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Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model
Wen-Jing Dai; Xiao-Dong Li; Yu-Cong Fu; Shi-Yuan Ding; Qin-Kai Li
2023
Source PublicationScience of The Total Environment (IF:4.9[JCR-2016],5.102[5-Year])
Volume892Pages:164567
Abstract

 

 

DOI10.1016/j.scitotenv.2023.164567
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Indexed BySCI
Language英语
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.gyig.ac.cn/handle/42920512-1/14641
Collection环境地球化学国家重点实验室
Affiliation1.School of Earth System Science, Tianjin University, Tianjin 300072, China
2.School of Earth Science and Resource, Chang'an University, Xi'an 710054, China
3.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
4.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Wen-Jing Dai,Xiao-Dong Li,Yu-Cong Fu,et al. Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model[J]. Science of The Total Environment,2023,892:164567.
APA Wen-Jing Dai,Xiao-Dong Li,Yu-Cong Fu,Shi-Yuan Ding,&Qin-Kai Li.(2023).Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model.Science of The Total Environment,892,164567.
MLA Wen-Jing Dai,et al."Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model".Science of The Total Environment 892(2023):164567.
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