| The mining of coal resources will cause different degrees of damage to the rock strata and the surface.It is of great significance to study the law of surface movement and deformation caused by mining subsidence and carry out real-time monitoring and prediction for better guidance of mining practice.In this paper,stratified mining of thick coal seam in Barapukuria Mine is taken as the research object,the law of surface movement and deformation under the condition of repeated mining in Barapukuria Mine is studied,and the surface movement parameters are comprehensively analyzed.The terrain change monitoring of the mining area is studied by using SBAS-In SAR technology,and the typical curve method prediction model of Barapukuria Mine is established.The main work and research results of this paper are as follows:By processing and analyzing the measured data of four surface movement observation stations in the second and third layer of Barapukuria Mine,the movement and deformation values and surface movement parameters of each observation station are obtained,and the surface movement and deformation law under the condition of repeated mining in Barapukuria Mine is studied.The surface movement parameters and geological and mining conditions of 10 observation stations and 16 observation lines in Barapukuria Mine are comprehensively analyzed to study the dynamic surface movement and deformation law of Barapukuria Mine.The relation expressions of the leading influence Angle,surface movement duration,maximum subsidence velocity,lag distance and lag Angle with geological and mining conditions are obtained.The linear relationship between the surface movement Angle parameters such as boundary Angle,movement Angle,full mining Angle and maximum subsidence Angle and various geological and mining conditions is analyzed by regression.The empirical formula of probability integral parameters such as subsidence coefficient and tangent of main influence Angle under different mining times of Barapukuria Mine is studied.Summarize the method to obtain the surface movement parameters under the condition of repeated mining in Barapukuria Mine.SBAS-InSAR technology was used to process the Sentinel-1A data of 18 scenes covering the study area within 205 days,and the surface time-series subsidence and annual subsidence rate in LOS direction caused by mining of 1314 working face were obtained.D-In SAR and leveling data were used to verify the reliability of SBAS monitoring results.The experiment provides a basis for evaluating the impact of mining on villages,makes up for the shortage of measured data in villages,and provides guidance for building damage assessment.The prediction parameters of probability integral method were obtained by combining SBAS monitoring values and leveling data at the edge of subsidence basin,which proved the feasibility of the mining subsidence prediction model combining SBAS technology and probability integral method.In this paper,the typical curve method prediction model of Barapukuria Mine is established,and the distribution law of the typical subsidence curve is analyzed.At the same time,the mining subsidence prediction program based on the typical curve method is developed based on MATLAB language,and the mining subsidence prediction applicable to the whole basin is realized.The reliability of the predicted software is verified by the measured data of the observation station.Finally,the surface movement and deformation of 1307 and 1312 of the three-layer planning mining face in Barapukuria Mine are predicted by using the prediction software.In this paper,the law of mining subsidence and its prediction method are deeply studied,which provides a scientific basis for mining under the condition of repeated mining of thick coal seam in Barapukuria Mine,so as to reduce or prevent mining damage.It has important practical significance for mining subsidence monitoring and sustainable development of mining area.This paper has 73 pictures,26 tables and 93 references. |
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