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DOI10.1016/j.jclepro.2021.129590
Combined risk assessment method based on spatial interaction: A case for polycyclic aromatic hydrocarbons and heavy metals in Taihu Lake sediments
Li, Yan; Wang, Xiaoping; Gong, Ping
通讯作者Gong, P (通讯作者)
发表日期2021
ISSN0959-6526
EISSN1879-1786
卷号328
英文摘要Owing to the complexity of sources and nonlinear dose-response relationship, evaluating the combined risks of pollutants in lakes remains a considerable challenge. In this study, we developed chose a non-parametric risk assessment method with source diagnostic and spatial interactions (LISA analysis) between the pollutants was developed for zoning the risks of combined pollution. Taihu Lake was chosen as the studied region, and the heavy metals and polycyclic aromatic hydrocarbons (PAHs) in the sediments were observed to test this method. Results showed that the developed method distinguished the hot spots of pollution in the eastern and northern Taihu Lake, and more than 50% pollutants were attributed to the combustion of petroleum fossil fuels. The main risk control area for heavy metals is mostly distributed in western Taihu Lake, accounting for 22.5% of the total area, while that for PAHs accounts for the smallest proportion, at only 3.4% of the total area. This study shows that the spatial interaction between pollutants could be a useful tool for evaluating the combined risks of pollutants, which can also provide better decision support for lake risk management.
关键词SOIL-RICE SYSTEMSWATER-QUALITYPOLLUTIONURBANPAHSCONTAMINATIONASSOCIATIONPATHWAYSCHINASCALE
英文关键词Lake sediments; LISA analysis; Heavy metals; PAHs; Risk zoning
语种英语
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号WOS:000808098200020
来源期刊JOURNAL OF CLEANER PRODUCTION
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/260246
推荐引用方式
GB/T 7714
Li, Yan,Wang, Xiaoping,Gong, Ping. Combined risk assessment method based on spatial interaction: A case for polycyclic aromatic hydrocarbons and heavy metals in Taihu Lake sediments[J]. 中国科学院青藏高原研究所,2021,328.
APA Li, Yan,Wang, Xiaoping,&Gong, Ping.(2021).Combined risk assessment method based on spatial interaction: A case for polycyclic aromatic hydrocarbons and heavy metals in Taihu Lake sediments.JOURNAL OF CLEANER PRODUCTION,328.
MLA Li, Yan,et al."Combined risk assessment method based on spatial interaction: A case for polycyclic aromatic hydrocarbons and heavy metals in Taihu Lake sediments".JOURNAL OF CLEANER PRODUCTION 328(2021).
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