Abstract:
Landslide is one of the most common geological disasters, which has a great impact on human life. Therefore, it is of great significance to carry out stability analysis a...Show MoreMetadata
Abstract:
Landslide is one of the most common geological disasters, which has a great impact on human life. Therefore, it is of great significance to carry out stability analysis and spatio-temporal prediction of landslide for economic development and people’s safety. In this paper, Geo-Studio software is firstly used to carry out two-dimensional modeling and simulation calculation of a village landslide in Shaanxi Province, the stability coefficient of the landslide is then calculated, and the stability analysis is done to predict the location of the landslide and the shape of the slip surface. Then, we used landslide displacement monitoring data to predict the displacement of a landslide in Hubei Province based on the grey model. Finally, the simplified model of stability coefficient is constructed to predict the possible occurrence time of the landslide, taking the stability coefficient sequence as the input parameter. The results show that the absolute error of predicting the displacement of the landslide based on grey prediction model is only 4.455%, and the maximum absolute value of the error for predicting the landslide occurrence time estimated by the simplified model of the stability coefficient is 0.046. The prediction accuracy is high, and the prediction effect is good.
Published in: 2023 30th International Conference on Geoinformatics
Date of Conference: 19-21 July 2023
Date Added to IEEE Xplore: 13 September 2023
ISBN Information: