Levels, origins and probabilistic health risk appraisal for trace elements in drinking water from Lhasa, Tibet

Peng, Shuan; Xiao, Xiao; Zou, Hongyang; Yang, Zheng; Ahmad, Umme Marium; Zhao, Yushun; Chen, Hulin; Gao, Li; Liu, Gang; Duan, Xingxing; Mao, Guozhu; Yang, Pingjian

doi:10.1007/s10653-022-01424-4

Cited by 6 publications

(2 citation statements)

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“…For the purpose of drinking, the samples with HPI values higher than 100 were considered to be polluted [33]. To carry out differentiated protection measures for groundwater, the HPI score was segmented into three grades: low (<15), medium (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and high (>30) [30].…”

Section: Hpimentioning

confidence: 99%

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Health Risk Appraisal of Trace Elements in Groundwater in an Urban Area: A Case Study of Sichuan Basin, Southwest China

Yu,

Yao,

Huang

et al. 2023

Water

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Intense anthropogenic activities pose a serious threat to groundwater quality in urban areas. Assessing pollution levels and the health risks of trace elements within urban groundwater is crucial for protecting the groundwater environment. In this study, the heavy metal pollution index (HPI) and health risk assessment were conducted to analyze trace element pollution levels and the non-carcinogenic and carcinogenic risks of groundwater resources in Sichuan Basin, SW China, based on the hydrochemical results of 114 groundwater samples. The HPI results displayed that 14.92% of groundwater samples were contaminated, primarily attributed to anthropogenic influence. The health risk assessment indicated that children faced the highest non-carcinogenic risk while adults had the highest carcinogenic risk. The Monte Carlo simulation further enhanced the reliability of the health risk model. A sensitivity analysis indicated that Pb was the most sensitive element affecting both non-carcinogenic and carcinogenic risks. The achievements of this research would provide a basis for groundwater management in urban areas.

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Section: Hpimentioning

confidence: 99%

“…Ignoring uncertainty in health risk assessment will lead to wrong results [3]. To solve this scientific problem, the Monte Carlo method was Water 2023, 15, 4286 2 of 16 adopted to calculate uncertainty, making the risk model robust [20][21][22]. Monte Carlo simulation is a widely used method due to its flexibility and high efficiency.…”

Section: Introductionmentioning

confidence: 99%