Study on the selection of unsaturated flow model for the different types of soil and soft rock |
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| Authors: | Sajeewani Rajika Amarasinghe Kunio Watanabe and Koji Ishiyama |
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| Institution: | (1) Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama-shi Saitama, 338-8570, Japan;(2) Geosphere Research Institute, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama-shi Saitama, 338-8570, Japan;(3) Nishimatsu Co-operation Research Institute, 1-20-10, Toranomon, Minato-ku, Tokyo 105-8401, Japan |
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| Abstract: | Precise estimation of unsaturated hydraulic properties of porous media is indispensable in various study areas, such as analyzing
the moisture flow, the drying process occurring from the surface, and the pollutant migration beneath the ground surface.
Although many empirical/theoretical models describing the unsaturated hydraulic properties have been proposed by several previous
researchers, the best model for the different types of soil/rock may not be identical. Thus, the model selection process and
the estimation technique of the parameters included in the models should be developed. In the present study, the inverse technique
based on the transient evaporation change was investigated to select the model and estimate the model parameters. The experimental
work was based on a relatively low permeable soft rock and a relatively high permeable sandy soil (Toyoura standard sand).
Experimental equipment was developed to precisely measure the evaporation rate for the high permeable sandy soil. The Genetic
Algorithm (GA) was adopted in the inverse technique as an optimization tool. In order to simplify the problem, only the drying
process from the saturated condition was considered. It was established that the information concerning the transient evaporation
change could be used for the model selection and parameter estimation. Further, the saturation distribution could be used
for the selection of the models. The present study provides important information for the development of the model selection
process. |
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