Urban Resilience Project

Flood simulation with hydrological models requires appropriate inflow data. But, unfortunately in the study area, there was no proper distribution of hydrometric stations and long-term statistics data. Therefore, using the output data of large-scale hydrological models with suitable temporal and spatial resolution can be beneficial for solving the existing gap. Thus, depth and flow velocity in different return periods and predetermined scenarios were obtained with appropriate accuracy.

In comparison to the previous inundation maps produced expected inundation map generates more information about the flood characteristics. These maps can be useful to evaluate policy alternatives. The results of this study can be used for future flood damage mitigation plans and flood risk assessment in DMR.