The Inversion Analysis of the Reservoir Saturation Landslide's Permeability Coefficient

Abstract

Determination of sliding body saturated permeability coefficient has an important significance for groundwater dynamic field, deformation and stability of reservoir landslide. Based on in-depth analysis of landslide geological characteristics, groundwater monitoring data, rainfall and reservoir water lever in Three Gorges Reservoir, it is found that reservoir water level is the main factor which affecting the groundwater dynamic field. According to two layers of sliding body, the saturated permeability coefficient test plan of two factors and three levels has been designed. Based on saturated-unsaturated seepage finite element and the reservoir water level fluctuation curve, groundwater saturation line has obtained under different combinations of parameters. Combined with genetic algorithm, an optimal neural network model was established to describe the nonlinear relationship between the sliding body saturated permeability coefficient and borehole water level. Then based on the monitoring data of borehole water level, the saturated permeability coefficient of two layers sliding body can be gotten. Finally, with the inversion parameters, it is found that the calculating water level results and the actual level of underground water are in good agreement. Results show that the inverse thought and method is feasible and effective, which can provide reference for the similar engineering.