Integrated PMF-GeoDetector approach for source apportionment and spatial drivers of heavy metals in coupled surface-groundwater systems
文献类型：期刊论文
| 作者 | Li, Zhiying1,2; Alemu, Chalachew1,2; Yang, Fen2; Wei, Chaoyang2 |
| 刊名 | ENVIRONMENTAL EARTH SCIENCES
 |
| 出版日期 | 2025-10-21 |
| 卷号 | 84期号:21页码:611 |
| 关键词 | Heavy metals Natural water PMF GDM Source apportionment Manas river basin |
| ISSN号 | 1866-6280 |
| DOI | 10.1007/s12665-025-12632-3 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Source apportionment of heavy metals in waters have rarely been documented, contrasting to those vastly being conducted in soils and sediments; in addition, an integrated framework, such as combining correlation analysis (CA), Positive Matrix Factorization (PMF) and the GeoDetector model (GDM) in source apportionment of heavy metals in the regional surface and ground waters have not been examined. This gap impedes understanding aquatic contamination pathways, where source identification is critical for regional water management. In this study, the above mentioned framework was applied to quantify the contributions and spatial drivers of six heavy metals (As, Cd, Cr, Cu, Pb, Zn) in surface and groundwater across the Manas River Basin in Xinjiang, China. Analysis of 94 samples showed Surface water metal concentrations were within Class I limits of China's environmental quality standards, while groundwater showed localized exceeding for Zn, As, and Cr. CA result indicated positive Cu-As and Pb-Zn associations, whereas Zn-Cd showed consistent negative correlations across surface and groundwater. PMF results revealed dominant sources in surface water as agriculture (34.25%) and transportation (23.72%), while groundwater metals were mainly from mixed natural-agricultural sources, with 43.53% attributed to farming activities. GDM further identified soil type (q = 0.32-0.43), husbandry density (q = 0.23-0.40), and precipitation (q > 0.20) as primary spatial drivers, with notable geogenic-anthropogenic synergies in groundwater. The multi-model approach effectively locates heavy metal sources in coupled surface-groundwater systems and provided a quantitative assessment of the factors driving variations in heavy metal concentrations. |
| URL标识 | 查看原文 |
| WOS关键词 | MANAS RIVER-BASIN ; LAND-USE CHANGE ; ECOSYSTEM SERVICES ; AGRICULTURAL SOIL ; COMPONENTS ; SEDIMENT ; XINJIANG ; MODEL |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001598209100004 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217505]  |
| 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 | Yang, Fen; Wei, Chaoyang |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Zhiying,Alemu, Chalachew,Yang, Fen,et al. Integrated PMF-GeoDetector approach for source apportionment and spatial drivers of heavy metals in coupled surface-groundwater systems[J]. ENVIRONMENTAL EARTH SCIENCES,2025,84(21):611. |
| APA | Li, Zhiying,Alemu, Chalachew,Yang, Fen,&Wei, Chaoyang.(2025).Integrated PMF-GeoDetector approach for source apportionment and spatial drivers of heavy metals in coupled surface-groundwater systems.ENVIRONMENTAL EARTH SCIENCES,84(21),611. |
| MLA | Li, Zhiying,et al."Integrated PMF-GeoDetector approach for source apportionment and spatial drivers of heavy metals in coupled surface-groundwater systems".ENVIRONMENTAL EARTH SCIENCES 84.21(2025):611. |
入库方式： OAI收割
来源：地理科学与资源研究所
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