Loess Landslide Research In The Railway Project For Coal Transportation From Western Inner Mongolia To Central Region Of China By3S Technology

The Railway Survey and Route Selection, which is related to environment, economy and so on, is a very complex process. A railway project for coal transportation from the west of Inner Mongolia to central region of China, as an important national project, will be designed and built. However, it is going to face some difficult geological environment problems especially when passing Loess Plateau, where landslide, collapse and other bad geology phenomenons are very normal and have great influence to railway alignment. In this paper, the author has put part of Yan’an area, which the railway will pass through, as the research scope, put landform, formation lithology, geological structure, hydrological geology, engineering geology, traffic, weather, earthquake, known loess landslide data, remote sensing data and so on as source data, researched comprehensively the most common bad geology phenomenon—loess landslide based on3S technology in target area, analysisd and evaluated the feasibility of possible railway in this project. Main work and results are generalized as follows:(1) According to analyzing the relevant information and data structure in target area, a spatial database system for spatial analysis and research of loess landslide is built by the data management platform of ArcGIS. This can provide effective data support for landslide remote sensing interpretation and landslide risk zonation.(2) Landslide interpretation of specific procedures and methods have been induced,and remote sensing interpretation signs for loess landslide in target area have been established after reading and studying the known loess landslide data as well as literature related to Landslide Remote Sensing Interpretation.(3) A landslide interpretation of integrated environment is established in ArcGIS. Auxiliary information (such as landform, geology, hydrology, the known landslide data)can cover on different background(two-dimensional, three-dimensional, color, grey, satellite image, aerial image etc.) based on remote sensing data to supply multiple perspectives for landslide interpreter in order to ensure the quality of the result.(4) GPS(MG838type), which can load remote sensing images and landslide, has been used to verify the landslide interpretation result and collect related data to provide realistic basis for the second landslide interpretation.Finally,2343loess landslides,including the known landslide data,as important data source for statistical analysis and risk zonation was interpreted. (5) The control mechanism was revealed after analysing the relationship of18landslide factor data and their spatial distribution. Landslide factor weight determination model was established based on the correlation processing technique and mathematical analysis.(6) Information Model and Weight Overlay Model are used in target area for landslide risk zonation and evaluation. Considering characteristics of different models,size effect and topographic features, a comprehensive method is used to draw the final zonation results, and the landslide risk of different grades is evaluated separately.(7) The feasibility of possible railway has been evaluated comprehensively based on loess landslide interpretation and landslide risk zonation result. The best solution has brought into correspondence with the final solution adopted by decision-maker.