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Deterministic and probabilistic health risk assessment techniques to evaluate non-carcinogenic human health risk (NHHR) due to fluoride and nitrate in groundwater of Panipat, Haryana, India

机译:确定性和概率性健康风险评估技术,用于评估印度哈里亚纳邦Panipat地下水中氟化物和硝酸盐引起的非致癌性人类健康风险(NHHR)

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Human interferences have caused groundwater contamination in alluvial aquifers which subsequently affects the health of exposed population. In the present study, 74 groundwater samples from the semiarid region of Panipat district, falling under Yamuna sub-basin, India was evaluated to know the potential non-carcinogenic human health risk in local adult and child population. The major objective of the present study was to know the non-carcinogenic human health risk due to intake of fluoride and nitrate contaminated water, using two different approaches: deterministic and probabilistic (Monte Carlo simulation). The values of hazard quotient (HQ) determined by deterministic as well as probabilistic approach were nearly identical. The hazard index (HI) value of 40.8% samples was above the unity in case of adults while 69.7% samples indicated HI value greater than unity for children thus indicating children are more prone to non-carcinogenic health risk than the adult population. Sensitivity analysis was performed to identify the influence of the non-carcinogenic human health risk predictor variables for the prediction of risk and concentration factor (CF) was the most influential variable. Multivariate statistical techniques were employed to know the positive and negative relationship of fluoride and nitrate with other parameters. Results of principal component analysis/factor analysis (PCA/FA) indicated that the concentration of fluoride is controlled by the presence of calcium due to their negative correlation in groundwater samples. The hierarchical agglomerative cluster analysis (HCA) also supported the outcome of PCA/FA and both indicated anthropogenic sources of fluoride and nitrate in groundwater. (C) 2019 Elsevier Ltd. All rights reserved.
机译:人为干扰已造成冲积含水层中的地下水污染,继而影响了裸露人群的健康。在本研究中,对来自印度帕纳帕特地区半干旱地区的74个地下水样本进行了评估,这些样本属于印度亚穆纳次流域,以了解当地成人和儿童中潜在的非致癌性人类健康风险。本研究的主要目的是使用确定性和概率性(蒙特卡罗模拟)这两种不同的方法,了解由于摄入氟化物和硝酸盐污染的水而引起的非致癌性健康风险。通过确定性和概率方法确定的危险商(HQ)值几乎相同。成人的40.8%样本的危险指数(HI)高于单一性,而69.7%的样本表明儿童的HI值大于单一性,因此表明儿童比成人人群更容易产生非致癌的健康风险。进行敏感性分析以鉴定非致癌性人类健康风险预测变量对风险预测的影响,而浓度因子(CF)是最有影响力的变量。采用多元统计技术来了解氟化物和硝酸盐与其他参数的正负关系。主成分分析/因素分析(PCA / FA)的结果表明,氟化物的浓度受钙的存在控制,因为它们在地下水样品中呈负相关。层次集聚聚类分析(HCA)也支持PCA / FA的结果,并且都表明了地下水中氟化物和硝酸盐的人为来源。 (C)2019 Elsevier Ltd.保留所有权利。

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