Abstract
Landslides are usually initiated under complex geological conditions. It is of great significance to find out the optimal combination of predisposing factors and create an accurate landslide susceptibility map based on them. In this paper, the Information Value Model was modified to make the Modified Information Value (MIV) Model, and together with GIS (Geographical Information System) and AUC (Area Under Receiver Operating Characteristic Curve) test, 32 factor combinations were evaluated separately, and factor combination group with members Slope, Lithology, Drainage network, Annual precipitation, Faults, Road and Vegetation was selected as the optimal combination group with an accuracy of 95.0%. Based on this group, a landslide susceptibility zonation map was drawn, where the study area was reclassified into five classes, presenting an accurate description of different levels of landslide susceptibility, with 79.41% and 13.67% of the validating field survey landslides falling in the Very High and High zones, respectively, mainly distributed in the south and southeast of the catchment. It showed that MIV model can tackle the problem of “no data in subclass” well, generate the true information value and show real running trend, which performs well in showing the relationship between predisposing factors and landslide occurrence and can be used for preliminary landslide susceptibility assessment in the study area.
Highlights
Landslides are often triggered under the interaction of many factors
Geological environment instability is further aggravated in these areas, due to a combination of complicated geological structure, steep terrain, erosion of frequent heavy rain and human activities [1,2,3]
Dahl et al [1] carried out research in the Faroe islands in the North Atlantic and found that landslide initiation area was determined by slope, lithology, soil coverage, and the primary area mainly has slopes from 25 ̋ to 40 ̋
Summary
In sensitive regions of geological environment, the original structure of rock was damaged by frequent earthquakes, and loose debris mass gathered there. Many scholars in the field of landslides [6,7] found that research on predisposing factors for sensitive area is extremely important. In the sensitive regions of the geological environment, landslide predisposing factors, such as topography and geomorphology, geological structures, rock properties and hydrological conditions, interact with each other, which made it more difficult to determine the time and scale of landslides [9]. Scholars found that factors like topography and geomorphology, geological conditions, cutting intensity, vegetation environment, and human intervention are all indispensable in the study of geological predisposing factors, and the inner relationship between landslides and the predisposing factors should be further studied [10,11,12]. In practical analysis and evaluation of landslides, it is of great significance to find out the most influential combination of factors to landslides in specific area
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