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DESIGN REQUIREMENTS FOR MULTISCALE AIR QUALITY MODELS
Citation:
Ching, J.K.S., D.W. Byun, A. Hanna, T. Odman, R. Mathus, C. Jang, J. McHenry, AND K. Galluppi. DESIGN REQUIREMENTS FOR MULTISCALE AIR QUALITY MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-95/052 (NTIS PB95217824), 1995.
Description:
Society (as mandated by the clean Air Act) requires that we protect our environment and minimize human exposure to harmful air pollutants with National Ambient Air Quality Standards (NAAQS). e al:o seek to minimize the economic costs of the necessary pollution control to meet the NAAQS targets. ir quality simulation models, and associated monitoring of air pollution provide information about current pollution levels. uture air pollution levels will require highly complex models that can determine pollution concentration levels for different, hypothetical control measures. everal key pollutants ouch as ozone, and secondary particulates to be controlled are not directly emitted but arise from a combination of complex chemical, transport, and deposition processes. hese processes operate on a large dynamic range of time and space scales, and are further controlled by different land surfaces, geographic regions, and seasons. hotochemistry is complicated by reactions that take place in the gas phase, in the aqueous state as in clouds, rain or fog, and in mixed air-water-ice mixtures. odels capable of providing credible simulation of current and future pollution levels for different control measures ill be extremely complex and will require high performance computational systems. uch models will require the handling of myriad of types and quality of information including input data such as emission inventories, boundary conditions, meteorological information, as well as solving numerous systems of equations that describe current understanding of the relevant and contributing processes.
