Use of sensitivity analysis to compare chemical mechanisms for air-quality modeling
Article Abstract:
The process of deciding upon emission limits in urban areas requires choosing between several chemical mechanisms currently in use for the mathematical modeling of air quality. The LCC and CB4 mechanisms were tested against smog chamber experiments. A formal sensitivity analysis method called the direct decoupled method (DDM) proved to be an improvement over kinetic simulations for identifying key discrepancies between the mechanisms in predicted concentrations of peroxides and formaldehyde, though predictions of ozone concentration largely agreed. A revised CB4 mechanism was recommended for modeling.
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1992
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Photochemical modeling of the Southern California Air Quality Study
Article Abstract:
The application of an updated CIT photochemical airshed model to a Southern California Air Quality Study intensive monitoring period is discussed. Ozone concentrations were predicted using measured meteorological parameters, measured initial and boundary conditions and the government-prepared official emission imventory. Results indicate that in recent years, the estimation of organic gas emissions in Los Angeles have been understated.
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1993
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Quantification of individual VOC reactivity using a chemically detailed, three-dimensional photochemical model
Article Abstract:
A three-dimensional Eulerian photochemical airshed model with a detailed chemical mechanism was used to examine the variation in ozone potential of selected volatile organic compounds. The results were correlated with those of previous studies which used the zero-dimensional air quality model and were used to develop a reactivity scale for alternative fuel regulations.
Publication Name: Environmental Science & Technology
Subject: Science and technology
ISSN: 0013-936X
Year: 1995
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