Estimation of flood land use/land cover mapping by regional modelling of flood hazard at sub-basin level case study: Marand basin

Flood is one of the most dangerous environmental hazards that threaten the human lives and properties on a large scale. Identification of flood risk areas with the aim of optimal management of this area is very necessary. In this research, the estimation of Land use/ Land cover (LULC) in the Marand basin was modelled on the Sub-basin level using remote sensing and geographic information systems (GIS). The runoff coefficient was determined using the LULC extracted from satellite images, slope map and soil hydrologic groups, and rainfall intensity. Then, peak runoff for each sub-basin was calculated. In the following, by using linear membership function in the fuzzy logic model, the integration of two layers of peak runoffs and the elevation line layers between 0 and 1 were transformed into fuzzy values. Afterward, by applying multiple overlaps of weights to each of these two layers and their results, classes of flood hazard distribution map were produced. By comparing the hazard map with the results of participatory geographic information system (PGIS) and entering this information into the confusing matrix, the collision accuracy of the map was 87.83%. Finally, by comparing this map with the land cover/ use map, their flood extent was determined separately.