Main Title |
Advances in Emissions Modeling of Airborne Substances. |
Author |
Pierce, T. ;
Benjey, W. ;
Ching, J. ;
Gillette, D. ;
Gilliland, A. ;
|
CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. |
Publisher |
24 Mar 2003 |
Year Published |
2003 |
Report Number |
EPA/600/A-03/200; |
Stock Number |
PB2004-100991 |
Additional Subjects |
Air pollution monitoring ;
Air quality ;
Emission factors ;
Ammonia ;
Biogenics ;
Dust ;
Sea salt ;
Wildfires ;
Hazardous air pollutants ;
Airborne substances ;
Emission inventories ;
SMOKE ;
Prescribed burn emissions ;
Community Smoke Emissions Model(CSEM)
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2004-100991 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
14p |
Abstract |
The U.S. Environmental Protection Agency's Atmospheric Modeling Division is engaged in a number of research projects that are leading to advances in emissions modeling of airborne substances. Two of these projects, air quality forecast modeling and global climate change modeling, are presented in other papers at this conference. This paper briefly highlights the advances in the following areas: (1) Ammonia emissions - development and application of an inversion technique for refining seasonal and annual estimates of ammonia; (2) Biogenic emissions - development and integration of the third generation of the Biogenic Emissions Inventory System (BEIS3); (3) Fugitive dust emissions - development and testing of geographical databases and a dynamic algorithm for making episodic estimates of wind blown fugitive dust; (4) Sea salt emissions - development of an algorithm for estimating emissions originating from oceans; (5) SMOKE - support and refinements to the Sparse Matrix Operational Kernel Emissions (SMOKE) modeling system; and (6) Wildlife and prescribed burn emissions - collaboration with the National Park Service on development of the Community Smoke Emissions Model (CSEM). |