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Research Of Coal Mining Subsidence Deformation Monitoring Technology Based On InSAR

Posted on:2021-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:J Z ChangFull Text:PDF
GTID:2370330611471138Subject:Surveying and mapping engineering
Abstract/Summary:PDF Full Text Request
Coal resources have always been an important energy guarantee for China's economic development and social progress,and coal resources are non-renewable resources.For a long time,excessive reliance on coal resources has destroyed the natural ecological environment on which our people depend to a certain extent.Among them,the surface settlement in the mining area is the most serious,and it may even cause geological disasters.The settlement caused by mining in the coal mining area sometimes develops slowly,sometimes rapidly.In order to ensure the safety of people's lives and property,it is necessary to use certain technical means to monitor and predict the surface settlement of the mining area.Synthetic Aperture Radar Differential Interference(D-InSAR)technology is a technology with active microwave remote sensing,and it has the characteristics of high precision,all-weather and wide coverage compared to traditional settlement monitoring methods.Traditional settlement monitoring methods consume a lot of manpower and material resources,and it is difficult to achieve manual monitoring in areas with complex terrain.Traditional methods can only obtain a series of discrete points on the working surface of the study area,which has limited effect on the settlement mechanism on the surface area.Now InSAR technology has become a hot topic in the field of space-to-earth observation,and the advantages of InSAR technology are beyond the reach of traditional monitoring technology.The small baseline set(Small Baseline Set,SBAS)timing method can theoretically achieve millimeter-level accuracy.In the process of mine subsidence monitoring,the characteristics of the surface settlement rate of the mine area are fast and the settlement level is large,which is susceptible to time and space uncorrelation,atmospheric delay and other factors.This paper aims at the problem of InSAR technology in mining subsidence in the mining area of Hujiahe as an example,the monitoring and analysis of the mining subsidence in the well field is made by using the small baseline set technology,and combined with the weighted non-equidistant gray Verhulst model to establish the Hujiahe mining subsidence prediction model.The main work and results of the paper are as follows:(1)The basic principle of InSAR technology.The basic principles and main methods of InSAR and D-InSAR technology are briefly introduced,and on this basis,the processing flow of InSAR technology and the main sources of error are described in detail,and the time series InSAR technology-small baseline set is derived from this.The basic principle and processing flow of SBAS are briefly introduced.(2)In view of the surface subsidence problem of the Hujiahe mine field,the SBAS-InSAR technology was used to obtain 29 scenes of Sentinel-1A images to obtain the surface subsidence information of the well field.There were two obvious subsidence areas in the study period,combined with the mining face walking and tendency The analysis of profile lines and characteristic points shows that the subsidence area of this mine field is in good agreement with the distribution of mining face,mining conditions and mining distance.The GPS observations on the working surface are used to verify and analyze the monitoring results obtained by SBAS-InSAR.(3)Proposed the use of time series SBAS-InSAR technology and weighted non-equidistant gray Verhulst subsidence prediction model,the time series settlement amount monitored by SBAS-InSAR,the characteristic points on the walking and tendency of 401102 working face,and the establishment of Hujiahe mine field subsidence prediction model And evaluate the accuracy of the expected results.The results show that the prediction model established by time series SBAS-InSAR and gray-weighted unequal interval Verhulst algorithm has a good fit and high prediction accuracy,which meets the needs of engineering applications and provides a reliable theoretical basis for mining subsidence.
Keywords/Search Tags:Mining Subsidence, Time Series InSAR, D-InSAR, Gray model
PDF Full Text Request
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