摘要
为了提高非充分采动条件下地表沉陷预测参数反演精度,提出基于单视线向差分合成孔径雷达的地表沉陷预测参数反演方法。根据单视线向位移量和概率积分法预测模型中的位移量(下沉和水平移动)之间函数关系,推导了视线向位移与地表沉陷预测参数之间的函数关系。开展了参数反演模拟实验,结果表明,利用在无噪声、低噪声、高噪声条件下反演的地表沉陷预测参数,模拟地表走向和倾向位移量,拟合误差不超过10 mm,求取的地表沉陷预测参数的相对误差均能保持在5%以内。利用本文提出的参数反演方法进行全局最优拟合,得到实验区地表沉陷预测参数,将实测下沉量与预测下沉量进行对比,均方根误差为11.8 mm,预测精度能够满足工程要求。
In order to improve the prediction parameters inversion accuracy of surface subsidence under subcritical mining conditions, an inversion method of surface subsidence prediction parameters based on single line of sight Differential Synthetic Aperture Radar was proposed. According to the functional relationship between the displacement in the single line of sight and the displacement(subsidence and horizontal movement) in the prediction model of the probability integral method, the functi: onal relationship between the line-of-sight displacement and the prediction parameters of the surface subsidence was established. Parametric inversion simulation experiments were carried out, the simulated results showed that the fitting errors is less than 10 mm under the conditions of no noise, low noise and high noise, the relative errors of surface subsidence prediction parameters can be kept within 5% by simulating the surface strike and dip displacements. Based on the parameter inversion method proposed in this paper, the predicted parameters of the surface subsidence of the experimental mine area were obtained by global optimal fitting, the observed and predicted results of surface subsidence was compared, the root mean square error was 11.8 mm, the prediction accuracy can meet the engineering requirements.
作者
柴华彬
胡吉彪
丁亚辉
耿思佳
管鹏举
CHAI Huabin;HU Jibiao;DING Yahui;GENG Sijia;GUAN Pengju(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,Henan 454003,China)
出处
《测绘科学》
CSCD
北大核心
2022年第7期77-84,共8页
Science of Surveying and Mapping
基金
国家自然科学基金重点项目(U1810203,U1261206)
煤炭工业协会科技计划资助项目(MTKJ-2015-281)
