Literature DB >> 33434809

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

Yinzhi Huang1, Guangli Xiu2, Yifeng Lu3, Song Gao4, Liting Li3, Lingxiao Chen1, Qing Huang1, Yue Yang1, Xiang Che5, Xi Chen6, Qingyan Fu5.   

Abstract

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.
Copyright © 2020. Published by Elsevier B.V.

Keywords:  Chemical processes; Emission profiles; Source tracing; VOCs

Year:  2020        PMID: 33434809     DOI: 10.1016/j.scitotenv.2020.144694

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A Novel Method for Source Tracking of Chemical Gas Leakage: Outlier Mutation Optimization Algorithm.

Authors:  Zhiyu Xia; Zhengyi Xu; Dan Li; Jianming Wei
Journal:  Sensors (Basel)       Date:  2021-12-23       Impact factor: 3.576

2.  Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China.

Authors:  Gengyu Gao; Shanshan Wang; Ruoyu Xue; Donghui Liu; He Ren; Ruiqin Zhang
Journal:  Sci Rep       Date:  2021-12-09       Impact factor: 4.379

  2 in total

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