지구통계 역산해석 기법을 이용한 충적층 수리전도도 분포 추정 및 지 하수 유동 경로 규명: 유계저수지 사례 연구

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 m^3/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.