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- 2018
融合InSAR和GA的开采沉陷预计参数反演模型研究
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Abstract:
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
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