• 한국지하수토양환경학회지:지하수토양환경
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• 제21권3호
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• pp.21-34
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• 2016

In the present study, we applied various machine learning techniques comparatively for prediction of subsurface structures based on multiple secondary information (i.e., well-logging data). The machine learning techniques employed in this study are Naive Bayes classification (NB), artificial neural network (ANN), support vector machine (SVM) and logistic regression classification (LR). As an alternative model, conventional hidden Markov model (HMM) and modified hidden Markov model (mHMM) are used where additional information of transition probability between primary properties is incorporated in the predictions. In the comparisons, 16 boreholes consisted with four different materials are synthesized, which show directional non-stationarity in upward and downward directions. Futhermore, two types of the secondary information that is statistically related to each material are generated. From the comparative analysis with various case studies, the accuracies of the techniques become degenerated with inclusion of additive errors and small amount of the training data. For HMM predictions, the conventional HMM shows the similar accuracies with the models that does not relies on transition probability. However, the mHMM consistently shows the highest prediction accuracy among the test cases, which can be attributed to the consideration of geological nature in the training of the model.

• 한국방사성폐기물학회:학술대회논문집
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• 한국방사성폐기물학회 2009년도 학술논문요약집
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• pp.186-186
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• 2009

The characterization strategy of fracture networks are classified into a deterministic or statistical characterization according to the type of required information. A deterministic characterization is most efficient for a sparsely fractured system, while the statistics are sufficient for densely fractured rock. In this study, the ensemble mean and variability of the effective connectivity is systematically analyzed with various density values for different network structures of a power law size distribution. The results of high resolution Monte Carlo analyses show that statistical characteristics can be a necessary information to determine the transport properties of a fracture system when fracture density is greater than a percolation threshold. When the percolation probability (II) approaches unity with increasing fracture density, the effective connectivity of the network can be safely estimated using statistics only (sufficient condition). It is inferred from conditional simulations that deterministic information for main pathways can reduce the uncertainty in estimation of system properties when the network becomes denser. Overall results imply that most pathways need to be identified when II < 0.5 statistics are sufficient when II $\rightarrow$ 1 and statistics are necessary and the identification of main pathways can significantly reduce the uncertainty in estimation of transport properties when 0.5$\ll$1. It is suggested that the proper estimation of the percolation probability of a fracture network is a prerequisite for an appropriate conceptualization and further characterization.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.676-683
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• 2003

A laboratory experiment using artificial fracture rocks was used to understand the 3-dimensional dispersion of a tracer and the mixing process in a fractured network. In this experiment, 12cm polystyrene foam cubes with two electrodes for monitoring electric conductivity (EC) were used as artificial fractured rocks. Distilled water with 0.5mS/m was used as a tracer in water with 35mS/m and the difference of EC between the tracer and the water was monitored by a multipoint simultaneous measurement system of electrical resistance. The results showed that even if the fracture arrangement pattern was not straight in the direction of the flow, the tracer did not diffuse along individual fractures and an oval tracer plume, which was the distribution of tracer concentrations, tended to be form in the direction of the flow. The vertical cross section of the tracer distribution showed small diffusivity in the vertical direction. The calculated total tracer volume passing through each measurement point in the horizontal cross section showed while that the solute passed through measurement points near the direction of hydraulic gradient and in other directions, the passed tracer volumes were small. Using Peclet number as a criterion, it was found that the mass distribution at the fracture intersection was controlled in the stage of transition between the complete mixing model and the streamline routing model.

• Geosciences Journal
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• 제22권6호
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• pp.1041-1052
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• 2018

A single-well push-drift-pull tracer test using two different tracers ($SF_6$ and salt) was performed at the Environmental Impact Test (EIT) site to determine suitable locations for monitoring wells and arrange them prior to artificial $CO_2$ injection and leak tests. Local-scale estimates of hydraulic properties (linear groundwater velocity and effective porosity) were obtained at the study site by the tracer test with two tracers. The mass recovery percentage of the volatile tracer ($SF_6$) was lower than that of the non-volatile tracer (salt) and increased drift time may make degassing of $SF_6$ intensified. The $CO_2$ leakage monitoring results for both unsaturated and saturated zones suggest that the $CO_2$ monitoring points should be located near points at which a high concentration gradient is expected. Based on the estimated hydraulic properties and tracer mass recovery rates, an optimal $CO_2$ monitoring network including boreholes for monitoring the unsaturated zone was constructed at the study site.

• 지질공학
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• 제24권4호
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• pp.631-641
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• 2014

지하 대수층에 가해진 수문학적 충격에서 나타난 지하수위 변화를 관측하고 분석하여 굴포천 임시방수로구간의 지하수 수위 변동 특성을 규명하였다. 지하수위란 그 지점을 지나가는 등포텐셜 값으로 지하수 압력이 그 위치에서 대기압과 균형을 이루고 있는 것으로, 이는 고정된 것이 아니라 수문학적 충격에 대응해서 변화하게 되는데 관측지점으로부터 지하수면까지의 깊이를 반복적으로 측정함으로서 파악할 수 있다. 김포-김포 국가지하수관측소의 1일 지하수 유출수문곡선의 지하수위 변화식과 변동폭을 평가요소로 하여 18개소의 관측시스템의 지하수 변동 특성을 영향형, 관측요망형, 비영향형 등으로 분류하였다. 그 결과 영향형은 전체의 50%로 수문학적 충격에 의해 수위변화가 민감하게 반영되며 임시방수로로부터 거리가우선적인 요인으로 판단된다. 관측요망형은 27.8%로 2개의 평가요소 중 1개가 기준에 미달한 경우이다. 비영향형은 22.2%로 지하수위 변화가 강우사상에 대해서만 반응함으로써 두 가지의 평가요소를 초과한 것들이다.

• 한국지하수토양환경학회지:지하수토양환경
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• 제23권1호
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• pp.1-13
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• 2018

A series of experiments using transparent micromodels with an artificial pore network etched on glass plates was performed to investigate the effects of flow rate on the migration and distribution of resident wetting porewater (deionized water) and injecting non-wetting fluid (n-hexane). Multicolored images transformed from real RGB images were used to distinguish n-hexane from porewater and pore structure. Hexane flooding followed by immiscible displacement with porewater, migration through capillary fingering, preferential flow and bypassing were observed during injection experiments. The areal displacement efficiency increases as the injection of n-hexane continues until the equilibrium reaches. Experimental results showed that the areal displacement efficiency at equilibrium increases as the flow rate increases. Close observation reveals that preferential flowpaths through larger pore bodies and throats and clusters of entrapped porewater were frequently created at lower flow rate. At higher flow rate, randomly oriented forward and lateral flowpaths of n-hexane displaces more porewater at an efficiency close to stable displacement. It may resulted from that the pore pressure of n-hexane, at higher flow rate, increases fast enough to overcome capillary pressure acting on smaller pore throats as well larger ones. Experimental results in this study may provide fundamental information on migration and distribution of immiscible fluids in subsurface porous media.

• 지질공학
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• 제21권1호
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• pp.79-85
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• 2011

이 연구는 영월과 정선 내 탄산염암지역 지하수의 수리전도도를 이용하여 탄산염암지역 지하수의 유동특성을 알아보기 위해 수행하였다. 이 연구를 위해 영월과 정선 내 탄산염암지역에서 개발된 46개 관정의 수리전도도 자료를 수집하였다. 이들 관정들은 주로 연구지역을 북동-남서 방향으로 가로지르는 골지천, 조양강 및 동강 주변으로 개발되었으며 이들의 수리전도도는 0.004-1.1 m/day의 범위를 보였다. 수리전도도는 관정의 심도가 깊어질수록 점차 줄어드는 경향(y=-0.003x-0.927, $r^2$=0.129)을 보였다. 연구지역은 수리전도도에 따라 A(< 0.1 m/day), B(0.1-1 m/day) 및 C(> 1 m/day) 구역으로 구분하였다. A, B 및 C 구역은 각각 연구지역의 87%(n = 40), 11 %(n = 5) 및 2%(n = 1)에 해당되었다. A 구역은 단열의 영향을 거의 받지 않았고 B 구역은 단열의 영향을 조금 받았으며 C 구역은 단열의 영향을 많이 받았다. 이 연구 결과는 탄산염지역 지하수의 유동이 주로 단열에 의해서 영향을 받고 있음을 보여주었다.

• 한국전자통신학회논문지
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• 제14권6호
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• pp.1235-1240
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• 2019

지진이 발생하기 전·후에 지하수 수위는 급격하게 변화되는 것으로 알려져 있으며 지진 예측을 위해 지하수 수위 변화를 이용한다. 본 연구는 지진을 예측에 사용하기 위해 ANFIS 알고리즘을 이용한 밀양시의 지하수수위를 예측한다. 이를 위해 본 논문에서는 경남 밀양시의 기상청의 강수량, 기온 데이터와 한국농어촌공사 농촌지하수관측망의 지하수수위 데이터가 사용되었다. 예측 측정을 위해 RMSE, MAPE 오차 계산 방법을 사용하였다. 예측 결과 수위가 자연적인 요인에 의해 주기적인 패턴은 예측이 되었으나 인위적인 요인 등 다른 변수에 의해 변동되는 지하수수위 변화값은 감지하지 못하였다. 이를 해결하기 위해서는 지하수수위를 인위적인 변수 등을 수치화하여 데이터화 하는 것과 지하수수위를 측정한 관측공의 정확한 위치에 따른 강수량과 기압 등이 필요하다.

• 한국수자원학회논문집
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• 제55권11호
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• pp.903-911
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• 2022

물을 공급하기 위한 자원 중 하나인 지하수는 다양한 자연적 요인에 의해 수위의 변동이 발생한다. 최근, 인공신경망을 이용하여 지하수위의 변동을 예측하는 연구가 진행되었다. 기존에는 인공신경망 연산자 중 학습에 영향을 미치는 Optimizer로 경사하강법(Gradient Descent, GD) 기반 Optimizer를 사용하였다. GD 기반 Optimizer는 초기 상관관계 의존성과 해의 비교 및 저장 구조 부재의 단점이 존재한다. 본 연구는 GD 기반 Optimizer의 단점을 개선하기 위해 GD와 화음탐색법(Harmony Search, HS)를 결합한 새로운 Optimizer인 Gradient Descent combined with Harmony Search(GDHS)를 개발하였다. GDHS의 성능을 평가하기 위해 다층퍼셉트론(Multi Layer Perceptron, MLP)을 이용하여 이천율현 관측소의 지하수위를 학습 및 예측하였다. GD 및 GDHS를 사용한 MLP의 성능을 비교하기 위해 Mean Squared Error(MSE) 및 Mean Absolute Error(MAE)를 사용하였다. 학습결과를 비교하면, GDHS는 GD보다 MSE의 최대값, 최소값, 평균값 및 표준편차가 작았다. 예측결과를 비교하면, GDHS는 GD보다 모든 평가지표에서 오차가 작은 것으로 평가되었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1-7
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• 2007

New Zealand is a hydrologically diverse and active country. This paper presents an overview of the major hydrological issues and problems facing New Zealand and provides examples of some the research being undertaken to solve the problems. Fundamental to any environmental decision making is the provision of good quality hydrometric data. Reduced funding for the national hydrometric network has meant a reduction in the number of monitoring sites, the decision on how to redesign the network was made using information on geographic coverage and importance of each site. New Zealand faces a major problem in understanding the impacts of rapid land use change on water quantity and quality. On top of the land use change is overlain the issue of agricultural intensification. The transfer of knowledge about impacts of change at the small watershed scale to much larger, more complex watersheds is one that is attracting considerable research attention. There is a large amount of research currently being undertaken to understand the processes of water and nutrient movement through the vadose zone into groundwater and therefore understanding the time taken for leached nutrients to reach receiving water bodies. The largest water management issue of the past 5 years has been based around fair and equitable water allocation when there is increasing demand for irrigation water. Apart from policy research into market trading for water there has been research into water storage and transfer options and improving irrigation efficiency. The final water management issue discussed concerns the impacts of hydrological extremes (floods and droughts). This is of particular concern with predictions of climate change for New Zealand suggesting increased hydrological extremes. Research work has concentrated on producing predictive models. These have been both detailed inundation models using high quality LIDAR data and also flood models for the whole country based on a newly interpolated grid network of rainfall.