Heterogeneity, nonlinearity, and multifactor interactions of polycyclic aromatic hydrocarbons in steelworks soils
文献类型：期刊论文
| 作者 | Hou, Yixuan1,2; Liao, Xiaoyong1,2; Li, You1,2; Cao, Hongying1,2 |
| 刊名 | ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 27页码:100607 |
| 关键词 | Multidimensional analytical framework Machine learning algorithms Polycyclic aromatic hydrocarbon Heterogeneity influences Interaction effects |
| ISSN号 | 2666-4984 |
| DOI | 10.1016/j.ese.2025.100607 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Industrial polycyclic aromatic hydrocarbons (PAHs) pollution threatens soil ecosystems worldwide, posing persistent risks due to their toxicity and intricate transport dynamics. In steelworks, a major PAH emitter, contaminant distribution arises from multifaceted interactions between production activities and geological features, complicating the elucidation of underlying mechanisms. Previous studies have largely overlooked the inherent heterogeneity in these influences, focusing instead on global relationships that may bias assessments of pollution drivers and PAH migration. Here we show heterogeneity, nonlinearity, and multifactor interactions in PAH contamination at a steelworks site using a multidimensional framework that integrates machine learning and spatial analysis. Applied to 3339 soil samples and nine influencing factors, the framework reveals distance to production facilities as the dominant driver, with a 60-m impact radius; production factors exert stronger effects on 2-3-ring PAHs than on 4-6-ring PAHs, particularly in deeper soil layers at depths of 9-20 m. Soil moisture and clay content synergistically control PAH mobility across strata, elevating the framework's explanatory power from 0.5 to 0.9 and enabling precise delineation of dynamics. This modular approach not only advances mechanistic insights into industrial PAH pollution but also provides scalable guidance for targeted prevention and remediation strategies across diverse contaminated sites. (c) 2025 Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| URL标识 | 查看原文 |
| WOS关键词 | PAHS ; POLLUTION ; CLAYS ; IRON ; AIR |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001545676600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215623]  |
| 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 | Li, You |
| 作者单位 | 1.Beijing Key Lab Environm Damage Assessment & Remed, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Hou, Yixuan,Liao, Xiaoyong,Li, You,et al. Heterogeneity, nonlinearity, and multifactor interactions of polycyclic aromatic hydrocarbons in steelworks soils[J]. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY,2025,27:100607. |
| APA | Hou, Yixuan,Liao, Xiaoyong,Li, You,&Cao, Hongying.(2025).Heterogeneity, nonlinearity, and multifactor interactions of polycyclic aromatic hydrocarbons in steelworks soils.ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY,27,100607. |
| MLA | Hou, Yixuan,et al."Heterogeneity, nonlinearity, and multifactor interactions of polycyclic aromatic hydrocarbons in steelworks soils".ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 27(2025):100607. |
入库方式： OAI收割
来源：地理科学与资源研究所
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