Water quality assessment of Narmada River along the different topographical regions of the central India

Gupta, Deepak; Shukla, Reetika; Barya, Mahesh Prashad; Singh, Gurudatta; Mishra, Virendra Kumar

doi:10.1080/11104929.2020.1839345

Cited by 22 publications

(13 citation statements)

References 25 publications

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“…Correlation coefficient values nearer to +1 or -1 specify the probability of a linear relationship amongst x and y variables. 19 A correlation was executed on MS Excel. The principal component analysis is a technique for reducing data and extracting a limited number of apparent elements for the purpose of analyzing correlations between observed variables and assessing variations and potential sources of physicochemical parameters in a reservoir.…”

Section: Multivariate Analysismentioning

confidence: 99%

“…Dendrograms are commonly used to illustrate hierarchical clustering because of intuitive resemblance associations amongst one sample & whole data set. It aids into data interpretation of actual summary of the clustering system reveals an image of groups & their affection with an incredible decrease in an aspect of original data 19. Principal Component Analysis (PCA) & Cluster Analysis (CA) and were executed on PAST-4.03.…”

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confidence: 99%

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Assessment of Water Quality Index and Non-Carcinogenic Risk for Ingestion of Nitrate for Drinking Purpose of Bhosga Reservoir, Karnataka, India

Sarikar

Vijaykumar

2022

Curr. World Environ

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Reservoirs are vital water sources that contribute significantly to local ecological and environmental balance, particularly in semi-arid regions. An evaluation of the drinking water quality index (WQI) has been conducted using ten water parameters like electrical conductivity (EC), chloride (Cl-), pH, total hardness (TH), total alkalinity (TA), phosphate (PO43-), dissolved oxygen (DO), nitrate (NO3-), total dissolved solids (TDS), and sulfate (SO42-). Weighed Arithmetic Index technique is utilized for examining drinking water quality status and USEPA model was utilized to determine the non-carcinogenic risk for ingestion of nitrate of Bhosga reservoir of Kalaburagi district which was measured at five predefined sites from October 2020 to September 2021. All the parameters of potable water were below the allowable limits based on given standards. The maximum WQI results were reported in monsoon season, with a mean WQI value of 48.14 from all the five selected sites, with the pre & post-monsoon seasons a mean WQI result of 46.08 and 43.68, respectively. Overall, the WQI value signifies that the water was of good quality, making it worthy for domestic use. The outcome of this study reveals that the pH and DO position have a substantial impact on reservoir WQI. Non-carcinogenic risk for nitrate ingestion reveled that, seasonal HQ average results for adults and children are ranging between 0.036 to 0.040 and 0.065 to 0.071, respectively and the HQ results for both adults and children were below 1, indicating neither adults nor children had any negative effect. Principal component analysis and cluster analysis revealed that primary causes of water quality degradation were agricultural runoff and anthropogenic activities. To ensure the security and the quality of water supply to people who live in the surrounding region, simple filter treating of reservoir water prior usage is needed.

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Section: Multivariate Analysismentioning

confidence: 99%

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confidence: 99%

Assessment of Water Quality Index and Non-Carcinogenic Risk for Ingestion of Nitrate for Drinking Purpose of Bhosga Reservoir, Karnataka, India

Sarikar

Vijaykumar

2022

Curr. World Environ

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“…Narmada basin present in central India is the fifth-longest river in the Indian subcontinent. It is also known as 'Life Line of Madhya Pradesh' bounded within latitude 21°20 0 N to 23°45 0 N and longitude 72°32 0 E to 81°45 0 E. Narmada River originates at Amarkantak and it flows westwards over a length of 1,312 km and discharged in the Arabian Sea at Bharuch in Gujarat (Gupta et al 2020). Narmada flows in the northern part of deccan plateau, with its catchment area of 98,796 km 2 it flows through Madhya Pradesh, Gujarat, and Maharashtra states of India.…”

Section: Study Areamentioning

confidence: 99%

“…The main source of water for domestic and agricultural purpose is from surface water like rivers, streams, and ponds (Gupta et al 2020). The ions present in surface water discloses its potential sources whether it is natural or anthropogenic and water suitability for human use.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly in India, physicochemical studies of rivers have been conducted by several researchers (Sharma & Subramanian 2008;Gupta et al 2011;Ghosh et al 2019;Patel et al 2020). Recent studies on water quality of river Narmada have been carried by (Sharma et al 2013;Gupta et al 2017;Gupta et al 2020;Mishra & Kumar 2020). But all of these researchers have focused on exploring studies on drinking water quality of Narmada River.…”

Section: Introductionmentioning

confidence: 99%

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Mechanisms controlling major ion chemistry and its suitability for irrigation of Narmada River, India

et al. 2021

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Surface water chemistry of the upper Narmada River was investigated at 13 different locations for 4 consecutive years (2017 to 2020) during pre- and post-monsoon seasons. The main objective of the study was to identify the processes governing the water chemistry of Narmada River and evaluate its suitability for irrigation. The physical parameters estimated were; pH (7.9 ± 0.4 for pre- and 8 ± 0.4 for post-monsoon seasons), EC (322.8±93.3 μS/cm for pre- and 312.1±80.2 μS/cm for post-monsoon) and TDS (203.4±41.5 mg/L for pre-and 213.4±48 mg/L for post-monsoon). The obtained concentration of cations and anions were in the order of Ca++ > Na+ > Mg++> K+ and HCO3−> Cl−>SO4−> NO3−> PO4− respectively. Thus, the water of Narmada was found to be alkaline in nature. Piper diagram inferred that the water was dominated by Ca-Mg-HCO3− type of hydrochemical faces. Gibb's plot clarified that rock-water interaction regulates the ion chemistry of the Narmada. Various indices like sodium percentage (Na%), sodium absorption ration (SAR), Kelly index (Ki), permeability index (PI), magnesium hazard (MH) was calculated which showed that the surface water was suitable for irrigation. Lastly, one-way ANOVA (p < 0.05) confirmed no significant differences in water quality except for temperature, EC and SO4−, for pre- and post-monsoon season.

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Application of best subset method for river water quality modeling: A study on Godavari River, India

Chintalacheruvu

Modi

2023

Environmental Quality Mgmt

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The utilization of water quality analysis to inform optimal decision‐making is imperative to achieve sustainable management of river water quality. A multitude of research works in the past has focused on river water quality modeling. Despite being a precise statistical regression technique that allows for fitting separate models for all potential combinations of predictors and selecting the optimal subset model, the application of best subset method in river water quality modeling is not widely adopted. The current research aims to validate the use of best subset method in evaluating the water quality parameters of the Godavari River, one of the largest rivers in India, by developing regression equations for different combinations of its physicochemical parameters. The study involves in formulating best subset regression equations to estimate the concentrations of river water quality parameters while also identifying and quantifying their variations. A total of 17 water quality parameters are analyzed at 13 monitoring sites using 13 years (1993–2005) of observed data for the monsoon (June–October) period and post‐monsoon (November–February) period. The final subset model is selected among model combinations that are developed for each year's dataset through widely used statistical criteria such as R2, F value, adjusted R2a, AICc, and RSS. The final best subset model across all parameters exhibits R2 values surpassing 0.8, indicating that the models possess the ability to account for over 80% of the variations in the concentrations of dependent parameters. Therefore, the findings demonstrated the appropriateness of this method in evaluating the water quality parameters in extensive rivers. This work is very useful for decision‐making and in the management of river water quality for its sustainable use in the study area.

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Water quality assessment of Narmada River along the different topographical regions of the central India

Cited by 22 publications

References 25 publications

Assessment of Water Quality Index and Non-Carcinogenic Risk for Ingestion of Nitrate for Drinking Purpose of Bhosga Reservoir, Karnataka, India

Assessment of Water Quality Index and Non-Carcinogenic Risk for Ingestion of Nitrate for Drinking Purpose of Bhosga Reservoir, Karnataka, India

Mechanisms controlling major ion chemistry and its suitability for irrigation of Narmada River, India

Application of best subset method for river water quality modeling: A study on Godavari River, India

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