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September 16, 2025Limnological ReviewOpen Access

Machine Learning-Enhanced Monitoring and Assessment of Urban Drinking Water Quality in North Bhubaneswar, Odisha, India

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Authors

KSKshyana Prava SamalKIIT UniversityRTRakesh Ranjan ThakurKIIT UniversityAPAlok Kumar PandaKIIT University

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Overview

Analysis employs machine learning and geospatial technologies to assess water quality in 21 wards, suggesting sustainable solutions.

Key Points

  • The study reveals a strong correlation between pH, conductivity, hardness, and alkalinity in water quality assessment.
  • Using machine learning models, decision tree and random forest achieved up to 92.7% accuracy in predicting water quality.
  • Water quality was assessed using the Water Quality Index integrating multiple physicochemical parameters for a comprehensive analysis.
  • Continuous monitoring of water quality was emphasized to ensure access to clean drinking water for North Bhubaneswar.

Cite This Study

Samal et al. (2025) studied this question.

synapsesocial.com/papers/68d454c531b076d99fa5a129https://doi.org/10.3390/limnolrev25030044
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