Assessment of groundwater geochemistry using multivariate water quality index and potential health risk in industrial belt of central Odisha, India

Naik, Manas Ranjan; Mahanty, Biswanath; Sahoo, Sunil Kumar; Jha, V. N.; Sahoo, Naresh Kumar

doi:10.1016/j.envpol.2022.119161

Cited by 55 publications

(20 citation statements)

References 69 publications

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“…Figure 4 shows the procedure of the determination of two distinct objective weights using the CRITIC [ 30 ] and Entropy [ 38 , 39 ] methods, respectively.

, the element of Evaluation Matrix X, is the measured value of the

parameter of the

water sample.…”

Section: Methodsmentioning

confidence: 99%

Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods

Wang

Xiao

Liang

et al. 2022

IJERPH

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As a numerical indicator, the pollution index of groundwater (PIG) has gained a great deal of popularity in quantifying groundwater quality for drinking purposes. However, its weight-determination procedure is rather subjective due to the absolute dependence on experts’ experience. To make the evaluation results more accurate and convincing, two improved PIG models (CRITIC-PIG and Entropy-PIG) that integrate subjective weights and objective weights were designed, and they were employed to appraise groundwater suitability for drinking purposes in the northern part of Changchun City. A total of 48 water samples (34 unconfined water samples and 14 confined water samples) with abundances of Ca2+ and HCO3− were collected and tested to obtain the data for the analyses. The results showed that 60.4%, 47.9% and 60.4% of the water samples manifested insignificant pollution and were marginally potable based on the values of the PIG, CRITIC-PIG and Entropy-PIG, respectively. Though 48% of the water samples had different evaluation results, their level difference was mostly 1, which is relatively acceptable. The distribution maps of the three sets of PIG values demonstrated that the quality of groundwater was the best in Dehui City and the worst in Nongan County. Groundwater contamination in the study area was mainly caused by the high concentrations of TDS, TH, Fe3+, F− and NO3−, which not only came from geogenic sources but also anthropogenic sources.

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“…Figure 4 shows the procedure of the determination of two distinct objective weights using the CRITIC [ 30 ] and Entropy [ 38 , 39 ] methods, respectively.

, the element of Evaluation Matrix X, is the measured value of the

parameter of the

water sample.…”

Section: Methodsmentioning

confidence: 99%

Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods

Wang

Xiao

Liang

et al. 2022

IJERPH

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“…Methods developed for objective weighting of the WQI include the entropy weight method (Naik et al, 2022), CRITIC (Zhang et al, 2020), and integrated data envelopment analysis (DEA) (Oukil et al, 2022). The different weighting methods are characterized by different priorities and reference standards.…”

Section: Introductionmentioning

confidence: 99%

An assessment of the hydrochemical characteristics and nitrate human health risks of groundwater in a semi-arid plain: A case study of western Jilin Province

Zhang

Liang

Xiao

et al. 2023

Preprint

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Groundwater is important for human survival and development, particularly in arid and semi-arid regions, such as western Jilin Province. This study aimed to evaluate the hydrochemical characteristics and nitrate human health risks of groundwater in the semi-arid plains of western Jilin Province, northwest China. The study collected of 88 and 151 phreatic and confined water samples, respectively, which were analyzed for 13 water quality indicators using statistical and graphical methods. The Combined Weighted Water Quality Index (CWQI) based on the entropy weight, Criteria Importance Though Inter-criteria Correlation (CRITIC), the coefficient of difference method, and the water quality index (WQI) was used to evaluate the water quality of the study area. The human health risk assessment (HHRA) model was used to assess the risks of nitrate to the health of humans among different age groups. The results indicate that: (1) Groundwater in the study area is weakly alkaline and the main hydrochemical types of the phreatic and confined water were HCO3−·Ca-Mg and HCO3−-Na. (2) Rock weathering was the dominant processes responsible for groundwater ions, whereas groundwater hydrochemistry was also affected by silicate weathering and cation exchange. (3) Although the quality of groundwater was generally good, 9.1% of phreatic water samples failed drinking water standards. (4) The areas in which groundwater nitrate posed a higher risk to human health are mainly in the saline-alkali lands of Qian'an, Tongyu, and Zhenlai, with 15.9% of water samples exceeded the nitrate standard for children. This study can improve the understanding of groundwater hydrochemical characteristics and human health risks in the study area and can contribute to the study of groundwater in semi-arid regions.

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“…According to estimates, 2.5% of the total amount of water is present as fresh water, with a negligible amount of that water being accessible as groundwater (Ghosh et al 2020a). Nevertheless, depending on the annual precipitation, amount of recharge, rock weathering, local geomorphology and extensive release of contaminants have worsened groundwater quality (Wagh et al 2017;Mahanty et al, 2023;Naik et al 2022). In this situation, the ongoing over-exploitation of groundwater for agricultural purposes and drinking water in dry and drought-prone areas is now of great concern (Zhu and Abdelkareem 2021).…”

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

Self Cite

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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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Assessment of groundwater geochemistry using multivariate water quality index and potential health risk in industrial belt of central Odisha, India

Cited by 55 publications

References 69 publications

Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods

Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods

An assessment of the hydrochemical characteristics and nitrate human health risks of groundwater in a semi-arid plain: A case study of western Jilin Province

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

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