气候变化领域集成服务门户(CCPortal): Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018

CCPortal

DOI	10.1016/j.atmosenv.2021.118655
	Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018
	Zhou K.; Zhao Y.; Zhang L.; Xi M.
发表日期	2021
ISSN	1352-2310
卷号	262
英文摘要	The nitrogen and sulfur deposition results in damages on ecosystems, while the lack of direct observation on dry deposition limits our understanding of the total deposition. This study aimed to improve the methodology and estimates of NO2 and SO2 dry deposition in China and to explore the efficacy of China's recent emission control measures on dry deposition at the national and regional scales. We combined the random forest algorithm and the GEOS-Chem chemical transport model to predict the dry deposition fluxes of NO2 and SO2 and their inter-annual variabilities during 2013–2018 in mainland China. The annual NO2 dry deposition ranged between 2.1 and 3.1 kg N ha−1 yr−1, with an annual reduction rate of 0.21 kg N ha−1 yr−1 over this period. The areas with large deposition were located in the east, while the biggest reduction existed in the relatively clean Tibet Plateau region. The annual SO2 dry deposition ranged between 7.5 and 18.4 kg S ha−1 yr−1, with the annual reduction rate at 2.4 kg S ha−1 yr−1. Both the magnitude and relative reduction in the north were generally larger than the south. Regarding the four typical economically developed regions, the NO2 deposition declined slower than the national average, while SO2 generally declined faster than or equivalently to the national average, except for Pearl River Delta. The reduced emissions attributed to the national action on air pollution control were identified as an important reason for the declining deposition. However, the increased traffic and industrial capacity in the east weakened its benefit on NO2. © 2021 Elsevier Ltd
关键词	Air pollution control Dry deposition Random forest Spatiotemporal pattern
语种	英语
scopus关键词	Air pollution; Decision trees; Emission control; Nitrogen oxides; River pollution; Direct observations; Dry deposition; Nitrogen deposition; NO $-2$; Random forests; Reduction rate; SO$-2$; SO$-2$/ dry deposition; Spatiotemporal patterns; Sulphur deposition; Deposition; algorithm; atmospheric pollution; dry deposition; emission control; nitrogen dioxide; spatiotemporal analysis; sulfur dioxide; China; Guangdong; Qinghai-Xizang Plateau; Zhujiang Delta
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/248269
作者单位	State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China; Laboratory for Climate and Ocean-Atmosphere Sciences, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China; Environmental Big Data Science Center, Research Institute for Environmental Innovation Suzhou Tsinghua, Suzhou, Jiangsu 215163, China
推荐引用方式 GB/T 7714	Zhou K.,Zhao Y.,Zhang L.,et al. Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018[J],2021,262.
APA	Zhou K.,Zhao Y.,Zhang L.,&Xi M..(2021).Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018.ATMOSPHERIC ENVIRONMENT,262.
MLA	Zhou K.,et al."Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018".ATMOSPHERIC ENVIRONMENT 262(2021).