Abstract: In light of the deficiency of the mining-induced subsidence monitoring methods and prediction models at present in China, a method of exponent Knothe model parameters estimation combined leveling with InSAR(interferometric synthetic aperture radar) technique is proposed and the fitting and prediction accuracy of exponent Knothe model is analyzed. Firstly, one workface is selected as the study area, eight leveling measurements and five scenes of radar images are collected to achieve the time series subsidence information in the leveling points. Secondly, the results of rock strata movement deformation caused by mining activities are analyzed. Then, the unknown parameters of exponent Knothe model are estimated and two fitting subsidence curves are constructed by combining leveling with InSAR and only by leveling measurements, respectively. Finally, the two fitting curves are used to estimate the fitting values and prediction values; and the effect of InSAR observations on the fitting and prediction accuracy is analyzed by comparing the fitted and predicted data with the measured data in the leveling points. The results show that the measurement accuracy of InSAR technique meets the actual mining requirements and the ground deformation is consistent with the strata movements. In addition, the fitting subsidence curves can be optimized and the fitting and prediction accuracy of exponent Knothe model is obviously improved combined with InSAR technique in the leveling points.

Key words: InSAR(interferometric synthetic aperture radar) technique, exponent Knothe model, strata movement, parameters estimation, fitting accuracy, prediction accuracy