Title: | "Temporal variations and source apportionment of volatile organic compounds at an urban site in Shijiazhuang, China" |
Author(s): | Guan Y; Wang L; Wang S; Zhang Y; Xiao J; Wang X; Duan E; Hou L; |
Address: | "Scshool of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China; National and Local Joint Engineering Center of Volatile Organic Compounds & Odorous Pollution Control Technology, Shijiazhuang 050018, China. Scshool of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China. Hebei Province Environmental Monitoring Center, Shijiazhuang 050018, China. Hebei Province Environmental Emergency and Heavy Pollution Weather Warning Center, Shijiazhuang 050018, China. Scshool of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China; National and Local Joint Engineering Center of Volatile Organic Compounds & Odorous Pollution Control Technology, Shijiazhuang 050018, China. Electronic address: duan_eh@163.com. Logistics Science and Technology Research Institute of Rocket Army, Beijing 100011, China" |
DOI: | 10.1016/j.jes.2020.04.022 |
ISSN/ISBN: | 1001-0742 (Print) 1001-0742 (Linking) |
Abstract: | "Shijiazhuang, the city with the worst air quality in China, is suffering from severe ozone pollution in summer. As the key precursors of ozone generation, it is necessary to control the Volatile Organic Compounds (VOCs) pollution. To have a better understanding of the pollution status and source contribution, the concentrations of 117 ambient VOCs were analyzed from April to August 2018 in an urban site in Shijiazhuang. Results showed that the monthly average concentration of total VOCs was 66.27 ppbv, in which, the oxygenated VOCs (37.89%), alkanes (33.89%), and halogenated hydrocarbons (13.31%) were the main composite on. Eight major sources were identified using Positive Matrix Factorization modeling with an accurate VOCs emission inventory as inter-complementary methods revealed that the petrochemical industry (26.24%), other industrial sources (15.19%), and traffic source (12.24%) were the major sources for ambient VOCs in Shijiazhuang. The spatial distributions of major industrial activities emissions were identified by using geographic information statistics system, which illustrated the VOCs was mainly from the north and southeast of Shijiazhuang. The inverse trajectory analysis using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) and Potential Source Contribution Function (PSCF) clearly demonstrated the features of pollutant transport to Shijiazhuang. These findings can provide references for local governments regarding control strategies to reduce VOCs emissions" |
Keywords: | Air Pollutants/*analysis China Cities Environmental Monitoring Vehicle Emissions/analysis Volatile Organic Compounds/*analysis Gis Inverse trajectory Positive Matrix Factorization (PMF) modeling Shijiazhuang Source analysis VOCs; |
Notes: | "MedlineGuan, Yanan Wang, Lei Wang, Shujuan Zhang, Yihao Xiao, Jieying Wang, Xiaoli Duan, Erhong Hou, Li'an eng Netherlands 2020/09/17 J Environ Sci (China). 2020 Nov; 97:25-34. doi: 10.1016/j.jes.2020.04.022. Epub 2020 Jun 1" |