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March 3, 2026Journal of Contaminant Hydrology

Assessment of groundwater vulnerability to heavy metals in four aquifers using machine learning algorithms

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Authors

GHGholamheidari HamidehEMEntezari Mojgan

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Overview

Analysis shows groundwater vulnerability to heavy metals in four aquifers, indicating potential risk to water quality.

Key Points

  • Groundwater vulnerability to heavy metals is significant in four aquifers assessed.
  • Machine learning algorithms revealed vulnerability scores, highlighting key contamination areas.
  • Observational analysis across four aquifers led to the identification of heavy metal risks.
  • Support for using machine learning can enhance understanding of aquifer vulnerability and inform water management.

Cite This Study

Hamideh et al. (2026) studied this question.

synapsesocial.com/papers/69a75f37c6e9836116a2a6f4https://doi.org/10.1016/j.jconhyd.2026.104853
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