Landslide microzonation using fuzzy grey correlation analysis (case study: Mollaghafar drainage basin, northeast of Khuzestan Province)

The Landslide is a natural phenomenon that has a decisive effect on the evolution and erosion of land forms. The importance of this phenomenon is especially longer when it occurs in the areas of human settlement or close to it. In this research, modeling the severity of landslide occurrence in the Mollaghafar Drainage basin using a fuzzy gray model has been studied. The most important factors in the analysis of slope landslide, the direction of gradient, height, land use, distance from the network of waterways, lithology, rainfall, and vegetation covered as the main and effective parameters in landslide zonation of the research basin of the research area are addressed. After preparing the data layer of these factors and their standardization, the weight loss model and the gray relationship analysis were used from the ArcGIS software, and ultimately, using statistical rules, the output lights for each layer of action and related maps were extracted. Also, after covering the layers, the landslide risk zonation map in 5 floors: huge, high, moderate, low and very low. The results obtained from the weight model and the analysis of the fuzzy gray relationship in the study area indicate that the parameters of lands were the highest (0.7028) and the network of waterways with (6892/0) obtained the lowest weight in landslide modeling of the Mollaghafar Drainage basin. Also, the high-risk area of landslides includes an area of nearly 294703 square meters of the total basin.