Analysis and Trend Prediction of Surface Subsidence Patterns in Mining Areas Using D-InSAR Technology
Coal mining can cause surface subsidence,damage surface buildings,affect ecological environment,and even induce landslides,debris flows and other disasters,so it is of great practical significance to accurately analyze and predict the development law of surface subsidence.Taking 6306 working face of Dongtan Coal Mine as the test object,19 Sentinel-1A im-age data covering the area were selected to carry out the analysis and prediction of surface subsidence law based on D-InSAR technology.The main contents include:the time series data of the test area is obtained based on the"two-track method",and the analysis method and processing flow of SAR image data are constructed;Combined with the measured data of mining area and Sentinal-1A image data,the corresponding surface settlement law of 6306 working face is verified and analyzed.The accu-racy and effectiveness of LSTM,SVR and grey GM(1,1)methods were compared and analyzed.The results show that the D-In-SAR technique has high monitoring accuracy(maximum error is 18.3 mm,average difference is 5.4 mm)and wide area,and can effectively obtain the spatio-temporal evolution of surface deformation.In addition,compared with the traditional SVR and grey GM(1,1)prediction model,the average error of the proposed LSTM model is about 2.98 mm,which has higher accuracy.
万方数据
维普
