An integrated method of health risk assessment based on spatial interpolation and source apportionment
An integrated method of health risk assessment based on spatial interpolation and source apportionment
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基于空间插值和源解析的健康风险综合评估方法
DOI:
10.1016/j.jclepro.2020.123218
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发表时间:
2020-12-10
影响因子:
11.1
通讯作者:
Lin, Qianguo
中科院分区:
文献类型:
--
作者:
Duan, Yaxiao;Zhang, Yimei;Lin, Qianguo
Soil heavy metals (SHMs) could cause environmental pollution, which had attracted great concern in China. In this study, a method was developed by integrating health risk assessment based on spatial interpolation and source apportionment (SSRA) to evaluate potential hazards of SHMs for human health. The optimized spatial interpolation provided global quality assurance for source apportionment, and quantified source contribution was introduced into health risk assessment. The six heavy metals of soil (Zn, Pb, Cd, Cr, As and Ni) from the electroplate factory in the southwest of Suzhou were investigated. The results of SSRA method were summarized as follows: (1) Ordinary kriging (OK) with R-2 and the slope (predicted value/observed value) closing 1 was more suitable for the spatial distribution of SHMs than inverse distance weighting (IDW). (2) Positive matrix factorization (PMF) showed better performance (R-2 closer to 1 and the suitable number of sources) than principal component analysis-multiple linear regressions (PCA-MLR). PMF extracted the accumulation of SHMs as traffic, natural, agricultural, atmosphere deposition and industrial sources. (3) The carcinogenic risks of As and Cr exceeded 1.0E-04, indicated that it would pose a potential risk to the human health. Moreover, higher total hazard index (THI)/carcinogenic risks (TCR) of source contribution was agriculture/industry, which accounted for 3.5E-01/2.6E-04, respectively. Control of agricultural and industrial sources could reduce hazard for residents. The integrated method of SSRA was reported, which could quantify the health risk of spatial related sources contribution and put forward competent environmental risk strategies for similar polluted area. (C) 2020 Elsevier Ltd. All rights reserved.