Evaluation of water quality of Chahnimeh as natural reservoirs from Sistan region in southwestern Iran: a Monte Carlo simulation and Sobol sensitivity assessment

Kamani, Hossein; Hosseini, Alireza; Mohebi, Samaneh; Keshtkar, Mahsa; Mohammadpour, Amin; Khodadadi, Nematullah; Mohammadi, Leili; Khaneghah, Amin Mousavi

doi:10.1007/s11356-023-26879-5

Cited by 10 publications

(2 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Parameters Distribution function Values Ref. As Log-normal [0.212 ± 0.896]* 45 Cr Gamma [2.436 ± 0.125] Cd Normal [0.071 ± 0.060] Pb Normal [3.45 ± 2.61] Zn Log-normal [3.478 ± 1.295] Cu Normal (3.509 ± 2.27) Mn Weibull [2.207 ± 52.088] 46 BW Children Normal [15, 3] 47 Adults Normal [70, 7] IR Children Normal [1, 0.2] Adults Normal [2, 5] *Mean ± SD. …”

Section: Methodsmentioning

confidence: 99%

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Badeenezhad,

Soleimani,

Shahsavani

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Rapid urbanization, population growth, agricultural practices, and industrial activities have led to widespread groundwater contamination. This study evaluated heavy metal contamination in residential drinking water in Shiraz, Iran (2021). The analysis involved 80 groundwater samples collected across wet and dry seasons. Water quality was comprehensively assessed using several indices, including the heavy metals evaluation index (HEI), heavy metal pollution index (HPI), contamination degree (CD), and metal index (MI). Carcinogenic and non-carcinogenic risk assessments were conducted using deterministic and probabilistic approaches for exposed populations. In the non-carcinogenic risk assessment, the chronic daily intake (CDI), hazard quotient (HQ), and hazard index (HI) are employed. The precision of risk assessment was bolstered through the utilization of Monte Carlo simulation, executed using the R software platform. Based on the results, in both wet and dry seasons, Zinc (Zn) consistently demonstrates the highest mean concentration, followed by Manganese (Mn) and Chromium (Cr). During the wet and dry seasons, 25% and 40% of the regions exhibited high CD, respectively. According to non-carcinogenic risk assessment, Cr presents the highest CDI and HQ in children and adults, followed by Mn, As and HI values, indicating elevated risk for children. The highest carcinogenic risk was for Cr in adults, while the lowest was for Cd in children. The sensitivity analysis found that heavy metal concentration and ingestion rate significantly impact both carcinogenic and non-carcinogenic risks. These findings provide critical insights for shaping policy and allocating resources towards effectively managing heavy metal contamination in residential drinking water.

show abstract

Section: Methodsmentioning

confidence: 99%

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Badeenezhad,

Soleimani,

Shahsavani

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The growing activity of the population, growth in agricultural areas, and industrial development in the reservoir basin led to the influx of pollutants, therefore leading to negative transformations in the quality of water resources [3][4][5]. At present, numerous studies are devoted to the ecological state of surface water bodies, including the identification of water pollution sources, spatial-temporal dynamics of water hydrochemical composition, and assessment of its quality [6][7][8]).…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical Characteristics and Water Quality Assessment of Irkutsk Reservoir (Baikal Region, Russia)

Pastukhov,

Poletaeva,

Hommatlyyev

2023

Water

View full text Add to dashboard Cite

The Irkutsk Reservoir, belonging to the largest unified freshwater Baikal–Angara system, is an important source of drinking water in the region. Therefore, studies of its hydrochemical characteristics are of prime importance in deciding on the role of anthropogenic activity in water quality. The water samples were collected across the reservoir in 2007, 2012, and 2021 and then were analyzed for major ions and trace elements. The data revealed that the distribution of HCO3−, SO42−, Cl−, Ca2+, Mg2+, Na+ and K+ is stable across the reservoir. Trace element concentrations varied from 1.13 to 15.39 µg L−1 for Al, from <DL to 0.39 µg L−1 for Cr, from 0.39 to 23.12 µg L−1 for Mn, from 1.25 to 53.22 µg L−1 for Fe, from 0.005 to 0.100 µg L−1 for Co, from 0.20 to 1.98 µg L−1 for Cu, from <DL to 13.40 µg L−1 for Zn, from 0.25 to 0.48 µg L−1 for As, from 0.004 to 0.127 µg L−1 for Cd, from <DL to 0.195 µg L−1 for Sn, from <DL to 0.0277 µg L−1 for Cs, from <DL to 1.13 µg L−1 for Pb, from <DL to 0.0202 µg L−1 for Th, and from 0.27 to 0.75 µg L−1 for U. The concentrations of all major ions and trace elements in water were below the drinking water standards. CF values showed considerable and high contamination of samples with Al, Mn, Fe, Co, Cu, Cd, Sn, Pb, and Th. PLI values classified the majority of water samples as water with baseline levels of pollutants, and part of the samples was classified as either polluted or highly polluted.

show abstract

Assessing water quality and human health risk near coal mines and industrial area of Singrauli, India: special emphasis on toxic elements

Jha,

Sinha,

Mahadevappa

et al. 2024

Environ Geochem Health

View full text Add to dashboard Cite

Evaluation of water quality of Chahnimeh as natural reservoirs from Sistan region in southwestern Iran: a Monte Carlo simulation and Sobol sensitivity assessment

Cited by 10 publications

References 59 publications

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Comprehensive health risk analysis of heavy metal pollution using water quality indices and Monte Carlo simulation in R software

Hydrochemical Characteristics and Water Quality Assessment of Irkutsk Reservoir (Baikal Region, Russia)

Assessing water quality and human health risk near coal mines and industrial area of Singrauli, India: special emphasis on toxic elements

Contact Info

Product

Resources

About