2017 Volume 73 Issue 2 Pages I_45-I_54
It is important to identify soil hydraulic parameters, in order to simulate rainwater infiltration process adequately. Recently, due to the development of sensing technology, field monitoring systems have been spread. In the systems, the volumetric water contents are measured, and large number of data are accumulated. The authors tried to identify soil hydraulic parameters based on the field measurement data, by using the Particle Filter method, which was one of the sequential data assimilation methods. In this study, the authors focused on the Merging Particle Filter, which was one of the Particle Filter algorisms, and the availavility of three algorisms of Particle Filter method was compared. As a result, it was found that the Merging Particle Filter was most available algorisms to identify soil hydraulic parameters based on field measurements.
