Hydro-geochemical analysis based on entropy and geostatistics model for delineation of anthropogenic ground water pollution for health risks assessment of Dhenkanal district, India

Naik, Manas Ranjan; Barik, Manas Ranjan; Prasad, Kriteshwar; Kumar, Ajay; Verma, Akshaya Kumar; Sahoo, Sunil Kumar; Jha, Vivekanand; Sahoo, Naresh Kumar

doi:10.1007/s10646-021-02442-1

Cited by 17 publications

(16 citation statements)

References 41 publications

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“…The level of chloride ranged from 16 to 272 mg/L. The chloride concentration is very similar to that reported in the literature, for example, 11.2–166.6 mg/L (Ji et al., 2020) and 12.5–391 mg/L (Naik et al., 2021b). The content of chloride in 98.07% of the collected groundwater samples was less than the WHO's acceptable limit of 250 mg/L (WHO, 2011).…”

Section: Resultssupporting

confidence: 84%

“…Models of geostatistics’ inverse distance weighting is a fast, deterministic, and precise local interpolator that has been commonly used to investigate water quality metrics and their spatial variation (Naik et al., 2021b). Although assessing the water quality characteristics that determine groundwater quality is an important statistical technique, the spatial distributions of these parameters are crucial for decision‐making in every given jurisdiction.…”

Section: Introductionmentioning

confidence: 99%

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Hydrogeochemical analysis and geospatial modeling for delineation of groundwater pollution and human health risks assessment of Cuttack district, India

Naik

Barik

Jha

et al. 2021

Environmental Quality Mgmt

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In this study, the spatial distribution of fluoride, uranium, and associated water quality parameters in the drinking water of the Cuttack district, Odisha, India, has been analyzed. A total of 104 groundwater samples were collected and analyzed. The experimental data were analyzed by statistical techniques and the universal inverse distance weighting model. The pH of the collected groundwater samples is mainly regulated by the presence of HCO 3 − alkali species. The fluoride concentrations in 34.6% of the samples exceeded the Bureau of Indian Standards' acceptable limit. The health risk assessment was conducted as per guidelines of the U.S. Environmental Protection Agency.The noncarcinogenic health risk of fluoride is the maximum and is followed by nitrate.Almost 56.73% of water samples are classified under the noncarcinogenic health risk category, and 1.9% of samples exhibit a carcinogenic health risk for both adults and children. The noncarcinogenic health risk for children is higher than for adults. pH was positively correlated with fluoride with a correlation coefficient of 0.287, which indicated that the higher pH augmented the displacement of fluoride ions from the mineral surface. HCO 3 − and Ca 2+ are moderately correlated with a correlation coefficient of 0.372, but HCO 3 − is negatively correlated with Mg 2+ (r = −0.049), indicating that calcite dissolution and/or precipitation is much higher than dolomite.

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Section: Resultssupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Hydrogeochemical analysis and geospatial modeling for delineation of groundwater pollution and human health risks assessment of Cuttack district, India

Naik

Barik

Jha

et al. 2021

Environmental Quality Mgmt

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“…Nitrate (NO 3 -) is the most broadly mentioned groundwater contaminant, and it is caused primarily by the wide use of fertilizers (Naik et al 2021a;Elisante and Muzuka 2017;Rezaei et al 2017). Consumption of NO 3polluted water for an extended period results in gastric cancer, multiple sclerosis, major thyroid issues, a blue baby syndrome, and a reduction in oxygen-carrying capacity of blood when the quantity surpasses 45 mg/L (Ahada et al 2018;Tian and Wu 2019;Li et al 2022;Ji et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Other techniques like, the fuzzy logic model (Kamrani et al 2016), analytic hierarchy process (Hosseinimarandi et al 2014), set pair analysis model (Feng et al 2014), the matter-element extension technique (Li et al 2016a) and the multivariate approach (Ahada and Suthar 2017) address many aspects without defining the water contaminant ranks. The correlation of two samples with the exact rank can be revealed by classification methods like the entropy-weighted water quality index (EWQI), offering a better tool for water quality management (Naik et al, 2021a;Egbueri et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Sabinaya

Mahanty

Lhamo

et al. 2023

Preprint

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There are several water quality issues with groundwater in India, including fluoride and nitrate, which are all harmful to human health. In the current study, 14 distinct hydrochemical parameters were examined in a total of 76 groundwater samples collected from the Jajpur district of Odisha India. Nearly 36.8% and 11.84% of the samples had F- and NO3- values over the WHO permissible limit. The entropy-weighted water quality index (EWQI), the fixed-weight groundwater quality index (GWQI), principal component analysis (PCA) factor (or rotational factor) loading based water quality index (PCWQI) were employed. The four different water quality indices rated about 65.79± 4.68%, 33.55± 3.95%, and 0.66 ±0.76% of the samples as "Excellent," "Good," or "Medium" quality, with a nominal rating discrepancy of 13.15%. Across the WQI ranking, more than 86% of samples were consistently rated as excellent or good. About 38.15% samples surpassed the allowed limit for F- (hazard quotient HQ>1), posing non-carcinogenic health risks for children. Contrarily, 55.26% and 11.84% of NO3-samples, exceeding the permissible limit, and showed non-carcinogenic health risks for both children and adults. Groundwater pollution may increase as a result of some samples having substantial concentrations of NO3- and notably HCO3- ions as well as their positive interdependence. The moderate correlation between Ca2+ and HCO3- (r = 0.410) and the insignificance correlation between Mg2+ and HCO3- (r = 0.234) show that calcite dissolution is far more common than dolomite.

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“…In India, the groundwater abstraction is about 243 km 2, and abstraction meets more than 50% of urban water demand, about 62% of irrigation requirements, and about 85% of rural drinking supply [2]. The number of wells, such as diesel and electric pumps, has increased considerably since the 1970s after introducing the green revolution [10][11][12][13]. In many parts of India, groundwater resources are decreasing rapidly [14][15][16][17][18][19] due to irrigation and change in monsoon precipitation pattern [20,21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the groundwater quality index (GWQI) and the human health risk (HHR) on fluoride concentration in Namakkal district, South India

Karuppaiah¹,

Duraisamy²,

Kaliyan³

2022

ijceae

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This research aims to determine the health consequences of fluoride contamination of groundwater in the Namakkal region in south India using the groundwater quality index (GWQI). Study area latitude and longitude: 11° 00' and 11° 30' in the north, and 77° 45' and 78° 15' in the east. Statewide, it is among the largest districts in the state. The study region occupies an area of 3406.37 km2. The geology of the studied area is mainly based on the Archaean crystalline and metamorphic complex. The district's major aquifer systems are composed of crystalline rocks that are weathered and fractured and of colluvial deposits. Alluvium and colluvium are examples of porous formations in the cross-section. Only the main river channels have alluvial deposits. The phreatic properties of groundwater Depending on the topography, these aquifers may reach 5 m saturation thickness. Groundwater samples were obtained from 58 bore well sites across the study area during the North-East Monsoon (NEM) of 2015. pH concentrations in suitable drinking water regions during the seasons assist in limiting the availability of groundwater for drinking purposes. TDS are an important factor in determining water suitability for various purposes. The groundwater sample in the study area shows cation domination in ascending order of Na+ > Ca2+ > Mg2+ > K+ due to the dissolution of aquifer minerals in rainfall in the study area. In the NEM seasons, rock dominance and anthropogenic contributions to higher Na+ > Mg2+ > Ca2+ > K+ values. Fluoride concentration differentiates into three groups such as < 0.5 indicates low risk, 0.5 to 1.5 indicates moderate risk, and > 1.5 means high risk. More than 2 fluoride implies very high risk, whereas fluoride in the range of 1.5 to 2.24 suggests a very high risk. The appraisal of non-carcinogenic risk was done to stress the health issues that succeed due to the intake and dermal contact of drinking water in the Namakkal district. The percentage of risk HQ >1 shows that 48 men groundwater samples, followed by 46 groundwater samples women and 30 groundwater samples children, constitute possible health hazards. Overall, health risk estimation results showed that all the groundwater samples have surpassed the permissible limit of HQ <1 for children.

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Hydro-geochemical analysis based on entropy and geostatistics model for delineation of anthropogenic ground water pollution for health risks assessment of Dhenkanal district, India

Cited by 17 publications

References 41 publications

Hydrogeochemical analysis and geospatial modeling for delineation of groundwater pollution and human health risks assessment of Cuttack district, India

Hydrogeochemical analysis and geospatial modeling for delineation of groundwater pollution and human health risks assessment of Cuttack district, India

Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks

Evaluation of the groundwater quality index (GWQI) and the human health risk (HHR) on fluoride concentration in Namakkal district, South India

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