2020 Volume 76 Issue 1 Pages 52-66
The authors have tried to estimate the seepage analysis models based on field measurement data of volumetric water content using the merging particle filter which is one of the data assimilation methods. In the previous studies, one-dimensional seepage analysis models were assumed, and unsaturated seepage behaviors were simulated by setting the free drainage boundary condition at the bottom of the one-dimensional models. However, in the case of heavy rain, because of the observation rising groundwater level at a field slope, the simulation setting the free drainage boundary condition could not reproduce the field measurement data. In this study, the authors proposed a new method estimating the seepage analysis model including the boundary condition at the bottom of the one-dimensional model using merging particle filter, and the applicability of the proposed method was verified. As a result, the estimated seepage analysis model by data assimilation could reproduce the measurement data of not only numerical experiments but also field slope. Therefore, the availability of the proposed method simulating from the unsaturated condition to the saturated condition was verified.
