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A methodological framework for assessing aquatic contamination using data science approaches
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DOI：10.1016/j.wri.2026.100372.png)
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Abstract
En 中文
• A novel methodological framework developed for assessing environmental contamination (EC). • Utilizing the data-driven approaches, the “Environmental Contamination Index-ECI” model developed. • The model demonstrated good generalization sensitivity (R2 = 0.71) and minimal uncertainty (< 5%) for assessing EC. • Research outcome revealed that the ECI model could be a reliable tool for assessing EC compared to traditional method(s).
Keywords:
Data-driven model
Hyperparameters optimization techniques
ECI model
Environmental contamination
Surface water
Sundarbans
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