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一种综合方法,用于量化煤矿区周边土壤重金属污染的生态和人体健康风险。

An integrated approach to quantify ecological and human health risks of soil heavy metal contamination around coal mining area.

机构信息

Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Hamelmalo Agricultural College, National Commission for Higher Education, Keren, P.O. Box 397, Eritrea.

Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Sci Total Environ. 2022 Mar 25;814:152653. doi: 10.1016/j.scitotenv.2021.152653. Epub 2021 Dec 23.

Abstract

Soil heavy metals harm ecological biodiversity and human health, and quantifying the risks more accurately is still obscure. In this study, a network environ analysis was applied to quantify risks between ecological communities based on control allocation and human health risk models to calculate human health exposure risks from soil heavy metals around Greenside coal mining in South Africa. Ecological and human health risks were apportioned using PMF model. Results showed assessed heavy metals (mean) exceeded local background content with a cumulative of moderately polluted using pollution load index (PLI). Total initial risk (R), the risk to biological organisms from direct soil exposure, was 0.656 to vegetation and 1.093 to soil microorganisms. Risk enters the food web via vegetation and harms the whole system. Integrated risks (initial, direct, and indirect) to vegetation, herbivores, soil microorganisms, and carnivores were 0.656, 0.125, 1.750, and 0.081, respectively, revealing that soil microorganisms are the most risk receptors. Total Hazard Index (HI) was <1 for adults (0.574) whereas >1 for children (4.690), signifying severe non-cancer effects to children. Total cancer risk (TCR) to children and adults surpassed the unacceptable limit (1.00E-04). Comparatively, Cr is a high-risk metal accounted for 63.24% (adults) and 65.88% (children) of the HI and 92.98% (adults) and 91.31% (children) of the TCR. Four sources were apportioned. Contributions to R (soil microorganisms and vegetation) from F3 (industrial), F4 (atmospheric), F2 (coal mining), and F1 (natural) were 42.20%, 24.56%, 23.55%, and 9.68%, respectively. The non-cancer risk from F3 (37.67% to adults and 38.40% to children) was dominant, and TCR to children from the sources except F1 surpassed the unacceptable limit. An integrated approach of risk quantification is helpful in managing risks and reducing high-risk pollution sources to better protect the environment and human health.

摘要

土壤重金属危害生态生物多样性和人类健康,更准确地量化风险仍然不清楚。本研究应用网络环境分析,根据控制分配和人类健康风险模型,对南非格林赛德煤矿周围土壤重金属对生态群落的风险进行量化。采用 PMF 模型对生态和人类健康风险进行分配。结果表明,评估的重金属(平均值)超过了当地背景含量,累积污染程度适中,使用污染负荷指数(PLI)。总初始风险(R),即生物直接接触土壤产生的风险,对植被为 0.656,对土壤微生物为 1.093。风险通过植被进入食物链,并危害整个系统。植被、食草动物、土壤微生物和肉食动物的综合风险(初始、直接和间接)分别为 0.656、0.125、1.750 和 0.081,表明土壤微生物是最易受风险影响的受体。成人(0.574)的总危害指数(HI)<1,而儿童(4.690)>1,表明儿童有严重的非癌症影响。儿童和成人的总癌症风险(TCR)超过不可接受的限制(1.00E-04)。相比之下,Cr 是一种高风险金属,占 HI 的 63.24%(成人)和 65.88%(儿童),占 TCR 的 92.98%(成人)和 91.31%(儿童)。分配了四个来源。F3(工业)、F4(大气)、F2(煤矿开采)和 F1(自然)对 R(土壤微生物和植被)的贡献分别为 42.20%、24.56%、23.55%和 9.68%。F3(成人 37.67%,儿童 38.40%)的非癌症风险占主导地位,除 F1 外,其他来源对儿童的 TCR 均超过不可接受的限制。风险量化的综合方法有助于管理风险和减少高风险污染源,以更好地保护环境和人类健康。

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