Assessment of groundwater quality for drinking and irrigation purposes using hydrochemical studies in Malwa region, southwestern part of Punjab, India

Kaur, Tajinder; Bhardwaj, Renu; Arora, Saroj

doi:10.1007/s13201-016-0476-2

Cited by 139 publications

(58 citation statements)

References 32 publications

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“…In this plot, samples are equally distributed in class I and II, which indicate good permeability and the water can be used for irrigation. Table 4 shows the comparison of present study chemical composition of groundwater with few other parts of world and India regions [50][51][52][53][54][55][56][57][58][59][60]. It is clearly noticed that the chemical concentration of West Tripura (present study) is much lower than the world and India regions.…”

Section: Water Qualitymentioning

confidence: 75%

Groundwater quality assessment in Jirania Block, west district of Tripura, India, using hydrogeochemical fingerprints

et al. 2019

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A hydrogeochemical assessment was carried out in Jirania Block of west district of Tripura, India, to evaluate the geochemical processes and groundwater suitability for drinking and irrigation purposes. Twenty-two groundwater samples were collected at different lithologies in the study area during post-monsoon period. The collected samples were analyzed for major ions and heavy metals using the standard protocols. The analyzed parameters were used for various geochemical plots and indices to classify the groundwater quality. The order of dominance of cations is Ca 2+ > Mg 2+ > Na + > K + and HCO 3 − > Cl − > SO 4 2− > NO 3 − for anions. Higher concentration of Fe and Mn was observed in most of the samples, which are above the acceptable limit of BIS standard. Correlation analysis and factor analysis were applied to unravel the relationship between ions and to identify the possible geochemical processes in groundwater. The interpretation of analytical data, plots and indices reveals that the weathering, mineral dissolution and ion exchange reactions are the major controlling factors for the groundwater geochemistry. The quality of the groundwater is suitable for drinking and irrigation purposes to the local community in this assessment period.

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Section: Water Qualitymentioning

confidence: 75%

Groundwater quality assessment in Jirania Block, west district of Tripura, India, using hydrogeochemical fingerprints

et al. 2019

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“…The %Na in the study region ranges from 43.87% to 74.41% and 50.01% to 65.55% in the groundwater and surface water, respectively. About 56% of collected groundwater and 100% surface water are under permissible limits for irrigation, and remaining groundwater samples fall under doubtful category for irrigation (Wilcox 1955; Table 8), since they cause deflocculation and impairment of the tilth and the permeability of soil (Karanth 1989 (1955) designed a graphical model for irrigation utility, where water has been classified into five classes which are excellent to good (EG), good to permissible (GP), permissible to doubtful (PD), doubtful to unsuitable (DUS) and unsuitable (Fig. 18).…”

Section: Multivariate Graphical Methods For Irrigation Utilitymentioning

confidence: 99%

Hydrogeochemical characterization and assessment of water suitability for drinking and irrigation in crystalline rocks of Mothkur region, Telangana State, South India

Sakram

Adimalla

2018

Appl Water Sci

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The present study confers the chemical quality of groundwater and surface water of Mothkur region, Telangana State, for drinking and irrigational purposes. Mothkur region is geologically occupied by the Archaean crystalline terrain. Most of the population depends on groundwater for their daily needs especially for drinking, house needs and irrigation purposes. For this reason, twenty-five groundwater and five surface water samples were collected and analysed for pH, electrical conductivity, total dissolved solids (TDS), total hardness (TH) bicarbonate (HCO 3 − ), chloride (Cl − ), sulphate (SO 4 2− ), fluoride (F − ), calcium (Ca 2+ ), magnesium (Mg 2+ ), sodium (Na + ) and potassium (K + ). The results are evaluated and compared with WHO and BIS water quality standards. Based on obtained results 32%, 20%, 28% and 4% of groundwater samples are not recommended for drinking with reference to the concentrations of fluoride, TDS, TH and Cl − , respectively. Base-exchange indices and meteoric genesis indices classified 67% and 33% of the water sources as the Na + -HCO 3 − type and deep meteoric water percolation type, respectively. Piper trilinear diagram for geochemical classification indicates 44% and 60% of groundwater and surface water samples of Ca 2+ -Na + -HCO 3 − type and 29% belong to Na + -HCO 3 − types. Multivariate graphical methods have been carried out using the United States Salinity Laboratory diagram, Wilcox diagram, sodium adsorption ratio, per cent sodium (%Na), residual sodium carbonate and permeability index which indicate that majority of groundwater samples are useful for irrigation purposes.Keywords Hydrochemistry · Groundwater quality · Sodium adsorption ratio (SAR) · Per cent sodium (%Na) · Residual sodium carbonate (RSC) · Permeability index (PI) · Mothkur region · South India Electronic supplementary material The online version of this article (https ://doi.

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“…These pollutants alter the physio-chemical characteristics of aquatic ecosystem because it has high concentration of BOD and TDS which cause rapid depletion of oxygen in water. It is estimated that every year, millions of tons of waste in the form of industrial waste, agricultural waste and urban waste water is dumped into the river, thus making the water from the river unusable and requires frequent quality checks (Shah and Joshi 2017;Kaur et al 2017;Parmar and Bhardwaj 2014;Loganathan and Ahamed 2017). In India, the water quality check is carried under the careful monitoring of Central Pollution Control Board (CPCB) (Nagar 2007).…”

Section: Introductionmentioning

confidence: 99%

“…It was also found that the water was hard and alkaline, i.e., the pH was much higher than the permissible standards prescribed by WHO. It was found that the use of fertilizers with iron, phosphate and ammonium ions contents was the main reason for source of arsenic content in some of the water analysis sites (Kaur et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

et al. 2019

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In this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoTbased water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

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Assessment of groundwater quality for drinking and irrigation purposes using hydrochemical studies in Malwa region, southwestern part of Punjab, India

Cited by 139 publications

References 32 publications

Groundwater quality assessment in Jirania Block, west district of Tripura, India, using hydrogeochemical fingerprints

Groundwater quality assessment in Jirania Block, west district of Tripura, India, using hydrogeochemical fingerprints

Hydrogeochemical characterization and assessment of water suitability for drinking and irrigation in crystalline rocks of Mothkur region, Telangana State, South India

Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

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