Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China
文献类型：期刊论文
| 作者 | Luo, Lingzhi1,2,3; Wang, Liang1,2; Li, You1,2; Cao, Hongying1,2; Guo, Yanling1,2,3; Liao, Xiaoyong1,2 |
| 刊名 | ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
 |
| 出版日期 | 2025-07-15 |
| 卷号 | 300页码:118458 |
| 关键词 | Heavy metals Soil pollution Health risk Machine learning Urban and rural residents |
| ISSN号 | 0147-6513 |
| DOI | 10.1016/j.ecoenv.2025.118458 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Soil heavy metal contamination poses serious health risks, but few studies have quantitatively assessed disparities in these risks between urban and rural populations. To address this gap, we introduce a novel framework integrating machine learning and spatially explicit risk models to assess individual- and population-level health risks from soil heavy metals in Baoding City, China. We used random forest models to predict high-resolution soil metal concentration maps, Positive Matrix Factorization for source apportionment, and spatial exposure models to estimate human health risks under multiple exposure pathways. This is the first study to combine highresolution machine learning mapping, source apportionment, and multi-scale risk assessment in an urban-rural context. Key findings reveal risk contrasts: urban soils exhibited a 51 % higher ecological risk index than rural soils, reflecting concentrated pollution hotspots. However, individual-level risk assessments indicate that rural residents face 3 higher health hazards than urban residents. By contrast, aggregated non-carcinogenic and carcinogenic population risks were 1.8 and 1.7 times higher in urban areas. These contrasting results reveal an overlooked rural vulnerability at the individual scale versus greater aggregate risk in urban populations. Combining machine learning with spatially explicit risk modeling, our study quantifies previously undetected urban-rural health risk inequalities from soil contamination. This integrated approach advances scientific understanding of how urbanization shapes spatial health risk patterns and provides actionable insights for targeted environmental management to protect vulnerable communities, inform mitigation strategies, and identify priority intervention areas. |
| URL标识 | 查看原文 |
| WOS关键词 | UNITED-STATES ; EXPOSURE ; URBANIZATION ; DISPARITIES ; CHILDREN ; OBESITY ; REGION ; ADULTS ; SIZE ; US |
| WOS研究方向 | Environmental Sciences & Ecology ; Toxicology |
| 语种 | 英语 |
| WOS记录号 | WOS:001507088500002 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214599]  |
| 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 | Wang, Liang; Liao, Xiaoyong |
| 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 Key Lab Environm Damage Assessment & Remed, Beijing 100101, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Lingzhi,Wang, Liang,Li, You,et al. Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China[J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2025,300:118458. |
| APA | Luo, Lingzhi,Wang, Liang,Li, You,Cao, Hongying,Guo, Yanling,&Liao, Xiaoyong.(2025).Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China.ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,300,118458. |
| MLA | Luo, Lingzhi,et al."Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China".ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 300(2025):118458. |
入库方式： OAI收割
来源：地理科学与资源研究所
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