Application of a Smoothing Method to Measured Displacements of Large Slopes by Using the GPS Monitoring System

Abstract

The GPS displacement monitoring system has been developed by the authors to assess the stability of large slopes. In order to provide more accurate measurement results, a stochastic smoothing method (the trend model) is applied to displacements measured by the system in this paper. Five types of displacement behavior are supposed as the monitoring results; i. e., 1)static stable state, 2)step displacement, 3)steady rate displacement, 4)converging creep, and 5)tertiary creep. Numerical simulations are conducted for the above displacement behavior types using data measured at a limestone quarry to investigate the applicability of the trend model. It is shown that the trend model can improve the accuracy of the measurement results through those simulations.