WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes

doi:10.1371/journal.pone.0208944

IEECAS OpenIR > 粉尘与环境研究室

	WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes
	Li, Nan 1; Lu, Yilei 2; Liao, Hong 1; He, Qingyang 3; Li, Jingyi 1; Long, Xin 4
通讯作者	Li, Nan(linan@nuist.edu.cn)
	2018-12-07
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	13 期号:12 页码:15
摘要	China has been troubled by high concentrations of fine particulate matter (PM2.5) for many years. Up to now, the pollutant sources are not yet fully understood and the control approach still remains highly uncertain. In this study, four month-long (January, April, July and October in 2015) WRF-Chem simulations with different sensitivity experiments were conducted in the Yangtze River Delta (YRD) region of eastern China. The simulated results were compared with abundant meteorological and air quality observations at 138 stations in 26 YRD cities. Our model well captured magnitudes and variations of the observed PM2.5, with the normal mean biases (NMB) less than +/- 20% for 19 out of the 26 YRD cities. A series of sensitivity simulations were conducted to quantify the contributions from individual source sectors and from different regions to the PM2.5 in the YRD region. The calculated results show that YRD local source contributed 64% of the regional PM2.5 concentration, while outside transport contributed the rest 36%. Among the local sources, industry activity was the most significant sector in spring (25%), summer (36%) and fall (33%), while residential source was more important in winter (38%). We further conducted scenario simulations to explore the potential impacts of varying degrees of emission controls on PM2.5 reduction. The result demonstrated that regional cooperative control could effectively reduce the PM2.5 level. The proportionate emission controls of 10%, 20%, 30%, 40% and 50% could reduce the regional mean PM2.5 concentrations by 10%, 19%, 28%, 37% and 46%, respectively, and for places with higher ambient concentrations, the mitigation efficiency was more significant. Our study on source apportionment and emission controls can provide useful information on further mitigation actions.
DOI	10.1371/journal.pone.0208944
关键词[WOS]	SUMMERTIME OZONE FORMATION ; NORTH CHINA PLAIN ; MEXICO-CITY ; AIR-QUALITY ; POLLUTION EPISODES ; GUANZHONG BASIN ; PM2.5 ; HAZE ; IMPACTS ; URBAN
收录类别	SCI ; SCI
语种	英语
资助项目	National Natural Science Foundation of China[41705128] ; Nanjing University of Information Science and Technology[2016r063] ; Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3)[FDLAP17003] ; Nanjing Star-jelly Environmental Consultants Co., Ltd.
WOS研究方向	Science & Technology - Other Topics
项目资助者	National Natural Science Foundation of China ; Nanjing University of Information Science and Technology ; Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) ; Nanjing Star-jelly Environmental Consultants Co., Ltd.
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000452640900055
出版者	PUBLIC LIBRARY SCIENCE
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/14472
专题	粉尘与环境研究室
通讯作者	Li, Nan
作者单位	1.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing, Jiangsu, Peoples R China 2.Nanjing Gaochun Dist Meteorol Bur, Nanjing, Jiangsu, Peoples R China 3.Nanjing Star Jelly Environm Consultants Co Ltd, Nanjing, Jiangsu, Peoples R China 4.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Li, Nan,Lu, Yilei,Liao, Hong,et al. WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes[J]. PLOS ONE,2018,13(12):15.
APA	Li, Nan,Lu, Yilei,Liao, Hong,He, Qingyang,Li, Jingyi,&Long, Xin.(2018).WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes.PLOS ONE,13(12),15.
MLA	Li, Nan,et al."WRF-Chem modeling of particulate matter in the Yangtze River Delta region: Source apportionment and its sensitivity to emission changes".PLOS ONE 13.12(2018):15.