Landslide Hazard Assessment Using Information Value and LNRF Models

The main purpose of this study is landslide Hazard assessment the Ziarat watershed (Golestan province) using Information value and LNRF models within geographic information. At first stage, a landslide inventory map was prepared in the study area using earlier reports and aerial photographs, and a total of 50 landslides was mapped and out of which 35 (70%) were randomly selected for building landslide susceptibility model, while the remaining 15 (30%) were used for validating the model. In the second stage, fourteen data layers were used as landslide conditioning factors for Hazard mapping. These factors are slope percent and aspect, altitude, plan curvature, precipitation amount, lithology, land use, soil texture, distance from faults, distance from rivers, distance from roads, topographic wetness index (TWI) and stream power, CTI (Sediment Transport Index)and stream power index (SPI). Afterward, landslide Hazard zoning map was produced using information value and LNRF models. For verification, the receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The Verification results showed that the area under the curve for Information value and LNRF is equal to 98.2 and 80.4 % with standard errors of 0.018 and 0.08, respectively. So, the produced Hazard maps will be useful for general land use planning and hazard mitigation purpose. Thus, the landslide hazard mapping produced from this study will be useful to the planners and engineers to reorganize the areas which are susceptible for landslide hazard and they may evolve suitable remedial measures for Hazard reduction and management.