中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model

文献类型:期刊论文

作者Wen-Jing Dai; Xiao-Dong Li; Yu-Cong Fu; Shi-Yuan Ding; Qin-Kai Li
刊名Science of The Total Environment
出版日期2023
卷号892页码:164567
DOI10.1016/j.scitotenv.2023.164567
英文摘要

 

 

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语种英语
源URL[http://ir.gyig.ac.cn/handle/42920512-1/14641]  
专题地球化学研究所_环境地球化学国家重点实验室
作者单位1.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
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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.

入库方式: OAI收割

来源:地球化学研究所

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