Flood risk prediction and modeling in Bauchi: leveraging machine learning models and explainable AI for urban resilience

Floods are amongst the most destructive weather and climate-related disasters, causing significant loss of life and property globally. Accurate flood risk prediction is crucial for improving disaster resilience and urban planning.

Bibliographic Details

Main Authors:	Kafi, Kamil Muhammad, Ponrahono, Zakiah, Ash’aari, Zulfa Hanan, Barau, Aliyu Salisu
Format:	Article
Language:	en
Published:	Elsevier BV 2025
Subjects:	Global and Planetary Change Public Health, Environmental and Occupational Health
Online Access:	http://psasir.upm.edu.my/id/eprint/124307/1/124307.pdf http://psasir.upm.edu.my/id/eprint/124307/ https://www.sciencedirect.com/science/article/pii/S2667278225000665
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