Feasibility study and identification of flood prone areas using multi-criteria decision making models (Case study: Ardabil city)

Flood is one of the most important and accident-prone natural hazards in Iran. Identifying flood areas and flood spreading is a key step in flood risk management, and flood risk zoning provides a small measurement of flood risk, so it is possible to send appropriate alerts in the event of a flood risk and facilitate rescue operations. The downstream potential of Ardabil city basin helps to nourish the artificial environment of the basin and also increases the quality of environmental lands. The purpose of this study is to identify areas prone to flooding and flood spread in case of flood crisis. All processes and data analysis in ARC GIS environment using electron method and Boolean logic to weight and integrate layers such as (slope, erosion, land use, waterway network, soil, geology, land curvature, Quaternary unit, groundwater level, density Vegetation, runoff and soil moisture) were used and susceptible areas were identified when exposed to danger. The results showed that areas with high flood intensity have characteristics such as alluvial and convex sediments at the foot of steep slopes and watersheds with rock outcrops. The presence of fan-shaped alluvium and alluvial fans at the outlets of canals and waterways with mountainous watersheds and hills leading to low-lying plains is the presence of low-lying lands in relation to the surrounding lands. The final result of the analysis, both in the electrode method and in the overlap, gives the information that the central part is more at risk of flooding than the Samarin and Hir parts.