| Coal mining is an important industrial activity in China.However,it is very easy to damage the local environment and cause various disasters such as surface collapse and surface water backfilling.The traditional monitoring methods in the mining area are limited by working mode,cost,and geographical environment,which may not allow efficient monitoring.As a new space geodetic technology,the development of the Interferometric Synthetic Aperture Radar(InSAR)technology has brought irreplaceable advantages to real-time,highefficiency and high-precision monitoring of surface settlement in mining areas.In this study,we took Sandaoling Coal Mine,a state-owned key coal mine in Hami,Xinjiang,as the research object,and characterized the surface subsidence of the mine area with InSAR technology,so as to evaluate the potential damage caused by the subsidence of the mine area.Based on the Okada rectangular dislocation model,this paper inverted the surface deformation to retrieval the key parameters of the fully mechanized mining face,and from the inversion results,this paper estimated the annual mining volume of Sandaoling Coal Mine.The purpose of this paper is to provide scientific and effective data support for preventing ground subsidence disasters in mining areas,and to provide a more reliable scientific method for understanding the mining area subsidence mechanism,facilitating the grasping and management of mining information on underground fully mechanized mining face.The main work content and conclusions include the following aspects:This paper obtained Sentinel-1A and PALSAR data.In view of the large amount of data are required by MT-InSAR technology and Sentinel-1A data has the characteristic of free openness,short return cycle,and high resolution,it is possible to explore large gradient deformation in mining area based on Sentinel-1A.And this paper took the wavelength of Sentinel-1A into consideration,thus its coherence in Sandaoling Coal Mine was analyzed.The results showed that the Sentinel-1A data had good coherence in this area.Due to the limitations of the PALSAR data source,based on two scenes of PALSAR images,this paper used DInSAR technology to preliminarily grasp the deformation profile of the mining area,the results showed that the time baseline of PALSAR data was too long,It is very easy to cause out of coherence in the deformation center,and the information of the deformation center was seriously missing in the DInSAR results.For large-scale deformation of mining areas,considering the limitations of DInSAR,this paper selected the MT-InSAR technology that based on multi-master image,which can control the spatial-temporal baseline to improve the monitoring accuracy.And then the adaptability and reliability of typical SBAS and Stacking InSAR methods in mining area deformation monitoring were studied,in order to using the method that is more suitable for the mining area to monitor the spatial-temporal evolution characteristics of the Sandaoling coal mine settlement,this paper found that the SBAS monitoring settlement result was lower,which was more suitable for accurate monitoring of low-speed surface deformation.In addition,Stacking InSAR can accurately extract a large gradient deformation in the mining area,and can obtain the settlement center information more completely.Then,based on the Stacking time series InSAR method,the subsidence information of Sandaoling Coal Mine from 2017 to 2019 was obtained to study the spatial-temporal evolution characteristics.This paper found :1)The subsidence of the mining area was affected by the freezing period,the melting period,the ice and snow melt water and the concentrated rainfall,thus It had a certain seasonal fluctuation.2)Surface settlement and settlement pit was filled with water may be the major threats to mine safety.Finally,in order to further understand the surface settlement mechanism of the mining area,grasp the mining status of the underground working face,this paper used the deformation field obtained by Stacking InSAR method as a constraint,based on the Okada rectangular dislocation tensile crack model,and inverted key parameters of each fully mechanized mining faces in Sandaoling Coal Mine,The modeling results showed that the information such as depth,width and length of the fully mechanized coal mining face were basically consistent with the actual situation.Using the inversion results,this paper estimated the annual mining volume of Sandaoling Coal Mine,which was consistent with the reported annual production capacity,and proved the feasibility of the simplified dislocation model in the inversion of coal mine underground mining parameters... |
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