Since both direct PM2.5 emissions and precursor emissions 1 (NOx and/or SO2) exceed the

2 respective SERs for Case 3, this will likely be the most challenging of the four cases. As with

3 Case 2, the ambient PM2.5 impacts associated with direct PM2.5 emissions can be estimated based

4 on application of an appropriate preferred dispersion model for near-field PM2.5 modeling listed

5 in Appendix W, currently AERMOD for most applications, or an approved alternative model.

6 However, AERMOD does not account for secondary formation of PM2.5 associated with the

7 source’s precursor emissions. Since the source also emits quantities of PM2.5 precursors above

8 the respective SERs for Case 3, some assessment of their potential contribution to secondary

9 PM2.5 is necessary. The assessment of the precursor emission impacts on secondary PM2.5

10 formation may be: a) qualitative in nature; b) based on a hybrid of qualitative and quantitative

11 assessments utilizing existing technical work; or c) a full quantitative photochemical grid

12 modeling exercise. The EPA anticipates only a few situations would require explicit

13 photochemical grid modeling.

 

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