Human health risk identification of petrochemical sites based on extreme gradient boosting
文献类型：期刊论文
| 作者 | Wang, Meng1; Li, Xue1; Lei, Mei2; Duan, Lunbo1; Chen, Huichao1 |
| 刊名 | ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
 |
| 出版日期 | 2022-03-15 |
| 卷号 | 233页码:8 |
| 关键词 | Health risk identification Petrochemical sites Extreme Gradient Boosting |
| ISSN号 | 0147-6513 |
| DOI | 10.1016/j.ecoenv.2022.113332 |
| 通讯作者 | Chen, Huichao(hcchen@seu.edu.cn) |
| 英文摘要 | Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for petrochemical industry in China. In this work, an efficient method was developed based on extreme gradient boosting (XGBoost) algorithm for human health risk identification, which is different from the traditional health risk assessment with complicated procedures. In this methodology, an index system of 13 indicators was established from the perspective of "sources -pathways -receptors " for risk identification. The 10-fold cross validation was used to assess the generalization performance, and the accuracy, precision and recall were employed to evaluate the performance of the algorithms. Wilcoxon signed-rank test was conducted to analyze the differences between XGBoost and other models for statistical support. The results showed that XGBoost significantly presented a better performance for health risk identification over multilayer perceptron neural network with error backpropagation training (BPNN), support vector machine (SVM), gradient boosting decision tree (GBDT) and light gradient boosting machine (LightGBM), with an accuracy of 0.783. The most important features contributing to the risk identification were determined with the sequence of site location (in the industrial zone or not), site planning and production period. Great attention should be given to the petrochemical sites that are not located in the industrial zone with long production period and sensitive receptors in the health risk identification. This method has important reference significance for relevant departments to carry out soil contamination screening and health risk assessment of petrochemical sites. |
| WOS关键词 | ORGANIC-COMPOUNDS ; SOIL TEXTURE ; INDUSTRIAL ; CONTAMINATION ; ACCUMULATION ; POLLUTANTS ; MACHINE |
| 资助项目 | National Key Research and Develop-ment Program of China[2018YFC1800104] |
| WOS研究方向 | Environmental Sciences & Ecology ; Toxicology |
| 语种 | 英语 |
| WOS记录号 | WOS:000778820300001 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 资助机构 | National Key Research and Develop-ment Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/174814]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Huichao |
| 作者单位 | 1.Southeast Univ, Sch Energy & Environm, Nanjing 2100018, Peoples R China 2.Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Meng,Li, Xue,Lei, Mei,et al. Human health risk identification of petrochemical sites based on extreme gradient boosting[J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2022,233:8. |
| APA | Wang, Meng,Li, Xue,Lei, Mei,Duan, Lunbo,&Chen, Huichao.(2022).Human health risk identification of petrochemical sites based on extreme gradient boosting.ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,233,8. |
| MLA | Wang, Meng,et al."Human health risk identification of petrochemical sites based on extreme gradient boosting".ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 233(2022):8. |
入库方式： OAI收割
来源：地理科学与资源研究所
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