Analysis of Shallow Slide in Slope Based on Phase Space Reconstruction of Soil Moisture Content

Meteorological conditions such as periodic rainfall, evaporation and wet-dry cycle can lead to changes in soil moisture content of the slope, which can lead to instability or shallow slide. The chaotic nature of the time series of soil moisture content derived from satellite was identified, and then the time series was reconstructed into a high-dimensional phase space to predict the soil moisture. Finally, the predicted soil moisture was used to analyze the shallow slide in slope in the future period. As a comparison, phase space method and linear regression method were used to analyze the slope in the study area. The predicted soil moisture content based on the phase space is very close to the measured value. The calculation results of GeoStudio software show that based on the phase space prediction, the slope will be in a stable state in the future period, which is consistent with the prediction results of Markov chain. The predicted soil moisture content based on the linear regression method is different from the measured value by 15.3%, which make the slope safety factor larger and cause misjudgment. Therefore, the proposed method can be used as a supplement to the traditional research on shallow slide in slope.