Area Designations for the 2012 Annual Fine Particle (PM2.5) Standard
Designations Guidance and Data
You will need Adobe Reader to view some of the files on this page. See EPA's PDF page to learn more.
EPA plans to designate geographic areas as attaining or not attaining the 2012 annual PM2.5 standards by December 12, 2014. States must submit their recommendations for area designations to EPA by December 13, 2013. Tribes choosing to submit recommendations to EPA are also asked to do so by December 13, 2013.
The information on this page is intended to support the area designation process for the annual PM2.5 NAAQS by providing States and Tribes with current data and tools that may be useful in evaluating each area on a case-by-case basis and in making boundary recommendations. The data and tools that could be of use for these evaluations are not limited to the data and tools provided here.
On this page:
- EPA Guidance on the Area Designations for the 2012 Annual PM2.5 NAAQS
- Five-Factor Analysis
- PM2.5 Designations Mapping Tool
Datasets Provided by EPA to support the five-factor analysis:
| Dataset | Availability Date |
|---|---|
Current annual PM2.5 design values (excel spreadsheet) (326k) |
July 3, 2014 |
May 22, 2014 |
|
IMPROVE speciation data (SANDWICHED) (excel spreadsheet) (194k) |
May 22, 2014 |
Urban Increments (see design value spreadsheet above) |
July 3, 2014 |
July 11, 2014 |
|
July 3, 2014 |
|
Gridded emissions* |
May 2013 |
Wind speed/direction data (zip file) (36.9 MB) |
July 3, 2014 |
Wind roses* |
May 2013 |
Sept 18, 2013 |
|
June 13, 2014 |
|
March 27, 2014 |
* Provided as part of web-based mapping tool.
A. EPA Guidance on the Area Designations for the 2012 Annual PM2.5 NAAQS
States and Tribes should refer to the April 2013 guidance for area designations for the 2012 Annual PM2.5 NAAQS when preparing their recommendations on area designations.
B. Data for Five-Factor Analysis
The five factors identified in the April 2013 Guidance for Area Designations for the 2012 Annual PM2.5 NAAQS are listed below, along with data and data sources that may be useful in evaluating each area on a case-by-case and in making boundary recommendations. The following is not an exclusive list of factors, data, or sources of data that could be considered in assessing an area. EPA is providing this list as a useful tool for the designations process, and it should not be construed as representing a decision by EPA to rely solely on this list for final designation determinations. EPA intends, at a minimum, to evaluate these factors, data and/or data sources in making final determinations regarding area designations for the 2012 Annual PM2.5 NAAQS.
- Factor 1: Air Quality Data - The air quality analysis is an examination of available ambient PM2.5 air quality monitoring data, including the annual design value calculated for each area based on air quality data for a 3-year period.
- Summary of PM2.5 Design Values and Urban Increments (excel spreadsheet) (326k) (Note: This file contains design values for 2009-2011, 2010-2012
- PM2.5 Compositional Analysis
- CSN speciation data (SANDWICHED) (excel spreadsheet) (163k)
- IMPROVE speciation data (SANDWICHED) (excel spreadsheet) (194k)
- Clarification/supporting documentation on SANDWICH techniques
- See Derivation of the Contributing Emissions Score (PDF) (1200 pp, 7.4 MB)
- Presentation at PM2.5 Implementation and Designations Workshop, held June 20-21, 2007 in Chicago, IL The Chemical Composition of PM2.5 to support PM Implementation (PDF) (43 pp, 3.7 MB)
- SANDWICH: A Material Balance Approach for PM2.5 Analysis and Quality Control (45 pp, 5.0 MB)
For additional information about PM2.5 air quality data, visit EPA's Air Trends site.
- Factor 2: Emissions and Emissions-Related Data - The emissions analysis examines emissions of identified sources of direct PM2.5, the major components of direct PM2.5 (organic mass, elemental carbon, crustal material (and/or individual trace metal compounds)), primary nitrate and primary sulfate, and precursor gaseous pollutants (e.g., SO2, NOX, total VOC, and NH3). Emissions data are derived from the 2011 NEI version 1, and are given in tons per year. Emissions data indicate the potential for a source to contribute to observed violations, making it useful in assessing boundaries of nonattainment areas. More information about the NEI.
- NEI emissions summaries (excel spreadsheet) (5.5 MB)
- Quarterly emissions summaries (excel spreadsheet) (5.7 MB)
- Gridded emissions (provided as part of web-based mapping tool)
- Vehicle miles traveled (excel spreadsheet) (634k)
- Population (excel spreadsheet) (356k)
- Factor 3: Meteorology - The evaluation of meteorological data helps to determine the effect on the fate and transport of emissions contributing to PM2.5 concentrations and to identify areas potentially contributing to the monitored violations. One basic meteorological analysis involves assessing potential source-receptor relationships in the area using summaries of emissions, wind speed, and wind direction data. A more sophisticated assessment involves modeling air parcel trajectories.
- Wind speed/direction data (zip file) (36.9 MB)
- Wind roses (provided as part of web-based mapping tool)
- HYSPLIT trajectory endpoint data
- Factor 4: Geography/Topography - The geography/topography analysis includes an examination of physical features of the land that might define the airshed and, therefore, affect the formation and distribution of PM2.5 over an area. Mountains or other physical features may influence the fate and transport of emissions and PM2.5 concentrations. Additional analyses may consider topographical features that cause local stagnation episodes via inversions. Valley-type features can cause local cold-air drainage patterns and vertical temperature inversions that effectively “trap” air pollution. Under these conditions emissions can accumulate leading to periods of elevated PM2.5 concentrations. These air drainage patterns and inversions may be limited in extent and therefore may need to be separated from regions with more conventional air flow and PM2.5 concentration patterns.
- Factor 5: Jurisdictional Boundaries - The analysis of jurisdictional boundaries identifies the planning and organizational structure of an area to provide insights into how air quality planning and enforcement in a potential nonattainment area can be carried out. Examples of jurisdictional boundaries include counties, air districts, areas of Indian country, metropolitan planning organizations (MPOs), and existing nonattainment areas.
C. PM2.5 Designations Mapping Tool
- PM Designations Mapping Tool and Data Documentation (PDF) (15pp, 996k)
- Data and Mapping Tool Documentation V2 (xlsx) (30k)
- PM2.5 Designations Mapping Tool Questions and Answers (PDF) (7pp, 118k)
- August 21, 2013 PM2.5 Designations Webinar
Note: The EPA has removed the link to the PM2.5 Designations Mapping Tool because we developed the tool specifically for the initial area designations for the 2012 annual PM2.5 NAAQS, which we promulgated in December 2014 and March 2015, and the tool no longer represents current conditions. Much of the data used to populate the mapping tool is still available through the above links. All data used to support the initial area designation decisions are included in the docket for this action (EPA-HQ-OAR-2012-0918).