Hidden threats beneath: uncovering the bio-accessible hazards of chromite-asbestos mine waste and their impacts on rice components via multi-machine learning algorithm.

IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Sonali Banerjee, Saibal Ghosh, Jyoti Prajapati, Pradip Bhattacharyya
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引用次数: 0

Abstract

The chromite-asbestos mining leaves behind tonnes of toxic waste, contaminating nearby agricultural fields with potentially toxic elements (PTEs). Over time, wind and water erosion spread these pollutants, severely impacting the ecosystem, food chain, and human health. This study evaluates the bioaccessible (stomach and intestinal phases) and leachable forms of PTEs, emphasizing the health and dietary risks associated with PTE pollution in this region. The study result indicates that the leachable and bio-accessible PTEs concentrations in agricultural soil, mainly Cr and Ni, were higher in zone 1 (mine tailings dumping area) and zone 2 (tailings contaminated soil) than zone 3 (uncontaminated soil). PTEs content in rice parts, mainly in boiled rice, showed moderate risk in the SAMOE model from Cr (0.011) and Ni (0.013) while in rice (without husk), it indicated high (class 5) dietary risk. The Fuzzy-TOPSIS, artificial neural network, and Monte-Carlo simulation models all demonstrated that Cr was the major contributor to anthropogenic risk. Compared to adults (5.08E-05), children (1.88E-03) were more vulnerable to total carcinogenic risk via ingestion pathway. Machine learning methods have been implemented to forecast the effects of leachable PTEs on soil-rice systems and possible health hazards associated with consuming food from the chromite-asbestos waste-contaminated zone. The survey-based Fuzzy-DEMATEL technique also showed that consumption of starch and cooked rice were the most crucial factors influencing the population's health risk. Overall, the implications of the statistical model may aid in assessing potential health hazards and enhancing regulations for ecosystem preservation.

隐藏的威胁:通过多机器学习算法揭示铬石棉矿山废弃物的生物可及性危害及其对水稻成分的影响。
铬石棉采矿留下了数吨有毒废物,污染了附近的农田,其中含有潜在有毒元素(pte)。随着时间的推移,风和水的侵蚀会传播这些污染物,严重影响生态系统、食物链和人类健康。本研究评估了PTE的生物可及性(胃和肠阶段)和可浸出形式,强调了该地区PTE污染相关的健康和饮食风险。研究结果表明,1区(矿山尾矿排土区)和2区(尾矿污染土壤)农业土壤中可浸出和生物可达PTEs浓度均高于3区(未污染土壤),主要为Cr和Ni。在SAMOE模型中,Cr(0.011)和Ni(0.013)对大米部分(主要是煮熟的大米)的pte含量具有中等风险,而在大米(不带壳)中,pte含量具有高(5类)的膳食风险。Fuzzy-TOPSIS、人工神经网络和蒙特卡罗模拟模型均表明,Cr是人为风险的主要贡献因子。与成人(5.08E-05)相比,儿童(1.88E-03)更容易通过摄入途径发生总致癌风险。已经采用机器学习方法来预测可浸出的pte对土壤-水稻系统的影响,以及与食用来自铬石棉废物污染区的食物有关的可能的健康危害。基于调查的Fuzzy-DEMATEL技术还显示,淀粉和米饭的消费是影响人群健康风险的最关键因素。总的来说,统计模型的含义可能有助于评估潜在的健康危害和加强生态系统保护的法规。
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来源期刊
Environmental Geochemistry and Health
Environmental Geochemistry and Health 环境科学-工程:环境
CiteScore
8.00
自引率
4.80%
发文量
279
审稿时长
4.2 months
期刊介绍: Environmental Geochemistry and Health publishes original research papers and review papers across the broad field of environmental geochemistry. Environmental geochemistry and health establishes and explains links between the natural or disturbed chemical composition of the earth’s surface and the health of plants, animals and people. Beneficial elements regulate or promote enzymatic and hormonal activity whereas other elements may be toxic. Bedrock geochemistry controls the composition of soil and hence that of water and vegetation. Environmental issues, such as pollution, arising from the extraction and use of mineral resources, are discussed. The effects of contaminants introduced into the earth’s geochemical systems are examined. Geochemical surveys of soil, water and plants show how major and trace elements are distributed geographically. Associated epidemiological studies reveal the possibility of causal links between the natural or disturbed geochemical environment and disease. Experimental research illuminates the nature or consequences of natural or disturbed geochemical processes. The journal particularly welcomes novel research linking environmental geochemistry and health issues on such topics as: heavy metals (including mercury), persistent organic pollutants (POPs), and mixed chemicals emitted through human activities, such as uncontrolled recycling of electronic-waste; waste recycling; surface-atmospheric interaction processes (natural and anthropogenic emissions, vertical transport, deposition, and physical-chemical interaction) of gases and aerosols; phytoremediation/restoration of contaminated sites; food contamination and safety; environmental effects of medicines; effects and toxicity of mixed pollutants; speciation of heavy metals/metalloids; effects of mining; disturbed geochemistry from human behavior, natural or man-made hazards; particle and nanoparticle toxicology; risk and the vulnerability of populations, etc.
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