GNSS实时动态定位在短期滑坡位移检测中的应用

Application of GNSS real-time dynamic positioning in short-term landslide displacement detection

全球卫星导航系统(GNSS)是滑坡检测最有效的手段之一。本文针对目前利用GNSS进行短期滑坡检测存在的不稳定、容易受到粗差和观测噪声影响的问题,给出了一种基于GNSS动态定位时间序列分割的短期位移检测方法,进行了重大位移检测仿真实验和小位移检测仿真实验研究。其中,重大位移检测到的三种位移的误差百分比分别为12.8%、6.1%和5.9%,小位移检测到的三种位移的误差百分比分别为2.5%、9%和4%。实验结果表明本文所设计的两个仿真实验中的各突变均能被准确检测,检测结果可达亚厘米精度。通过本文所给方法中由当前历元与GNSS动态学定位得到的前历元坐标构成的检测窗口和基于时间序列分割的统计方法,减少了局部扰动对短期位移检测的影响。

Global navigation satellite system(GNSS) is one of the most effective methods for landslide detection.At present,short-term landslide detection using GNSS is unstable and easily affected by gross errors and observation noise.To solve these problems,this paper proposed a short-term displacement detection method based on GNSS dynamic positioning with time series segmentation and conducted major and small displacement detection simulation experiments.Specifically,the error percentages of the three displacements detected in major displacement simulation experiments were 12.8%,6.1%,and 5.9%,respectively,and the error percentages of the three displacements detected in small displacement simulation experiments were 2.5%,9%,and 4%,respectively.The experimental results show that each mutation in the two designed simulation experiments can be accurately detected,and the detection results can reach sub-centimeter accuracy.Through the detection window formed by the current epoch and the previous epoch coordinates obtained from GNSS dynamic positioning in the proposed method and the statistical method based on time series segmentation,the influence of local disturbances on short-term displacement detection is reduced.