A novel framework embedding Bayesian-optimized ensemble machine learning and explainable artificial intelligence (XAI) to improve flood prediction in complex watersheds

Floods are among the most common and destructive natural hazards, particularly in areas characterized by data scarcity and intricate geomorphological features. In such regions, accurate and interpretable flood susceptibility mapping is essential for effective risk reduction and informed urban planni...

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Bibliographic Details

Published in:	Environmental and Sustainability Indicators
Main Authors:	Md Gufran Alam, Vaibhav Tripathi, C.M. Bhatt, Mohit Prakash Mohanty
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Bayesian approach Flood susceptibility Kosi megafan Machine learning SHAP
Online Access:	http://www.sciencedirect.com/science/article/pii/S2665972725001813