Air Quality Response Modeling for Decision Support
Air quality management relies on photochemical models to predict the responses of pollutant concentrations to changes in emissions. Such modeling is especially important for secondary pollutants such as ozone and fine particulate matter which vary nonlinearly with changes in emissions. Numerous tech...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2011-08-01
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Series: | Atmosphere |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4433/2/3/407/ |