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Atmospheric wet deposition of trace metal elements: Monitoring and modelling

文献类型：期刊论文

作者Li, Dan1,2,5,6,9; Zheng, Jie5,9; Yang, Mengrong2,5,9; Meng, Yang5,9; Yu, Xu1,6; Zhou, Huaishan1,6; Tong, Lei5,9; Wang, Keqiang5,9; Li, Yi-Fan7,8; Wang, Xinming1,4,5,6
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2023-10-01
卷号893页码:15
关键词Wet deposition flux Scavenging ratio Box model Trace elements
ISSN号0048-9697
DOI10.1016/j.scitotenv.2023.164880
英文摘要Trace elements (TEs), a group of atmospheric pollutants, have attracted considerable attention from scientists and government administrators worldwide. The wet deposition fluxes of nineteen trace elements (NTE) were monitored at Wanqingsha, a coastal site in the Pearl River Delta, for three consecutive years (2016.9-2019.8). Significant seasonal differences in NTE between wet and dry seasons were observed. The fluxes of crustal elements (Ca, Na, Al, Mg, K, Fe, Zn and Ba) were significantly higher than those of anthropogenic elements, accounting for over 99 % of the total annual wet deposition of 19 elements. Analysis of PM2.5 and rainfall samples reveals that both the fraction of each TE in the PM2.5 (CQ) and the Apparent Scavengance Ratio for TE (ASR, defined as the concentration ratio in rain and PM2.5) follow lognormal distributions. The logCQ variation for each element is relatively small but shows substantial differences, with means ranging from -5.48 to -2.03, while the logASRs for all elements show similar means (varying from 5.86 to 7.64) and an extremely wide range of variation. The influences of meteorological factors on CQ and ASR were also investigated. A simple box model framework was constructed to reasonably simplify the TE removal process by precipitation. The corresponding regression analysis showed significant correlations between NTE and the precipitation rate, PM2.5 concentration, ASR, and CQ, with R2 ranging from 0.711 to 0.970. By substituting the effects of environmental factors on ASR and CQ into the above relationship, temporal variations in AiTE can be predicted. The reliability of the model was demonstrated by comparing model simulations with observations over three years. For most elements, the models can predict the temporal variation of AiTE quite accurately, and even for the worst predictions, such as Al, Mg, K, Co and Cd, where predictions exceed observations by only an order of magnitude.
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001033215500001
源URL[http://ir.gig.ac.cn/handle/344008/74511]  
专题有机地球化学国家重点实验室
通讯作者Wang, Xinming; Xiao, Hang
作者单位1.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Key Lab Environm Protect & Resources Uti, Guangzhou 510640, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Urban Environm, Xiamen 361021, Peoples R China
4.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China
5.Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China
6.Chinese Acad Sci, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
7.Harbin Inst Technol, Polar Acad, Int Joint Res Ctr Arctic Environm & Ecosyst IJRC A, Harbin 150090, Peoples R China
8.Harbin Inst Technol, Int Joint Res Ctr Persistent Tox Subst IJRC PTS, Sch Environm, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
9.Chinese Acad Sci, Ningbo Res Ctr Urban Environm, Ningbo Beilun Zhongke Haixi Ind Technol Innovat Ct, Ningbo 315800, Peoples R China
推荐引用方式
GB/T 7714		 Li, Dan,Zheng, Jie,Yang, Mengrong,et al. Atmospheric wet deposition of trace metal elements: Monitoring and modelling[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,893:15.
APA Li, Dan.,Zheng, Jie.,Yang, Mengrong.,Meng, Yang.,Yu, Xu.,...&Xiao, Hang.(2023).Atmospheric wet deposition of trace metal elements: Monitoring and modelling.SCIENCE OF THE TOTAL ENVIRONMENT,893,15.
MLA Li, Dan,et al."Atmospheric wet deposition of trace metal elements: Monitoring and modelling".SCIENCE OF THE TOTAL ENVIRONMENT 893(2023):15.

入库方式： OAI收割

来源：广州地球化学研究所

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