Characteristics and source analysis of VOCs in a fine chemical industrial park

被引:0
|
作者
Feng D.-D. [1 ]
Wu C.-Z. [2 ]
Chen B.-X. [2 ]
Wang Q.-L. [3 ]
Zhang S.-H. [1 ]
Chen J.-M. [1 ]
Li W. [3 ]
机构
[1] College of Environment, Zhejiang University of Technology, Hangzhou
[2] Trinity Consultants, Inc. (China Office), Hangzhou
[3] College of Chemical and Biological Engineering, Institute of Industrial Ecology and Environment, Zhejiang University, Hangzhou
关键词
Conditional bivariate probability function (CBPF); Fine chemical industrial park; Positive matrix factorization (PMF) model; Source apportionment; Volatile organic compounds (VOCs);
D O I
10.3969/j.issn.1003-9015.2021.05.022
中图分类号
学科分类号
摘要
In order to precisely trace pollution sources in fine chemical parks, overall pollution level and component characteristics were analyzed based on VOCs online monitoring data and meteorological monitoring data of a fine chemical park from March to December 2018. Positive matrix factorization (PMF) model was used for source appointment analysis, and the main emission sources were accurately traced with the conditional bivariate probability function (CBPF). The results show that the average volume fraction of VOCs in the park is (381.92±183.62)×10-9. The dominant component is halogenated hydrocarbon, and the dominant species are dichloromethane, toluene, and 1,2-dichloromethane etc., which reflects high VOCs pollution characteristics of the fine chemical industrial park. PMF analysis shows that the fine chemical emission sources accounts for 59.18% of the total VOCs, and the road mobile sources account for 27.48%. These two emission sources need to be focused on when planning control measures. CBPF analysis shows that many heavy polluting sources are in the southeast and northeast of the park, and sensitive areas around the park are easily affected by high-concentration VOCs emissions. © 2021, Editorial Board of "Journal of Chemical Engineering of Chinese Universities". All right reserved.
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页码:935 / 942
页数:7
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