Flood zoning of sub-basins of villages in the western part of Zaribar Lake (Marivan, Kurdistan)

نویسندگان

1 Department of Physical Geography, Earth Sciences Faculty, Shahid Beheshti University, Tehran, Iran

2 Department of Physical Geography, Earth Sciences Faculty, Shahid Beheshti University, Tehran, Iran

doi
10.48308/esrj.2025.239985.1277
چکیده

Floods represent one of the most prevalent and devastating natural disasters, impacting the lives of millions and disrupting natural ecosystems both directly and indirectly. This research focused on assessing the flood risk across the sub-basins of the villages located in the western region of Zaribar Lake, specifically Barda-Rasheh, Yangijeh, Kani-Spikeh, and Pir-Safa. To evaluate the susceptibility of these sub-basins to flooding, the study employed the analytic hierarchy process alongside a multi-criteria decision-making approach, taking into account ten significant factors: elevation, slope, aspect, geology, land use, flow accumulation, distance from drainage network, rainfall, curvature of the topography, and drainage density. The data layers were integrated through the fuzzy sum technique, resulting in the categorization of flood risk into five distinct levels: no risk, low risk, medium risk, high risk, and very high risk. The findings indicated that the eastern regions of the study area are free of flood risk, whereas the western sections of the basin, particularly sub-basins 8, 10, and 14, exhibit the highest levels of flood risk. The predominant portion of the region, accounting for 52.94%, falls within the medium risk classification, while 17% is categorized as high risk, and less than 1% is classified as very high risk. Additionally, 22.48% of the area is deemed risk-free, and 7.50% is identified as low risk. An analysis of the contributing factors revealed that slope, elevation, distance from drainage network, and drainage density significantly influence the region's flooding. These findings are applicable for planning in water resource management and for mitigating flood risks in the study area.