4.7 Article

Application of an emission profile-based method to trace the sources of volatile organic compounds in a chemical industrial park

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 768, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.144694

关键词

Emission profiles; VOCs; Chemical processes; Source tracing

资金

  1. Science and Technology Commission of Shanghai Municipality [19DZ1205007, 18DZ206700]
  2. Shanghai Chemical Industry Park Administration Commission [181100013963001]

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The study used an emission profile-based source tracing method combined with wind speed and direction data to successfully trace six air pollution episodes, demonstrating the efficiency of the approach.
The accurate source tracing of volatile organic compounds (VOCs) in complicated source environments is challenging to perform, as similar pollutants may be emitted from different chemical processes. An emission profile-based source tracing method, based on comparing similarities between source profiles and ambient air profiles, was evaluated, and was found to improve the tracing efficiency. Emission profiles were acquired from a typical chemical industrial park in the Yangtze River Delta, China. A total of 30 process-based emission profiles comprising 107 VOC species were investigated and similarities among them were calculated. This analysis demonstrated that the similarities between emissions from various chemical processes are universal. Source tracing was then conducted for six air pollution episodes, based on the emission profile-based source tracing method combined with wind speed and direction data. The results showed that the proposed approach represents an efficient method for source tracing. This study enriches the database of source profiles for petroleum-related industries. The emission profiles from references and the air pollution episodes augment the emission profile database, especially under abnormal emission conditions. The database will more effectively serve future source-tracing cases, creating a virtuous circle that improves source tracing efficiency. (C) 2020 Published by Elsevier B.V.

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