Research on deformation extraction method of coal mine goaf based on three-di-mensional and full parameter inversion
Accurately extracting surface deformation is essential for the prevention and control of geological hazards caused by under-ground coal mining.By taking a working face in Guotun Coal Mine,Shandong Province,as the case study,this paper first obtains 18 Sen-tinel-1A satellite images during the extraction period of the working face(July 31,2017,to May 3,2018),and derives the surface deforma-tion of the goaf area based on SBAS-InSAR technology.Then,driven by InSAR observations,the functional projection relationships for the three-dimensional parameters between the probability integration method(PIM)and line-of-sight(LOS)deformation derived by SBAS-InSAR are deduced,and a three-dimensional and full-parameter inversion model based on genetic algorithm with random error elimina-tion(GAREE)is proposed.Based on this model,the subsidence parameters inside the study area are accurately retrieved with the devi-ation for each parameter less than 3%compared with the empirical parameters.Finally,by using the retrieved parameters,PIM is em-ployed to predict the whole goad deformation with the predicted results highly consistent with the field leveling data.The root mean square errors(RMSE)on observation line A and line F are 0.083 m and 0.102 m,respectively,and the mean absolute errors(MAE)are 0.068 m and 0.089 m,respectively.Results show that the parameter inversion model proposed by this study can effectively obtain the subsidence information for the whole basin of a mining goaf in a low-cost way,providing scientific and significant importance for engineering applic-ation and potential disaster predictions in coal mining areas.
goaf deformationprobability integral methodSBAS-InSARrandom error elimination3D full-parameter inversion
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