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Use of a MM5–CAMx–PSAT Modeling System to Study SO2 Source Apportionment in the Beijing Metropolitan Region

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Abstract

A coupled MM5–CAMx air quality modeling system was used to simulate SO2 concentrations in Beijing, China during the heating season. Particulate matter source apportionment technology was employed to investigate the apportionment of SO2 sources in the study area. Comprehensive analysis of the industry and region revealed that the most important SO2 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 SO2 emission reduction scenarios based on our SO2 source apportionment research were established to assess the potential for improving the SO2 air quality in Beijing during the heating season. By weighing the desired SO2 improvement, the availability of technology, and economic considerations, a suitable SO2 reduction plan was able to be recommended for Beijing city.

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Acknowledgments

This paper was supported by the “National Basic Research (973) Program” Project (no. 2005CB724201) and High Technology Project (863) (nos. 2006AA06A305-4, 2006AA06A306-5, and 2006AA06A307-5) of the Ministry of Science and Technology of China. The authors would like to thank the Natural Sciences Foundation of China (no. 50878006) as well as the Fundamental Research Funds for the Central Universities (no. 21611344) for supporting the research work. We would also like to thank C. Emery and G. Wilson from ENVIRON International Corporation for their technical suggestions.

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Authors and Affiliations

  1. Department of Environmental Engineering, Jinan University, Guangzhou, 510632, People’s Republic of China

    Qing Huang

  2. Key Laboratory of Water/Soil Toxic Pollutants Control and Bioremediation of Guangdong Higher Education Institutes, Jinan University, Guangzhou, 510632, People’s Republic of China

    Qing Huang

  3. College of Environmental & Energy Engineering, Beijing University of Technology, Beijing, 100124, People’s Republic of China

    Qing Huang, Shuiyuan Cheng, Rhoda E. Perozzi & Edmund F. Perozzi

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  1. Qing Huang
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  2. Shuiyuan Cheng
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  3. Rhoda E. Perozzi
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  4. Edmund F. Perozzi
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Correspondence to Qing Huang.

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Huang, Q., Cheng, S., Perozzi, R.E. et al. Use of a MM5–CAMx–PSAT Modeling System to Study SO2 Source Apportionment in the Beijing Metropolitan Region. Environ Model Assess 17, 527–538 (2012). https://doi.org/10.1007/s10666-012-9312-8

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  • DOI: https://doi.org/10.1007/s10666-012-9312-8

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