Impact of air pollution control policies on future PM2.5 concentrations and their source contributions in China

被引:91
作者
Cai, Siyi [1 ]
Ma, Qiao [1 ,2 ]
Wang, Shuxiao [1 ,3 ]
Zhao, Bin [4 ]
Brauer, Michael [5 ]
Cohen, Aaron [6 ]
Martin, Randall V. [7 ]
Zhang, Qianqian [8 ]
Li, Qinbin [4 ]
Wang, Yuxuan [9 ]
Hao, Jiming [1 ,3 ]
Frostad, Joseph [10 ]
Forouzanfar, Mohammad H. [10 ]
Burnett, Richard T. [11 ]
机构
[1] Tsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
[2] Shandong Univ, Sch Energy & Power Engn, Jinan 250061, Shandong, Peoples R China
[3] State Environm Protect Key Lab Sources & Control, Beijing 100084, Peoples R China
[4] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[5] Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC V6T 1Z3, Canada
[6] Hlth Effects Inst, Boston, MA 02110 USA
[7] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 4R2, Canada
[8] Natl Satellite Meteorol Ctr, Beijing 100089, Peoples R China
[9] Univ Houston, Dept Earth & Atmospher Sci, Houston, TX USA
[10] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[11] Hlth Canada, Ottawa, ON K1A 0K9, Canada
基金
中国国家自然科学基金;
关键词
Emission scenario; GEOS-Chem simulation; PM2.5; concentration; Source contribution; China; PARTICULATE MATTER POLLUTION; SOURCE APPORTIONMENT; AMMONIUM AEROSOLS; EMISSION CHANGES; TRENDS; SULFATE; MODEL; PROJECTIONS; QUALITY; NITRATE;
D O I
10.1016/j.jenvman.2018.08.052
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To investigate the impact of air pollutant control policies on future PM2.5 concentrations and their source contributions in China, we developed four future scenarios for 2030 based on a 2013 emission inventory, and conducted air quality simulations for each scenario using the chemical transport model GEOS-Chem (version 9.1.3). Two energy scenarios i.e., current legislation (CLE) and with additional measures (WAM), were developed to project future energy consumption, reflecting, respectively, existing legislation and implementation status as of the end of 2012, and new energy-saving policies that would be released and enforced more stringently. Two end-of pipe control strategies, i.e., current control technologies (until 2017) and more stringent control technologies (until 2030), were also developed. The combinations of energy scenarios and end-of-pipe control strategies constitute four emission scenarios (2017-CLE, 2030-CLE, 2017-WAM, and 2030-WAM) evaluated in simulations. PM2.5 concentrations at national level were estimated to be 57 mu g/m(3) in the base year 2013, and 58 mu g/m(3), 42 mu g/m(3), 42 mu g/m(3), and 30 mu g/m(3) under the 2017-CLE, 2030-CLE, 2017-WAM, and 2030-WAM scenarios in 2030, respectively. Large PM2.5 reductions between 2013 and 2030 were estimated for heavily polluted regions (Sichuan Basin, Middle Yangtze River, North China). The energy-saving policies show similar effects to the end-of-pipe emission control measures, but the relative importance of these two groups of policies varies in different regions. Absolute contributions to PM2.5 concentrations from most major sources declined from 2017-CLE to 2030-WAM. With respect to fractional contributions, most coal-burning sectors (including power plant, industrial and residential coal burning) increased from 2017-CLE to 2030-WAM, due to larger reductions from non-coal sources, including transportation and biomass open burning. Residential combustion and open burning had much lower fractional contribution to ambient PM2.5 concentrations in the 2017-WAM/2030-WAM compared to the 2017-CLE/2030-CLE scenarios. Fractional contributions from transportation were reduced dramatically in 2030-CLE and 2030-WAM compared to 2017-CLE/2017-WAM, due to the enforcement of stringent end-of-pipe emission controls. Across all scenarios, coal combustion remained the single largest contributor to PM2.5 concentrations in 2030. Reducing PM2.5 emissions from coal combustion remains a strategic priority for air quality management in China.
引用
收藏
页码:124 / 133
页数:10
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