The purpose of this study is to develop a kriging interpolation method to estimate soil/rock types in the deep zones from the water well data for compensation of limited core-sampling data. The system provides the probability value of each soil/rock type by using the indicator kriging. The soil/rock types of the maximum probability are specified in a regular grid. The probabilistic-based system determines the data search radius and the anisotropic ratio of variogram range at each point according to the categories of topography, geology and data amounts with search radiuses. Re-estimation Score (ReS) in the leave-one-out cross validation is compared to determine the local parameter settings. A case study of the proposed method in the Toyohira River alluvial fan, Sapporo, Japan, shows that the kriging estimation covers almost the entire region. In addition, the averaged ReS is close to the highest value as the smallest search radius is applied.

Based on the enactment of Basic Act on the Water Cycle, promoting social use of the hydrologic cycle analysis at the practical level is highly expected. Under this circumstance, National Institute for Land and Infrastructure Management, Ministry of Land, Infrastructure, Transport and Tourism published “Technical note on basin-wide water cycle analysis” as instructions and related materials of hydrologic cycle analysis procedure for local governments. As a complement to this publication, this report will describe the method of hydrologic cycle analysis modeling and verification approach of its reproducibility, based on the case study carried out at the Ono Basin in Fukui prefecture. Especially, this report will focus on reproducibility of the groundwater levels between monitored level and calculation result by using the analysis. In conclusion, this study will put the hydrologic cycle analysis to practice for conservation and sustainable use of groundwater.