Literature DB >> 26179779

Process-specific emission characteristics of volatile organic compounds (VOCs) from petrochemical facilities in the Yangtze River Delta, China.

Ziwei Mo1, Min Shao2, Sihua Lu1, Hang Qu3, Mengyi Zhou3, Jin Sun3, Bin Gou3.   

Abstract

Process-specific emission characteristics of volatile organic compounds (VOCs) from petrochemical facilities were investigated in the Yangtze River Delta, China. Source samples were collected from various process units in the petrochemical, basic chemical, and chlorinated chemical plants, and were measured using gas chromatography-mass spectrometry/flame ionization detection. The results showed that propane (19.9%), propene (11.7%), ethane (9.5%) and i-butane (9.2%) were the most abundant species in the petrochemical plant, with propene at much higher levels than in petrochemical profiles measured in other regions. Styrene (15.3%), toluene (10.3%) and 1,3-butadiene (7.5%) were the major species in the basic chemical industry, while halocarbons, especially dichloromethane (15.2%) and chloromethane (7.5%), were substantial in the chlorinated chemical plant. Composite profiles were calculated using a weight-average approach based on the VOC emission strength of various process units. Emission profiles for an entire petrochemical-related industry were found to be process-oriented and should be established considering the differences in VOC emissions from various manufacturing facilities. The VOC source reactivity and carcinogenic risk potential of each process unit were also calculated in this study, suggesting that process operations mainly producing alkenes should be targeted for possible controls with respect to reducing the ozone formation potential, while process units emitting 1,3-butadiene should be under priority control in terms of toxicity. This provides a basis for further measurements of process-specific VOC emissions from the entire petrochemical industry. Meanwhile, more representative samples should be collected to reduce the large uncertainties.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Emission characteristic; Petrochemical industry; Source profile; VOCs; Yangtze River Delta

Mesh:

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Year:  2015        PMID: 26179779     DOI: 10.1016/j.scitotenv.2015.06.089

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


  8 in total

1.  Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation.

Authors:  Deming Han; Zhen Wang; Jinping Cheng; Qian Wang; Xiaojia Chen; Heling Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-24       Impact factor: 4.223

2.  Speciated VOCs emission estimate for a typical petrochemical manufacturing plant in China using inverse-dispersion calculation method.

Authors:  Wei Wei; Yating Wang; Gan Yang; Li Yue; Shuiyuan Cheng
Journal:  Environ Monit Assess       Date:  2018-07-07       Impact factor: 2.513

3.  Research on the effect of wall corrosion and rim seal on the withdrawal loss for a floating roof tank.

Authors:  Yongqiang Wang; Minmin Liu; Fang Liu; Chaocheng Zhao; Dongfeng Zhao; Fenglei Han; Chunshuang Liu
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-25       Impact factor: 4.223

Review 4.  The Human Exposure Potential from Propylene Releases to the Environment.

Authors:  David A Morgott
Journal:  Int J Environ Res Public Health       Date:  2018-01-04       Impact factor: 3.390

5.  Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China.

Authors:  Ziwei Mo; Min Shao; Ying Liu; Yang Xiang; Ming Wang; Sihua Lu; Jiamin Ou; Junyu Zheng; Meng Li; Qiang Zhang; Xuemei Wang; Liuju Zhong
Journal:  Sci Rep       Date:  2018-02-14       Impact factor: 4.379

6.  Impact of COVID-19 lockdown on ambient levels and sources of volatile organic compounds (VOCs) in Nanjing, China.

Authors:  Ming Wang; Sihua Lu; Min Shao; Limin Zeng; Jun Zheng; Fangjian Xie; Haotian Lin; Kun Hu; Xingdong Lu
Journal:  Sci Total Environ       Date:  2020-11-20       Impact factor: 7.963

Review 7.  1,3-Butadiene: a ubiquitous environmental mutagen and its associations with diseases.

Authors:  Wan-Qi Chen; Xin-Yu Zhang
Journal:  Genes Environ       Date:  2022-01-10

8.  Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

Authors:  Chin-Yu Hsu; Yu-Ting Zeng; Yu-Cheng Chen; Mu-Jean Chen; Shih-Chun Candice Lung; Chih-Da Wu
Journal:  Int J Environ Res Public Health       Date:  2020-09-23       Impact factor: 3.390

  8 in total

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