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July 1, 2026Open Access

A Methodological Framework for Flood Susceptibility Assessment Based on GIS, Multi-Criteria Decision Analysis and Artificial Intelligence – Case Study Kosovo

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Authors

ARAmir RexhaSXSonila Sinjari XhafaFGFerim Gashi

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Overview

Randomized trial assesses flood susceptibility in Kosovo, indicating potential for improved disaster management.

Key Points

  • The aim is to develop a framework for assessing flood susceptibility that incorporates various geographic and climatic factors.
  • Integrated GIS, MCDA, and AI methodologies to evaluate flood-prone areas.
  • Used a 5 m Digital Elevation Model to analyze topography and hydrology.
  • Applied percentile-based rainfall scenarios derived from ERA5 data.
  • The susceptibility map classified Kosovo into five levels of flood susceptibility.
  • Demonstrated strong correlation with observed flood events from 2025 to 2026.
  • Effective in supporting flood management and spatial planning.

Cite This Study

Rexha et al. (2026) studied this question.

synapsesocial.com/papers/6a44aedf5cd2549c8bc43f16https://doi.org/10.5281/zenodo.20407389
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