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Hydrogeochemical characterization and geochemical modeling for the evaluation of groundwater quality and health risk assessment in the Varuna River basin, India.

Sangita DeyN Janardhana RajuWolfgang GosselRajesh Kumar Mall
Published in: Environmental geochemistry and health (2023)
This study focuses on determining significant controlling factors of chemical consequences, inverse geochemical modeling, water quality, and human health risk in the Varuna River basin of India. The study interprets that according to pH, total dissolved solids, and total hardness, the maximum number of groundwater samples are alkaline, fresh, and have substantial hardness. The abundance of major ions follows a pattern: Na > Ca > Mg > K, and HCO 3  > Cl > SO 4  > NO 3  > F. Piper diagram shows that Ca-Mg-HCO 3 facies are predominant during both seasons. Na-normalized molar ratios of HCO 3 /Na, Mg/Na, and Ca/Na are 0.62, 0.95, and 1.82 (pre-monsoon) and 0.69, 0.91, and 1.71 (post-monsoon), respectively, elucidating the coupled silicate and carbonate weathering (dolomite dissolution) sources. The Na/Cl molar ratio is 5.3 (pre-monsoon) and 3.2 (post-monsoon), indicating silicate alteration as the primary process rather than halite dissolution. The chloro-alkaline indices confirm the presence of reverse ion- exchange. Geochemical modeling using PHREEQC identifies the formation of secondary kaolinite minerals. The inverse geochemical modeling categorizes the groundwaters along the flow path from recharge area waters (Group I: Na-HCO 3 -Cl), transitional area waters (Group II: Na-Ca-HCO 3 ), and discharge area waters (Group III: Na-Mg-HCO 3 ). The model demonstrates the prepotency of water-rock interactions in pre-monsoon justified by the precipitation of Chalcedony and Ca-montmorillonite. The mixing analysis shows that in the alluvial plains, groundwater mixing is a significant hydrogeochemical process that affects groundwater quality. The Entropy Water Quality Index ranks 45% (pre-monsoon) and 50% (post-monsoon) of samples as an excellent category. However, the non-carcinogenic health risk assessment shows that children are more susceptible to fluoride and nitrate contamination.
Keyphrases
  • health risk
  • drinking water
  • heavy metals
  • health risk assessment
  • water quality
  • risk assessment
  • young adults
  • human health
  • protein kinase
  • quality improvement
  • dna methylation
  • nitric oxide