Air Quality Predictions of the Urban Airshed Model Containing Improved Advection and Chemistry Algorithms

Autor: Sandra L. Winkler, David P. Chock
Rok vydání: 1996
Předmět:
Zdroj: Environmental Science & Technology. 30:1163-1175
ISSN: 1520-5851
0013-936X
DOI: 10.1021/es950403c
Popis: We have carried out an extensive study on the effect of replacing the advection and chemistry algorithms of the Urban Airshed Model (UAM) with more accurate algorithms, using the SCAQS episode of August 26−28, 1987, and input data supplied by the California Air Resources Board. Replacing the UAM chemistry solver by the implicit−explicit hybrid solver (IEH) tends to lower the afternoon ozone concentrations somewhat, the afternoon PAN concentrations more noticeably, and the H2O2 concentrations significantly. IEH is also much less likely to have a convergence failure than the UAM solver. Replacing the Smolarkiewicz scheme by the forward Euler Taylor Galerkin scheme (FETG) yields a greater impact. The replacement increases the local peak NO concentrations and lowers the local peak ozone and CO concentrations significantly. Replacing both chemistry and advection algorithms lowers the peak ozone, PAN, and H2O2 concentrations quite noticeably. For example, the predicted peak ozone for August 28 is reduced from 2...
Databáze: OpenAIRE