Comparative valuation of groundwater quality parameters in Bhojpur, Bihar for arsenic risk assessment

Maity, Sourav; Biswas, Rimi; Sarkar, Angana

doi:10.1016/j.chemosphere.2020.127398

Cited by 50 publications

(15 citation statements)

References 41 publications

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“…In addition, 64.31% of the water samples before the COVID-19 lockdown period and 85.74% of the water samples during the COVID-19 lockdown were classi ed in the "High Metal" category. Mobility and bioavailability of HMs such as Mn, Cu, and Zn increase in acidic surface waters, which causes an increase in HM concentrations (Maity et al 2020). However, most surface waters in the sampling points were classi ed as near-neutral/high-metal in both sampling periods.…”

Section: Classi Cation Of Surface Watermentioning

confidence: 99%

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Investigation of the Effects of Heavy Metal Pollution on Surface Waters Before and During the COVID-19 Lockdown Periods in Bursa, Turkey

Sari

Esen

2022

Preprint

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The first COVID-19 case in Turkey was reported on March 10, 2020, by the Ministry of Health of the Republic of Turkey. Due to the increasing number of cases, a curfew was declared on weekends as of 11–12 April 2020. Although curfews were only implemented on public holidays and weekends, there were reductions in industrial, traffic, and human activities. The restrictions and curfews implemented to prevent the spread of the COVID-19 pandemic are a unique opportunity to understand the effects of anthropogenic sources on water quality. In this study, it was aimed to determine the temporal variations of the concentration of seven heavy metals (HMs) (Fe, Mn, Cu, Al, Cr, Ni, and Zn) in surface waters before and during the COVID-19 lockdown period, and their carcinogenic and non-carcinogenic risks that may occur through digestion and dermal absorption. Surface water samples were taken from 14 different sampling points within the borders of Bursa (Turkey). HM concentrations except Ni increased at rates ranging from 7.92–83.33% during the COVID-19 lockdown period compared to before the COVID-19 lockdown period. The heavy metal pollution index and heavy metal evaluation index increased during the COVID-19 lockdown period compared to before the COVID-19 lockdown period. Also, according to the results regarding the carcinogenic risk that may occur via digestion and dermal absorption, serious risks were determined for adults and children in both periods. Generally, similar correlation coefficients were obtained in both sampling periods, and it was concluded that HMs were affected by similar sources.

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Section: Classi Cation Of Surface Watermentioning

confidence: 99%

“…In addition, with the decrease in pH, the mobility and bioavailability of many HMs increase. This situation causes a negative correlation between pH and HM concentrations (Maity et al 2020). Mn has signi cant and positive correlations with Fe, Al, and Cr in both sampling periods.…”

Section: Relationship Among Hms During the Sampling Periodmentioning

confidence: 99%

Investigation of the Effects of Heavy Metal Pollution on Surface Waters Before and During the COVID-19 Lockdown Periods in Bursa, Turkey

Sari

Esen

2022

Preprint

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“…Although WQI is widely used as an effective indicator of overall groundwater quality, it has been also modified as drinking water quality index (DWQI), water pollution index (WPI), comprehensive pollution index (CPI), irrigation water quality index (IWQI), entropy weighted water quality index (EWQI), pollution index of groundwater (PIG), composite water quality index (CWQI) and aquatic life water index (ALWI) [16,17,[19][20][21][22][23][24][25]. In addition to drinking water quality indices, irrigation water quality indices, i.e., hardness, sodium adsorption ratio (SAR), residual sodium carbonate (RSC), residual sodium bicarbonate (RSB), permeability index (PI), magnesium hazard (MH), sodium percentage (Na %), potential salinity (PS) and Kelly's ratio (KR) are used to understand the irrigation water quality [3,[26][27][28]. The results of these indices have been integrated with geographic information system (GIS) to represent spatial distribution and prioritizing the areas, which needs proper attention for groundwater management [19,22,25,28].…”

Section: Supplementary Informationmentioning

confidence: 99%

“…In addition to drinking water quality indices, irrigation water quality indices, i.e., hardness, sodium adsorption ratio (SAR), residual sodium carbonate (RSC), residual sodium bicarbonate (RSB), permeability index (PI), magnesium hazard (MH), sodium percentage (Na %), potential salinity (PS) and Kelly's ratio (KR) are used to understand the irrigation water quality [3,[26][27][28]. The results of these indices have been integrated with geographic information system (GIS) to represent spatial distribution and prioritizing the areas, which needs proper attention for groundwater management [19,22,25,28].…”

Section: Supplementary Informationmentioning

confidence: 99%

Integration of multivariate statistics and water quality indices to evaluate groundwater quality and its suitability in middle Gangetic floodplain, Bihar

2021

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This study is conducted along the middle Gangetic floodplain, to investigate the hydrogeochemical characteristics and suitability of groundwater for irrigation and human consumptions. Altogether 65 groundwater samples were collected and analyzed for major ions and water quality parameters. pH of all the samples except 1 is found > 7, which suggests alkaline aquifer condition. Groundwater samples predominately belong to Ca-Mg-HCO3 water type followed by Na-HCO3, Mg-HCO3 and Mg-SO4 water types. Hierarchical cluster analysis (HCA) combines groundwater into two distinct groups, Group 1 is found as less mineralized as the average EC value is found 625.3 μS/cm, while it is found 1375 μS/cm for Group 2. The results of correlation analysis and PCA suggest influence of natural and anthropogenic activities on groundwater. PCA extracts four major PCs which describes 71.7% of total variance. PC1 indicates influence of both lithogenic and anthropogenic activities on groundwater quality. PC2 and PC3 infer natural factors, and PC4 suggests influence of anthropogenic activities on groundwater. Exceeding concentration of F−, Fe and Mn above WHO guidelines are found as major public health concern. WQI of all except 4 groundwater samples suggests excellent to good water quality; however, 23% of the samples are not suitable based on WPI values. Irrigation indices suggest that groundwater is mostly suitable for irrigation; however, 10.7%, 12.3% and 3% samples for RSBC, MAR and KR, respectively, exceed the recommended limits and are unsuitable for irrigation. A proper management strategy and quality assurance is recommended before groundwater consumption and use in the study area.

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“…Geochemical modeling is a feasible way to further constrain the status of minerals dissolution and precipitation in the groundwater system [19]. Afterwards, groundwater quality can be assessed using mathematical and geographic information system (GIS)-based spatial analysis, based on hydrogeochemical compositions of groundwater [20][21][22]. As shown above, numerous analytical methods have been employed for clarifying the hydrogeochemical process and quality evaluation of groundwater.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Analysis and Geochemical Signatures of Shallow Groundwater in the Main Urban Area of Chongqing, Southwestern China

Chen

Tang

Jian

et al. 2020

Water

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Hydrogeochemical processes and quality assessment for shallow groundwater are pivotal issues to be solved in many regions over the world due to the easy access of shallow groundwater. In this study, eighty-six water samples were collected from shallow aquifers of Chongqing, China, during July–September 2019. Multivariate statistical techniques, major ion ratios, and geochemical modeling were integrated to investigate hydrogeochemical characteristics and controlling factors. Afterwards, groundwater quality in spatial was classified by entropy-weighted water quality index and geographic information system (GIS) spatial analysis. Groundwater samples were alkaline and possessed high total dissolved solids (TDS) values. Two-group samples were distinguished as mix cations-HCO3-SO4 (group 1) and Ca-Mg-SO4 (group 2) facies. Hydrogeochemical compositions of group 1 samples were dominated by silicate dissolution and ion exchange, while sulfate and calcite dissolution were the main factors influencing the hydrogeochemical characteristics of group 2. The overall quality of groundwater samples varied greatly from excellent quality to extremely poor quality. Group 1 samples were found with excellent and good quality and suitable for drinking purposes. Group 2 samples were all unsuitable for direct drinking purposes as the quality varied from medium to extremely poor, but were spatially limited. Groundwaters with relatively poor quality were due to dissolution of sulfate that were locally enriched in the aquifers. The new findings of this study are expected to provide the reference for future management and sustainable exploitation of groundwater in Chongqing.

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Comparative valuation of groundwater quality parameters in Bhojpur, Bihar for arsenic risk assessment

Cited by 50 publications

References 41 publications

Investigation of the Effects of Heavy Metal Pollution on Surface Waters Before and During the COVID-19 Lockdown Periods in Bursa, Turkey

Investigation of the Effects of Heavy Metal Pollution on Surface Waters Before and During the COVID-19 Lockdown Periods in Bursa, Turkey

Integration of multivariate statistics and water quality indices to evaluate groundwater quality and its suitability in middle Gangetic floodplain, Bihar

Multivariate Analysis and Geochemical Signatures of Shallow Groundwater in the Main Urban Area of Chongqing, Southwestern China

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