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融合InSAR和GA的开采沉陷预计参数反演模型研究
引用本文:王磊,张鲜妮,池深深,查剑锋.融合InSAR和GA的开采沉陷预计参数反演模型研究[J].武汉大学学报(信息科学版),2018,43(11):1635-1641.
作者姓名:王磊  张鲜妮  池深深  查剑锋
作者单位:1.安徽理工大学测绘学院, 安徽 淮南, 232001
基金项目:国家自然科学基金41602357国家自然科学基金41474026安徽省博士后基金2014B019安徽高校自然科学研究项目KJ2016A190
摘    要:针对基于常规合成孔径雷达差分干涉测量(differential interferometry synthetic aperture radar,D-InSAR)技术成果无法反演全部概率积分参数问题,开展了融合D-InSAR和遗传算法(genetic algorithm,GA)的概率积分参数反演方法研究。①依据采动区D-InSAR视线(line of sight,LOS)方向变形为下沉和南北、东西方向水平移动沿LOS方向投影的关系,基于GA理论,首次构建了融合D-InSAR和GA的概率积分法预计全参数反演模型,并编制了求参软件。模拟实验结果表明,q、tanβ、b、θ的相对误差不超过6.7%,拐点偏移距S相对误差不超过20%(参数敏感度低,对求参整体效果影响小);求参拟合下沉误差为-5.90~6.10 mm,拟合中误差约为±2.20 mm,整体求参效果较好。②利用融合D-InSAR和GA的概率积分法预计全参数反演模型,在一定的假设条件下,对2012年3月11日9310工作面开采沉陷的动态概率积分参数进行了求取,得到q=0.172,b=0.13,tanβ=2.08,θ=88°,S1=-10 m,S2=9 m,S3=-85 m,S4=30 m,拟合误差约为-35.00~45.00 mm,拟合中误差为±15.16 mm,并认为S3=-85 m主要为9310工作面开采导致邻近9312采空区边界的悬臂梁或砌体梁失稳"活化"所致。

关 键 词:D-InSAR    LOS方向移动    遗传算法    概率积分参数
收稿时间:2017-08-02

Parameter Inversion Model for Mining Subsidence Prediction Based on Fusion of InSAR and GA
Institution:1.School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan 232001, China2.Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou 221116, China
Abstract:Considering that conventional differential interferometry synthetic aperture radar (D-InSAR) 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-InSAR and genetic algorithm(GA). ①In 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, θ are not more than 6.7%, the relative error of the inflection point offset S 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. ②Taking 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, b=0.13, tanβ=2.08, θ=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.
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