Parameter Inversion Model for Mining Subsidence Prediction Based on Fusion of InSAR and GA

Considering that conventional differential interferometry synthetic aperture radar (D-InSAR) techniques are impossible to calculate all the parameters of probability integral method, this paper studies the parameters inversion of probability integral method based on fusion of D-InSAR and genetic algorithm(GA). ①In mining area, the deformation along line of sight(LOS) direction by D-InSAR is the projection of sinking, north-south and east-west horizontal movement along LOS direction. Based On GA theory, the probability integral full parameters inversion model is firstly established based on D-InSAR and GA. Moreover, the parameter calculation software is compiled. The simulation experimental results show that the relative errors of q, tanβ, b, θ are not more than 6.7%, the relative error of the inflection point offset S is not more than 20%. The fitting error is between -5.90-6.10 mm, and the fitting mean square error is within±2.20 mm. The effect of the whole parameter calculation is better. ②Taking advantage of the probability integral full parameters inversion model based on fusion of D-InSAR and GA, under certain assumptions, we obtain the dynamic predicting parameters of mining subsidence in 9310 working face on Mar. 11, 2012. The results are as follows:q=0.172, b=0.13, tanβ=2.08, θ=88°, S₁=-10 m, S₂=9 m, S₃=-85 m, S₄=30 m, the fitting error is -35.00-45.00 mm, and the fitting mean square error is within ±15.16 mm. The mining of 9310 working face causes the instability of cantilever beam or masonry beam in the boundary of the adjacent 9312 goaf, thus making S₃ be -85 m. The research results have significant reference value to monitoring mining deformation by D-InSAR.