Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND     

Aiding Kornejady  Majid Ownegh  Omid Rahmati  Abdolreza Bahremand 《国际地球制图》2013,28(11):1155-1185

Abstract

The main objective of this study is to assess the relative contribution of the state-of-the-art topo-hydrological factor, known as height above the nearest drainage (HAND), to landslide susceptibility modellling using three novel statistical models: weights-of-evidence (WofE), index of entropy and certainty factor. In total, 12 landslide conditioning factors that affect the landslide incidence were used as input to the models in the Ziarat Watershed, Golestan Province, Iran. Landslide inventory was randomly divided into a ratio of 70:30 for training and validating the results of the models. The optimum combination of conditioning factors was identified using the principal components analysis (PCA) method. The results demonstrated that HAND is the defining factor among hydrological and topographical factors in the study area. Additionally, the WofE model had the highest prediction capability (AUPRC = 74.31%). Therefore, HAND was found to be a promising factor for landslide susceptibility mapping.  相似文献   

Application of the coupled TOPSIS–Mahalanobis distance for multi-hazard-based management of the target districts of the Golestan Province,Iran     

Sheikh  Vahedberdi  Kornejady  Aiding  Ownegh  Majid 《Natural Hazards》2019,96(3):1335-1365

Natural Hazards - This study is aimed at producing an improved ranking method by coupling the technique for the order of preference by similarity to ideal solution (TOPSIS) and Mahalanobis distance...  相似文献