자연 수리자극을 이용한 소유역 규모 대수층 수리전도도 특성화: 지구통계 진화전략 역산해석 기법의 적용 가능성 시험 (Feasibility Test for Hydraulic Conductivity Characterization of Small Basin-Scale Aquifers Based on Geostatistical Evolution Strategy Using Naturally Imposed Hydraulic Stress)

서지정보

· 발행기관 : 한국지하수토양환경학회
· 수록지 정보 : 지하수토양환경 / 25권 / 4호 / 87 ~ 97페이지
· 저자명 : 박은규

초록

In this study, the applicability of the geostatistical evolution strategy as an inverse analysis method of estimating hydraulicproperties of small-scale basin was tested. The geostatistical evolution strategy is a type of data assimilation method thatcan effectively estimate aquifer hydraulic conductivity by combining a global optimization model of the evolution strategyand a local optimization model of the ensemble Kalman filtering. In the applicability test, the geometry, hydraulicboundary conditions, and the distribution of groundwater monitoring wells of Hanlim-Eup were employed. On the otherhand, a synthetic hydraulic conductivity distribution was generated and used as the reference property for ease ofestimation quality assessment. In the estimations, two different cases were tested where, in Case I, both groundwater levelsand hydraulic conductivity measurements were assumed to be available, and only the groundwater levels were available,in Case II. In both cases, the reference and estimated hydraulic conductivity fields were found to show reasonablesimilarity, even though the prior information for estimation was not accurate. The ability to estimate hydraulic conductivitywithout accurate prior information suggests that this method can be used effectively to estimate mathematical properties inreal-world cases, many of which little prior information is available for the aquifer conditions.

영어초록

In this study, the applicability of the geostatistical evolution strategy as an inverse analysis method of estimating hydraulicproperties of small-scale basin was tested. The geostatistical evolution strategy is a type of data assimilation method thatcan effectively estimate aquifer hydraulic conductivity by combining a global optimization model of the evolution strategyand a local optimization model of the ensemble Kalman filtering. In the applicability test, the geometry, hydraulicboundary conditions, and the distribution of groundwater monitoring wells of Hanlim-Eup were employed. On the otherhand, a synthetic hydraulic conductivity distribution was generated and used as the reference property for ease ofestimation quality assessment. In the estimations, two different cases were tested where, in Case I, both groundwater levelsand hydraulic conductivity measurements were assumed to be available, and only the groundwater levels were available,in Case II. In both cases, the reference and estimated hydraulic conductivity fields were found to show reasonablesimilarity, even though the prior information for estimation was not accurate. The ability to estimate hydraulic conductivitywithout accurate prior information suggests that this method can be used effectively to estimate mathematical properties inreal-world cases, many of which little prior information is available for the aquifer conditions.

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