A Dynamic Prediction Method of Deep Mining Subsidence Combines D-InSAR Technique

Abstract

Abstract Traditional monitor measure methods can’t satisfy the demand for the large area of deep mining subsidence prediction and monitor. Put forward a dynamic prediction combine the probability-integral method with the D-InSAR (Differential Interferometric Synthetic Aperture Radar) measure technique base on the conclusion of mining subsidence prediction and monitoring technology's exist problems. Combine the probability-integral method calculate the surface subsidence threshold value with the surface subsidence and deformation rates measured by D- InSAR technique, composition the dynamic prediction method which can calculate the subsidence rate and time threshold. The subsidence rate and time threshold calculated by mining dynamic prediction method can more accurately predict the level of deep mining subsidence and quantitative estimates the regularity of damage evolution of environmental resources.