| Title: | "Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China" |
| Author(s): | Zhang Y; Li R; Fu H; Zhou D; Chen J; |
| Address: | "Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China. Electronic address: fuhb@fudan.edu.cn. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China. Electronic address: jmchen@fudan.edu.cn" |
| DOI: | 10.1016/j.jes.2018.05.027 |
| ISSN/ISBN: | 1001-0742 (Print) 1001-0742 (Linking) |
| Abstract: | "Volatile organic compounds (VOCs) are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes (41.8%), followed by aromatics (20.1%), alkenes (17.9%), and halo-hydrocarbons (12.5%). The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization (PMF) coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources: solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions (23%), refinery and petrochemical industrial emissions (21%), fuel evaporations (13%) and vehicular emissions (13%). The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentration, followed by aromatics and alkanes. Based on a maximum incremental reactivity (MIR) method, the average hourly ozone formation potential (OFP) of VOCs is 220.49?ª+ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area" |
| Keywords: | Air Pollutants/*analysis Alkanes/analysis Atmosphere/chemistry Chemical Industry China *Environmental Monitoring Hydrocarbons/analysis Ozone/analysis Photochemical Processes Vehicle Emissions/analysis Volatile Organic Compounds/*analysis Emission sources; |
| Notes: | "MedlineZhang, Yunchen Li, Rui Fu, Hongbo Zhou, Dong Chen, Jianmin eng Netherlands 2018/09/10 J Environ Sci (China). 2018 Sep; 71:233-248. doi: 10.1016/j.jes.2018.05.027. Epub 2018 Jun 14" |
