Zoning the risk of slope instability in Garmi city by fuzzy ANP method

One of the primary and necessary measures to manage slope instabilities and reduce the damage caused by them is to prepare a zoning map of slope instabilities and identify areas at risk. The aim of this study is to zoning the risk of slope instability in Garmi city using fuzzy ANP model. For this purpose, maps of factors affecting the occurrence of slope instabilities (slope, slope direction, elevation, lithology, distance from fault, soil, land use, vegetation index, distance from the road, rainfall and distance from the river) were prepared in ArcGis software environment. . To implement the fuzzy ANP model, all 11 factors were involved and the desired network was formed. Criterion weighting was performed in a network analysis model using a questionnaire. By combining the obtained weights obtained from Super decision software with the corresponding layers in ArcGis software environment, the final map of fuzzy ANP model was obtained. As a result, the zoning map provided the risk of domain instability with good accuracy.