Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin
The Kabul River Basin (KRB), located in the eastern Hindukush region, is a transboundary basin shared by Afghanistan and Pakistan. This study aims to identify and map hotspots for five major flood types: ephemeral, fluvial, flash, urban, and glacial lake outburst floods (GLOFs) using three models: the Frequency Ratio (FR), Expert Opinion-based Analytical Hierarchy Process (EO-AHP), and Prediction Rate-based Analytical Hierarchy Process (PR-AHP). By analyzing 620 flood locations and 18 flood predictors, we found that 14 %, 20 %, and 15 % of the study area derived from FR, EO-AHP, and PR-AHP models were highly susceptible to multi-type floods, respectively, highlighting susceptible hotspots of different floods in the KRB. This study provides a comprehensive multi-type flood susceptibility map for the KRB. The findings of this study are crucial for effective flood management, as they identify and integrate multi-type floods into a single map. The study helps relevant authorities in prioritizing resource allocation, improving early warning systems, and implementing sustainable land use planning, ultimately improving flood preparedness and building resilience through risk-informed policy-making. • Identify and map multi-type flood hotspots in the Kabul River Basin using three models. • Assess susceptibility to ephemeral, fluvial, flash, urban, and glacial lake outburst floods. • 14 %, 20 %, and 15 % of the study area is susceptible to multi-type floods. • An innovative ensemble prediction rate-based analytical hierarchy process model has been introduced.
Authors
- Muhammad Hussain (ORCID: https://orcid.org/0000-0003-1160-7994)
- Safi Ullah (ORCID: https://orcid.org/0000-0002-2328-8321)
- Meimei Zhang (ORCID: https://orcid.org/0000-0001-9621-4879)
- Peyman Yariyan
- Jiahua Zhang (ORCID: https://orcid.org/0000-0001-5180-7267)
- Fang Chen (ORCID: https://orcid.org/0000-0002-5176-9392)
- Zahoor Ahmad (ORCID: https://orcid.org/0000-0002-0904-6182)
- Zahid Ur Rahman (ORCID: https://orcid.org/0000-0001-5482-4097)
Institutions
- Qingdao University (CN)
- Northeast Normal University (CN)
- Chinese Academy of Sciences (CN)
- University of Tabriz (IR)
- Beijing Institute of Big Data Research (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- Journal of Hydrology Regional Studies
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1016/j.ejrh.2025.102468
- Citations
- 6
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 6.63