Identification of Potential Flood-Prone Areas in the Republic of Kosovo Using GIS-Based Multi-Criteria Decision-Making and the Analytical Hierarchy Process

Floods rank among the most frequent and destructive natural hazards, threatening ecosystems, human settlements, and national economies. This study delineates flood-prone areas across Kosovo by developing a national-scale Flood Risk Database (FRDB) and a comprehensive mapping framework integrating Geographic Information Systems (GIS), Multi-Criteria Decision-Making (MCDM), and the Analytical Hierarchy Process (AHP). Eight hydrological and topographic conditioning factors—slope, elevation, flow accumulation, distance to rivers, land use/land cover, soil type, precipitation, and drainage density—were analyzed. AHP was employed to assign factor weights based on their relative influence on flood susceptibility, while MCDM aggregated these weighted spatial layers to generate a national flood risk map. Model validation, based on historical flood points, achieved an AUC of 0.909, confirming its high predictive accuracy. The resulting flood risk map classifies Kosovo’s territory into five risk levels: very high (0.56%), high (14.44%), moderate (36.68%), low (46.46%), and very low (1.88%). This research provides the first systematic national-scale FRDB for Kosovo, offering a reliable scientific basis for flood management, spatial planning, and climate resilience policy.

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Publication Details

Journal
Sustainability
Published
2025-12-30
DOI
https://doi.org/10.3390/su18010359
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Potential Flood-Prone Areas in the Republic of Kosovo Using GIS-Based Multi-Criteria Decision-Making and the Analytical Hierarchy Process

Bashkim Idrizi, Lyubka Pashova, Agon Nimani
Sustainability
Flood Risk Assessment and Management
article

Identification of Potential Flood-Prone Areas in the Republic of Kosovo Using GIS-Based Multi-Criteria Decision-Making and the Analytical Hierarchy Process

Bashkim Idrizi, Lyubka Pashova, Agon Nimani
article en

Abstract

Floods rank among the most frequent and destructive natural hazards, threatening ecosystems, human settlements, and national economies. This study delineates flood-prone areas across Kosovo by developing a national-scale Flood Risk Database (FRDB) and a comprehensive mapping framework integrating Geographic Information Systems (GIS), Multi-Criteria Decision-Making (MCDM), and the Analytical Hierarchy Process (AHP). Eight hydrological and topographic conditioning factors—slope, elevation, flow accumulation, distance to rivers, land use/land cover, soil type, precipitation, and drainage density—were analyzed. AHP was employed to assign factor weights based on their relative influence on flood susceptibility, while MCDM aggregated these weighted spatial layers to generate a national flood risk map. Model validation, based on historical flood points, achieved an AUC of 0.909, confirming its high predictive accuracy. The resulting flood risk map classifies Kosovo’s territory into five risk levels: very high (0.56%), high (14.44%), moderate (36.68%), low (46.46%), and very low (1.88%). This research provides the first systematic national-scale FRDB for Kosovo, offering a reliable scientific basis for flood management, spatial planning, and climate resilience policy.

SustainabilityVol. 18(1)
Bulgarian Academy of Sciences (BG), National Institute of Geophysics, Geodesy and Geography (BG), University of Prishtina (XK)
European Space Agency, University of East Anglia, U.S. Geological Survey
Climate action
Openalex Percentile: Top 35%
Flood Risk Assessment and Management
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