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Introduction of Inverse Analysis Model Using Geostatistical Evolution Strategy and Estimation of Hydraulic Conductivity Distribution in Synthetic Aquifer
지구통계학적 진화전략 역산해석 기법의 소개및 가상 대수층수리전도도분포 예측에의 적용
Econ. Environ. Geol. 2020 Dec;53(6):703-13
Published online December 31, 2020;  https://doi.org/10.9719/EEG.2020.53.6.703
Copyright © 2020 the Korean society of economic and environmental gelology.

Eungyu Park*
박은규*

Department of Geology, Kyungpook National University
경북대학교 지구시스템과학부 수리지질학 연구실
Received October 16, 2020; Revised November 17, 2020; Accepted November 17, 2020.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
 Abstract
In many geological fields, including hydrogeology, it is of great importance to determine the heterogeneity of the subsurface media. This study briefly introduces the concept and theory of the method that can estimate the hydraulic properties of the media constituting the aquifer, which was recently introduced by Park (2020). After the introduction, the method was applied to the synthetic aquifer to demonstrate the practicality, from which various implications were drawn. The introduced technique uses a global optimization technique called the covariance matrix adaptation evolution strategy (CMA-ES). Conceptually, it is a methodology to characterize the aquifer heterogeneity by assimilating the groundwater level time-series data due to the imposed hydraulic stress. As a result of applying the developed technique to estimate the hydraulic conductivity of a hypothetical aquifer, it was confirmed that a total of 40000 unknown values were estimated in an affordable computational time. In addition, the results of the estimates showed a close numerical and structural similarity to the reference hydraulic conductivity field, confirming that the quality of the estimation by the proposed method is high. In this study, the developed method was applied to a limited case, but it is expected that it can be applied to a wider variety of cases through additional development of the method. The development technique has the potential to be applied not only to the field of hydrogeology, but also to various fields of geology and geophysics. Further development of the method is currently underway.
Keywords : aquifer characterization, inverse analysis, covariance matrix adaptation, evolution strategy, model calibration

 

April 2021, 54 (2)