A spatial source-oriented and probability-based risk-assessment framework for heavy metal and PAH contamination of urban soils in Guangzhou, China
文献类型： 外文期刊
作者： Chen, Lian 1 ; Xie, Minghe 2 ; Li, Gaocong 3 ; Lin, Sen 1 ; Wang, Dan 1 ; Li, Zhiyi 1 ; Wang, Yuan 1 ; Wang, Zhenjiang 1 ;
作者机构： 1.Guangdong Acad Agr Sci, Sericultural & Agrifood Res Inst, 133 Dongguan Zhuang Yiheng Rd, Guangzhou 510610, Guangdong, Peoples R China
2.South China Agr Univ, Coll Engn, Guangzhou 510640, Guangdong, Peoples R China
3.Guangdong Ocean Univ, Coll Elect Informat Engn, Zhanjiang 524088, Guangdong, Peoples R China
4.Minist Agr & Rural Affairs, Key Lab Urban Agr South China, Guangzhou 510610, Guangdong, Peoples R China
关键词： Source-sink; Probability-based; Source-oriented; Health risk assessment; Co-contamination
期刊名称：JOURNAL OF HAZARDOUS MATERIALS （ 影响因子：11.3； 五年影响因子：12.4 ）
ISSN： 0304-3894
年卷期： 2025 年 482 卷
页码：
收录情况： SCI
摘要： The identification and quantification of high-risk hotspots for soils contaminated by heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) remains a challenge due to their various sources and heterogeneous sink properties in urban soil systems. In this study of 221 soil samples from Guangzhou, China, a novel framework combining Bivariate local Moran's I (BLMI), positive matrix factorization (PMF), human health risk (HHR) assessment, Monte Carlo simulation (MCS), and a newly developed spatial risk model were proposed to conduct probabilistic source-oriented HHR assessment, high-risk hotspot quantification, and risk formation mechanism elaboration. Study results indicate that traffic emissions are the largest contributor of HMs (47.6 %) and PAHs (40.2 %), but not always the largest contributor of HHR. Agricultural or urban green-space management activities of HM, and mixed source of PAH, are the largest contributors of non-carcinogenic risk (NCR, 48.7 % and 51.1 %, respectively), while mixed source of HM and traffic emissions of PAH are the largest contributors of carcinogenic risk (CR, 53.9 % and 71.2 %, respectively). The probability of risk exceeding safe threshold levels is<5.0 % for NCR and > 90.0 % for CR. High-risk hotspots were identified in the mid-west and south of the city, making up 15.0 % of the total Guangzhou area. Risk mechanisms were deduced from the spatial heterogeneity and inter-dependence of emission sources and soil sink, based on source-sink theory. Our findings provide a new framework for precisely identifying risk sources and target areas, thereby alleviating HHR associated with cooccurring HMs and PAHs in urban soil systems.
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