نوع مقاله : مقاله پژوهشی
1 عضو هیات علمی مرکز تحقیقات و آموزش کشاورزی و منابعطبیعی خراسانرضوی
2 مرکز تحقیقات کشاورزی و منابع طبیعی لرستان
عنوان مقاله [English]
Landslides are one of the most destructive natural disasters. When landslides occur not much work can be done, but damage can be reduced with pre-determined planning. Therefore, it is necessary to prepare a comprehensive landslide susceptibility map to reduce possible damage to people and infrastructure. The purpose of this study is to prioritize the factors affecting the occurrence of landslides and zoning the sensitivity of its occurrence using the maximum entropy method in the Neishabour watershed, located in Khorasan Razavi province. For this purpose, 16 factors affecting the occurrence of landslides in the study area were selected and their layers was prepared in the GIS. In order to model the sensitivity of landslides, 70% of landslides were randomly selected for training (calibration) of the model and 30% for validation of model results. In order to evaluate the results of the model, ROC curve was used using two sets of training and validation data. According to the results of Jackknife diagram, among the selected parameters in the modeling process, the slope length (LS) layers, respectively, slope direction and slope have the most participation and impact in the occurrence of landslide landslides. The area under the curve (AUC) based on the relative performance detection curve indicates excellent accuracy (AUC = 0.92) in the training phase and very good (AUC = 0.87) in the validation phase. Based on the results of the maximum entropy model, about 13% of the Neishabour load field is located in the high and very high sensitivity zones.