气候变化领域集成服务门户(CCPortal): Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China

CCPortal

DOI	10.1016/j.atmosenv.2020.117926
	Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China
	Bai X.; Tian H.; Liu X.; Wu B.; Liu S.; Hao Y.; Luo L.; Liu W.; Zhao S.; Lin S.; Hao J.; Guo Z.; Lv Y.
发表日期	2021
ISSN	13522310
卷号	244
英文摘要	With the implementation of the Air Pollution Prevention and Control Action Plan (APPCAP) since 2013, significant declines in pollutants concentrations have achieved in nationwide of China. However, as one of the major coal-production bases and intensive energy-consuming provinces in China, Shanxi has still been suffering from severe air quality problems in recent years. In this study, by combining a detailed bottom-up emission inventory and the weather research and forecasting (WRF) model/comprehensive air quality model with extensions (CAMx) model, the evolution of pollutant concentrations, source apportionment, and migration potentials from 2012 to 2015 in Shanxi are investigated. Estimated primary air pollutants emission declined significantly during 2012–2015. Compared with 2012, the simulated concentrations of PM2.5, PM10, SO2 and NO2 in January of 2015 are reduced by 24.7%, 24.1%, 23.0% and 18.0%, respectively. In contrast, heavy contaminated areas have shown negligible variations, which are highly concentrated in Taiyuan, Linfen, Jincheng, Changzhi, Lvliang, Yangquan and Jinzhong cities. In terms of contribution by source categories, the other industries and residential sources are identified as the most significant local contributors for PM2.5 and PM10, while SO2 and NO2 are mainly emitted by other industries and power plants. Scenarios analysis of 50% emission mitigation suggests that the emission reduction measures are generally more effective in summer than in winter. Moreover, the mitigation potential for each city varies from each other. These results indicate that more appropriate seasonal-specific emission reduction measures in each prefecture-level city should be implemented to further improve regional air quality and thus better protect public health. © 2020 Elsevier Ltd
英文关键词	Mitigation potentials; Prefecture-level city; Primary air pollutants; Sectoral contribution; Shanxi province of China; WRF-CAMx model
语种	英语
scopus关键词	Air quality; Emission control; Nitrogen oxides; Sulfur dioxide; Weather forecasting; Air pollution prevention; Air quality modeling; Emission inventories; Emission mitigation; Pollutant concentration; Regional air quality; Source apportionment; Weather research and forecasting models; Coal industry; coal; nitrogen dioxide; sulfur dioxide; air quality; concentration (composition); emission control; emission inventory; particulate matter; resource availability; source apportionment; spatiotemporal analysis; air pollutant; air pollution; air pollution control; air quality; Article; China; city; comprehensive air quality model with extension; electric power plant; environmental policy; industry; meteorology; particulate matter 10; particulate matter 2.5; priority journal; residential area; sensitivity analysis; simulation; spatiotemporal analysis; summer; weather research and forecasting model; winter; China
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144863
作者单位	State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China; School of Environment, Tsinghua University, Beijing, 100084, China
推荐引用方式 GB/T 7714	Bai X.,Tian H.,Liu X.,et al. Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China[J],2021,244.
APA	Bai X..,Tian H..,Liu X..,Wu B..,Liu S..,...&Lv Y..(2021).Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China.Atmospheric Environment,244.
MLA	Bai X.,et al."Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China".Atmospheric Environment 244(2021).