa.gov/ttn/chief/old /ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020 |
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| Agricultural Tilling - Tilling Passes | BARLEY_NO_TILL | Use this column to update the tilling passes for BARLEY using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | BEANS_CONS | Use this column to update the tilling passes for BEANS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | BEANS_CONV | Use this column to update the tilling passes for BEANS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | BEANS_NO_TILL | Use this column to update the tilling passes for BEANS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CANOLA_CONS | Use this column to update the tilling passes for CANOLA using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CANOLA_CONV | Use this column to update the tilling passes for CANOLA using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CANOLA_NO_TILL | Use this column to update the tilling passes for CANOLA using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CORN_CONS | Use this column to update the tilling passes for CORN using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CORN_CONV | Use this column to update the tilling passes for CORN using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | CORN_NO_TILL | Use this column to update the tilling passes for CORN using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COTTON_CONS | Use this column to update the tilling passes for COTTON using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COTTON_CONV | Use this column to update the tilling passes for COTTON using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COTTON_NO_TILL | Use this column to update the tilling passes for COTTON using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COVER_CONS | Use this column to update the tilling passes for COVER CROPS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COVER_CONV | Use this column to update the tilling passes for COVER CROPS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | COVER_NO_TILL | Use this column to update the tilling passes for COVER CROPS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FALLOW_CONS | Use this column to update the tilling passes for FALLOW using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FALLOW_CONV | Use this column to update the tilling passes for FALLOW using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FALLOW_NO_TILL | Use this column to update the tilling passes for FALLOW using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FORAGE_CONS | Use this column to update the tilling passes for FORAGE using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FORAGE_CONV | Use this column to update the tilling passes for FORAGE using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | FORAGE_NO_TILL | Use this column to update the tilling passes for FORAGE using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | HAY_CONS | Use this column to update the tilling passes for HAY using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | HAY_CONV | Use this column to update the tilling passes for HAY using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | HAY_NO_TILL | Use this column to update the tilling passes for HAY using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | OATS_CONS | Use this column to update the tilling passes for OATS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | OATS_CONV | Use this column to update the tilling passes for OATS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | OATS_NO_TILL | Use this column to update the tilling passes for OATS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PASTURE_CONS | Use this column to update the tilling passes for PASTURE using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PASTURE_CONV | Use this column to update the tilling passes for PASTURE using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PASTURE_NO_TILL | Use this column to update the tilling passes for PASTURE using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEANUTS_CONS | Use this column to update the tilling passes for PEANUTS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEANUTS_CONV | Use this column to update the tilling passes for PEANUTS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEANUTS_NO_TILL | Use this column to update the tilling passes for PEANUTS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEAS_CONS | Use this column to update the tilling passes for PEAS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEAS_CONV | Use this column to update the tilling passes for PEAS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PEAS_NO_TILL | Use this column to update the tilling passes for PEAS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PECAN_CONS | Use this column to update the tilling passes for PECAN using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PECAN_CONV | Use this column to update the tilling passes for PECAN using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | PECAN_NO_TILL | Use this column to update the tilling passes for PECAN using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | POTATOES_CONS | Use this column to update the tilling passes for POTATOES using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | POTATOES_CONV | Use this column to update the tilling passes for POTATOES using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | POTATOES_NO_TILL | Use this column to update the tilling passes for POTATOES using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RICE_CONS | Use this column to update the tilling passes for RICE using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RICE_CONV | Use this column to update the tilling passes for RICE using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RICE_NO_TILL | Use this column to update the tilling passes for RICE using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RYE_CONS | Use this column to update the tilling passes for RYE using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RYE_CONV | Use this column to update the tilling passes for RYE using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | RYE_NO_TILL | Use this column to update the tilling passes for RYE using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SORGHUM_CONS | Use this column to update the tilling passes for SORGHUM using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SORGHUM_CONV | Use this column to update the tilling passes for SORGHUM using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SORGHUM_NO_TILL | Use this column to update the tilling passes for SORGHUM using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SOYBEANS_CONS | Use this column to update the tilling passes for SOYBEANS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SOYBEANS_CONV | Use this column to update the tilling passes for SOYBEANS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SOYBEANS_NO_TILL | Use this column to update the tilling passes for SOYBEANS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARBEETS_CONS | Use this column to update the tilling passes for SUGARBEETS using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARBEETS_CONV | Use this column to update the tilling passes for SUGARBEETS using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARBEETS_NO_TILL | Use this column to update the tilling passes for SUGARBEETS using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARCANE_CONS | Use this column to update the tilling passes for SUGARCANE using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARCANE_CONV | Use this column to update the tilling passes for SUGARCANE using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUGARCANE_NO_TILL | Use this column to update the tilling passes for SUGARCANE using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUNFLOWER_CONS | Use this column to update the tilling passes for SUNFLOWER using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUNFLOWER_CONV | Use this column to update the tilling passes for SUNFLOWER using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | SUNFLOWER_NO_TILL | Use this column to update the tilling passes for SUNFLOWER using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | TOBACCO_CONS | Use this column to update the tilling passes for TOBACCO using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | TOBACCO_CONV | Use this column to update the tilling passes for TOBACCO using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | TOBACCO_NO_TILL | Use this column to update the tilling passes for TOBACCO using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_FALL_CONS | Use this column to update the tilling passes for FALL SEEDED WHEAT using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_FALL_CONV | Use this column to update the tilling passes for FALL SEEDED WHEAT using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_FALL_NO_TILL | Use this column to update the tilling passes for FALL SEEDED WHEAT using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_SPRING_CONS | Use this column to update the tilling passes for SPRING WHEAT using CONSERVATION TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_SPRING_CONV | Use this column to update the tilling passes for SPRING WHEAT using CONVENTIONAL TILLAGE in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Agricultural Tilling - Tilling Passes | WHEAT_SPRING_NO_TILL | Use this column to update the tilling passes for SPRING WHEAT using NO-TILL in Agricultural Tilling Tool. The number of tilling passes is used to calculate the county-specific PM10 and PM25 emissions factors for agricultural tilling. | Woodard, Kenneth R. 1996. Agricultural Activities Influencing Fine Particulate Matter Emissions, Midwest Research Institute. https: //www3.epa.gov/ttn/chief/ old/ap42/ch09/s01/related/ rel03_c09s01.pdf. Data submitted by users in 2017 was maintained in 2020. |
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| Asphalt - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Asphalt Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Asphalt - County VMT | RINT | Use this column to update the county-level vehicular miles traveled on RURAL INTERSTATE roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL INTERSTATE |
| Asphalt - County VMT | RLOC | Use this column to update the county-level vehicular miles traveled on RURAL LOCAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL LOCAL |
| Asphalt - County VMT | RMJC | Use this column to update the county-level vehicular miles traveled on RURAL MAJOR COLLECTOR roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL MAJOR COLLECTOR |
| Asphalt - County VMT | RMNA | Use this column to update the county-level vehicular miles traveled on RURAL MINOR ARTERIAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL MINOR ARTERIAL |
| Asphalt - County VMT | RMNC | Use this column to update the county-level vehicular miles traveled on RURAL MINOR COLLECTOR roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL MINOR COLLECTOR |
| Asphalt - County VMT | ROFX | Use this column to update the county-level vehicular miles traveled on RURAL OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL OTHER FREEWAYS AND EXPRESSWAYS |
| Asphalt - County VMT | ROPA | Use this column to update the county-level vehicular miles traveled on RURAL OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
RURAL OTHER PRINCIPAL ARTERIAL |
| Asphalt - County VMT | UINT | Use this column to update the county-level vehicular miles traveled on URBAN INTERSTATE roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN INTERSTATE |
| Asphalt - County VMT | ULOC | Use this column to update the county-level vehicular miles traveled on URBAN LOCAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN LOCAL |
| Asphalt - County VMT | UMJC | Use this column to update the county-level vehicular miles traveled on URBAN MAJOR COLLECTOR roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN MAJOR COLLECTOR |
| Asphalt - County VMT | UMNA | Use this column to update the county-level vehicular miles traveled on URBAN MINOR ARTERIAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN MINOR ARTERIAL |
| Asphalt - County VMT | UMNC | Use this column to update the county-level vehicular miles traveled on URBAN MINOR COLLECTOR roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN MINOR COLLECTOR |
| Asphalt - County VMT | UOFX | Use this column to update the county-level vehicular miles traveled on URBAN OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN OTHER FREEWAYS AND EXPRESSWAYS |
| Asphalt - County VMT | UOPA | Use this column to update the county-level vehicular miles traveled on URBAN OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | Calculated using State VMT from FHWA Highway Statistics (Table VM-2) and allocated to county using EPA Motor Vehicle Emissions Simulator (MOVES) data. https://www .fhwa.dot.gov/policy information/statistics/2020/ |
URBAN OTHER PRINCIPAL ARTERIAL |
| Asphalt - Paved Road Miles | PAV_RINT | Use this column to update the state-level paved road length, in miles, for RURAL INTERSTATE roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_RLOC | Use this column to update the state-level paved road length, in miles, for RURAL LOCAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_RMJC | Use this column to update the state-level paved road length, in miles, for RURAL MAJOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_RMNA | Use this column to update the state-level paved road length, in miles, for RURAL MINOR ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_RMNC | Use this column to update the state-level paved road length, in miles, for RURAL MINOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_ROFX | Use this column to update the state-level paved road length, in miles, for RURAL OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_ROPA | Use this column to update the state-level paved road length, in miles, for RURAL OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UINT | Use this column to update the state-level paved road length, in miles, for URBAN INTERSTATE roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_ULOC | Use this column to update the state-level paved road length, in miles, for URBAN LOCAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UMJC | Use this column to update the state-level paved road length, in miles, for URBAN MAJOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UMNA | Use this column to update the state-level paved road length, in miles, for URBAN MINOR ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UMNC | Use this column to update the state-level paved road length, in miles, for URBAN MINOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UOFX | Use this column to update the state-level paved road length, in miles, for URBAN OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | PAV_UOPA | Use this column to update the state-level paved road length, in miles, for URBAN OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_RINT | Use this column to update the state-level total functional system length, in miles, for RURAL INTERSTATE roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_RLOC | Use this column to update the state-level total functional system length, in miles, for RURAL LOCAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_RMJC | Use this column to update the state-level total functional system length, in miles, for RURAL MAJOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_RMNA | Use this column to update the state-level total functional system length, in miles, for RURAL MINOR ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_RMNC | Use this column to update the state-level total functional system length, in miles, for RURAL MINOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_ROFX | Use this column to update the state-level total functional system length, in miles, for RURAL OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_ROPA | Use this column to update the state-level total functional system length, in miles, for RURAL OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UINT | Use this column to update the state-level total functional system length, in miles, for URBAN INTERSTATE roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_ULOC | Use this column to update the state-level total functional system length, in miles, for URBAN LOCAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UMJC | Use this column to update the state-level total functional system length, in miles, for URBAN MAJOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UMNA | Use this column to update the state-level total functional system length, in miles, for URBAN MINOR ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UMNC | Use this column to update the state-level total functional system length, in miles, for URBAN MINOR COLLECTOR roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UOFX | Use this column to update the state-level total functional system length, in miles, for URBAN OTHER FREEWAYS AND EXPRESSWAYS roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Paved Road Miles | TOT_UOPA | Use this column to update the state-level total functional system length, in miles, for URBAN OTHER PRINCIPAL ARTERIAL roads in the Asphalt Tool. | FHWA Highway Statistics, Table HM-51. https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Asphalt - Asphalt Roofing | ASPHALT_ROOF_USAGE | Use this column to update the county-level amount of asphalt roofing used, in tons. | Asphalt Institute, 2023 | |
| Asphalt - State Asphalt Use | ASPHALT_HOT | Use this column to update the state-level asphalt usage, in short tons, for the respective applications in the Asphalt Tool. | Calculated using the Asphalt Institute's 2020 Asphalt Usage Survey for the United States and Canada (https:// www.asphaltinstitute.org/wp -content/uploads/dlm_ uploads/FINAL-2020- Asphalt-Usage-Survey.pdf) and the National Asphalt Pavement Association's 2019 Asphalt Pavement Industry Survey on Recycled Materials and Warm-Mix Asphalt Usage (https://www. asphaltinstitute.org/wp- content/uploads/dlm_ uploads/Asphalt-Usage- Survey-2019.pdf) |
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| Asphalt - State Asphalt Use | ASPHALT_WARM | Use this column to update the state-level asphalt usage, in short tons, for the respective applications in the Asphalt Tool. | Calculated using the Asphalt Institute's 2020 Asphalt Usage Survey for the United States and Canada (https:// www.asphaltinstitute.org/wp -content/uploads/dlm_ uploads/FINAL-2020- Asphalt-Usage-Survey.pdf) and the National Asphalt Pavement Association's 2019 Asphalt Pavement Industry Survey on Recycled Materials and Warm-Mix Asphalt Usage (https://www. asphaltinstitute.org/wp- content/uploads/dlm_ uploads/Asphalt-Usage- Survey-2019.pdf) |
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| Asphalt - State Asphalt Use | CUTBACK | Use this column to update the state-level asphalt usage, in short tons, for the respective applications in the Asphalt Tool. | Calculated using the Asphalt Institute's 2020 Asphalt Usage Survey for the United States and Canada (https:// www.asphaltinstitute.org/wp -content/uploads/dlm_ uploads/FINAL-2020- Asphalt-Usage-Survey.pdf) and the National Asphalt Pavement Association's 2019 Asphalt Pavement Industry Survey on Recycled Materials and Warm-Mix Asphalt Usage (https://www. asphaltinstitute.org/wp- content/uploads/dlm_ uploads/Asphalt-Usage- Survey-2019.pdf) |
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| Asphalt - State Asphalt Use | EMULSIFIED | Use this column to update the state-level asphalt usage, in short tons, for the respective applications in the Asphalt Tool. | Calculated using the Asphalt Institute's 2020 Asphalt Usage Survey for the United States and Canada (https:// www.asphaltinstitute.org/wp -content/uploads/dlm_ uploads/FINAL-2020- Asphalt-Usage-Survey.pdf) and the National Asphalt Pavement Association's 2019 Asphalt Pavement Industry Survey on Recycled Materials and Warm-Mix Asphalt Usage (https://www. asphaltinstitute.org/wp- content/uploads/dlm_ uploads/Asphalt-Usage- Survey-2019.pdf) |
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| Aviation Gasoline - County Control Factor | FACTOR | Use this column to update the county-level control factor used in the Aviation Gasoline Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Aviation Gasoline - County LTOs | LTO | Use this column to update the county-level number of landings and take-offs used in the Aviation Gasoline tool. | Provided by EPA Office of Air Quality Planning and Standards |
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| Central Database - Animal Populations | DAIRY | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | LAYERS | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | SWINE | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | TURKEYS | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | BEEF | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | GOATS | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | HORSES_PONIES | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | SHEEP_LAMBS | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Animal Populations | BROILERS | Use this column to update the county-level animal populations of the respective animal types used in the Dust from Hooves, Agricultural Silage, and Agricultural Livestock Waste Tools. | Provided by EPA, based on EPA GHG Inventory |
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| Central Database - Coal Distribution Ratios | ANTHRACITE | Use this column to update the ratios used in the residential heating and ICI tools to divide total coal data into anthracite and bituminous coal types. Enter a value between 0 and 1. The Agency Values for Anthracite Coal Ratio and Bituminous Coal Ratio columns for each state should sum to equal 1. | EIA. 2008. Domestic Distribution of US Coal by Destination State, Consumer, Origin, and Method of Transportation. https://www.eia.gov/coal /distribution/annual/archive/ 2006/d_06state.pdf |
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| Central Database - Coal Distribution Ratios | BITUMINOUS | Use this column to update the ratios used in the residential heating and ICI tools to divide total coal data into anthracite and bituminous coal types. Enter a value between 0 and 1. The New Anthracite Coal Ratio and New Bituminous Coal Ratio columns for each state should sum to equal 1. | EIA. 2008. Domestic Distribution of US Coal by Destination State, Consumer, Origin, and Method of Transportation. https://www.eia.gov/coal /distribution/annual/archive/ 2006/d_06state.pdf |
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| Central Database - County Silt Content | SILT_PCT | Use this column to update the silt content used in the dust tools. Silt percent should be reported as a % between 1 and 100. | Assumption based on USDA National Cooperative Soil Survey; see Construction Dust NEMOs. |
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| Central Database - Population | POPULATION | Use this column to update the county-level population used in multiple tools. | US Census Bureau. https:// www.census.gov/programs- surveys/popest/technical- documentation/research/ evaluation-estimates/2020 -evaluation-estimates/ 2010s-counties-total.html |
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| Central Database - SEDS | FUEL_USE | Use this column to update any data on fuel usage for the residential heating, aviation gasoline, and ICI tools. Units vary by fuel type and sector. | Energy Information Administration. 2019. State Energy Data System. https: //www.eia.gov/state/seds/ |
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| Central Database - Sulfur and Ash Content | RES_ANTH_SULF | Use this column to update the SULFUR content of RESIDENTIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions |
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| Central Database - Sulfur and Ash Content | RES_BITUM_SULF | Use this column to update the SULFUR content of RESIDENTIAL BITUMINOUS/SUBBITUMINOUS COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | RES_HEAT_SULF | Use this column to update the SULFUR content of RESIDENTIAL HEATING OIL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | RES_KERO_SULF | Use this column to update the SULFUR content of RESIDENTIAL KEROSENE used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | RES_ANTH_ASH | Use this column to update the ASH content of RESIDENTIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | COM_ANTH_SULF | Use this column to update the SULFUR content of COMMERCIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | COM_BITUM_SULF | Use this column to update the SULFUR content of COMMERCIAL BITUMINOUS/SUBBITUMINOUS COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | COM_RESID_SULF | Use this column to update the SULFUR content of COMMERCIAL RESIDUAL OIL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | COM_DIST_SULF | Use this column to update the SULFUR content of COMMERCIAL DISTILLATE OIL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | COM_ANTH_ASH | Use this column to update the ASH content of COMMERCIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | IND_ANTH_SULF | Use this column to update the SULFUR content of INDUSTRIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | IND_BITUM_SULF | Use this column to update the SULFUR content of INDUSTRIAL BITUMINOUS/SUBBITUMINOUS COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | IND_RESID_SULF | Use this column to update the SULFUR content of INDUSTRIAL RESIDUAL OIL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | IND_DIST_SULF | Use this column to update the SULFUR content of INDUSTRIAL DISTILLATE OIL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Central Database - Sulfur and Ash Content | IND_ANTH_ASH | Use this column to update the ASH content of INDUSTRIAL ANTHRACITE COAL used in multiple tools. The content should be reported as a fraction from 0 to 1. | N/A; see Residential Heating and ICI NEMOs for assumptions. |
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| Cooking - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Cooking Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Cooking - County-level Restaurants | RESTAURANTS | Use this column to update the county-level number of restaurants by type in the Cooking Tool. See the Cooking NEMO for information on SIC codes and corresponding restaurant types. | OpenStreetMap, 2023 | |
| Compost - County Control Factor | FACTOR | Use this column to update the county-level control factor used in the Compost Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Compost - State-level Food Waste | FOOD_WASTE | Use this column to update the state-level amount of food waste composted in the compost tool. Data should be recorded in units of tons. | EPA. 2014. Food Waste Management in the United States. https://www.epa.gov /sites/default/files/2016-12/ documents/food_waste_ management_2014_120820 16_508.pdf |
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| Compost - State-level Yard Waste | YARD_WASTE | Use this column to update the state-level amount of yard waste composted in the compost tool. Data should be recorded in units of tons. | Calculated from 2015 national yard waste data from Advancing Sustainable Materials Management: 2015 Fact Sheet . https:// www.epa.gov/facts-and- figures-about-materials- waste-and-recycling/ advancing-sustainable- materials-management. |
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| Construction Dust and Open Burning - Bldgs w 5 or more units | UNITS5 | Use this column to update the number of units in buildings with 5 or more units in the Construction Dust and Open Burning Tool. | US Census Bureau, New Privately Owned Housing Units Authorized Unadjusted Units. https://www.census .gov/construction/bps /stateannual.html |
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| Construction Dust and Open Burning - Burn Ban Effectiveness | RES_BB_ADJUSTMENT | Use this column to update the RESIDENTIAL burn ban adjustment in the Construction Dust and Open Burning Tool. This adjustment factor is multiplied by the estimated amount of yard waste and household waste burned in each county. If a burn ban in a county is expected to completely eliminate yard waste and household waste burning, enter a value of 0. If it will reduce it by 50%, enter a value of 0.5. The default value in each county is 1, meaning that the activity data are not currently adjusted for burn bans. The adjustment factor can range from 0.0 to 1.0. | N/A; see Open Burning Yard Waste and Open Burning RHW NEMOs for assumptions |
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| Construction Dust and Open Burning - Burn Ban Effectiveness | LCD_BB_ADJUSTMENT | Use this column to update the LAND CLEARING DEBRIS burn ban adjustment in the Construction Dust and Open Burning Tool. This adjustment factor is multiplied by the estimated amount of land clearing debris burned in each county. If a burn ban in a county is expected to completely eliminate land clearing debris burning, enter a value of 0. If it will reduce it by 50%, enter a value of 0.5. The default value in each county is 1, meaning that the activity data are not currently adjusted for burn bans. The adjustment factor can range from 0.0 to 1.0. | N/A; see Open Burning Yard Waste and Open Burning RHW NEMOs for assumptions. |
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| Construction Dust and Open Burning - County Building Permits | BLDG_PERMITS1 | Use this column to update the county-level number of BUILDINGS permitted for 1-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | BLDG_PERMITS2 | Use this column to update the county-level number of BUILDINGS permitted for 2-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | BLDG_PERMITS3 | Use this column to update the county-level number of BUILDINGS permitted for 3-4-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | BLDG_PERMITS5 | Use this column to update the county-level number of BUILDINGS permitted for 5+-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | UNITS_PERMITS1 | Use this column to update the county-level number of UNITS permitted for 1-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | UNITS_PERMITS2 | Use this column to update the county-level number of UNITS permitted for 2-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | UNITS_PERMITS3 | Use this column to update the county-level number of UNITS permitted for 3-4-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Building Permits | UNITS_PERMITS5 | Use this column to update the county-level number of UNITS permitted for 5+-UNIT BUILDINGS in the Construction Dust and Open Burning Tool. | US Census Bureau. Annual Housing Units Authorized by Building Permits https:// www2.census.gov/econ/bps /County/ |
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| Construction Dust and Open Burning - County Control Factor | FACTOR | Use this column to update the county-level control factor used in the Construction Dust and Open Burning Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Construction Dust and Open Burning - County PE values | PE | Use this column to update the county-level precipitation-evaporation (PE) values in the Construction Dust and Open Burning Tool. | Midwest Research Institute. 1996. Improvement of Specific Emission Factors (BACM Project No. 1). Prepared for South Coast Air Quality Management District. |
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| Construction Dust and Open Burning - County-Level LCD Burned | LCD_BURNED | Use this column to update the county-level amount of land clearing debris burned in the Construction Dust and Open Burning Tool. Values should be recorded in units of tons | Calculated based on total acres disturbed in the county by nonresidential, residential, and road construction and the county-level weighted average fuel loading factor. |
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| Construction Dust and Open Burning - Land Cover | GRASSES | Use this column to update the acres of GRASSES in the Construction Dust and Open Burning Tool. These data are used with the fuel loading factors (from another worksheet) to estimate the amount of land clearing debris burned in construction projects. Data should be recorded in units of acres. | EPA. Biogenic Emission Landcover Database (BELD). https://www.epa.gov/air- emissions-modeling/ biogenic-emissions-landuse- database-version-3-beld3 |
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| Construction Dust and Open Burning - Land Cover | HARDWOODS | Use this column to update the acres of HARDWOODS in the Construction Dust and Open Burning Tool. These data are used with the fuel loading factors (from another worksheet) to estimate the amount of land clearing debris burned in construction projects. Data should be recorded in units of acres. | EPA. Biogenic Emission Landcover Database (BELD). https://www.epa.gov/air- emissions-modeling/ biogenic-emissions-landuse- database-version-3-beld3 |
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| Construction Dust and Open Burning - Land Cover | OTHER | Use this column to update the acres of OTHER LAND COVER in the Construction Dust and Open Burning Tool. These data are used with the fuel loading factors (from another worksheet) to estimate the amount of land clearing debris burned in construction projects. Data should be recorded in units of acres. | EPA. Biogenic Emission Landcover Database (BELD). https://www.epa.gov/air- emissions-modeling/ biogenic-emissions-landuse- database-version-3-beld3 |
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| Construction Dust and Open Burning - Land Cover | SOFTWOODS | Use this column to update the acres of SOFTWOODS in the Construction Dust and Open Burning Tool. These data are used with the fuel loading factors (from another worksheet) to estimate the amount of land clearing debris burned in construction projects. Data should be recorded in units of acres. | EPA. Biogenic Emission Landcover Database (BELD). https://www.epa.gov/air- emissions-modeling/ biogenic-emissions-landuse- database-version-3-beld3 |
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| Construction Dust and Open Burning - Road Constr Spending | RURAL_COLLECTOR | Use this column to update the state-level annual value of road construction on RURAL COLLECTOR road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Road Constr Spending | RURAL_INTERSTATE | Use this column to update the state-level annual value of road construction on RURAL INTERSTATE road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Road Constr Spending | RURAL_OTH_ARTERIALS | Use this column to update the state-level annual value of road construction on RURAL OTHER ARTERIAL road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Road Constr Spending | URBAN_COLLECTOR | Use this column to update the state-level annual value of road construction on URBAN COLLECTOR road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Road Constr Spending | URBAN_INTERSTATE | Use this column to update the state-level annual value of road construction on URBAN INTERSTATE road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Road Constr Spending | URBAN_OTH_ARTERIALS | Use this column to update the state-level annual value of road construction on URBAN OTHER ARTERIAL road types in the Construction Dust and Open Burning Tool. Data should be recorded in units of thousand US dollars. | Calculated using FHWA Highway Statistics (Table SF -12A; https://www.fhwa.dot .gov/policyinformation/ statistics/2020/) and FLDOT's Generic Cost per Mile Models (https://www. fdot.gov/program management/estimates/lre/ costpermilemodels/ cpmsummary.shtm) |
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| Construction Dust and Open Burning - Yard Waste Adjustment | ADJ_FACTOR | Use this column to update the yard waste adjustment factor used in the Construction Dust and Open Burning Tool. The adjustment factor is based on the fraction of forested acres in each county, and is multiplied by the estimated amount of yard waste burned in each county. The default values are 1 for counties with more than 50% forest cover, 0.5 for counties with between 10% and 50% forest cover, and 0 for counties with less than 10% forest cover. The adjustment factor should be between 0.0 and 1.0. | Calculated based on EPA, Biogenic Emission Landcover Database (BELD) |
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| County Business Patterns - County Employment | EMPLOYMENT | Use this column to update the county-level employment for each NAICS code. | US Census Bureau. County Business Patterns. https:// www.census.gov/programs- surveys/cbp/data/tables. html |
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| County Business Patterns - Employment by SCC | EMPLOYMENT | Use this column to provide data on the amount of employment in each county for each SCC. This is a different option than the "County Business Patterns - County Employment" template, which includes employment data by NAICS code rather than SCC. | US Census Bureau. County Business Patterns. |
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| County Business Patterns - State Employment | EMPLOYMENT | Use this column to update the state-level employment for each NAICS code. | US Census Bureau. County Business Patterns. https:// www.census.gov/programs- surveys/cbp/data/tables. html |
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| Cremation - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Cremation Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Cremation - County-Level Deaths | POPULATION | Use this column to update the county-level population by age group in the Cremation Tool. | CDC WONDER Database. https://wonder.cdc.gov/ |
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| Cremation - County-Level Deaths | DEATHS | Use this column to update the county-level deaths by age group in the Cremation Tool. | CDC WONDER Database. https://wonder.cdc.gov/ |
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| Cremation - Cremation Rate | CREMATION | Use this column to update the state cremation rate used in the Cremation Tool. Data should be reported as a value between 0 and 1. | National Funeral Directors Association. 2020. Cremation and Burial Report. https://portal.nfda.org/Shop /Product-Catalog/Product- Details?productid=%7b885F C378-D6BB-EA11-80CF-94 188202C19F%7d |
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| Dust from Hooves - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Dust from Hooves Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| ICI - Boiler - Engine Split | BOILER_COM | Use this column to update the percentage of distillate used in COMMERCIAL BOILERS. Data should be reported as a value between 0 and 1. The sum of boiler and engine assumptions in the commercial sector should equal 1. | Energy Information Administration. 2017. Manufacturing Energy Consumption Survey. https: //www.eia.gov/ consumption/manufacturing /Energy Information Administration. 2015. Commercial Building Energy Consumption Survey. https: //www.eia.gov/consumption /commercial/ |
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| ICI - Boiler - Engine Split | BOILER_IND | Use this column to update the percentage of distillate used in INDUSTRIAL BOILERS. Data should be reported as a value between 0 and 1. The sum of boiler and engine assumptions in the industrial sector should equal 1. | Energy Information Administration. 2017. Manufacturing Energy Consumption Survey. https: //www.eia.gov/ consumption/manufacturing /Energy Information Administration. 2015. Commercial Building Energy Consumption Survey. https: //www.eia.gov/consumption /commercial/ |
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| ICI - Boiler - Engine Split | ENGINES_COM | Use this column to update the percentage of distillate used in COMMERCIAL ENGINES. Data should be reported as a value between 0 and 1. The sum of boiler and engine assumptions in the commercial sector should equal 1. | Energy Information Administration. 2017. Manufacturing Energy Consumption Survey. https: //www.eia.gov/ consumption/manufacturing /Energy Information Administration. 2015. Commercial Building Energy Consumption Survey. https: //www.eia.gov/consumption /commercial/ |
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| ICI - Boiler - Engine Split | ENGINES_IND | Use this column to update the percentage of distillate used in INDUSTRIAL ENGINES. Data should be reported as a value between 0 and 1. The sum of boiler and engine assumptions in the industrial sector should equal 1. | Energy Information Administration. 2017. Manufacturing Energy Consumption Survey. https: //www.eia.gov/ consumption/manufacturing /Energy Information Administration. 2015. Commercial Building Energy Consumption Survey. https: //www.eia.gov/consumption /commercial/ |
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| ICI - Control Factor - County | FACTOR | Use this column to update the 5-digit county FIPS code for all counties associated with the control factors you are submitting. If you wish to submit control factors for more than one county, copy the necessary row(s) to the bottom of the table. There is no need to copy rows for which you will not be submitting control factors. | N/A | |
| ICI - Control Factor - State | FACTOR | Use this column to update the state-level control factor used in the ICI Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| ICI - County Allocations | ICI_INDUSTRIAL_ALLOCATION | Use this column to update the fraction of industrial sector employment in each county within each state. Allocation factors should sum to 1 at the state level. | U.S. Census Bureau, County Business Patterns. |
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| ICI - County Allocations | ICI_COMMERCIAL_ALLOCATION | Use this column to update the fraction of commercial sector employment in each county within each state. Allocation factors should sum to 1 at the state level | U.S. Census Bureau, County Business Patterns. |
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| ICI - Distillate Stationary Source Assumptions | NO1DIST_INDUSTRIAL | Enter the fraction of NO 1 DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2FUELOIL_IND | Enter the fraction of NO 2 FUEL OIL used in the INDUSTRIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2LOWS_INDUSTRIAL | Enter the fraction of NO2 LOW SULFUR DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO4DIST_IND | Enter the fraction of NO 4 DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO1DIST_IND_MOBILE | Enter the fraction of NO 1 DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2FUELOIL_IND_MOB | Enter the fraction of NO 2 FUEL OIL used in the INDUSTRIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2LOWS_IND_MOBILE | Enter the fraction of NO2 LOW SULFUR DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO4DIST_IND_MOB | Enter the fraction of NO 4 DISTILLATE FUEL used in the INDUSTRIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO1DIST_COMMERCIAL | Enter the fraction of NO 1 DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2FUELOIL_COM | Enter the fraction of NO 2 FUEL OIL used in the COMMERCIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2LOWS_COMMERCIAL | Enter the fraction of NO2 LOW SULFUR DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO4DIST_COM | Enter the fraction of NO 4 DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO1DIST_COM_MOBILE | Enter the fraction of NO 1 DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2FUELOIL_COM_MOB | Enter the fraction of NO 2 FUEL OIL used in the COMMERCIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO2LOWS_COM_MOBILE | Enter the fraction of NO2 LOW SULFUR DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | NO4DIST_COM_MOB | Enter the fraction of NO 4 DISTILLATE FUEL used in the COMMERCIAL sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | DIESEL_FARM | Enter the fraction of DIESEL used in the FARM sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | DIESEL_FARM_MOBILE | Enter the fraction of DIESEL used in the FARM sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | OTHERDIST_FARM | Enter the fraction of OTHER DISTILLATE used in the FARM sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | OTHERDIST_FARM_MOB | Enter the fraction of OTHER DISTILLATE used in the FARM sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | TOTALDIST_OFFHWY | Enter the fraction of TOTAL DISTILLATE used in the OFF HIGHWAY sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | TOTALDIST_OFFHWY_MOB | Enter the fraction of TOTAL DISTILLATE used in the OFF HIGHWAY sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | TOTALDIST_OILCO | Enter the fraction of TOTAL DISTILLATE used in the OIL COMPANY sector that is consumed by STATIONARY sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Stationary Source Assumptions | TOTALDIST_OILCO_MOB | Enter the fraction of TOTAL DISTILLATE used in the OIL COMPANY sector that is consumed by MOBILE sources. Values should be entered as a number between 0 and 1. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Distillate Sales Data | SALES | Use this column to enter new assumptions about distillate consumption by sector and fuel type. Default values assume consumption based on sales data with units of thousand gallons. Note that the Commercial sector in this table maps to the Commercial sector in the ICI tool and all other sectors map to the Industrial sector. | EIA Form 821 Distillate Sales Data. https://www.eia .gov/petroleum/data.php #consumption |
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| ICI - LPG Stationary Source Assumptions | PCT_MOBILE_COM | Enter the fraction of LPG fuel used that is consumed by MOBILE sources in the COMMERCIAL sector. Values should be entered as a number between 0 and 1. Values for stationary and mobile should sum to 1 for the commercial sector. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - LPG Stationary Source Assumptions | PCT_MOBILE_IND | Enter the fraction of LPG fuel used that is consumed by MOBILE sources in the INDUSTRIAL sector. Values should be entered as a number between 0 and 1. Values for stationary and mobile should sum to 1 for the industrial sector. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - LPG Stationary Source Assumptions | PCT_STATIONARY_COM | Enter the fraction of LPG fuel used that is consumed by STATIONARY sources in the COMMERCIAL sector. Values should be entered as a number between 0 and 1. Values for stationary and mobile should sum to 1 for the commercial sector. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - LPG Stationary Source Assumptions | PCT_STATIONARY_IND | Enter the fraction of LPG fuel used that is consumed by STATIONARY sources in the INDUSTRIAL sector. Values should be entered as a number between 0 and 1. Values for stationary and mobile should sum to 1 for the industrial sector. | Fraction is based on results from the National Mobile Inventory Model (NMIM) |
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| ICI - Nonfuel Use | COAL | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Nonfuel Use | DISTILLATE | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Nonfuel Use | KEROSENE | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Nonfuel Use | LPG | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Nonfuel Use | NATURAL_GAS | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Nonfuel Use | RESIDUAL_OIL | Enter the fraction of fuel used as an input to industrial processes where it is not combusted. Values should be entered as a number between 0 and 1. | Calculated using EIA Manufacturing Energy Consumption Survey. https: //www.eia.gov/consumption /manufacturing/index.php |
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| ICI - Option A | FUEL_CONSUME_XXXX | Use this column to submit group point activity data by NAICS code (to determine the sector) and by point SCC (to determine the fuel type) for point source subtraction in the ICI tool. | N/A | |
| ICI - Option B | FUEL_CONSUME_XXXX | Use this column to submit group point activity data by NAICS code (to determine the sector) and by point SCC (determined by the SLT agency using some other method) for point source subtraction in the ICI tool. | N/A | |
| ICI - Option C | FUEL_CONSUME_XXXX | Use this column to submit group point activity data by sector and fuel type for point source subtraction in the ICI tool. | N/A | |
| ICI - Option D | FUEL_CONSUME_XXXX | Use this column to submit group NONPOINT activity data by sector and fuel type for point source subtraction in the ICI tool. | N/A | |
| Landfills - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Landfills Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Landfills - County-level waste from landfill | WASTE_DISPOSE | Use this column to update the tons of waste in landfills in the Landfills Tool. Note that this should be the annual amount of waste disposed in landfills in each county--not the total waste in place. Data should be recorded in tons. | US EPA LMOP database. https://www.epa.gov/lmop/ lmop-landfill-and-project- database#access |
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| Mining and Quarrying - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Mining and Quarrying Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Mining and Quarrying - County Coal Production | COAL | Use this column to update the coal production amounts used in the Mining and Quarrying Tool. Data should be recorded in units of short tons. | EIA, "Detailed data from the EIA-71 and the US Mine Safety and Health Administration." https:// www.eia.gov/coal/data.php |
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| Mining and Quarrying - Metal Non Metal Production | METAL, MINERAL | Use this column to update the respective metal or mineral production amounts used in the Mining and Quarrying Tool. Data should be recorded in units of thousands of tons. | USGS, Minerals Yearbook. https://www.usgs.gov/ centers/national-minerals- information-center/mining- and-quarrying#myb |
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| Motor Vehicle Fires - County Incidents | INCIDENTS | Use this column to update the number of incidents of motor vehicle fires in indicated county. | NFIRS, 2022 | |
| Motor Vehicle Fires - Emission Factors | EMISSION_FACTOR | Use this column to update the emission factor for the indicated pollutant code for motor vehicle fires. | EPA, 2024 Method Action Plan |
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| Motor Vehicle Fires - Fuel Load | FUEL_LOAD | Use this column to update the amount of fuel loading (tons per fire) in the indicated county. | EPA, 2024 Method Action Plan |
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| Other Mercury - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Other Mercury Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Other Mercury - Switches Available | SWITCHES | Use this column to update the switches available in the Other Mercury Tool. | ELVS; https://www. usecology.com/services/ recycling/elvs-mercury- switch-program |
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| Other Mercury - Switches Recovered | HG_RECOVER | Use this column to update the mercury recovered from switches in the Other Mercury Tool. | ELVS; http://elvsolutions.org /?page_id=1298 |
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| Other Mercury - Switches Recovered | RECYCLERS | Use this column to update the number of recyclers of mercury switches in the Other Mercury Tool. | ELVS; http://elvsolutions.org /?page_id=1298 |
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| Other Mercury - Switches Recovered | SWITCHES_RECOVER | Use this column to update the number of switches recovered in the Other Mercury Tool. | ELVS; http://elvsolutions.org /?page_id=1298 |
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| Other NH3 - Cats | CATS_PER_HOME | Use this column to update the number of cats per household | American Veterinary Medical Association (AVMA); https://www.avma.org/ resources-tools/reports- statistics/us-pet-ownership- statistics |
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| Other NH3 - Deer | DEER_POP | Use this column to update state deer totals. | A-Z Animals; https://a-z- animals.com/blog/deer- population-by-state/ |
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| Other NH3 - Diapers | POP_AGE_0_TO_4 | Use this column to update the population 0-4 year olds. | ESRI 2023 population numbers; https://storymaps .arcgis.com/stories/aa1ae39 5af2047fcb14a68ab338464 b9 |
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| Other NH3 - Diapers | DOGS_PER_HOME | Use this column to update the number of dogs per household. | AVMA; https://www.avma. org/resources-tools/reports- statistics/us-pet-ownership- statistics |
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| Other NH3 - Smokers | SMOKER_FRAC_OF_POP | Use this column to update the number of smokers | ESRI 2023 population numbers; https://storymaps. arcgis.com/stories/aa1ae395 af2047fcb14a68ab338464 b9 |
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| POTWs - Ctrl Factor by County and Pollu | FACTOR | Use this column to update the county-level control factor used in the POTWS Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| POTWs - Pt Src Activity - Opt A | FLOW_RATE | Use this column to indicate the county flow rate associated with POTWs reported in your point inventory. These values will be used for point source subtraction to prevent double-counting. Data should be recorded in million gallons per year. | N/A; this is submitted by users. |
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| POTWs - Pt Src Emissions - Opt B | EMISSIONS | Use this column to indicate the uncontrolled county-level VOC and NH3 emissions associated with POTWs reported in your point inventory. These values will be used for point source subtraction to prevent double-counting. Data should be recorded in tons. | N/A; this is submitted by users. |
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| POTWs - SLT Submitted Flow Rate | FLOW_RATE | Use this column to update the county wastewater flow rate in the Publicly Owned Treatment Works Tool. Data should be recorded in million gallons per year. | EPA, Clean Watersheds Needs Survey, 2012. Adjusted to 2020 using population. |
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| Residential Heating - County Control Factor | FACTOR | Use this column to update the 5-digit county FIPS code for all counties associated with the control factors you are submitting. If you wish to submit control factors for more than one county, copy the necessary row(s) to the bottom of the table. There is no need to copy rows for which you will not be submitting control factors. | N/A | |
| Residential Heating - Heating Fuel Estimates | HOME_COAL | Use this column to edit data on the number of occupied homes in each county that use COAL or COKE as their primary heating fuel. | Census Bureau, American Community Survey, Table B25040. https://data.census .gov/cedsci/table?q=House %20Heating%20Fuel&d= ACS%201-Year%20 Estimates%20Detailed%20 Tables&tid=ACSDT1Y2019 .B25040&hidePreview=false |
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| Residential Heating - Heating Fuel Estimates | HOME_OIL | Use this column to edit data on the number of occupied homes in each county that use HEATING OIL as their primary heating fuel. | Census Bureau, American Community Survey, Table B25040. https://data.census .gov/cedsci/table?q=House %20Heating%20Fuel&d= ACS%201-Year%20 Estimates%20Detailed%20 Tables&tid=ACSDT1Y2019 .B25040&hidePreview=false |
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| Residential Heating - Heating Fuel Estimates | HOME_LPG | Use this column to edit data on the number of occupied homes in each county that use LPG as their primary heating fuel. | Census Bureau, American Community Survey, Table B25040. https://data.census .gov/cedsci/table?q=House %20Heating%20Fuel&d= ACS%201-Year%20 Estimates%20Detailed%20 Tables&tid=ACSDT1Y2019 .B25040&hidePreview=false |
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| Residential Heating - Heating Fuel Estimates | HOME_GAS | Use this column to edit data on the number of occupied homes in each county that use NATURAL GAS as their primary heating fuel. | Census Bureau, American Community Survey, Table B25040. https://data.census .gov/cedsci/table?q=House %20Heating%20Fuel&d= ACS%201-Year%20 Estimates%20Detailed%20 Tables&tid=ACSDT1Y2019 .B25040&hidePreview=false |
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| Residential Heating - State Control Factor | FACTOR | Use this column to update the state-level control factor used in the Residential Heating Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Road Dust - County Control Factor | FACTOR | Use this column to update the county-level control factor used in the Road Dust Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Road Dust - Met Adjustment Factor | PAVED_FACTOR | Use this column to the update the meteorological adjustment factor used to account for the affect of rain and road moisture on dust emissions from paved roads. Values should be recorded as a number between 0 and 1. | Calculated by EPA based on ratio between adjusted emissions from SMOKE flat file to total unadjusted emissions from 2014v1. |
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| Road Dust - Met Adjustment Factor | UNPAVED_FACTOR | Use this column to the update the meteorological adjustment factor used to account for the affect of rain and road moisture on dust emissions from unpaved roads. Values should be recorded as a number between 0 and 1. | Calculated by EPA based on ratio between adjusted emissions from SMOKE flat file to total unadjusted emissions from 2014v1. |
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| Road Dust - Paved and Unpaved VMT by County | PAVED_VMT | Use this column to update the county-level paved vehicle miles traveled used in the Road Dust Tool. | Calculated using FHWA Highway Statistics (Table VM-2, Table HM-51) and EPA MOVES https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Road Dust - Paved and Unpaved VMT by County | UNPAVED_VMT | Use this column to update the county-level unpaved vehicle miles traveled used in the Road Dust Tool. | Calculated using FHWA Highway Statistics (Table VM-2, Table HM-51) and EPA MOVES https://www. fhwa.dot.gov/policy information/statistics/2020/ |
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| Road Dust - Surface Material Moisture Content | MATERIAL_MOIST | Use this column to update the surface material moisture content values for unpaved roads in each county. Data should be entered as a value form 1 to 100. | Cowherd, C., M.A. Grelinger , C. Kies, and T.G. Pace. 2002. Improved Activity Levels for National Emission Inventories of Fugitive Dust from Paved and Unpaved Roads. Presentation at 11th International Emission Inventory Conference. Atlanta, Georgia, April 15- 18, 2002. |
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| Road Dust - Surface Material Silt Content | MATERIAL_SILT | Use this column to update the surface material silt content values for unpaved roads in each state. Data should be entered as a value from 1 to 100. | W. Barnard, G. Stensland, and D. Gatz. 1987. Illinois State Water Survey, “Evaluation of Potential Improvements in the Estimation of Unpaved Road Fugitive Emission Inventories,” paper 87-58.1, presented at the 80th Annual Meeting of the APCA. New York, New York. June 21-26, 1987. |
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| RWC - Appliance Fractions | FIREPLACE_FRACT | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | WOODSTOVES_FRACT | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | FIRE_INSERT_FRACT | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | CENT_HEATER | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | OUTDOOR_REC_EQUIP | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | PELL_STOVE _FRACT | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Appliance Fractions | WAX _LOG AP_FRACT | Use this column to adjust assumptions about the appliance fractions for each respective appliance type in each county. This number is the estimated fraction of homes in each county that uses each appliance. New Appliance Fractions should be a number between 0 and 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | FIREPLACE_BUR_RATE | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | WOODSTOVES_BUR_RATE | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | FIRE_INSERT_RATES | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | CENT_HEATER_RATES | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | OUTDOOR_EQUIP_BURN | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | PELL_STOVE _RATES | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Burn Rates | WAX _LOG BU_RATES | Use this column to estimate the burn rates (cords or tons/appliance, depending on the appliance). This number is multiplied by the estimated number of appliances in each county to estimate the total amount of wood burned in each county. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Control Factor - County | FACTOR | Use this column to update the county-level control factor used in the RWC Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| RWC - Control Factor - State | FACTOR | Use this column to update the state-level control factor used in the RWC Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| RWC - County-Level Wood Burned | WOOD_BURNED | Use this column to update the county-level amount of wood burned. Data should be recorded in tons of wood burned annually. | Calculated using housing units, distribution factors, and wood density factors. |
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| RWC - Distribution - Central Heaters | PELLET_BOILER | Use this column to adjust assumptions about distribution profiles for PELLET BOILERS. These numbers are used to distribute the total number of central heaters calculated using the appliance fractions into specific SCCs. New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from CEC Survey: CEC. 2019. Residential Wood Use Survey to Improve Black Carbon Emissions Inventory Data for Small-Scale Biomass Combustion. Montreal, Canada: Commission for Environmental Cooperation. |
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| RWC - Distribution - Central Heaters | PELLET_FURNACE | Use this column to adjust assumptions about distribution profiles for PELLET FURNACES. These numbers are used to distribute the total number of central heaters calculated using the appliance fractions into specific SCCs. New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Distribution - Central Heaters | IN_CORDWOOD_BOILER | Use this column to adjust assumptions about distribution profiles for INDOOR CORDWOOD BOILERS. These numbers are used to distribute the total number of central heaters calculated using the appliance fractions into specific SCCs. New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential/ |
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| RWC - Distribution - Central Heaters | IN_CORDWOOD_FURNACE | Use this column to adjust assumptions about distribution profiles for INDOOR CORDWOOD FURNACES. These numbers are used to distribute the total number of central heaters calculated using the appliance fractions into specific SCCs. New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Distribution - Central Heaters | OUT_CORDWOOD_BOILER | Use this column to adjust assumptions about distribution profiles for OUTDOOR CORDWOOD BOILERS. These numbers are used to distribute the total number of central heaters calculated using the appliance fractions into specific SCCs. New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Distribution - Stove & Inserts | UNCERT_DIST | Use this column to adjust assumptions about distribution profiles for UNCERTIFIED WOODSTOVES. These numbers are used to distribute the total number of woodstoves calculated using the appliance fractions into the specific SCCs for woodstoves and fireplace inserts (i.e. non-EPA certified, certified noncatalytic, and certified catalytic). New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Distribution - Stove & Inserts | CERT_DIST | Use this column to adjust assumptions about distribution profiles for CERTIFIED NONCATALYTIC WOODSTOVES. These numbers are used to distribute the total number of woodstoves calculated using the appliance fractions into the specific SCCs for woodstoves and fireplace inserts (i.e. non-EPA certified, certified noncatalytic, and certified catalytic). New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Distribution - Stove & Inserts | CATALYTIC_INSER | Use this column to adjust assumptions about distribution profiles for CERTIFIED CATALYTIC WOODSTOVES. These numbers are used to distribute the total number of woodstoves calculated using the appliance fractions into the specific SCCs for woodstoves and fireplace inserts (i.e. non-EPA certified, certified noncatalytic, and certified catalytic). New Distribution Profiles should be a number between 0 and 1. The Distribution Profiles should sum to 1. | Calculated from EIA RECS 2015. https://www.eia.gov/ consumption/residential// |
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| RWC - Housing Units | HOMES | Use this column to update the total number of occupied housing units in each county. This number is multiplied by the appliance fractions and burn rates (from separate tabs) to estimate the total amount of wood burned in each county. | US Census Bureau, American Community Survey, Table DP04. https:// www.census.gov/programs- surveys/acs/data.html |
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| RWC - Wood Density Factors | DENSITY | Use this column to adjust assumptions about wood density (tons/cord). This number is multiplied by the estimated number of cords burned (for cordwood-burning appliances) to estimate the total tons of wood burned in each county. | USDA Forest Service, Wood Heating , Table 1. Firewood Facts (Dry), and county counts Number of Trees (at least 5 inches) from USDA data pull 1/26/2022. Hardwoods and pine-only softwoods included in weighted fraction analysis. Counties with no tree counts used state-averaged wood density computations. |
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| Solvents - Control Factor | FACTOR | Use this column to update the county-level control factor used in the Solvents Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Solvents - Lane Miles | LANE_MILES | Use this column to update the county-level vehicular lane miles traveled on paved roads used in the Solvent Utilization Tool. County-level lane miles are multiplied by an emissions factor to estimate VOC emissions from traffic markings. | Calculated using FHWA Highway Statistics (Table HM-51; https://www.fhwa. dot.gov/policyinformation/ statistics/2020/) and MOVES. |
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| Solvents - Point Source Emissions | SOURCE_EMISS | Use this column to submit county-level uncontrolled point source VOC emissions data for solvent utilization by SCC. Data should be entered in units of tons. This table includes all point SCCs that map to nonpoint solvent SCCs. If you wish to submit point source emissions for more than one county, copy the necessary row(s) to the bottom of the table. There is no need to copy rows for which you will not be submitting point source data. | N/A; this is submitted by users. |
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| Solvents - States with Controls | ARCHITECTURAL_COATINGS_NEW | Use this column to edit assumptions about which states use controlled emissions factors for architectural coatings. Enter a 1 to indicate your state controls these emissions. Enter a 0 to indicate these emissions are not controlled. | Ozone Transport Commission, Model Rule Adoption Charts https: //otcair.org/upload/ Documents/Model%20Rules /OTC_State_2006_Rule_ Adpotion_04252017.pdf |
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| Solvents - States with Controls | INDUSTRIAL_MAINTENANCE_NEW | Use this column to edit assumptions about which states use controlled emissions factors for industrial maintenance coatings. Enter a 1 to indicate your state controls these emissions. Enter a 0 to indicate these emissions are not controlled. | Ozone Transport Commission, Model Rule Adoption Charts https: //otcair.org/upload/ Documents/Model%20Rules /OTC_State_2006_Rule_ Adpotion_04252017.pdf |
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| Solvents - States with Controls | CONSUMER_SOLVENTS_NEW | Use this column to edit assumptions about which states use controlled emissions factors for consumer solvents. Enter a 1 to indicate your state controls these emissions. Enter a 0 to indicate these emissions are not controlled. | Ozone Transport Commission, Model Rule Adoption Charts https: //otcair.org/upload/ Documents/Model%20Rules /OTC_State_2006_Rule_ Adpotion_04252017.pdf |
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| Stage I Gasoline Distribution - Benzene Speciation | FACTOR | Use this column to update the county benzene emissions factors data in the Stage I Gasoline Distribution tool. Data should be recorded as a fraction of VOC emissions between 0 and 1. | MOVES | |
| Stage I Gasoline Distribution - County Bulk Plant Throughput | BULK_THROU | Use this column to update the county bulk plant throughput data in the Stage I Gasoline Distribution tool. Data should be recorded in thousand barrels. | Calculated using U.S. Energy Information Administration, Petroleum Navigator - Product Supplied, 2020. https://www.eia.gov/dnav/ pet/pet_cons_psup_dc_nus _mbbl_a.htm |
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| Stage I Gasoline Distribution - County Control Factor | FACTOR | Use this column to update the county-level control factor used in the Stage I Gasoline Distribution Tool, where the control factor by default is 0 (no reduction). A value of 1 would represent 100% reduction. Any fraction between 0 and 1 is valid. In the tool, the county-level emissions will be multiplied by (1-control factor). | N/A; this is an assumption submitted by users. |
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| Stage I Gasoline Distribution - County Parameters | SLOPE, TEMPERATURE, RANKINE, EFFICIENCY | Use this column to update the county parameters data in the Stage I Gasoline Distribution tool. For slope, data should be recorded in Fahrenheit per percent. For temperature, data should be recorded in Fahrenheit. For Rankine, data should be recorded in Rankine. The control efficiency should be entered as a percentage between 0 and 100. | U.S. Environmental Protection Agency, “Compilation of Air Pollutant Emission Factors, AP 42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 7: Liquid Storage Tanks,” Office of Air Quality Planning and Standards, Emission Inventory Group, September 1997. Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - County Parameters | TEMPERATURE | Use this column to update the county parameters data in the Stage I Gasoline Distribution tool. For slope, data should be recorded in Fahrenheit per percent. For temperature, data should be recorded in Fahrenheit. For Rankine, data should be recorded in Rankine. The control efficiency should be entered as a percentage between 0 and 100. | U.S. Environmental Protection Agency, “Compilation of Air Pollutant Emission Factors, AP 42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 7: Liquid Storage Tanks,” Office of Air Quality Planning and Standards, Emission Inventory Group, September 1997. Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - County Parameters | RANKINE | Use this column to update the county parameters data in the Stage I Gasoline Distribution tool. For slope, data should be recorded in Fahrenheit per percent. For temperature, data should be recorded in Fahrenheit. For Rankine, data should be recorded in Rankine. The control efficiency should be entered as a percentage between 0 and 100. | U.S. Environmental Protection Agency, “Compilation of Air Pollutant Emission Factors, AP 42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 7: Liquid Storage Tanks,” Office of Air Quality Planning and Standards, Emission Inventory Group, September 1997. Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - County Parameters | EFFICIENCY | Use this column to update the county parameters data in the Stage I Gasoline Distribution tool. For slope, data should be recorded in Fahrenheit per percent. For temperature, data should be recorded in Fahrenheit. For Rankine, data should be recorded in Rankine. The control efficiency should be entered as a percentage between 0 and 100. | U.S. Environmental Protection Agency, “Compilation of Air Pollutant Emission Factors, AP 42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 7: Liquid Storage Tanks,” Office of Air Quality Planning and Standards, Emission Inventory Group, September 1997. Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - Filling Technology | SPLASH_PCT | Use this column to update the county percentage of delivered fuel using SPLASH filling technology in the Stage I Gasoline Distribution tool. Data should be recorded as a percentage between 0 and 100. | Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - Filling Technology | SUBMERGED_PCT | Use this column to update the county percentage of delivered fuel using SUBMERGED filling technology in the Stage I Gasoline Distribution tool. Data should be recorded as a percentage between 0 and 100. | Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - Filling Technology | BALANCE_PCT | Use this column to update the county percentage of delivered fuel using BALANCED filling technology in the Stage I Gasoline Distribution tool. Data should be recorded as a percentage between 0 and 100. | Pacific Environmental Services, Inc., "Draft Summary of the Analysis of the Emissions Reported in the 1999 NEI for Stage I and Stage II Operations at Gasoline Service Stations," prepared for the U.S. Environmental Protection Agency and the Emission Inventory Improvement Program, September 2002. | |
| Stage I Gasoline Distribution - Loading Loss | LOADING_LOSS | Use this column to update the county loading loss of liquid loaded data in the Stage I Gasoline Distribution tool. Data should be recorded in pounds per 1000 gallons. | Calculation; see NEMO for details | |
| Stage I Gasoline Distribution - Nonroad Gas Consumption | RVP | Use this column to update the county Reid vapor pressure (RVP) data for fuels in the Stage I Gasoline Distribution tool. RVP data should be recorded in pounds per square inch. RVP values will be used for both nonroad and onroad gas consumption. | MOVES, provided by EPA | |
| Stage I Gasoline Distribution - Nonroad Gas Consumption | NR_FUEL_CONSUME | Use this column to update the county nonroad gas consumption data in the Stage I Gasoline Distribution tool. Nonroad gas consumption data should be recorded in gallons. | MOVES, provided by EPA | |
| Stage I Gasoline Distribution - Onroad Gas Consumption | ON_FUEL_CONSUME | Use this column to update the county on road gas consumption data in the Stage I Gasoline Distribution tool. Data should be recorded in gallons. | MOVES, provided by EPA | |
| Stage I Gasoline Distribution - Point Source Emissions | EMISSIONS | Use this column to submit uncontrolled county-level point source VOC emissions data, in tons, for stage 1 gasoline distribution by SCC. This table includes all point SCCs that map to nonpoint stage 1 gasoline distribution SCCs. |
N/A; this is submitted by users. |
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| Structure Fires - County Incidents | INCIDENTS | Use this column to update the number of incidents of structure vehicle fires in indicated county. | NFIRS, 2022 | |
| Structure Fires - Emission Factors | EMISSION_FACTOR | Use this column to update the emission factor for the indicated pollutant code for structure fires. | EPA, 2024 Method Action Plan |
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| Structure Fires - Fuel Load | FUEL_LOAD | Use this column to update the amount of fuel loading (tons per fire) in the indicated county. | EPA, 2024 Method Action Plan |