Therefore, use of deposition algorithms to account for depletion i 1 n estimating ambient PM2.5

2 concentrations should be done with caution and only when clear documentation and justification

3 of the deposition parameters is provided.

4 The AERMOD modeling system includes the following components:

5 AERMOD: the dispersion model (U.S. EPA, 2004a; U.S. EPA, 2012b);

6 AERMAP: the terrain processor for AERMOD (U.S. EPA, 2004b, U.S. EPA, 2011a);

7 and

8 AERMET: the meteorological data processor for AERMOD (U.S. EPA, 2004c; U.S.

9 EPA, 2012c).

10

11 Other components that may be used, depending on the application, are:

12 BPIPPRIME: the building input processor (U.S. EPA, 2004d);

13 AERSURFACE: the surface characteristics processor for AERMET (U.S. EPA, 2008);

14 AERSCREEN: a screening version of AERMOD (U.S. EPA, 2011b; U.S. EPA, 2011c);

15 and

16 AERMINUTE: a pre-processor to calculate hourly average winds from ASOS 2-minute

17 observations (U.S. EPA, 2011d).

18

19 Before running AERMOD, the user should become familiar with the user’s guides

20 associated with the modeling components listed above and the most recent version of the

21 AERMOD Implementation Guide (U.S. EPA, 2009). In addition to these documents, detailed

22 guidance on the use of the AERMOD modeling system for estimating primary PM2.5 impacts is

23 provided in Appendix B. Because AERMOD is limited to modeling only direct PM2.5 emissions,

 

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