Special Issue "Air Pollution Modeling: Reviews of Science Process Algorithms"
A special issue of Atmosphere (ISSN 2073-4433).
Deadline for manuscript submissions: closed (31 March 2011)
Dr. Daewon Byun
Air Quality Modeling Group, Air Resources Laboratory, National Oceanic & Atmospheric Administration, SSMC3, Rm 3316 (R/ARL), 1315 East West Highway, Silver Spring, MD 20910, USA
Air quality simulation models are important tools for regulatory, policy, and environmental decision making and science studies. Pollutants in the atmosphere are subject to myriad transport processes and transformation pathways that control their composition and concentration levels. The residence times of pollutants in the atmosphere can extend to multiple days to months and the corresponding spatial scales are commensurately large, ranging from local to continental scales. On these temporal and spatial scales, emissions from chemical manufacturing and other industrial activities, power generation, transportation, and waste treatment activities, as well as the natural sources, contribute to a variety of air pollution issues including visibility, ozone, particulate matter (PM), acid rain, and nutrient and toxic deposition.
This special issue is devoted to papers which provide in-depth reviews of physical and chemical process algorithms represented in the modern air quality models. This issue in Atmosphere will serve as the compendium of the state-of-science information on how these different atmospheric processes are treated in air quality models. Studies with critical reviews of pros and cons of process algorithms concerning atmospheric transport, turbulent mixing, atmospheric deposition, cloud processes, homogeneous and heterogeneous transformation of atmospheric gaseous and PM species, as well as anthropogenic and natural emission representations are welcome.
Dr. Daewon Byun
A/Prof. William R. Stockwell
Mehmet Talat Odman
- atmospheric transport
- turbulent mixing
- atmospheric deposition
- cloud processes
- homogeneous and heterogeneous reactions
- particulate matter
- anthropogenic emissions
- natural emissions