Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability
Floods cause severe losses, impacting communities and ecosystems, while risk assessment aids mitigation. Flood risk in Ardabil’s watersheds was assessed using a multi-criteria approach integrating hazard, exposure, and vulnerability. Flood risk was determined by considering hazard, exposure, and vul...
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Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2551814 |
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| author | Elham Azizi Raoof Mostafazadeh Zeinab Hazbavi Abazar Esmali-Ouri Shahnaz Mirzaei |
| author_facet | Elham Azizi Raoof Mostafazadeh Zeinab Hazbavi Abazar Esmali-Ouri Shahnaz Mirzaei |
| author_sort | Elham Azizi |
| collection | DOAJ |
| description | Floods cause severe losses, impacting communities and ecosystems, while risk assessment aids mitigation. Flood risk in Ardabil’s watersheds was assessed using a multi-criteria approach integrating hazard, exposure, and vulnerability. Flood risk was determined by considering hazard, exposure, and vulnerability using 19 criteria that influence flood occurrence. These criteria include max 24-h rainfall, potential runoff generation, frequency of floods, max flood discharge, runoff contribution area, and floodplain extent, average floodplain width, population density, cultural heritage, reservoir storage capacity, flood control, natural lands, flood awareness/preparation, illiteracy rate, emergency services, topography, unemployment rate, housing quality, and infrastructure. Hydro-meteorological data and GIS maps were used to calculate factors via the arithmetic mean of standardized criteria, with risk estimated by multiplying the factors. The hazard factor had the greatest impact on flood risk, with low risk in the Eiril and Namin watersheds and the highest in Mashiran. About 32.52% and 33.81% of the studied watersheds area are assigned as very high and high-risk classes, respectively. As a concluding remark, the presented map can provide managers and planners with a comprehensive view of the risk of flooding, taking into account all the effective factors in different climatic conditions, topography, and diversity of human activities. |
| format | Article |
| id | doaj-art-2ee6cc11c84e4da7a0e8d2e5fd527755 |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
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| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-2ee6cc11c84e4da7a0e8d2e5fd5277552025-08-26T12:08:06ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2551814Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerabilityElham Azizi0Raoof Mostafazadeh1Zeinab Hazbavi2Abazar Esmali-Ouri3Shahnaz Mirzaei4Department of Natural Resources, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Natural Resources, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Natural Resources, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Natural Resources, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Watershed Management, Gorgan University of Agricultural Science and Natural Resources, Gorgan, IranFloods cause severe losses, impacting communities and ecosystems, while risk assessment aids mitigation. Flood risk in Ardabil’s watersheds was assessed using a multi-criteria approach integrating hazard, exposure, and vulnerability. Flood risk was determined by considering hazard, exposure, and vulnerability using 19 criteria that influence flood occurrence. These criteria include max 24-h rainfall, potential runoff generation, frequency of floods, max flood discharge, runoff contribution area, and floodplain extent, average floodplain width, population density, cultural heritage, reservoir storage capacity, flood control, natural lands, flood awareness/preparation, illiteracy rate, emergency services, topography, unemployment rate, housing quality, and infrastructure. Hydro-meteorological data and GIS maps were used to calculate factors via the arithmetic mean of standardized criteria, with risk estimated by multiplying the factors. The hazard factor had the greatest impact on flood risk, with low risk in the Eiril and Namin watersheds and the highest in Mashiran. About 32.52% and 33.81% of the studied watersheds area are assigned as very high and high-risk classes, respectively. As a concluding remark, the presented map can provide managers and planners with a comprehensive view of the risk of flooding, taking into account all the effective factors in different climatic conditions, topography, and diversity of human activities.https://www.tandfonline.com/doi/10.1080/19475705.2025.2551814Climatic variablesrainfall intensitymaximum 24-h rainfallriver flowflood management |
| spellingShingle | Elham Azizi Raoof Mostafazadeh Zeinab Hazbavi Abazar Esmali-Ouri Shahnaz Mirzaei Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability Geomatics, Natural Hazards & Risk Climatic variables rainfall intensity maximum 24-h rainfall river flow flood management |
| title | Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability |
| title_full | Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability |
| title_fullStr | Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability |
| title_full_unstemmed | Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability |
| title_short | Geospatial flood risk assessment: multi-criteria approach integrating hydro-climatic hazard, exposure, vulnerability |
| title_sort | geospatial flood risk assessment multi criteria approach integrating hydro climatic hazard exposure vulnerability |
| topic | Climatic variables rainfall intensity maximum 24-h rainfall river flow flood management |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2025.2551814 |
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