VOC characteristics and their source apportionment in a coastal industrial area in the Yangtze River Delta, China

被引:21
|
作者
Yang, Mengrong [1 ,2 ,3 ,4 ]
Li, Fengxia [5 ,6 ]
Huang, Cenyan [7 ]
Tong, Lei [1 ,2 ,3 ]
Dai, Xiaorong [1 ,2 ,3 ]
Xiao, Hang [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China
[2] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China
[3] Ningbo Beilun Zhongke Haixi Ind Technol Innovat C, Zhejiang Key Lab Urban Environm Proc & Pollut Con, Ningbo 315800, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Univ Med Ctr Gottingen, Dept Neuro & Sensory Physiol, Humboldtallee 23, D-37073 Gottingen, Germany
[6] Univ Med Ctr Gottingen, Ctr Biostruct Imaging Neurodegenerat, von Siebold Str 3a, D-37075 Gottingen, Germany
[7] Zhejiang Wanli Univ, Coll Biol & Environm Sci, Ningbo 315100, Peoples R China
来源
关键词
Volatile organic compounds; Proton transfer reaction - mass spectrometry; PMF source apportionment; Seasonal characteristics; VOLATILE ORGANIC-COMPOUNDS; PTR-MS MEASUREMENTS; EMISSIONS; AEROSOL; ACIDS; PHOTOOXIDATION;
D O I
10.1016/j.jes.2022.05.041
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Volatile organic compounds (VOCs) are important precursors of secondary organic compounds and ozone, which raise major environmental concerns. To investigate the VOC emission characteristics, measurements of VOCs based on proton transfer reaction-mass spectrometry during 2017 were conducted in a coastal industrial area in Ningbo, Zhejiang Province, China. Based on seasonal variation in species concentration, the positive matrix factorization (PMF) receptor model was applied to apportion the sources of VOCs in each season. The PMF results revealed that unknown acetonitrile source, paint solvent, electronics industry, biomass burning, secondary formation and biogenic emission were mainly attributed to VOC pollution. Biomass burning and secondary formation were the major sources of VOCs and contributed more than 70% of VOC emissions in spring and autumn. Industry-related sources contributed 8.65%-31.2% of the VOCs throughout the year. The unknown acetonitrile source occurred in winter and spring, and contributed 7.6%-43.73% of the VOC emissions in the two seasons. Conditional probability function (CPF) analysis illustrated that the industry sources came from local emission, while biomass burning and biogenic emission mainly came from the northwest direction. The potential source contribution function (PSCF) model showed that secondary formation-related source was mainly from Jiangsu Province, northeastern China and the surrounding ocean. The potential source areas of unknown acetonitrile source were northern Zhejiang Province, southern Jiangsu Province and the northeastern coastal marine environments. (C) 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
引用
收藏
页码:483 / 494
页数:12
相关论文
共 50 条
  • [31] Characteristics and Oxidative Potential of Ambient PM2.5 in the Yangtze River Delta Region: Pollution Level and Source Apportionment
    Cui, Yaojia
    Zhu, Longwei
    Wang, Hui
    Zhao, Zhuzi
    Ma, Shuaishuai
    Ye, Zhaolian
    ATMOSPHERE, 2023, 14 (03)
  • [32] Sensitivity analysis of ozone formation and source apportionment of VOCs in a typical industrial city in the Yangtze River Delta region during summer
    Li, Zijun
    Liu, Taotao
    Zhang, Hong
    Wang, Xinqi
    Zhang, Jun
    Qin, Zhiyong
    Zhu, Chengzhu
    ATMOSPHERIC POLLUTION RESEARCH, 2025, 16 (04)
  • [33] Characteristics and source apportionment of non-polar organic compounds in PM2.5 from the three megacities in Yangtze River Delta region, China
    Cao, Fang
    Zhang, Yi-Xuan
    Lin, Xin
    Zhang, Yan-Lin
    ATMOSPHERIC RESEARCH, 2021, 252
  • [34] VOC characteristics and source apportionment at a PAMS site near an industrial complex in central Taiwan
    Chen, Chun-Hao
    Chuang, Yen-Chang
    Hsieh, Chu-Chin
    Lee, Chih-Sheng
    ATMOSPHERIC POLLUTION RESEARCH, 2019, 10 (04) : 1060 - 1074
  • [35] Microplastic pollution and quantitative source apportionment in the Jiangsu coastal area, China
    Wang, Teng
    Li, Baojie
    Yu, Wenwen
    Zou, Xinqing
    MARINE POLLUTION BULLETIN, 2021, 166
  • [36] Soil mercury accumulation, spatial distribution and its source identification in an industrial area of the Yangtze Delta, China
    Zhang, Yanxia
    Wang, Mei
    Huang, Biao
    Akhtar, Mohammad Saleem
    Hu, Wenyou
    Xie, Enze
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2018, 163 : 230 - 237
  • [37] Source Apportionment and Optical Properties of Fine Particles Associated with Regional Pollution in the Yangtze River Delta
    Xia L.
    Zhu B.
    Wang H.-L.
    Kang H.-Q.
    Zhu, Bin (binzhu@nuist.edu.cn), 1600, Science Press (42): : 556 - 563
  • [38] Real-time numerical source apportionment of PM2.5 concentrations over the Yangtze River Delta region, China
    Zhou, Guangqiang
    Yu, Zhongqi
    Qu, Yuanhao
    Atmospheric Environment, 2021, 246
  • [39] Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China
    Liu, Jie
    Shen, Juanyong
    Cheng, Zhen
    Wang, Peng
    Ying, Qi
    Zhao, Qianbiao
    Zhang, Yihua
    Zhao, Yue
    Fu, Qingyan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 710
  • [40] Analysis of aerosol chemical components and source apportionment during a long-lasting haze event in the Yangtze River Delta, China
    Peng, Zhizhen
    Wang, Honglei
    Zhang, Minquan
    Zhang, Yinglong
    Li, Li
    Li, Yifei
    Ao, Zelin
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2025, 156 : 14 - 29