中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China

文献类型:期刊论文

作者Li, Kai2,3; Guo, Guanghui2,3; Chen, Shiqi2,3; Lei, Mei2,3; Zhao, Long1; Ju, Tienan2,3; Zhang, Jinlong2,3
刊名ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
出版日期2024-12-01
卷号46期号:12页码:501
关键词Urban parks Hybrid model Potentially toxic elements Risk source apportionment
DOI10.1007/s10653-024-02273-z
产权排序1
文献子类Article
英文摘要Identifying the source-specific health risks of potentially toxic elements (PTE) in urban park soils is essential for human health protection. However, previous studies have mostly focused on the deterministic source-specific health risks, ignoring the health risk assessment from a probabilistic perspective. To fill this gap, we developed a hybrid model that incorporated machine learning (ML) interpretability into positive matrix factorization (PMF) and probability health risk assessment (PHRA) based on the Monte Carlo simulation. The results indicated that concentrations of soil PTEs except for Mn and Sb were significantly higher than their corresponding background values. Random forest (RF) was regarded as the best ML model to identify key drivers for As, Cd, Cr, Cu, Ni, Pb, and Zn, with R2 > 0.60, but was less effective for other soil PTEs (R2 < 0.49). Specifically, the contributions of the four potential pollution sources were mixed sources, traffic emission, fuel combustion, and building materials, with contribution rate of 24.88%, 30.56%, 28.99%, and 15.56%, respectively. Fuel combustion contributed the most to non-carcinogenic for children (39.45%), male (43.84%), and female (43.76%), and the non-carcinogenic risk could be considered negligible for human. However, building materials was the major contributor to carcinogenic risk for children (36.1%), male (44.9%), and female (43.2%). The integration of the RF model with PMF and PHRA improved the accuracy of the results by identifying and quantifying the specific sources of each soil PTE using the relative importance analysis from the RF model. The results of this study assisted in providing efficient strategies for risk management and control of soil PTEs in Beijing parks.
WOS关键词HEAVY-METALS ; RISK-ASSESSMENT ; ROADSIDE SOILS ; HEALTH-RISKS ; TOPSOIL ; CONTAMINATION ; POLLUTION ; ECOSYSTEM ; AREAS ; DUST
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources
WOS记录号WOS:001352313700016
源URL[http://ir.igsnrr.ac.cn/handle/311030/209489]  
专题资源利用与环境修复重点实验室_外文论文
通讯作者Guo, Guanghui
作者单位1.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
2.Inst Geog Sci & Nat Resources Res CAS, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Li, Kai,Guo, Guanghui,Chen, Shiqi,et al. Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2024,46(12):501.
APA Li, Kai.,Guo, Guanghui.,Chen, Shiqi.,Lei, Mei.,Zhao, Long.,...&Zhang, Jinlong.(2024).Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,46(12),501.
MLA Li, Kai,et al."Advancing source apportionment of soil potentially toxic elements using a hybrid model: a case study in urban parks, Beijing, China".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 46.12(2024):501.

入库方式: OAI收割

来源:地理科学与资源研究所

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