Hydrogeochemical analysis and evaluation of surface water quality of Pratapgarh district, Uttar Pradesh, India

Tiwari, Ashwani Kumar; Singh, Abhay Kumar; Singh, Amit Kumar; Singh, Madhulika

doi:10.1007/s13201-015-0313-z

Cited by 132 publications

(59 citation statements)

References 31 publications

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“…The turbidity is one of the important physical parameters for water quality, defining the presence of suspended solids in water and causes the muddy or turbid appearance of water body (Tiwari et al 2015). In the present study area, the turbidity was found varied between the borehole and spring water sources (Fig.…”

Section: Turbiditymentioning

confidence: 69%

“…The general increase of pH in a sedimentary terrain is related to weathering of plagioclase feldspar in sediments. This is aided by dissolved atmospheric carbon dioxide resulting in the release of sodium and calcium, which progressively increases pH and alkalinity of the groundwater (Venkatramanan et al 2013). The water from the borehole groundwater sources can also easily corrode the water piping due to the acidic nature of the water.…”

Section: Spatial Variations In the Physico-chemical Characteristics Omentioning

confidence: 99%

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Assessment of physico-chemical quality of borehole and spring water sources supplied to Robe Town, Oromia region, Ethiopia

et al. 2016

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The study was carried out to find the physicochemical water quality of borehole and spring water supplied to Robe Town. For this study, a total of six water samples were collected from three borehole and three spring water sources. The analyses for 14 physico-chemical parameters, pH, turbidity, electrical conductivity, total dissolved solids, total suspended solids total hardness cations (Ca 2? , Mg 2? ), anions (NO 2 -, NO 3 -, SO 4 2-and PO 4 3-) and heavy metals (Fe and Mn), were done in the laboratory by adopting standard procedures suggested by the American Public Health Association (APHA). Descriptive statistics were used to describe data, while Pearson correlation was used to determine the influences of the physico-chemical variables. The single factor analysis of variance (t test) was used to determine possible differences between the borehole and spring water, while means plots were used for further structure detection. From the total samples analyzed, most of the samples comply with the water quality guidelines of Ethiopian limit, WHO and U.SEPA. The pH of the water samples from borehole groundwater source was found to be slightly acidic and bove the maximum permissible limit (MPL). High concentration of Fe and Mn that exceeds the MPL set by WHO was found in the three boreholes. The spring water sources were found to be better for drinking than borehole water sources.

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Section: Turbiditymentioning

confidence: 69%

Section: Spatial Variations In the Physico-chemical Characteristics Omentioning

confidence: 99%

Assessment of physico-chemical quality of borehole and spring water sources supplied to Robe Town, Oromia region, Ethiopia

et al. 2016

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“…Water quality was also studied in different areas of the world by Dhamodharan et al (2016) [10], Li et al (2016) [11], Nagaraju et al (2016) [12], Kumar et al (2017) [13], and Tiwari et al (2017) [14].…”

Section: Introductionmentioning

confidence: 99%

Health Risk Assessment on Heavy Metals Ingestion through Groundwater Drinking Pathway for Residents in an Oil and Gas Producing Area of Rivers State, Nigeria

Raimi¹,

Omidiji²,

Nimisngha³

et al. 2018

OJOGas

193

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In the study, health risk assessment on heavy metals ingestion was presented through the groundwater drinking pathway for residents in an oil and gas producing area of Rivers State, Nigeria. The level of the ground water pollution was examined, the quality of the borehole and the well water was assessed and the quality of the ground water pathway for the resident in the oil and gas producing area was determined and compared with the national and international standards for the drinking water. This study adopted both the field and laboratory experimental analysis of physical and chemical parameters. Water samples were analyzed for Physico-chemical parameters following acceptable methods to determine the compliance, and the results were analyzed according to drinking water guidelines. Interestingly, the results show that the ground water contained high amounts of turbidity (21.5 NTU, 23.00 NTU and 19.0 NTU in the borehole water and well water), iron (5.3 mg/L in the ground water and 6.98 mg/L in the borehole water) and pHs of all water samples were acidic in the study area. These results show that ground waters including the borehole and the well waters of the study area had acquired reasonable levels of pollution. Whereas, other values were found to be lower or above and corHow to cite this paper: Olalekan, R.M.,

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“…Thus, WQI can be used as a powerful tool to get overall information and a comprehensive summary of environmental performance on water quality in a readily explicit form that can be utilized by administrators, decision makers and people in an understandable pattern [7]. Further, WQI is neither a replacement to the detailed analysis of environmental monitoring and modeling, nor should it be the only tool for the management of water bodies.…”

Section: Introductionmentioning

confidence: 99%

Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India

Nathan¹,

Saravanane²,

Sundararajan³

2017

GEP

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With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultaneously within the same campus at Puducherry in India. Broadly the objective of the study is to apply and compare Artificial Neural Network (ANN) and Multi Linear Regression (MLR) models on groundwater quality applying Canadian Water Quality Index (CWQI). Totally, 1065 water samples from 68 bore wells were collected for two years on monthly basis and tested for 17 physio-chemical and bacteriological parameters. However the study was restricted to the pollution aspects of 10 physio-chemical parameters such as EC, TDS, TH,, Mg 2+ and K + . As there is wide spatial variation (2 to 3 km radius) with ground elevation (more than 45 m) among the bore wells it is appropriate to study the groundwater quality using Multivariate Statistical Analysis and ANN. The selected ten parameters were subjected to Hierarchical Cluster Analysis (HCA) and the clustering procedure generated three well defined clusters. Cluster wise important physiochemical attributes which were altered by MSW and SWW operations, are statistically assessed. The CWQI was evolved with the objective to deliver a mechanism for interpreting the water quality data for all three clusters. The ANOVA test results viz., F-statistic (F = 134.55) and p-value (p = 0.000 < 0.05) showed that there are significant changes in the average values of CWQI among the three clusters, thereby confirming the formation of clusters due to anthropogenic activities. The CWQI simulation was performed using MLR and ANN models for all three clusters. Totally, 1 MLR and 9 ANN models were considered for simulation. Further the performances of ten models were compared using R 2 , RMSE and MAE (quantitative indicators). The analyses of the results revealed that both MLR and ANN models were fairly good in pre- 100dicting the CWQI in Clusters 1 and 2 with high R 2 , low RMSE and MAE values but in Cluster 3 only ANN model fared well. Thus this study will be very useful to decision makers in solving water quality problems.

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Hydrogeochemical analysis and evaluation of surface water quality of Pratapgarh district, Uttar Pradesh, India

Cited by 132 publications

References 31 publications

Assessment of physico-chemical quality of borehole and spring water sources supplied to Robe Town, Oromia region, Ethiopia

Assessment of physico-chemical quality of borehole and spring water sources supplied to Robe Town, Oromia region, Ethiopia

Health Risk Assessment on Heavy Metals Ingestion through Groundwater Drinking Pathway for Residents in an Oil and Gas Producing Area of Rivers State, Nigeria

Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India

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