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 |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB96-116850 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
4p |
Abstract |
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. |