Rapid And Efficient Regional Landslide Susceptibility Assessment Model Based GIS And RS Technology

"5 ? 12" earthquake triggered landslides of debris flow source in high intensity area is more development, the accumulation of loose material is more abundant, the same year in Beichuan County, "9 ? 24" storm made landslides in debris flow source further revival and produced a large number of new landslides so that increased the frequency and scale of debris flow in earthquake areas. In recent years, frequent geological disasters bring enormous material property losses and death to human . so forecast and early warning, disaster prevention and reduction for landslides,debris flow and other geological disasters should be imperative. the rapid development of the geographic information system (GIS) and remote sensing (RS) provides a good technical support for landslide and debris flow Susceptibility assessment.This research which relys on GIS and RS technology and bases on high accuracy DEM data and historical landslide inventory of the study area , aims at achieving large-scale landslides on fast, efficient, low-cost, high-precision susceptibility assessment ,which can help us make right decisions for landslide disaster prevention. Due to various inherently uncertainty of terrain parameters , the independence of the different terrain parameters,the quality of basic data and incompleteness of basic information of geological disaster area, it is very difficult to geological disaster area forecast. This paper will propse an improved analysis model which learns from others experience, that advantages and disadvantages of the existing regional landslide susceptibility assessment model. The improved model will obtain landslide susceptibility map after terrain failure susceptibility and runout susceptibility integration.Terrain failure susceptibility assessment model forecasts potential landslide sources and gives them susceptibility levels based on Information Value method .In this model,which has contributed to the terrain slope stability factors will be used as the evaluation factor for the slope deformation and instability.DEM-based hydrological model is mainly for assessing runout behavior susceptibility levels. The final evaluation results will arrive from the overlay analysis on these two thematic maps of susceptibility levels.