2022 Volume 3 Issue J2 Pages 158-167
Based on 675 natural water content data obtained from a peaty ground in the Ishikari River basin, Hokkaido, the probabilistic distribution of the natural water content has been modeled as functions of the depth using generalized linear model. Combination of three kinds of probability density functions for the water content distribution and six polynomial expressions for the mean from zero to five orders in terms of the depth have been examined for searching the best model. By comparing the 18 models from statistical and engineering viewpoints, the best models for organic and inorganic soils have been proposed, respectively. The validity of the models has also been confirmed. To estimate the in-situ natural water content distribution, the confidence intervals for the mean, 5 percentile, and 95 percentile points of the water content distribution of the proposed models have been calculated by employing bootstrapping method.
