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Determination of priority control factors for the management of soil trace metal(loid)s based on source-oriented health risk assessment

文献类型： 外文期刊

作者： Sun, Jiaxun 1 ; Zhao, Menglu 1 ; Huang, Jingling 1 ; Liu, Yafeng 2 ; Wu, Yuying 1 ; Cai, Boya 1 ; Han, Zhiwei 1 ; Huang, Honghui 3 ; Fan, Zhengqiu 1 ;

作者机构： 1.Fudan Univ, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China

2.Anhui Acad Environm Sci, Hefei 230022, Peoples R China

3.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangdong Prov Key Lab Fishery Ecol & Environm, Guangzhou 510300, Peoples R China

4.Southern Marine Sci & Engn Guangdong Lab Guangzho, Haibin Rd, Guangzhou 511485, Peoples R China

关键词： Source apportionment; Monte Carlo simulation; Positive matrix factorization; Urban soil

期刊名称：JOURNAL OF HAZARDOUS MATERIALS （ 影响因子：14.224； 五年影响因子：12.984 ）

ISSN： 0304-3894

年卷期： 2022 年 423 卷

页码：

收录情况： SCI

摘要： Trace metal(loid)s (TMs) in soils can seriously threaten the ecological environment and human health. With the limitation of resources and costs, determining priority control factor is critical for managing soil TM pollution. To explore the pollution characteristics, source apportionment, and human health risk of TMs, a total of 209 surface soil samples were collected from Anqing City, China. Results showed that all the average values of TM con-centration, except for Cr, were higher than their corresponding background value. Using a Positive matrix factorization model coupled with Correlation analysis, four sources (including agricultural sources, atmospheric deposition sources, industrial sources, and natural sources) were identified as the determinants for the accu-mulation of soil TMs, with the contribution rates of 12.4%, 8.1%, 64.1%, and 15.4%, respectively. The assess-ment of probabilistic health risks revealed that Non-carcinogenic risks of all populations were acceptable (HI 1), while Carcinogenic risks were all at a high level (TCR 10E-04). Agricultural pollution and As were identified as priority control factors, according to the analysis results of the relationship among TMs, pollution sources and health risks. Our findings provide scientific support for decision-makers to formulate target control policies and reduce management costs of soil pollution.

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