Literature DB >> 31745714

Characteristics and source apportionment of atmospheric volatile organic compounds in Beijing, China.

Wei Wei1,2, Yunting Ren3, Gan Yang3, Shuiyuan Cheng3,4, Lihui Han3,4.   

Abstract

This paper focused on VOCs and their source apportionment in urban Beijing. Our monitoring measured 52 VOCs in July 2014 and January 2015. The concentration of VOCs was in the range of 14.5~95.2 ppb in July and 2.1~93.1 ppb in January, with the top five compounds of toluene (10.7%), ethane (6.9%), ethylene (6.3%), n-butane (5.7%), and propane (5.6%) in July and ethylene (14.7%), n-butane (14.2%), ethane (9.6%), propylene (8.0%), toluene (7.9%), and benzene (6.9%) in January. The ratio of VOCs to CO reached 0.059 in July and 0.022 in January on average. These differences implied a potential seasonal difference in the VOC source contribution. Then, we conducted a source apportionment study based on 21 major VOCs and CO by using probabilistic matrix factorization (PMF) receptor model. According to the similarity between the PMF analysis profiles and the known source profiles, combustion sources, petrochemical industry sources, solvent utilization sources, and gasoline evaporation sources were identified. The correlation coefficient (R) between the PMF analysis profile and the source profile reached 0.68~0.87 in July and 0.53~0.92 in January. The better apportionment performance in July was mainly due to the use of intensive VOC observations at a 3-h resolution. When we conducted another PMF source apportionment for July based on 12-h resolved concentration input, the R values decreased to 0.47~0.73. Thus, the PMF model depends heavily on the sample number of concentration inputs, and intensive observation is more propitious. Our PMF apportionment results showed that combustion sources, petrochemical industry, solvent utilization, gasoline evaporation, and other sources contributed ambient VOCs in Beijing urban areas of 13.7 ppb, 5.1 ppb, 7.7 ppb, 12.8 ppb, and 3.3 ppb in July and 13.2 ppb, 2.0 ppb, 5.7 ppb, 6.6 ppb, and 1.0 ppb in January, respectively, on a monthly average. These apportionment results match well with the 2013 VOC emission inventory calculated by this study, but also presented significant seasonal differences in the petrochemical industry and gasoline evaporation, in which VOC emissions strongly respond to environmental temperature.

Entities:  

Keywords:  Emission inventory validation; PMF source apportionment; Sensitivity study; VOCs

Year:  2019        PMID: 31745714     DOI: 10.1007/s10661-019-7813-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

1.  [Process-based Emission Characteristics of Volatile Organic Compounds (VOCs) from Paint Industry in the Yangtze River Delta, China].

Authors:  Zi-wei Mo; He Niu; Si-hua Lu; Min Shao; Bin Gou
Journal:  Huan Jing Ke Xue       Date:  2015-06

2.  Impact of emission control on PM2.5 and the chemical composition change in Beijing-Tianjin-Hebei during the APEC summit 2014.

Authors:  Wei Wen; Shuiyuan Cheng; Xufeng Chen; Gang Wang; Song Li; Xiaoqi Wang; Xiaoyu Liu
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-29       Impact factor: 4.223

Review 3.  Receptor modeling of ambient particulate matter data using positive matrix factorization: review of existing methods.

Authors:  Adam Reff; Shelly I Eberly; Prakash V Bhave
Journal:  J Air Waste Manag Assoc       Date:  2007-02       Impact factor: 2.235

4.  Source apportionment of ambient volatile organic compounds in Beijing.

Authors:  Yu Song; Min Shao; Ying Liu; Sihua Lu; William Kuster; Paul Goldan; Shaodong Xie
Journal:  Environ Sci Technol       Date:  2007-06-15       Impact factor: 9.028

5.  A comprehensive classification method for VOC emission sources to tackle air pollution based on VOC species reactivity and emission amounts.

Authors:  Guohao Li; Wei Wei; Xia Shao; Lei Nie; Hailin Wang; Xiao Yan; Rui Zhang
Journal:  J Environ Sci (China)       Date:  2017-08-09       Impact factor: 5.565

6.  Industrial sector-based volatile organic compound (VOC) source profiles measured in manufacturing facilities in the Pearl River Delta, China.

Authors:  Junyu Zheng; Yufan Yu; Ziwei Mo; Zhou Zhang; Xinming Wang; Shasha Yin; Kang Peng; Yang Yang; Xiaoqiong Feng; Huihua Cai
Journal:  Sci Total Environ       Date:  2013-04-12       Impact factor: 7.963

7.  [Concentrations and ozone formation potentials of BTEX during 2008-2010 in urban Beijing, China].

Authors:  Han-Yu Cao; Yue-Peng Pan; Hui Wang; Ji-Hua Tan; Yue-Si Wang
Journal:  Huan Jing Ke Xue       Date:  2013-06
  7 in total

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