Geological Hazard Susceptibility Assessment For Railway Network In Guizhou Province

In the recent decade, high-speed railway has experienced a period of flourish developing and a rational-oriented stage. All regions and cities are racing to build high-speed railway. High-speed railway has made a significant change in our life. It changed the way people view both time and space, shortened the temporal and spatial distance and promoted the local economy developing. However, a hyper-rapid development momentum of the high-speed railway leads to a limited demonstration without a long-time omni-directional consideration. For example, in some place with complex geological conditions and frequent geological disasters, high-speed railway will greatly disturbed the stability of the surrounding soil, thereby increasing the slope instability, but the investigation of relevant fields has not been systematically studied at domestic and overseas.This paper took Guizhou Province as the study area, which is one of the worst area that is prone to extensive and severe geological hazards in China. The purpose of this paper is to use a scientific model, first of all, classify Guizhou province into several classifications according to the different level of geological disaster susceptibility, then integrated the train speed, level of geological disaster susceptibility, and the fitting degree of landslide inventory and railway line, finally assessment the protection level of geological disaster for the planned railways in Guizhou Province.Based on these overall objectives, the main study of this paper is as follows:(l)The models and mathematical methods which can be used in the landslide susceptibility map are researched, and the advantages and disadvantages of the methods are summarized.(2) The landslide susceptibility classifications are acquired through application a kind of Artificial Neural Networks—competition network by combination of two large-scale software,Matlab and ArcGIS.7factors are taken into accord as the cause factors of landslide, they are:lithology, rainfall, proximity to river, proximity to tectonic line, karst density and slope.(3) Railway line will be regard as a regression line (curve), and the landslide inventory of both sides of the railway line will be regard as the discrete points of this regression line (curve), based on which the concept of’degree of fitting’in the assessment of railway risk level was proposed, and the’degree of fitting’was regarded as one of the3factor which determine the railway protection level of geological disaster.(4) The matter-element model was established based on extenics, which can be used to evaluate the protection level of geological disaster for the planned railway. The3factors which are taken as influent factors for railway protection level, they are:speed, degree of fitting, landslide weight. All the protection level for planning railways are obtained through programs.This paper uses two theoretical models, competing network and extenics methods, two large-scale software, Matlab and ArcMap were combined, and two kinds of programming languages, Matlab and VB were adopt.