Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model
文献类型：期刊论文
| 作者 | Shi, Weiwei1,2; Ma, Xuepu1,2; Luo, Lingzhi1,2; Liao, Xiaoyong1; Tao, Huan1; Li, You1; Cao, Hongying1 |
| 刊名 | JOURNAL OF HAZARDOUS MATERIALS
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 503页码:141186 |
| 关键词 | Surrounding soil of the coking sites PAHs Stacking ensemble model Exposure risk assessment Scenario simulation |
| ISSN号 | 0304-3894 |
| DOI | 10.1016/j.jhazmat.2026.141186 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Coking industrial activities contribute to approximately one-quarter of soil polycyclic aromatic hydrocarbons (PAHs) pollution in the Beijing-Tianjin-Hebei region, posing risks to soil quality and human health. Highresolution, multi-site prediction remains challenging because conventional models seldom incorporate sourceexplicit drivers. Here, we developed a regional risk-mapping framework that integrates coking enterprise source strength (SBI) and modeled atmospheric deposition flux (CPES) into a stacked-ensemble learning pipeline. A total of 320 soil samples collected around 20 representative plants were used for model training and validation; the optimized model was then applied to predict & sum;PAHs within 3-km buffers of 130 coking sites across the region. We constructed three progressively enhanced covariate sets-environmental factors (EF), EF+SBI, and EF+SBI+CPES-to test performance gains and driver attribution. Incorporating SBI and CPES raised R2 from 0.41 to 0.63 and reduced RMSE from 0.42 to 0.33, while identifying distance to site, atmospheric deposition, and NDVI as dominant predictors. Operational plants had higher mean & sum;PAHs than closed plants (1028 vs 644 ng/ g). Closed plants still surpassed background levels by about 1.3 times. Scenario analysis showed a clear greening effect. In the priority management zone, increasing NDVI by 0.025 decreased the predicted mean from 541.7 ng/ g to 489.5 ng/g, halving moderately-heavily polluted farmland, and reducing the potentially exposed population by over 40 %. The source-aware framework improves accuracy and transferability of regional PAH exposure risk assessment and supports tiered, site-adjacent zoning and mitigation around industrial point sources. |
| URL标识 | 查看原文 |
| WOS关键词 | SPATIAL-DISTRIBUTION ; HEAVY-METALS ; AREAS ; CHINA ; URBAN |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001675079800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221017]  |
| 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 | Cao, Hongying |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Weiwei,Ma, Xuepu,Luo, Lingzhi,et al. Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model[J]. JOURNAL OF HAZARDOUS MATERIALS,2026,503:141186. |
| APA | Shi, Weiwei.,Ma, Xuepu.,Luo, Lingzhi.,Liao, Xiaoyong.,Tao, Huan.,...&Cao, Hongying.(2026).Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model.JOURNAL OF HAZARDOUS MATERIALS,503,141186. |
| MLA | Shi, Weiwei,et al."Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model".JOURNAL OF HAZARDOUS MATERIALS 503(2026):141186. |
入库方式： OAI收割
来源：地理科学与资源研究所
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