Deciphering multi-media occurrence and anthropogenic drivers of potentially toxic elements in a rapidly urbanized estuary: A neural network-enhanced source apportionment
文献类型：期刊论文
| 作者 | Wang, Weili1,2; Lin, Yuhong2; Pan, Zhong2; Liu, Yang2; Wang, Lingqing3; Dong, Xu2; Chen, Baohong2; Lin, Cai2; Zhu, Zuhao1,4 |
| 刊名 | MARINE POLLUTION BULLETIN
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 218页码:118178 |
| 关键词 | Bioaccumulation Pollution characteristics Multimedia Ecological risk Source |
| ISSN号 | 0025-326X |
| DOI | 10.1016/j.marpolbul.2025.118178 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Estuaries and adjacent waters are the most important and vulnerable areas to human activities in coastal seawater, and potentially toxic elements (PTEs) pollution have long received global attention. This study presents a multi-media occurrence to assess the distribution, sources, and ecological risks of PTEs (Cu, Pb, Zn, Cd, Cr, Hg, and As) in the Modaomen Estuary, a rapidly urbanizing coastal zone in southern China. Results revealed that the most abundant elements in seawater, surface sediment, and marine organisms was Zn, while the element with the lowest concentration was Hg. The PTEs in seawater is at a low pollution level according to the comprehensive pollution index (CPI). Sediment analysis highlighted significant enrichment of Cd and Hg, with potential ecological risk index (PERI) identifying these elements as the primary contributors to ecological hazards. Zn in seawater is the most easily enriched element by marine organisms. By integrating advanced Self-organizing maps (SOM) and Positive matrix factorization (PMF) model, we conducted a comprehensive source analysis of PTEs. The SOM-PMF model successfully delineated three major anthropogenic sources-industrial wastewater discharge, fossil fuel combustion, and agricultural activities-accounting for 62.5 % of the total PTEs contributions. This study not only provides a robust framework for understanding PTE dynamics in estuarine environments but also introduces an innovative methodological approach for source apportionment and risk assessment. |
| URL标识 | 查看原文 |
| WOS关键词 | YANGTZE-RIVER ESTUARY ; SURFACE SEDIMENTS ; HEAVY-METALS ; TRACE-METAL ; POLLUTION |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology |
| 语种 | 英语 |
| WOS记录号 | WOS:001498896300001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214514]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Lin, Cai; Zhu, Zuhao |
| 作者单位 | 1.Guangxi Key Lab Beibu Gulf Marine Resources Enviro, Beihai 536000, Peoples R China; 2.Minist Nat Resources, Inst Oceanog 3, Xiamen 361005, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Minist Nat Resources, Inst Oceanog 4, Key Lab Trop Marine Ecosyst & Bioresource, Beihai 536000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Weili,Lin, Yuhong,Pan, Zhong,et al. Deciphering multi-media occurrence and anthropogenic drivers of potentially toxic elements in a rapidly urbanized estuary: A neural network-enhanced source apportionment[J]. MARINE POLLUTION BULLETIN,2025,218:118178. |
| APA | Wang, Weili.,Lin, Yuhong.,Pan, Zhong.,Liu, Yang.,Wang, Lingqing.,...&Zhu, Zuhao.(2025).Deciphering multi-media occurrence and anthropogenic drivers of potentially toxic elements in a rapidly urbanized estuary: A neural network-enhanced source apportionment.MARINE POLLUTION BULLETIN,218,118178. |
| MLA | Wang, Weili,et al."Deciphering multi-media occurrence and anthropogenic drivers of potentially toxic elements in a rapidly urbanized estuary: A neural network-enhanced source apportionment".MARINE POLLUTION BULLETIN 218(2025):118178. |
入库方式： OAI收割
来源：地理科学与资源研究所
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