1. 融合InSAR和GA的开采沉陷预计 参数反演模型研究.
- Author
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王磊, 张鲜妮, 池深深, and 查剑锋
- Abstract
Considering that conventional differential interferometry synthetic aperture radar ( D-In-SAR) techniques are impossible to calculate all the parameters of probability integral method, this paper studies the parameters inversion of probability integral method based on fusion of D-I11SAR and genetic algorithm(GA). ®In mining area, the deformation along line of sight(LOS) direction by D-InSAR is the projection of sinking, north-south and east-west horizontal movement along LOS direction. Based On GA theory, the probability integral full parameters inversion model is firstly established based on D-InSAR and GA. Moreover, the parameter calculation software is compiled. The simulation experimental results show that the relative errors of q , tanβ, b , 0 are not more than 6. 7%, the relative error of the inflection point offset is not more than 20%. The fitting error is between — 5.90-6.10 mm, and the fitting mean square error is within + 2.20 mm. The effect of the whole parameter calculation is better. ©Taking advantage of the probability integral full parameters inversion model based on fusion of D-InSAR and GA, under certain assumptions, we obtain the dynamic predicting parameters of mining subsidence in 9310 working face on Mar. 11, 2012. The results are as follows: q = 0.172, β = 0.13, tanβ=2.08, 0 = 88°, S1 = ”10 m, S2 = 9 m, S3 = — 85 m, S4=30 m, the fitting error is —35.00-45.00 mm, and the fitting mean square error is within +15.16 mm. The mining of 9310 working face causes the instability of cantilever beam or masonry beam in the boundary of the adjacent 9312 goaf, thus making S3 be —85 m. The research results have significant reference value to monitoring mining deformation by D-InSAR. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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