|Author:||Cheung, Ka-yiu Harvey|
|Title:||Landslide studies on the Guangzhou highway route 324 (Yunfu section) by use of multivariate analysis and geographic information systems|
|Subject:||Hong Kong Polytechnic University -- Dissertations|
Geographic information systems
Department of Land Surveying and Geo-Informatics
|Pages:||viii, 70 leaves : ill. (some col.), col. map ; 30 cm|
|Abstract:||Landslides have long been studied by different people including engineers, geologists, historians and mathematicians. They all have the same goal on how to predict the stability of slopes. Many methods have been used and different models have been developed. However, due to restrictions of the parameters, none of the models can summarize the general failure or the overall stability of the slopes. It is costly to investigate the stability of slopes, from site investigation to geotechnical methods, which involve a lot of machinery and manpower. In order to keep costs down and save time, new methods have to be developed to maximize the slope investigation process within a short period of time. This research illustrates an innovative method of applying a logistic regression method to the slope parameters and presents the results of the spatial distribution of these slopes on a GIS system. The Logistic Regression Method is used because the data is composed of nominal, cardinal and metric types. The probability of the slopes failure, instead of calculating the factor of safety or stability index, is calculated. The results shows that free face exposure, the presence of groundwater and friction angle are the three most important factors, from the statistical point of view, that affect slope stability. GIS is used to display the results in the form of spatial distribution. The advantage is that the distribution of both stable and unstable slopes can be visualized which helps further analysing the areal pattern of the failure slopes. The disadvantages are that there may be problems arising from the scales of maps used, the resolution of the digitised map and the insufficiency of data recorded.|
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