Volume 15, Issue 3 (Autumn-In Press 2025)
Disaster Prev. Manag. Know. 2025, 15(3): 1-1 |
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Najafi E, Gholami F, Gholami A. Flood Risk Zoning in the Lomaar Seymareh Sub-Watershed Using the Flood Hazard Index (FHI). Disaster Prev. Manag. Know. 2025; 15 (3) :1-1
URL: http://dpmk.ir/article-1-732-en.html
URL: http://dpmk.ir/article-1-732-en.html
1- Department of Geomorphology, School of Earth Sciences, Damghan University, Damghan, Iran
2- Faculty of Geography and Planning, Isfahan University, Isfahan, Iran.
3- Kharazmi University, Tehran, Iran.
2- Faculty of Geography and Planning, Isfahan University, Isfahan, Iran.
3- Kharazmi University, Tehran, Iran.
Abstract: (37 Views)
Background and Objective: In recent decades, climate change has led to an increase in extreme rainfall events worldwide, resulting in sudden and destructive floods. Floods, as one of the most devastating natural disasters, have extensive impacts on human life, infrastructure, the environment, and the economies of communities. The Lomaar Seymareh sub-watershed, located in southwestern Iran at the border of Lorestan and Ilam provinces, is recognized as one of the areas vulnerable to floods due to its specific geographical location and climatic conditions. This study aims to identify flood-prone zones and areas within this sub-watershed and propose strategies to reduce flood-related risks.
Method: This applied research adopts a descriptive-analytical approach. Flood-prone areas in the Lomaar Seymareh sub-watershed were assessed using the Flood Hazard Index (FHI) method, considering eight hydro-geomorphological and climatic parameters: slope, drainage network density, distance from rivers, land use, geology, elevation, precipitation, and vegetation cover. The Analytical Hierarchy Process (AHP) model was used to analyze the data and determine the weight of each parameter. The required data were collected through satellite imagery, Digital Elevation Models (DEM), and meteorological data, and processed in a Geographic Information System (GIS) environment.
Findings: The most critical factors influencing flood risk in this watershed include slope, precipitation, vegetation cover, and land use type. After integrating the maps of various parameters, a final flood zoning map was produced, categorizing the area into five risk levels: very high, high, moderate, low, and very low. The results indicate that over 60% of the watershed area falls within a sensitivity range from moderate to very high flood risk, aligning with the central and western parts of the watershed. Additionally, 40.5% of the villages in this area, along with the cities of Lomaar, Sarab-Kalan, and Siyeh-Siyeh, are located in regions with high and very high flood risk. Roads in the western part of the watershed are also exposed to flood hazards and require preventive and managerial actions.
Conclusion: The findings of this study emphasize the necessity of urban planning and flood risk management in the Lomaar Seymareh sub-watershed. Given that more than 60% of the watershed area is at moderate to very high risk of flooding, it is essential to implement preventive and managerial measures in these regions. These measures include strengthening infrastructure, improving land-use planning, increasing vegetation cover, and educating local communities on flood preparedness. Furthermore, the results of this study can serve as a scientific basis for future decision-making to reduce flood-related risks and damages.
Method: This applied research adopts a descriptive-analytical approach. Flood-prone areas in the Lomaar Seymareh sub-watershed were assessed using the Flood Hazard Index (FHI) method, considering eight hydro-geomorphological and climatic parameters: slope, drainage network density, distance from rivers, land use, geology, elevation, precipitation, and vegetation cover. The Analytical Hierarchy Process (AHP) model was used to analyze the data and determine the weight of each parameter. The required data were collected through satellite imagery, Digital Elevation Models (DEM), and meteorological data, and processed in a Geographic Information System (GIS) environment.
Findings: The most critical factors influencing flood risk in this watershed include slope, precipitation, vegetation cover, and land use type. After integrating the maps of various parameters, a final flood zoning map was produced, categorizing the area into five risk levels: very high, high, moderate, low, and very low. The results indicate that over 60% of the watershed area falls within a sensitivity range from moderate to very high flood risk, aligning with the central and western parts of the watershed. Additionally, 40.5% of the villages in this area, along with the cities of Lomaar, Sarab-Kalan, and Siyeh-Siyeh, are located in regions with high and very high flood risk. Roads in the western part of the watershed are also exposed to flood hazards and require preventive and managerial actions.
Conclusion: The findings of this study emphasize the necessity of urban planning and flood risk management in the Lomaar Seymareh sub-watershed. Given that more than 60% of the watershed area is at moderate to very high risk of flooding, it is essential to implement preventive and managerial measures in these regions. These measures include strengthening infrastructure, improving land-use planning, increasing vegetation cover, and educating local communities on flood preparedness. Furthermore, the results of this study can serve as a scientific basis for future decision-making to reduce flood-related risks and damages.
Keywords: Flood zoning, hydro-geomorphological-climatic parameters, Geographic Information System (GIS), Analytical Hierarchy Process (AHP), Lomaar Seymareh
Type of Study: Applicable |
Subject:
General
Received: 2024/12/9 | Accepted: 2025/02/15 | ePublished: 2025/12/21
Received: 2024/12/9 | Accepted: 2025/02/15 | ePublished: 2025/12/21
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