Flood Risk Assessment Using Hydraulic Modeling and Remote Sensing Data: A Case Study of the M’zab Valley, (Algeria)

The objective of the present work is to create a geospatial map that assesses the risk of flooding in the Oud M’zab region, by integrating various parameters derived from remote sensing data (soil and land use land cover) and multi-source data (including topography, hydrographic networks, and lithology). Flooding is a significant concern in various sectors, including industrial, urbanization, hydraulic works, and road structures. This study focuses on hydrological modelling approaches to simulate flooding areas in the Oued M’zab region, bases on a peak flow and recorded flood data to obtain a preliminary assessment of potential flooding.In order to validate the hydrological consistency of this work, the HEC-RAS 1D tools were employed. The result of this analysis revealed four flood risk classes, ranging from low to high risk. The risk of flooding is particularly higher in the area where the banks and the river-beds are occupied by the urban population, while it tends to decrease while moving away from Oued and valley.