Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Use of Automatic Differentiation for Sensitivity Analysis in Emission Control Process.
Author Hwang, D. ; Byun, D. W. ;
CORP Author MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab.
Publisher 1995
Year Published 1995
Report Number EPA/600/A-95/127;
Stock Number PB96-116850
Additional Subjects Atmospheric models ; Air pollution control ; Ozone ; Sensitivity ; Mathematical models ; Computerized simulation ; Troposphere ; Concentration(Composition) ; Automatic control ; Fortran ; Differential equations ; Air quality ; Nitrogen oxides ; Organic compounds ; Photochemical reactions ; ADIFOR(Automatic Differentiation in Fortran) ; Three-dimensional model ; Emission control
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB96-116850 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 02/29/1996
Collation 4p
Knowledge of the complex interactions characterizing the photochemistry of tropospheric ozone production has significantly increased in the past but there exists no clear scientific consensus on the best strategy for reducing ozone. The role of volatile organic compounds and oxides of nitrogen in the production of tropospheric ozone has long been recognized. Elevated tropospheric ozone levels have proven to be much more difficult to control than other pollutants that have shared the focus of recent control efforts. Because of the nonlinearities in the relationships between ozone and its precursor species, it is not at all simple to prescribe the requisite precursor emission reductions necessary to reduce ozone concentrations to a given level. Sensitivity analysis of emitted species will provide important insights for emissions control strategies for reducing ozone. We will present a preliminary result of sensitivity analysis in the emission control process by using an automatic differentiation technique.