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
来源：
Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities | 2021年 / 35卷 / 05期
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.
引用
收藏
页码：935 / 942
页数：7
相关论文
共 26 条
  • [1] TIAN J P, LIU W, ZANG N, Et al., Review of eco-industrial park development in China, Acta Ecologica Sinica, 36, 22, pp. 7323-7334, (2016)
  • [2] HUANG R J, ZHANG Y L, BOZZETTI C, Et al., High secondary aerosol contribution to particulate pollution during haze events in China, Nature, 514, 7521, pp. 218-222, (2014)
  • [3] LI L, AN J Y, SHI Y Y, Et al., Source apportionment of surface ozone in the Yangtze River Delta, China in the summer of 2013, Atmospheric Environment, 144, pp. 194-207, (2016)
  • [4] WANG Q L, DONG M L, LI S J, Et al., Characteristics of ozone pollution distribution and source apportionment in Zhoushan, Environmental Science, 40, 3, pp. 1143-1151, (2019)
  • [5] HU K, WANG M, ZHENG J, Et al., Quantification of the influence of industrial emissions on volatile organic compounds(VOCs) using PMF model: A case study of Jiangbei industrial zone in Nanjing, Environmental Science, 39, 2, pp. 493-501, (2018)
  • [6] XUE Y G, HO S S H, HUANG Y Y, Et al., Source apportionment of VOCs and their impacts on surface ozone in an industry city of Baoji, northwestern China, Scientific Reports, 7, 1, (2017)
  • [7] DUMANOGLU Y, KARA M, ALTIOK H, Et al., Spatial and seasonal variation and source apportionment of volatile organic compounds(VOCs) in a heavily industrialized region, Atmospheric Environment, 98, pp. 168-178, (2014)
  • [8] BUZCU-GUVEN B, FRASER M P., Comparison of VOC emissions inventory data with source apportionment results for Houston, TX, Atmospheric Environment, 42, 20, pp. 5032-5043, (2008)
  • [9] BARI M A, KINDZIERSKI W B., Ambient volatile organic compounds(VOCs) in Calgary, Alberta: Sources and screening health risk assessment, Science of the Total Environment, 631, 632, pp. 627-640, (2018)
  • [10] ZHENG H, KONG S, YAN Y, Et al., Compositions, sources and health risks of ambient volatile organic compounds(VOCs) at a petrochemical industrial park along the Yangtze River, Science of the Total Environment, 703, (2019)
123