| 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 | |
| 发表期刊 | Science of The Total Environment
 |
| 卷号 | 892页码:164567 |
| 摘要 |
|
| DOI | 10.1016/j.scitotenv.2023.164567 |
| URL | 查看原文 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.gyig.ac.cn/handle/42920512-1/14641 |
| 专题 | 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 |
| 推荐引用方式 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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Identification and c（4070KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论