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Godavari River Water Quality Prediction Using Machine Learning Algorithm

  • Unique Paper ID: 174072
  • Volume: 11
  • Issue: 10
  • PageNo: 2531-2536
  • Abstract:
  • Water quality is critical for public health and environmental safety, necessitating effective monitoring methods. This study presents a methodology for predicting river water quality using integrated geospatial and statistical approaches. High-resolution satellite imagery, turbidity data from USGS Earth Explorer, and hydrological features extracted from QGIS, such as NDWI, were used to train a Random Forest model. The model demonstrated high accuracy in predicting water quality across diverse conditions. Spatial distribution of predictions was visualized in QGIS for intuitive interpretation. This framework showcases the effectiveness of combining remote sensing, GIS, and machine learning for scalable and efficient water quality assessment.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 2531-2536

Godavari River Water Quality Prediction Using Machine Learning Algorithm

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