Application of Monte Carlo simulation for carcinogenic and non-carcinogenic risks assessment through multi-exposure pathways of heavy metals of river water and sediment, India

Gupta, Suyog; Gupta, Sunil Kumar

doi:10.1007/s10653-022-01421-7

Cited by 22 publications

(2 citation statements)

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“…Indeed, the Hazard Quotient (HQ) primarily concentrates on non-cancer health effects, gauging the estimated exposure against a predetermined safe threshold level. Conversely, the Excess Lifetime Cancer Risk (ELCR) is specifically designed to assess the supplementary lifetime risk of developing cancer due to exposure to a carcinogenic substance 58 . The ELCR is calculated using the Average Daily Dose (ADD) and the Cancer Slope Factor (CSF).…”

Section: Resultsmentioning

confidence: 99%

Prediction of human health risk and disability-adjusted life years induced by heavy metals exposure through drinking water in Fars Province, Iran

Radfard,

Hashemi,

Baghapour

et al. 2023

Sci Rep

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Exposure to heavy metals in contaminated drinking water is strongly correlated with various cancers, highlighting the burden of disease. This study aimed to assess the non-carcinogenic and carcinogenic risks associated with exposure to heavy metals (As, Pb, Cd, and Cr) in drinking water of Fars province and evaluate the attributed burden of disease. Non-carcinogenic risk assessment was performed using the hazard quotient (HQ) method, while the carcinogenic risk assessment utilized the excess lifetime cancer risk approach. The burden of disease was evaluated in terms of years of life lost, years lived with disability, and disability-adjusted life years (DALY) for three specific cancers: skin, lung, and kidney cancer. The average drinking water concentrations of arsenic (As), cadmium (Cd), chromium (Cr) and lead (Pb) were determined to be 0.72, 0.4, 1.10 and 0.72 μg/L, respectively. The total average HQ of heavy metals in drinking water in the study area were 0.127, 0.0047, 0.0009 and 0.0069, respectively. The average ILCRs of heavy metal in the entire country were in the following order: 1.15 × 10−5 for As, 2.22 × 10−7 for Cd and 3.41 × 10−7 for Cr. The results also indicated that among the various counties analyzed, Fasa experiences the greatest burden of disease in terms of DALYs, with a value of 87.56, specifically attributed to cancers caused by exposure to arsenic. Generally, it can be said that the burden of disease is a critical aspect of public health that requires comprehensive understanding and effective intervention.

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Section: Resultsmentioning

confidence: 99%

Prediction of human health risk and disability-adjusted life years induced by heavy metals exposure through drinking water in Fars Province, Iran

Radfard,

Hashemi,

Baghapour

et al. 2023

Sci Rep

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“…If the CR/TR is in the range of 1 × 10 −6 to 1 × 10 −4 , adverse carcinogenic risks are acceptable or tolerable, and CR/TR > 1 × 10 −4 indicates that cancer may appear 1 in 10 000 people for their exposure to carcinogenic risks in a lifetime. 26,52,53 The following eqn ( 6)-( 9) showed the calculation methods: [54][55][56] HQ ¼ ADD ing=inh=der RfD (6)…”

Section: Health Risk Assessmentmentioning

confidence: 99%

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Wang

Liu

2023

RSC Adv.

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Monte Carlo-based probabilistic risk assessment for cement workers exposed to heavy metals in cement dust

Jafari,

Asadyari,

Moutab Sahihazar

et al. 2023

Environ Geochem Health

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Application of Monte Carlo simulation for carcinogenic and non-carcinogenic risks assessment through multi-exposure pathways of heavy metals of river water and sediment, India

Cited by 22 publications

References 100 publications

Prediction of human health risk and disability-adjusted life years induced by heavy metals exposure through drinking water in Fars Province, Iran

Prediction of human health risk and disability-adjusted life years induced by heavy metals exposure through drinking water in Fars Province, Iran

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Monte Carlo-based probabilistic risk assessment for cement workers exposed to heavy metals in cement dust

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