Download Air Pollution Modeling and Its Application XIII by S. Trivikrama Rao, Christian Hogrefe, Gopal Sistla, PDF

By S. Trivikrama Rao, Christian Hogrefe, Gopal Sistla, Shiang-Yuh Wu, Winston Hao (auth.), Sven-Erik Gryning, Ekaterina Batchvarova (eds.)

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REFERENCES The final documentation ofthis R&D project No. 10402812/01 ofthe German Federal Environmental Agency takes into account that each section of the study program is to be considered as a study of its own, and to be documented as such. , 1996, Inputdatenbasis 1994 der Modellregion Berlin-Brandenburg - kleinräumige Emissionen nach Emittentengruppen, Emissionsminderungs-Szenarien, Landnutzung und Orographie, Ergebnisbericht zum Teilvorhaben B-1-1, Prognos AG, Basel 35 Meeuwsen H. J. A. et al,.

For example, along the direction of the prevailing wind, the spatial information extracted from the synoptic-scale forcing in the observations decays more slowly than that derived from the model, suggesting that the model tends to underestimate pollutant transport. How one would use the modeling results in a regulatory setting is a topic of considerable debate. The results presented here provide insight into the model's behavior on different time scales and how tbis information should be taken into consideration in designing ozone control strategies.

R. YAMARTINO: The ozane power spectrum shows some structure. Have you looked at co-spectra, quad-spectra, or coherence measures to probe into dominant causal factors? S. T. RAO: No, not yet. ZLATEV: The spatial domain you showed us in your first slide was the Eastern part of USA. After that you showed results for Los Angeles. Have you extended the spatial domain to cover the whole USA? S. T. RAO: No, the modeling domain covers only the Eastern Uni ted States. I showed ambient data from Los Angeles, California and Cliffside Park, New Jersey for two different time periods during which time there were changes in anthropogenic emissions due to controls implemented in the real-world as a way to illustrate how the energies in the intra-day, diurnal, synoptic and baseline components have changed and to examine the reliability ofthe model predicted changes on each time due to an emission reduction scenario.

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