研究期間：10208~10307;The spatial distribution of hydraulic and the associated mechanical properties in colluvial aquifers can provide key information for landslide assessments and public constructions. Due to the high cost and technical difficulties to measure aquifer properties for colluvial aquifers, the traditional hydraulic and soil tests may not be applicable for regional scale slope failure problems. However, in most mountainous areas the natural hydraulic stresses such as the strong rainfall and the high variation of groundwater tables in colluvial aquifers are typically available. With suitable integrations of hydraulic responses from different stresses and scales, the high-resolution hydraulic and mechanical properties in a colluvial aquifer system can be obtained. Motivated by the need to characterize regional scale colluvial aquifer systems, the objectives of the three-year project are (1) to develop, test, and verify a numerical inverse model to estimate hydrogeological and mechanical properties for colluvial aquifer systems, and (2) to conduct laboratory and field scale experiments for verification and application of the developed inverse model. Based on the concept of hydraulic tomography surveys, the cross-scale hydraulic fluctuations caused by either natural or artificial stresses will be automatically integrated with a co-kriging optimization technique. This study starts with the model tests for synthetic colluvial aquifers. Then the 2-D laboratory sandbox experiments will be conducted to verify the developed model for laboratory scale problems. With the cooperation of all involved sub-projects, the developed mode is expected to provide high resolution of hydrological and mechanical properties for assessing field scale slope failure problems on 28K to 31K of Taiwan 18 line in Alishan area. Future applications of the developed model and the associated measurement techniques can be the characterizations of regional scale slope failure problems and developments of landslide or debris flow warning systems.