Estimation of pore water pressure in aquifers using a time series model based on field observation in landslide site

Abstract

In this study, a state-space model based on a tank model was constructed, and field observation data obtained from a landslide site in Kobuchi area, Akita Prefecture, from 2018 to May 2022, were fitted. The estimation was conducted for outflow volume from the landslide site and the water levels in five representative boreholes. The estimated results obtained through Markov chain Monte Carlo method fairly captured the behaviors of water levels and outflow volume. Furthermore, based on the estimated water levels of the tanks, the changes in pore water pressure acting on the aquifers of the landslide site were estimated.