How aerosol direct effects influence the source contributions to PM2.5 concentrations over Southern Hebei, China in severe winter haze episodes

被引:8
|
作者
Wang, Litao [1 ,2 ]
Fu, Joshua S. [2 ]
Wei, Wei [3 ]
Wei, Zhe [1 ]
Meng, Chenchen [1 ]
Ma, Simeng [1 ]
Wang, Jiandong [4 ]
机构
[1] Hebei Univ Engn, Dept Environm Engn, Handan 056038, Peoples R China
[2] Univ Tennessee, Dept Civil & Environm Engn, Knoxville, TN 37996 USA
[3] Beijing Univ Technol, Dept Environm Sci, Beijing 100124, Peoples R China
[4] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Aerosol direct effect; PM2.5; Southern Hebei; WRF/Chem; Haze; SOURCE APPORTIONMENT; AIR-QUALITY; MODEL; METEOROLOGY; EMISSIONS; FEEDBACKS; EVENT;
D O I
10.1007/s11783-018-1014-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beijing-Tianjin-Hebei area is the most air polluted region in China and the three neighborhood southern Hebei cities, Shijiazhuang, Xingtai, and Handan, are listed in the top ten polluted cities with severe PM2.5 pollution. The objective of this paper is to evaluate the impacts of aerosol direct effects on air quality over the southern Hebei cities, as well as the impacts when considering those effects on source apportionment using three dimensional air quality models. The WRF/Chem model was applied over the East Asia and northern China at 36 and 12 km horizontal grid resolutions, respectively, for the period of January 2013, with two sets of simulations with or without aerosol-meteorology feedbacks. The source contributions of power plants, industrial, domestic, transportation, and agriculture are evaluated using the Brute-Force Method (BFM) under the two simulation configurations. Our results indicate that, although the increases in PM2.5 concentrations due to those effects over the three southern Hebei cities are only 3%-9% on monthly average, they are much more significant under high PM2.5 loadings (similar to 50 mu g.m(-3) when PM2.5 concentrations are higher than 400 mu g.m(-3)). When considering the aerosol feedbacks, the contributions of industrial and domestic sources assessed using the BFM will obviously increase (e.g., from 30%-34% to 32%-37% for industrial), especially under high PM2.5 loadings (e.g., from 36%-44% to 43%-47% for domestic when PM2.5 > 400 mu g.m(-3)). Our results imply that the aerosol direct effects should not be ignored during severe pollution episodes, especially in short-term source apportionment using the BFM. (C) Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018.
引用
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页数:13
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