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Huan Jing Ke Xue

Title:		[CALPUFF Modeling of the Influence of Typical Industrial Emissions on PM(2.5) in an Urban Area Considering the SOA Transformation Mechanism]
Author(s):		Gao S; Bo X; Ma Y; Lei TT; Wang G; Li SB; Lu ZY; Mao N; Hao ML; Huang XF;
Address:		"Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing 210093, China. Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing 100012, China. State Environmental Protection Key Laboratory of Numerical Modeling for Environment Impact Assessment, Ministry of Environmental Protection, Beijing 100012, China. School of Science and Technology of Environmental, Hebei University of Science and Technology, Shijiazhuang 050000, China. Trinity Consultants China Office, Hangzhou 310012, China. Cangzhou City Environmental Protection Science Research Institute, Cangzhou 061000, China. Hebei Zhengrun Environmental Technology Co., Ltd., Shijiazhuang 050000, China. Hong Qing Environmental Technology Co., Ltd., Beijing 100012, China"
Journal Title:		Huan Jing Ke Xue
Year:		2019
Volume:		40
Issue:		4
Page Number:		1575 - 1584
DOI:		10.13227/j.hjkx.201809076
ISSN/ISBN:		0250-3301 (Print) 0250-3301 (Linking)
Abstract:		"120 main industrial installations were screened based on the emissions inventory of 2016 in Cangzhou City, and the air pollution effect of PM(2.5), PM(10), SO(2), NO(2), sulfates, nitrates, and secondary organic aerosol (SOA) was simulated for 2017 autumn-winter season for different levels of pollution using the CALPUFF model after code recompilation. The results showed that the ratios of the modelled and measured concentrations of PM(2.5), PM(10), SO(2), and NO(2) were 3.3%, 5.7%, 5.6%, and 2.9%, respectively. The areas most affected by pollution from primary PM(10) were the southwest and southeast part of Cangzhou, while sulfate, nitrate, and SOA pollution mainly affected the southeast part. The proportion of SOA in the PM(2.5) was around 27.3%, and rose to 29.0% during heavily polluted periods. The aerosols of alkenes, tolune, xylene, and PAH in PM(2.5) accouted for 12.1%, 6.0%, 7.0%, and 2.2% of the total aerosols respectively. The result of the simulation of individual enterprises showed that their total contribution to PM(2.5) during heavily polluted periods was 3.02 mug.m(-3), accounting for 50% of the requirements in the 'Three-year Plan' for Cangzhou City (6.00 mug.m(-3)). The top 5 contributors were 1 Petrochemical industry in Cangzhou (0.41 mug.m(-3)), 2 Carbon Co. Ltd. (0.29 mug.m(-3)), 3 Petrochemical industry in Juhai (0.26 mug.m(-3)), 4 Fertilizer Company (0.23 mug.m(-3)), 5 Dahua Co. Ltd. (0.19 mug.m(-3)). These industrial installations were mainly located in Xinhua District, Cangxian, and Bohai New District. This research can provide a scientific ground for production restrictions and limitations and emissions reduction of each industry during heavily polluted periods"
Keywords:		CALPUFF model SOA transformation mechanism emission inventory refined source apportionment volatile organic compounds (VOCs);
Notes:		"PubMed-not-MEDLINEGao, Shuang Bo, Xin Ma, Yan Lei, Tuan-Tuan Wang, Gang Li, Shi-Bei Lu, Zhao-Yang Mao, Na Hao, Ming-Liang Huang, Xiang-Feng chi English Abstract China 2019/05/16 Huan Jing Ke Xue. 2019 Apr 8; 40(4):1575-1584. doi: 10.13227/j.hjkx.201809076"