气候变化领域集成服务门户(CCPortal): Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model

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DOI	10.1016/j.chemosphere.2019.125767
	Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model
	Yang J.; Kang S.; Ji Z.; Yin X.; Tripathee L.
发表日期	2020
ISSN	9596836
卷号	246
英文摘要	In this study, in situ observations were conducted for six criteria air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) at 23 sites in western China for 1 year. Subsequently, the detailed Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) results for the pollutants were determined. The WRF-Chem model provided a clear perspective on the spatiotemporal distribution of air pollutants. High pollutant concentrations were mainly observed over highly populated mega-city regions, such as Sichuan and Guanzhong basins, whereas low concentration levels were observed over the Tibetan Plateau (TP). The TP also showed an increased concentration of O3. Seasonally, all six pollutants except O3 exhibited high concentration values during winter and low values during summer. O3 concentrations exhibited an opposite seasonal variation in low-altitude regions. Unlike other pollutants that exhibited gradually decreasing concentrations with an increase in altitude, O3 concentrations revealed an increasing trend. Furthermore, NO2 concentrations gradually increased in the upper atmosphere possibly due to lighting and stratospheric transmission. Atmospheric pollution is closely related to emissions and meteorological variations in western China. Meteorological conditions in the summer are conducive to pollutant dispersion and wet scavenging; however, unfavourable weather conditions (high pressure as well as a low planetary boundary layer height and precipitation level) in the winter can further worsen air pollution. Atmospheric pollutants from various emission sectors generally exhibited varying monthly profiles. In six typical cities, pollutants were positively correlated with multiple emission sources except for industrial emissions. Further sensitivity simulations indicated that eliminating residential emissions resulted in the largest decrease (up to 70%) in PM2.5 and PM10 concentrations. The most significant reductions in the concentrations of SO2 and NO2 were achieved by eliminating industrial and transportation emissions, respectively. The outcomes of this study could be helpful for future studies on pollution formation mechanisms as well as environmental and health risk assessments in western China. © 2019 Elsevier Ltd
英文关键词	Emission control strategies; Impact factors; Pollutant distribution; Western China; WRF-Chem
语种	英语
scopus关键词	Chemosphere
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158448
作者单位	State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou, 730000, China; School of Atmospheric Sciences, Key Laboratory for, Climate Change and Natural Disaster Studies of and Guangdong Province, Sun Yat-sen University, Guangzhou, 510275, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China
推荐引用方式 GB/T 7714	Yang J.,Kang S.,Ji Z.,et al. Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model[J]. 中国科学院西北生态环境资源研究院,2020,246.
APA	Yang J.,Kang S.,Ji Z.,Yin X.,&Tripathee L..(2020).Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model.,246.
MLA	Yang J.,et al."Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model".246(2020).