Record Display for the EPA National Library Catalog

RECORD NUMBER: 38 OF 42

OLS Field Name OLS Field Data
Main Title Test of Thermodynamic Equilibrium Models and 3-D Air Quality Models for Predictions of Aerosol NO(sub 3).
Author Yu, S. ; Dennis, S. ; Roselle, S. ; Nenes, A. ; Walker, J. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Air Resources Lab.
Publisher 2004
Year Published 2004
Report Number EPA/600/A-04/079; NERL-RTP-AMD-04-047;
Stock Number PB2004-106737
Additional Subjects Aerosols ; Air pollution monitoring ; Three-dimensional models ; Thermodynamic equilibrium ; Atmospheric circulation ; Air quality ; Particulates ; Nitrates ; Sulfates ; Ammonia ; Predictions ; Chemical analysis ; Temperature effects ; Chemical composition ;
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100R6TR.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2004-106737 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/29/2004
Collation 10p
Abstract
The inorganic species of sulfate, nitrate and ammonium constitute a major fraction of atmospheric aerosols. The behavior of nitrate is one of the most intriguing aspects of inorganic atmospheric aerosols because particulate nitrate concentrations depend not only on the amount of gas-phase nitric acid, but also on the availability of ammonia and sulfate, together with temperature and relative humidity. Particulate nitrate is produced mainly from the equilibrium reaction between two gas-phase species, HNO(sub 3) and NH(sub 3). It is a very challenging task to partition the semi-volatile inorganic aerosol components between the gas and aerosol phases correctly. The normalized mean error (NME) for predictions of nitrate is typically three times that for predictions of sulfate for a variety of 3-D air quality models.