Abstract
In Japan, where mountains districts occupy about 70% of the land, a lot of shallow landslides caused by heavy rains have occurred each year. It is important to identify field soil hydraulic parameters, in order to simulate rainwater infiltration processes adequately. Recently, due to development of sensing technology, inverse analysis for identifying the soil hydraulic parameters by using field measurements, has received a lot of attention. In this study, analytical accuracies of three algorithms based on particle filter, which was one of the inverse analysis method, was compared, in order to grasp an appropriate algorithm based on particle filter, that could identify soil hydraulic parameters effectively and efficiently. As a result, SIR_omit, reducing the number of simulations with the lapse of time, could identify field soil hydraulic parameters adequately. Thus, SIR_omit was most available as inverse analysis method based on field measurements.
