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Metal Mine ›› 2015, Vol. 44 ›› Issue (04): 195-200.

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Monitoring and Prediction of Mining Subsidence based on D-InSAR and Probability Integral Method

Yang Junkai1,Chen Bingqian2,Deng Kazhong1,He Qiang1,Zhao Weiying1   

  1. 1.School of Environmental Science and Spatial Informatics,China University of Mining & Technology,Xuzhou 221116,China;2.Key Laboratory of Mine Spatial Information Technologies,National Administration of Surveying,Mapping and Geoinformation,Jiaozuo 454000,China
  • Online:2015-04-15 Published:2015-08-04

Abstract: In order to obtain the deformation law of high grade highway near mining area and overcome the limitations of traditional mining subsidence monitoring methods,a mining subsidence monitoring and predicting method based on the combination of the Differential SAR Interferometry (D-InSAR) technique and probability integral method was presented.The D-InSAR technology was used to monitor and analyze the subsidence trend of the 9308 working face in Yanzhou,and the monitor results were compared with leveling data.Before modifying the prediction parameters into sufficiency mining condition,the probability integral method parameters of the 9308 working face under insufficiency mining were calculated using D-InSAR monitoring results.Then the influence of high grade highway due to coal mining was predicted using the modified prediction parameters.Experimental results verified that D-InSAR technology had high monitoring accuracy which can provide reliable data for the prediction of mining subsidence,and this method could provide strong support to realize the integration of monitoring and prediction of mining subsidence.

Key words: D-InSAR, Probability integral method, Mining subsidence, Prediction parameters