Flood risk prediction and modeling in Bauchi: Leveraging machine learning models and explainable AI for urban resilience
The findings provide valuable insights for climate action, particularly in flood risk and exposure, and emphasize the role of urban planning and effective disaster risk reduction strategies in enhancing urban resilience.
Authors
- Aliyu Salisu Barau (ORCID: https://orcid.org/0000-0002-1259-3929)
- Zulfa Hanan Ash’aari (ORCID: https://orcid.org/0000-0002-9500-1342)
- Zakiah Ponrahono (ORCID: https://orcid.org/0000-0002-1430-625X)
- Kamil Muhammad Kafi (ORCID: https://orcid.org/0000-0002-5617-6633)
Institutions
- Universiti Putra Malaysia (MY)
- Bayero University Kano (NG)
Publication Details
- Journal
- The Journal of Climate Change and Health
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1016/j.joclim.2025.100490
- Citations
- 2
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.21