Hydrogeochemical and Geostatistical Evaluation of Groundwater Quality In Semi-Arid Region of Eastern Rajasthan: A PCA and Geospatial-Based Approach

The increasing demand for freshwater resources due to population growth and associated activities has exacerbated groundwater quality challenges, especially in semi-arid regions. This study evaluates the hydro-geochemical properties of groundwater in eastern Rajasthan, using geostatistical methods integrated with Principal Component Analysis (PCA) and geospatial techniques. A comprehensive field examination collected groundwater samples from 36 sites and assessed 14 hydrogeochemical parameters, including Sodium, Potassium, Calcium, Magnesium, pH, Total Hardness, TDS, Conductivity, Alkalinity, Nitrite, Bicarbonate, Fluoride, Chloride, Iron (Fe), and Depth. The majority of samples revealed Na-Cl-type characteristics with evaporation dominance. A strong positive association was observed between Na⁺ and EC (r = +0.95) and between Alkalinity and HCO3- (r = + 0.94), while a negative association was identified between HCO3- and depth (r = - 0.45) and between Ca++-Mg++ and pH (-0.43). In addition, Wilcox diagrams classified most groundwater sources as permitted to dubious. The PCA analysis identified four main components, accounting for 85.86% of the variance. Component 1 (40.41%) comprised Na⁺, EC, TDS, HCO₃⁻, and Alkalinity, whereas Component 2 (20.66%) contained TH, F⁻, Ca⁺-Mg⁺⁺, and K⁺. These findings suggest that geochemical processes affect groundwater quality and that semi-arid regions require sustainable groundwater management.

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Publication Details

Journal
Journal of Mountain Research
Published
2025-01-01
DOI
https://doi.org/10.51220/jmr.v20-i1.52
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Hydrogeochemical and Geostatistical Evaluation of Groundwater Quality In Semi-Arid Region of Eastern Rajasthan: A PCA and Geospatial-Based Approach

Jitendra Binwal, Sunil Singh, Har Lal Singh, Sunita Sunita
Journal of Mountain Research
Groundwater and Watershed Analysis
article

Hydrogeochemical and Geostatistical Evaluation of Groundwater Quality In Semi-Arid Region of Eastern Rajasthan: A PCA and Geospatial-Based Approach

Jitendra Binwal, Sunil Singh, Har Lal Singh, Sunita Sunita
article en

Abstract

The increasing demand for freshwater resources due to population growth and associated activities has exacerbated groundwater quality challenges, especially in semi-arid regions. This study evaluates the hydro-geochemical properties of groundwater in eastern Rajasthan, using geostatistical methods integrated with Principal Component Analysis (PCA) and geospatial techniques. A comprehensive field examination collected groundwater samples from 36 sites and assessed 14 hydrogeochemical parameters, including Sodium, Potassium, Calcium, Magnesium, pH, Total Hardness, TDS, Conductivity, Alkalinity, Nitrite, Bicarbonate, Fluoride, Chloride, Iron (Fe), and Depth. The majority of samples revealed Na-Cl-type characteristics with evaporation dominance. A strong positive association was observed between Na⁺ and EC (r = +0.95) and between Alkalinity and HCO3- (r = + 0.94), while a negative association was identified between HCO3- and depth (r = - 0.45) and between Ca++-Mg++ and pH (-0.43). In addition, Wilcox diagrams classified most groundwater sources as permitted to dubious. The PCA analysis identified four main components, accounting for 85.86% of the variance. Component 1 (40.41%) comprised Na⁺, EC, TDS, HCO₃⁻, and Alkalinity, whereas Component 2 (20.66%) contained TH, F⁻, Ca⁺-Mg⁺⁺, and K⁺. These findings suggest that geochemical processes affect groundwater quality and that semi-arid regions require sustainable groundwater management.

Journal of Mountain ResearchVol. 20(1)
University Grants Commission
Openalex Percentile: Top 84%
Groundwater and Watershed Analysis
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Hydrogeochemical and Geostatistical Evaluation of Groundwater Quality In Semi-Arid Region of Eastern Rajasthan: A PCA and Geospatial-Based Approach — Jitendra Binwal, Sunil Singh, et al. · Journal of Mountain Research (2025) | TGRS Research Map | TGRS