Source-sink relationships and health risk assessment of heavy metals in farmland soils of a Southwest Karst Industrial cluster: based on PMF and Monte Carlo simulation
文献类型：期刊论文
| 作者 | Chu, Xiaoyun2,3; Meng, Yingyi1; Wang, Yong1; Du, Ziwen2,3; Wang, Lingqing1; Liang, Tao1 |
| 刊名 | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
 |
| 出版日期 | 2026-03-23 |
| 卷号 | 48期号:6页码:256 |
| 关键词 | Agricultural soils Karstic regions Source-oriented risk Monte Carlo simulation High geogenic background |
| ISSN号 | 0269-4042 |
| DOI | 10.1007/s10653-026-03141-8 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Karst agricultural soils are characterized by inherently elevated heavy metal backgrounds, a condition that is frequently intensified by superimposed industrial activities. However, the pathways linking source contributions to human health risks remain insufficiently resolved in such geochemically complex systems. In this study, an integrated analytical framework combining positive matrix factorization (PMF), Boruta feature selection and Monte Carlo simulation was applied to a representative industrial-agricultural karst region in Southwest China. The results showed that Cd, Cr, and Pb were widely enriched in surface soils. PMF analysis identified six major contributing sources. The natural geological source was the highest proportion, which was 28.4%, followed by traffic and historical sources (19.7%), industrial emissions (18.5%), coal combustion (13.0%), wastewater irrigation (12.0%), and agricultural practices (8.2%). Soil pH, organic matter, vegetation coverage, and related factors were identified as key regulators of crop heavy metal bioaccumulation. The non-carcinogenic risk of adults was acceptable, and the hazard index of children exceeded the safety threshold (average = 1.12). Cr, As and Cd were the main risk drivers. There is an obvious risk amplification effect between sewage irrigation and industrial pollution sources, and the toxic effects and mass concentrations do not appear in proportion. The geological source has an obvious contribution to the risks of Cr and Ni, indicating that the relatively high background value of the karst environment is not necessarily favorable. The findings suggest that soil management should shift from concentration-based control toward a pathway-oriented framework that targets sources and processes driving actual health risks. |
| URL标识 | 查看原文 |
| WOS关键词 | SOURCE IDENTIFICATION ; SPATIAL-DISTRIBUTION ; AGRICULTURAL SOILS ; BIOAVAILABILITY ; CADMIUM ; CHINA |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001721311800001 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221293]  |
| 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 | Du, Ziwen; Wang, Lingqing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Beijing Forestry Univ, Coll Environm Sci & Engn, Beijing Key Lab Source Control Technol Water Pollu, Beijing 100083, Peoples R China; 3.Beijing Forestry Univ, Coll Environm Sci & Engn, Res Ctr Water Pollut Source Control & Ecoremediat, Beijing 100083, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chu, Xiaoyun,Meng, Yingyi,Wang, Yong,et al. Source-sink relationships and health risk assessment of heavy metals in farmland soils of a Southwest Karst Industrial cluster: based on PMF and Monte Carlo simulation[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2026,48(6):256. |
| APA | Chu, Xiaoyun,Meng, Yingyi,Wang, Yong,Du, Ziwen,Wang, Lingqing,&Liang, Tao.(2026).Source-sink relationships and health risk assessment of heavy metals in farmland soils of a Southwest Karst Industrial cluster: based on PMF and Monte Carlo simulation.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,48(6),256. |
| MLA | Chu, Xiaoyun,et al."Source-sink relationships and health risk assessment of heavy metals in farmland soils of a Southwest Karst Industrial cluster: based on PMF and Monte Carlo simulation".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 48.6(2026):256. |
入库方式： OAI收割
来源：地理科学与资源研究所
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