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首页> 外文期刊>Journal of Water Resource and Protection >The Monte Carlo-Based Uncertainty Health Risk Assessment Associated with Rural Drinking Water Quality
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The Monte Carlo-Based Uncertainty Health Risk Assessment Associated with Rural Drinking Water Quality

机译:基于蒙特卡洛的不确定性健康风险评估与农村饮用水质量的关系

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In this study, Triangular Fuzzy-number of the Fuzzy Set Theory was introduced to reform parameters of those previous health risk assessment (HRA) models, Monte Carlo simulation parameter was applied to lower the randomness and fuzziness of the HRA system, and the Monte Carlo-United States Environmental Protection Agency (MC-EPA) model was employed to evaluate the health risk associated with water quality (HRWQ), so as to solve the uncertainty HRA associated with rural drinking water quality. Results showed that the water in Mingshan was contaminated mainly by Cr(VI), nitrate, fluoride and Fe. The health risk primarily embodied in the carcinogenic risk (CR) caused by Cr(VI) that generally exceeds the limit while little non-carcinogenic toxic effected presents. However, non-carcinogenic risk (NCR) in some water resources was high, exceeding the limit “1”. The results revealed the health risk level of the water quality and the health risk degree caused by the pollutants, providing scientific support for the management of the HRWQ of the WR. It also indicated the significance of MC-EPA model’s application.
机译:在这项研究中,引入了模糊集理论的三角模糊数来改革那些先前的健康风险评估(HRA)模型的参数,应用蒙特卡罗模拟参数来降低HRA系统的随机性和模糊性,以及-美国环境保护局(MC-EPA)模型用于评估与水质相关的健康风险(HRWQ),以解决与农村饮用水水质相关的HRA不确定性。结果表明,明山水主要被六价铬,硝酸盐,氟化物和铁污染。健康风险主要体现在六价铬(Cr)引起的致癌风险(CR)中,该风险通常超过限值,而几乎没有非致癌毒性作用。但是,某些水资源的非致癌风险很高,超过了极限“ 1”。研究结果揭示了水质对健康的危害程度和污染物造成的健康危害程度,为西区水质监测中心的管理提供了科学依据。它还表明了MC-EPA模型的应用意义。

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