Disentangling natural and anthropogenic influences on the spatial variability of soil cadmium contamination
文献类型：期刊论文
| 作者 | Geng, Jing1,5; Yu, Yong1; Tan, Qiuyuan1; Li, Guoxu1; Fang, Huajun3,4; Guo, Yifan4; Cheng, Shulan2 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 384页码:126946 |
| 关键词 | Soil cadmium contamination Spatial variability Anthropogenic impacts Driver interactions |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2025.126946 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Soil cadmium (Cd) contamination poses serious environmental risks to cultivated land use, driven by a combination of natural processes and anthropogenic activities. Traditional single-factor analyses often struggle to capture its spatial heterogeneity and the interactions among influencing factors. To address this, we propose an integrated framework that combines geographical detectors (GD), random forest (RF), and structural equation modeling (SEM) to systematically identify the key drivers of Cd contamination and quantify their direct and indirect effects. This hybrid approach advances spatial modeling by integrating data-driven analysis with causal inference. The results reveal significant spatial variability in Cd concentrations, with a coefficient of variation reaching 103.70 %, underscoring the non-uniformity of the contamination landscape. Two pollution indices, the geoaccumulation index (Igeo) and exceeding standard rate (ES), consistently indicated increasing contamination from northwest to southeast with hotspots near mining areas. Results from both the GD and RF models indicate that major contributing factors include distance to the mining site, soil organic carbon (SOC), pH, topographic elevation (DEM), and surrounding residential zones. Interaction analysis showed that the combined effect of mining proximity and soil pH intensifies Cd accumulation, a pattern further confirmed by SEM. SEM also demonstrated that distance to the mining site is the most significant direct driver of Cd contamination, while DEM indirectly affect Cd levels by influencing mining-related spatial patterns. This integrated framework offers a comprehensive methodology for understanding the spatial dynamics of soil Cd contamination and provides new insights into the interplay between natural and human-induced drivers. |
| URL标识 | 查看原文 |
| WOS关键词 | HEAVY-METAL POLLUTION ; URBAN SOILS ; RISK ; DESORPTION ; PROVINCE ; ZN |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001620529300003 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219501]  |
| 专题 | 千烟洲站森林生态系统研究中心_外文论文 |
| 通讯作者 | Fang, Huajun |
| 作者单位 | 1.Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Zhongke Jian Inst Ecoenvironm Sci, Jian 343000, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 5.Sun Yat Sen Univ, Key Lab Comprehens Observat Polar Environm, Minist Educ, Zhuhai 519082, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Geng, Jing,Yu, Yong,Tan, Qiuyuan,et al. Disentangling natural and anthropogenic influences on the spatial variability of soil cadmium contamination[J]. ENVIRONMENTAL POLLUTION,2025,384:126946. |
| APA | Geng, Jing.,Yu, Yong.,Tan, Qiuyuan.,Li, Guoxu.,Fang, Huajun.,...&Cheng, Shulan.(2025).Disentangling natural and anthropogenic influences on the spatial variability of soil cadmium contamination.ENVIRONMENTAL POLLUTION,384,126946. |
| MLA | Geng, Jing,et al."Disentangling natural and anthropogenic influences on the spatial variability of soil cadmium contamination".ENVIRONMENTAL POLLUTION 384(2025):126946. |
入库方式： OAI收割
来源：地理科学与资源研究所
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