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2. What the PM Rule Requires States to Do Regarding Inventories. Base Year InventoryProjection Year InventoryReasonable Further Progress. 3. Base Year Inventory. Used for Attainment Demonstration2002 is recommended for base year but could be other suitable yearEmission requirements CERR Emission requirements are a minimum(Consolidated Emission Reporting Rule) http://www.epa.gov/ttn/chief/cerr/index.html.
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1. 1 Emission Inventory Issues Roy Huntley
Emission Inventory & Analysis Group, US EPA, OAQPS
June 20, 2007
Huntley.Roy@epa.gov
2. 2 What the PM Rule Requires States to Do Regarding Inventories Base Year Inventory
Projection Year Inventory
Reasonable Further Progress There are 3 invnetories required by the PM rule.
Base Year Inventory
Projection year inventory
And an inventory to measure reasonable further progressThere are 3 invnetories required by the PM rule.
Base Year Inventory
Projection year inventory
And an inventory to measure reasonable further progress
3. 3 Base Year Inventory Used for Attainment Demonstration
2002 is recommended for base year but could be other suitable year
Emission requirements
CERR Emission requirements are a minimum
(Consolidated Emission Reporting Rule)
http://www.epa.gov/ttn/chief/cerr/index.html
Parts of CERR that are relevant to what you need for SIP inventory development are not substantially different in the AERR proposal.Parts of CERR that are relevant to what you need for SIP inventory development are not substantially different in the AERR proposal.
4. 4 Base Year Inventory Report directly emitted PM plus all PM precursors
Includes VOC, NOx, SO2, and NH3
Plus CO
Include PM condensables
Required by CERR
PM emissions limits in SIP dont have to include condensables, but PM in the EI has to include condensables.
May want to more highly resolve emissions from certain nonpoint categories
Like ports, residential wood combustion AERR proposed Jan 3 2006
Promulgated by end of summer 2007AERR proposed Jan 3 2006
Promulgated by end of summer 2007
5. 5 Projection Year Inventory Inventory projected to year prior to attainment
Ex. 2009 for 2010 attainment
Reason is that attainment date is April 5
May have multiple projection years
Potentially 2009, 2012, 2014
Same level of detail as base year inventory
6. 6 Overview of Preparing a File for Attainment Modeling
7. 7 Preparing Emission Inventory Data File for Modeling AQ models need hourly emissions of model species
Temporally allocate emissions to hourly
Spatially allocate emissions to grid cells
Speciate PM + VOC
Do for base and future year(s)
8. 8 Some Things to Consider Can use hourly EGU data from CAMD (EPA) for base year
Can spatially allocate onroad emissions to a road network
9. 9 Tools PM resource center Provides links to resources used for developing PM 2.5 emission inventories.
http://www.epa.gov/ttn/chief/eiip/pm25inventory/index.html
Getting Started
Introduction to PM2.5 inventories, standards, and data.
Inventory Preparation
Inventory concepts, guidance and procedures.
Tools
Emission Estimation Tools and Activity Data.
Emissions QC, Preprocessing and Projections
Quality Control (QC) and model preprocessing resources.
Emission Modeling Clearinghouse (later slide)
Inventory concepts - EIIP Volume 1, Introduction to the Emission Inventory Improvement Program (PDF 557K)
Defining the Purpose of the InventoryTraining Inventory Staff
Organizing and Staffing the EffortPreparing a QA PlanDevelop Data Quality ObjectivesData HandlingDocumenting the Effort
Emission Modeling Clearinghouse.
US Department of Agriculture Census data - 2002 Census of Agriculture
US Census Bureau County Business Patterns
Dept of Transportation Bureau of Transportation Statistics
Interagency Real-Time Smoke Particulate Monitoring Web Site - USDA Forest Service , US Dept Fish and Wildlife Service, US Bureau of Land Management.
Emission Inventory Improvement Program Volume 4: Mobile Sources
Emission Inventory Improvement Program Volume 3: CH 15 - Landfills (PDF 190K)
Inventory concepts - EIIP Volume 1, Introduction to the Emission Inventory Improvement Program (PDF 557K)
Defining the Purpose of the InventoryTraining Inventory Staff
Organizing and Staffing the EffortPreparing a QA PlanDevelop Data Quality ObjectivesData HandlingDocumenting the Effort
Emission Modeling Clearinghouse.
US Department of Agriculture Census data - 2002 Census of Agriculture
US Census Bureau County Business Patterns
Dept of Transportation Bureau of Transportation Statistics
Interagency Real-Time Smoke Particulate Monitoring Web Site - USDA Forest Service , US Dept Fish and Wildlife Service, US Bureau of Land Management.
Emission Inventory Improvement Program Volume 4: Mobile Sources
Emission Inventory Improvement Program Volume 3: CH 15 - Landfills (PDF 190K)
10. 10 Tools (continued) Emission Factors
Webfire - http://www.epa.gov/ttn/chief/efpac/index.html
NEI documentation - http://www.epa.gov/ttn/chief/net/2002inventory.html#documentation
Nonpoint documentation, Appendix C: Emission Factors and County-Level Activity Data Used to Calculate 2002 Emissions by Category
SPECIATE
SPECIATE is the EPA's repository of total organic compound (TOC) and particulate matter (PM) speciation profiles of air pollution sources.
SPECIATE 4.0 replaces the prior version of the SPECIATE version 3.2 released November 2002. It includes a total of 4,080 PM and TOC profiles including 2,019 new profiles.
http://www.epa.gov/ttn/chief/software/speciate/index.html Appendix C Example of data is Fuel combustion emission factors and activity data and acres disturbed for construction activities.
Appendix C Example of data is Fuel combustion emission factors and activity data and acres disturbed for construction activities.
11. 11 Tools (continued) Mobile source models
MOBILE6.2 (http://www.epa.gov/otaq/mobile.htm)
Contact - mobile@epa.gov
NONROAD2005 (http://www.epa.gov/otaq/nonrdmdl.htm)
Contact - nonroad@epa.gov
PM augmentation
Creating PM10 data from PM data
Creating PM2.5 data from PM10 data.
Adding condensables
http://www.epa.gov/ttn/chief/net/2002inventory.html
12. 12 Tools (continued) Emission Modeling Clearinghouse
http://www.epa.gov/ttn/chief/emch/invent/index.html
EI conference proceedings
http://www.epa.gov/ttn/chief/conferences.html
EIA/DOE state level data on fuel consumption (distillate oil, kerosene, etc) by sector (industrial, commercial, etc)
http://www.eia.doe.gov/emeu/states/_seds.html From modeling clearinghouse -
Background
National Emission Inventory Modeling Information
National Emission Inventory Modeling InformationA number of datasets are available from the 2002 National Emission Inventory web page which are relevant to emissions modeling. These include the process by which the stack parameters are augmented for the point sources in the National Emissions Inventory
SMOKE Formatted Emission Inventories
Fugitive Dust
Grid models consistently overestimate fugitive dust impacts as compared to ambient samples. The following is documentation and example calculations of the transport fraction, a newly developed methodology to reduce fugitive dust emissions for use in grid modeling analyses. It is considered a logical step to improve our ability to account for the removal of particles near their emission source by vegetation and surface features and can be useful in grid-based modeling analyses. It is suggested as a replacement for the"divide-by-four" approach currently used to adjust fugitive dust emissions for grid modeling. From modeling clearinghouse -
Background
National Emission Inventory Modeling Information
National Emission Inventory Modeling InformationA number of datasets are available from the 2002 National Emission Inventory web page which are relevant to emissions modeling. These include the process by which the stack parameters are augmented for the point sources in the National Emissions Inventory
SMOKE Formatted Emission Inventories
Fugitive Dust
Grid models consistently overestimate fugitive dust impacts as compared to ambient samples. The following is documentation and example calculations of the transport fraction, a newly developed methodology to reduce fugitive dust emissions for use in grid modeling analyses. It is considered a logical step to improve our ability to account for the removal of particles near their emission source by vegetation and surface features and can be useful in grid-based modeling analyses. It is suggested as a replacement for the"divide-by-four" approach currently used to adjust fugitive dust emissions for grid modeling.