A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Use of a MM5–CAMx–PSAT Modeling System to Study $ SO_{2} $ Source Apportionment in the Beijing Metropolitan Region
Abstract A coupled MM5–CAMx air quality modeling system was used to simulate $ SO_{2} $ concentrations in Beijing, China during the heating season. Particulate matter source apportionment technology was employed to investigate the apportionment of $ SO_{2} $ sources in the study area. Comprehensive analysis of the industry and region revealed that the most important $ SO_{2} $ contributors were publicly and privately supplied heating emission sources and other industry emission sources from the urban areas of Beijing, with 66.1 % of the emission source contribution ratio. Four $ SO_{2} $ emission reduction scenarios based on our $ SO_{2} $ source apportionment research were established to assess the potential for improving the $ SO_{2} $ air quality in Beijing during the heating season. By weighing the desired $ SO_{2} $ improvement, the availability of technology, and economic considerations, a suitable $ SO_{2} $ reduction plan was able to be recommended for Beijing city.
Use of a MM5–CAMx–PSAT Modeling System to Study $ SO_{2} $ Source Apportionment in the Beijing Metropolitan Region
Abstract A coupled MM5–CAMx air quality modeling system was used to simulate $ SO_{2} $ concentrations in Beijing, China during the heating season. Particulate matter source apportionment technology was employed to investigate the apportionment of $ SO_{2} $ sources in the study area. Comprehensive analysis of the industry and region revealed that the most important $ SO_{2} $ contributors were publicly and privately supplied heating emission sources and other industry emission sources from the urban areas of Beijing, with 66.1 % of the emission source contribution ratio. Four $ SO_{2} $ emission reduction scenarios based on our $ SO_{2} $ source apportionment research were established to assess the potential for improving the $ SO_{2} $ air quality in Beijing during the heating season. By weighing the desired $ SO_{2} $ improvement, the availability of technology, and economic considerations, a suitable $ SO_{2} $ reduction plan was able to be recommended for Beijing city.
Use of a MM5–CAMx–PSAT Modeling System to Study $ SO_{2} $ Source Apportionment in the Beijing Metropolitan Region
Huang, Qing (author) / Cheng, Shuiyuan (author) / Perozzi, Rhoda E. (author) / Perozzi, Edmund F. (author)
2012
Article (Journal)
Electronic Resource
English
BKL:
43.00
Umweltforschung, Umweltschutz: Allgemeines
/
43.00$jUmweltforschung$jUmweltschutz: Allgemeines
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