Study on method of mining subsidence parameters calculating for whole basin of mining area based on SBAS-InSAR

The cost of traditional measurement method to monitor mining subsidence is high, and always can not reflect the subsidence of the whole basin. So in order to monitor mining subsidence more comprehensively and efficiently, and determine the optimal probability integral prediction parameters, taking a mining area in Inner Mongolia as an example, the authors used SBAS-InSAR technology to process 27 Sentinel-1A data, and obtained the surface time series deformation of thewhole mining area from September 2017 to July 2018. Then, combined with the fruit fly optimization algorithm, 3 723 points in the whole basin were jointly calculated the optimal probability integral prediction parameters. The monitoring results show that the maximum surface subsidence caused by mining is 201 mm. Compared with the measured data, the average absolute error is 3.48mm, the standard deviation is 51.16 mm, and the root mean square error is 10.64 mm. It can be seen from the research that SBAS-InSAR technology can well monitor the whole basin deformation of the mining face. Besides,the fruit fly optimization algorithm can apply the mining subsidence results of the whole basin to the calculation of probability integral prediction parameters, and obtain a set of parameters with good effect. The predicted parameters of probability integral method are q=0.33,tan β=1.83,s=0.045H, θ0=89°.The research results provide a scientific basis for mining subsidence monitoring and parameter calculation of the whole basin