Abstract:

In order to evaluate the stability of gravel soil landslide based on the geological exploration information and experiment result, a multiple property regression model with one variable was created. Seven influencing factors such as the gravity of sliding body, angle and length of sliding surface, hydraulic gradient, immersion area, cohesion and internal friction angle were selected to conduct the regression analysis of stability coefficient and the significant research on these factors by using the model based on observed data of 14 engineering geological profiles of Guanjia landslide. The regression equation for calculating the stability coefficient of slopes was obtained, and Xinchang Xiashan landslide was taken to evaluate the accuracy of the model. Research results indicated that there was an obvious regression of the equation which was established according to the linear regression model. So the model can be used to calculate and analyze the stability of landslides. Factors that have significant influence on stability coefficient were determined by this model, and combined with the actual geological conditions, it was found that groundwater has a significant impact on the stability of landslides, which provides some useful references for the early-warning and prediction of landslide hazards and effective engineering control measures. The condition of Xinchang Xiashan landslide is between stability and instability,  intensive monitoring should be carried out during heavy rainfall periods.

Key words: landslide, analysis of stability, multiple property regression model with one variable, early-warning and prediction, project management, slopes stability