scholarly journals Water Quality Index Assessment of Groundwater in the Central Ganga Plain with Reference to Raebareli District, Uttar Pradesh, India

2020 ◽  
Vol 119 (8) ◽  
pp. 1308
Author(s):  
Saurabh Shukla ◽  
Abhishek Saxena
2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.


2018 ◽  
Vol 92 (1) ◽  
pp. 76-82 ◽  
Author(s):  
Abhishek Kumar Chaurasia ◽  
H. K. Pandey ◽  
S. K. Tiwari ◽  
Ram Prakash ◽  
Prashant Pandey ◽  
...  

2017 ◽  
Vol 5 (4) ◽  
pp. 572-576
Author(s):  
ManojKumar Gupta ◽  
◽  
UmeshKumar Mishra ◽  
Praveen Kumar ◽  
Dharmendra Kumar ◽  
...  

Author(s):  
Runit Isaac ◽  
Shaziya Siddiqui

Abstract In this research, Water Quality Index and Multivariate Statistics Techniques was carried out on fourteen water quality parameters collected quarterly (four times/year) from nine water sources in Agra, Uttar Pradesh, India for one year (May 2019- April 2020). The Water Quality Parameters (WQP) included are the concentration of hydrogen ion (pH), Electrical conductivity, Turbidity, Total dissolved solids (TDS), Total Hardness, Total Alkalinity, Calcium, Sulphate, Chloride, Magnesium, Iron, COD, DO, and BOD. The Water sample collected shows that the mean values of physicochemical parameters are in the range of WHO and BIS except for Hardness in summer (1,680 mg/L); monsoon (832.22 mg/L); winter (1,876.66 mg/L); spring (1,535.55 mg/L), TDS in summer (1,000.33 mg/L); monsoon (683.44 mg/L); winter (1,087.66 mg/L); spring (776.66 mg/L) and sulphate (927.22 mg/L); monsoon (446.77 mg/L); winter (925.77 mg/L); spring (944.88 mg/L) which indicate the bad quality of water. The WQI values were calculated for three locations at different weather conditions. WQI values in summer, winter and spring are 630.90, 279.61, 279.91 shows that river water is not suitable for drinking purpose whereas the WQI value in monsoon is 75.89 shows that water is fit for drinking purposes due to the dilution of river water. A moderate positive correlation was observed for turbidity with total hardness, iron, total alkalinity, and sulphate. Negative Correlation was observed with pH. Moderate Correlation was seen with TDS-EC (0.608), TDS-Alkalinity (0.7794), EC-Ca (0.723) and strong was observed for BOD-DO (0.941) and Ca-Mg (0.999). Principal Component Analysis revealed that five factors were significant (eigen value > 0.5) with total variance of 39.43%–85.19% respectively. The ICP-MS study of water sample from point source indicate the presence of Ni2+, Cr6+, Co2+, Mn2+, Cu2+, Zn2+ ions at higher concentrations.


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