CONSTRAINT RANDOM MEDIUM PREDICTION MODEL OF GROUND SUBSIDENCE BASED ON INSAR DATA

摘要

This paper analyzes land subsidence caused by the groundwater. The random medium model of land subsidence is established. Using the InSAR monitoring data for land subsidence, the random medium model with constraints on the settlement. Constraint random medium model by the InSAR monitoring data can better solve distortion forecasting data caused by incomplete geological data. It plays a positive role to effectively prevent the damage of land subsidence.