Estimation of Hydraulic Conductivity Distribution and Identification of Groundwater Flow Paths in Alluvial Aquifers Using Geostatistical Inverse Analysis: A Case Study of the Yugye Reservoir

초록

This study applied an analysis method to quantitatively estimate the hydraulic conductivity distribution in alluvial aquifers and delineate groundwater flow paths. To overcome the limitations of conventional forward modeling approaches, such as spatial heterogeneity and observational uncertainty, a probabilistic inversion framework combining the Bayesian approach and the Kalman filter was introduced. The results revealed high hydraulic conductivity zones trending northwest-southeast in the Yugye Reservoir area, aligning with pre-identified fault structures from geological surveys. Quantitative analysis of groundwater outflow based on the estimated hydraulic conductivity indicated an outflow rate of approximately 3,176 m³/day, which corresponded well with previously reported values. These findings demonstrate that inverse analysis provides an objective reliable tool for hydrogeological assessment, offering valuable insights for groundwater management and reservoir operation strategies. The proposed methodology can be extended to geological settings and, when combined with three-dimensional modeling and real-time monitoring systems, holds significant potential for advancing groundwater system analysis and prediction.

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