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Monitoring Data
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Final report describing data, results, and methods used to support the Association for Southeastern Integrated Planning and demonstration of attainment of the annual PM 2.5 standard. [PDF Format] |
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PM2.5 Data Summaries
PM2.5 data summaries were prepared using reconstructed mass, without adjustment using the SANDWHICH tool. No blank correction of total mass was made. Sites in Ohio and the District of Columbia are included to support nonattainment areas within the VISTAS region.
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Bar charts depicting PM2.5 mass by site, showing quarterly and annual averages. [Excel Format] |
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Bar charts depicting species contribution to PM2.5 mass by site, showing daily, quarterly and annual averages. [Excel Format] |
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Excel file containing AQS Site ID information for sites used in ASIP analysis, and AQS State and County codes for entire United States. [Excel Format] |
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Back Trajectory Analysis
Meteorological back trajectory analyses use interpolated measured or modeled meteorological fields to estimate the most likely central path over geographical areas that provide air to a receptor. Back trajectories account for the impact of wind direction and wind speed on delivery of emissions to the receptor, but do not account for chemical transformation, dispersion and deposition of emissions. VISTAS used back trajectories to investigate typical wind pattern throughout the baseline period and to assist with area of influence analyses.
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Residence time maps were constructed using 2000-2004 back trajectories corresponding to PM2.5 sampled days. Each hourly point for back trajectories with end dates corresponding to a sampled day was counted and summed into 1/4 degree horizontal grid cells of latitude and longitude. [PDF Format] |
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Emission Inventories
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ASIP Emission Inventories for 2012 in native formats, as provided to States. The 2012 inventories were based on the 2009 VISTAS Best and Final inventory which was extensively reviewed, updated and approved by VISTAS.
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Documentation of the 2012 projection emission inventory used in ozone and fine particle State Implementation Plan submittals. [PDF Format] |
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Documentation of Base G2 and Best & Final Emission Inventories used in State Implementation Plan submittals. [PDF Format] |
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Quality Assurance Project Plan for ASIP modeling efforts. [PDF Format] |
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Projected 2012 data summaries and emission inventory data in NIF format for ASIP states, annual average, organized at county and SCC tier level for the following sectors:
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Base G2
Inventory data summary in NIF format, annual average, organized at county and SCC tier level for 2002 actual, 2002 typical, and 2009 projected for the following sectors.
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Base G4 - Best and Final (BaF)
Best and final inventories for 2009 projected were updated to reflect BART controls, consent decrees, corrections to Base G2 and source specific controls. Only EGU and non-EGU point source records were changed. Area, on-road mobile and non-road mobile inventories did not change from Base G2 scenarios.
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Modeling
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Comparison of particulate carbon monitoring analysis and source apportionment using the Chemical Mass Balance (CMB) receptor model with particulate carbon source apportionment modeling using emissions based deterministic photochemical grid model to reconcile monitored and modeled carbon to identify areas of needed improvement. [PDF format] |
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Final version of the Technical Support Document (TSD) for ASIP modeling used in fine particle and 8-hour ozone SIPs, addressing modeling results assuming the Clean Air Interstate Rule (CAIR) was implemented. Final report without appendices. [PDF format] |
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Appendix A-D from the Technical Support Document [PDF format] |
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Air Quality Modeling Protocol for the ASIP to address regional component of emissions and air quality modeling of 8-hour ozone and PM2.5 nonattainment. [PDF format] |
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This Quality Assurance Project Plan (QAPP) describes the quality management functions and activities performed by the Association for Southeastern Integrated Planning (ASIP) to address emissions and air quality modeling associated with attaining the 8-hour ozone and PM2.5 standards in states in the southeastern United States. [PDF format] |
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The following air quality modeling data products were prepared by ENVIRON International Corporation in support of ASIP modeling efforts. For more description of products, see ENVIRON's ASIP Technical Support Document.
Ozone Analysis
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2009, 2012 and 2018 ozone model results by state and county for Base G2 and Base G4 Best and Final scenarios, including comparisons between 12 km and 36 km grid cell analysis. The ASIP modeling results were recalculated using the MATS tool once it was made available by EPA in 2008, which is after the states submitted state implementation plans for the 1997 8-hour ozone standard. [Excel Format] |
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2009 and 2018 ozone model results by state and county for Base G2 and Base G4 Best and Final scenarios, including comparisons between results for 12 km and 36 km grid cell analysis. The Excel method was developed by staff at North Carolina Department of Environment and Natural Resources based on initial data provided by EPA staff prior to release of the EPA MATS tool for calculating base year 2000-2004 design values and projecting future design values. The Excel Method was used in the state implementation plans for the 1997 8-hour ozone standard. [Excel Format] |
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Aerosol speciation and design values calculated using the MATS 12 km and 36 km grid cells and compared to the Excel Method for 12 km and 36 grid cells (2018g4a). [Excel Format] |
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2002 design value, 2009, 2012 and 2018 PM2.5 model results for Base G4 Best and Final, speciated by site, by state, 12 km and 36 km grid cells. [Excel Format] |
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Stacked bar charts showing 2002 design value, 2009, 2012 and 2018 model results, speciated by site, by state, 12 km and 36 km grid cells. [Excel Format] |
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Summary of secondary organic aerosol charts by quarter, by state, by site, 2002gt2 versus 2018g4a, 12 km and 36 km grid cells. ENVIRON used CMAQ to project contributions to total organic carbon from primary organic carbon, secondary organic carbon due to polymerization, secondary organic carbon due to biogenic emissions and secondary organic carbon due to anthropogenic emissions. [Excel Format] |
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To understand the relative benefit at Speciated Trends Network (now called Chemical Speciation Network) monitoring sites, of further reducing emissions from different pollutants, source sectors, and geographic areas beyond controls expected by 2009, emissions sensitivity runs were completed using CMAQ for two month long episodes in 2002 (Jun 1-Jul 10, summer, and Nov 19 - Dec 19, winter). VISTAS Base D 2009 inventories were reduced by 30 percent for each pollutant, source sector in each state and in the areas of the neighboring regional planning organizations that were in the VISTAS 12-km modeling domain. Results are reported for the average response for the summer episode, the winter episode, and the average response using weighting for individual days in the episodes to reflect their contribution to the annual average response. The weightings were derived from the results of the SAI-ICF study for VISTAS that characterized the influence of meteorology on PM2.5 and visibility in the Southeast. [Excel Format] |
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Unmonitored area analysis used the current-year annual PM2.5 Design Values (DVC), which were interpolated to each grid cell in the modeling domain. For more information on the unmonitored analysis process, refer to Chapter 4 of the ENVIRON Technical Support Document. |
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Excel file containing AQS Site ID information for sites used in ASIP analysis, and AQS State and County codes for entire United States. [Excel Format] |
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