Investigation of the groundwater efect on slow-motion landslides by using dynamic Kalman fltering method with GPS: Koyulhisar town center

Abstract

The monitoring and analysis of natural disasters and their systems is crucially important in minimizing loss of life and property. In recent years, various methods of measurement and analysis have been employed to monitor and analyze landslides and their mechanisms. Te Global Positioning System (GPS) is one of the methods used to monitor landslides. Te consideration of external forces causing movement is essential when interpreting movement obtained by GPS. Tis paper describes a large motion in the Koyulhisar town center obtained from one GPS point. Twelve GPS points were set up in the Koyulhisar landslide region; 6 periods of GPS measurements were performed. Te resultant data were processed using Bernese V5.0 sofware and coordinate information related to the points was obtained. In this study, the relationship between large motion and external forces was mathematically determined in a diferent way from previous studies. Te coordinate information was frst analyzed using the kinematic Kalman fltering technique and time-dependent speed and acceleration values for the points were determined. Data from the points at which signifcant displacements were observed were then analyzed using the dynamic Kalman fltering technique and the relationship between signifcant movements and temperature was modeled. Finally, the dynamic and kinematic model results were compared; it was observed that the displacements predicted by the dynamic model were more consistent with real values. It is concluded that accuracy in developing prediction models for deformations in landslides would be improved by using a dynamic deformation model containing either forces causing deformations or functions of quantities related to these forces.

The monitoring and analysis of natural disasters and their systems is crucially important in minimizing loss of life and property. In recent years, various methods of measurement and analysis have been employed to monitor and analyze landslides and their mechanisms. Te Global Positioning System (GPS) is one of the methods used to monitor landslides. Te consideration of external forces causing movement is essential when interpreting movement obtained by GPS. Tis paper describes a large motion in the Koyulhisar town center obtained from one GPS point. Twelve GPS points were set up in the Koyulhisar landslide region; 6 periods of GPS measurements were performed. Te resultant data were processed using Bernese V5.0 sofware and coordinate information related to the points was obtained. In this study, the relationship between large motion and external forces was mathematically determined in a diferent way from previous studies. Te coordinate information was frst analyzed using the kinematic Kalman fltering technique and time-dependent speed and acceleration values for the points were determined. Data from the points at which signifcant displacements were observed were then analyzed using the dynamic Kalman fltering technique and the relationship between signifcant movements and temperature was modeled. Finally, the dynamic and kinematic model results were compared; it was observed that the displacements predicted by the dynamic model were more consistent with real values. It is concluded that accuracy in developing prediction models for deformations in landslides would be improved by using a dynamic deformation model containing either forces causing deformations or functions of quantities related to these forces.