Year-long simulation of gaseous and particulate air pollutants in India

被引:89
|
作者
Kota, Harsha [1 ,2 ,3 ]
Guo, Hao [1 ]
Myllyvirta, Lauri [4 ]
Hu, Jianlin [2 ]
Sahu, Shovan Kumar [3 ]
Garaga, Rajyalakshmi [3 ]
Ying, Qi [2 ,5 ]
Gao, Aifang [6 ,7 ]
Dahiya, Sunil [8 ]
Wang, Yuan [9 ]
Zhang, Hongliang [1 ,2 ]
机构
[1] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA
[2] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Atmospher Environm Monitoring & P, Jiangsu Engn Technol Res Ctr Environm Cleaning Ma, Collaborat Innovat Ctr Atmospher Environm & Equip, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China
[3] Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, Assam, India
[4] Greenpeace East Asia, Beijing 100007, Peoples R China
[5] Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA
[6] Hebei GEO Univ, Sch Water Resources & Environm, Shijiazhuang 050031, Hebei, Peoples R China
[7] Hebei Key Lab Sustained Utilizat & Dev Water Reso, Shijiazhuang 050031, Hebei, Peoples R China
[8] Greenpeace India, New Delhi 110049, India
[9] CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91106 USA
关键词
Ozone; Particulate matter; WRF; CMAQ; EDGAR; India; SECONDARY ORGANIC AEROSOL; SOURCE APPORTIONMENT; COMMONWEALTH GAMES; QUALITY; PM2.5; DELHI; EMISSIONS; MATTER; MODEL; OZONE;
D O I
10.1016/j.atmosenv.2018.03.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Severe pollution events occur frequently in India but few studies have investigated the characteristics, sources, and control strategies for the whole country. A year-long simulation was carried out in India to provide detailed information of spatial and temporal distribution of gas species and particulate matter (PM). The concentrations of O-3, NO2, SO2, CO, as well as PM2.5 and its components in 2015 were predicted using Weather Research Forecasting (WRF) and the Community Multiscale Air Quality (CMAQ) models. Model performance was validated against available observations from ground based national ambient air quality monitoring stations in major cities. Model performance of O-3 does not always meet the criteria suggested by the US Environmental Protection Agency (EPA) but that of PM2.5 meets suggested criteria by previous studies. The performance of model was better on days with high O-3 and PM2.5 levels. Concentrations of PM2.5, NO2, CO and SO2 were highest in the Indo-Gangetic region, including northern and eastern India. PM2.5 concentrations were higher during winter and lower during monsoon season. Winter nitrate concentrations were 160-230% higher than yearly average. In contrast, the fraction of sulfate in total PM2.5 was maximum in monsoon and least in winter, due to decrease in temperature and solar radiation intensity in winter. Except in southern India, where sulfate was the major component of PM2.5, primary organic aerosol (POA) fraction in PM2.5 was highest in all regions of the country. Fractions of secondary components were higher on bad days than on good days in these cities, indicating the importance of control of precursors for secondary pollutants in India. Capsule abstract: Predicted gaseous and particulate air pollutants in India using WRF/CMAQ in 2015 were validated and the variations were analyzed for future source and health analysis.
引用
收藏
页码:244 / 255
页数:12
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