• 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.

• 한국지하수토양환경학회지:지하수토양환경
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• 제20권3호
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• pp.51-64
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• 2015

In the present study, we develop two history matching techniques based on Markov chain Monte Carlo method where radial basis function and Gaussian distribution generated by unconditional geostatistical simulation are employed as the random walk transition kernels. The Bayesian inverse methods for aquifer characterization as the developed models can be effectively applied to the condition even when the targeted information such as hydraulic conductivity is absent and there are transient hydraulic head records due to imposed stress at observation wells. The model which uses unconditional simulation as random walk transition kernel has advantage in that spatial statistics can be directly associated with the predictions. The model using radial basis function network shares the same advantages as the model with unconditional simulation, yet the radial basis function network based the model does not require external geostatistical techniques. Also, by employing radial basis function as transition kernel, multi-scale nested structures can be rigorously addressed. In the validations of the developed models, the overall predictabilities of both models are sound by showing high correlation coefficient between the reference and the predicted. In terms of the model performance, the model with radial basis function network has higher error reduction rate and computational efficiency than with unconditional geostatistical simulation.

• 한국지하수토양환경학회지:지하수토양환경
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• 제24권3호
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• pp.13-23
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• 2019

The purpose of this study is to suggest conceptual models based on finite numerical method that can be used to assess contaminant transport through subsurface and estimate exposed concentration at contaminated site. This study tested various assumptions of the numerical models for contaminant transport in unsaturated and saturated zones to simulate the pathways to the human exposal point. For this purpose, models for seven possible scenarios of contaminant transport were simulated using the numerical code MODFLOW and MT3D. The simulation results that showed different peak concentrations and travel times were compared. In conclusion, the potential utility of the numerical models in the site specific risk analysis suggested as well as future research ramifications.

• 한국지하수토양환경학회지:지하수토양환경
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• 제24권2호
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• pp.8-22
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• 2019

Among numerous chemicals used globally, the number of emerging contaminants is increasing. Numerical modeling for contaminant fate and transport in the subsurface is critical to evaluate environmental and health risk. In general, such models require physicochemical properties of contaminants as input values, which can be found in numerous chemical databases (DB). However, there exist lack of information specific to recently emerging contaminants, which requires estimation of physicochemical properties using regression programs. The purpose of the study is to introduce the workflow for identifying physicochemical properties of potential contaminants utilizing numerous chemical DBs, which frequently lists up potential contaminants for estimating chemical behavior. In this review paper, details of several chemical DBs such as KISChem, TOXNET, etc. and regression programs including EPI $Suite^{TM}$, ChemAxon, etc. were summarized and also benefit of using such DBs were explained. Finally, a few examples were introduced to estimate predominant phase, removal ratio, partitioning, and eco-toxicities by searching or regressing physicochemical properties.

• 한국지반환경공학회 논문집
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• 제23권7호
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• pp.11-20
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• 2022

행성 지표에서 시추와 시료 샘플 채취는 행성의 지반 정보를 밝히는데 매우 중요한 역할을 담당한다. 행성 시추장비는 탐사용 착륙선이나 로버에 탑재되어 사용된다. 우주 탐사에서 광범위한 응용 가능성 때문에 전 세계의 과학자들은 다양한 기능의 시추장비의 설계 및 개발에 관심을 보이고 있다. 그러나 우주라는 극한 상황에서 완전한 기능을 갖춘 시추장비를 제작하는 것은 어려운 일이다. 본 논문에서는 지금까지 우주 행성의 극한환경에서 시추를 포함한 시료 채취에 관한 설계 및 제작, 샘플링 방법, 지상검증 등 포괄적인 지반조사 기술 개발 과정과 고려사항에 대해 소개하고자 한다.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2002년도 총회 및 춘계학술발표회
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• pp.148-154
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• 2002

Groundwater Dam is one of the reliable techniques to get huge amount of groundwater abstraction for municipal, agricultural, drinking, industrial water supply system. It can be a major technique to solve water shortage problems when it based on the sufficient watershed, proper topology, and adequate aquifer distribution and pollution control. It is suggested that the two consecutive underground wall in the coastal area to prevent seawater intrusion beneath a single wall.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2001년도 추계학술발표회
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• pp.47-50
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• 2001

The laboratory tests were peformed to investigate the relationship between electrical resistivity and the unsaturated subsurface condition and to evaluate the contamination due to leachate based on measuring electrical resistivity. For weathered granite soil, the electrical resistivity of soil decreases as moisture density increases. The electrical resistivity of soil decreases as the concentration of leachate in pore fluid increases since leachate contains various ionic constituents. And the modified Archie's equation for applying to unsaturated sand is derived by regression analysis.

• 천문학회보
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• 제37권2호
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• pp.105.2-105.2
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• 2012

The upper ionosphere of Mars has been explored by many spacecraft like Mariners, Mars, Viking, and recently by MGS and MEX. MARSIS (Mars Advanced Radar for Subsurface and Ionospheric Sounding) aboard Mars Express Orbiter is operating from August 2005. MARSIS provides topside ionospheric traces, of which yield electron density profiles for altitudes above the primary ionospheric peak. A large amounts of data is useful for investigation of the Martian ionospheric environments under the changing conditions like solar activity, seasons, and solar zenith angle. We studied the characteristics of the Martian ionosphere through analysis of MARSIS data in the various conditions. We expect that our results contribute for understanding of the Martian ionospheric environment.

• 한국지하수토양환경학회지:지하수토양환경
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• 제27권spc호
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• pp.34-50
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• 2022

Principal component analysis (PCA) was conducted using hydrochemical data in four testbeds (A to D) built for the development of site characterization technologies to assess the hydrochemical processes controlling the hydrochemistry in each site. The PCA results indicated the nitrogen loading to deep bedrock aquifers through permeable fractures in Testbed A, the chemical weathering enhanced with the biodegradation of petroleum hydrocarbons in Testbed B, the reductive dechlorination in Testbed C, and the different hydrochemistry depending on the depth to bedrock in Testbed D, consistent with the characteristics of each site. In Testbeds B and D, outliers seemed to affect the PCA result probably due to the small number of samples, whereas the PCA result was still consistent with site characteristics. This study result indicates that the PCA is widely applicable to hydrochemical data for the assessment of major hydrochemical processes in contamination sites, which is useful for site characterization when combined with other site characterization technologies, e.g., geological survey, geophysical investigation, borehole logging. It is suggested that PCA is applied in contaminated sites to interpret hydrochemical data not only for the distribution of contamination levels but also for the assessment of major hydrochemical processes and contamination sources.

• 생물환경조절학회지
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• 제18권3호
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• pp.225-231
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• 2009

지표관수와 비교하여 지중관수 및 지중관수 시 공기주입의 효과를 검토하고자 '녹광' 풋고추를 온실 내에서 토양재배(silty loam)하여 관수효율, 토양특성, 과실 생육 및 수량 등을 조사하였다. 관수방법은 관수호스를 이랑당 2열 배열하되 지표관수는 토양표면, 지중관수는 지표 20cm 아래에 설치하였고, 공기주입은 air compressor를 이용하여 낮 동안에 시간당 3분간 주입하였다. 관수는 콘트롤러, 전자식 토양수분장력센서 등을 이용, 토양수분에 기초한 자동관수를 실시하였는데, 관수개시점은 -20kPa, 관수종료점을 -10kPa로 설정하여 관리하였다. 그 결과, 토양수분의 감소속도가 지표 관수에 비해 지중관수와 지중관수 +공기주입이 늦었으며, 관수량도 지중관수가 지표환수에 비해 지표면에서의 증발 감소 등으로 약 30% 적었다. 표토층의 EC 및 무기이온함량은 지표관수에 비해 지중관수나 지중관수 +공기주입이 낮은 수준이었다. 뿌리의 발달은 지표관수에 비해 지중관수+공기주입한 것이 가장 좋았는데, 특히 뿌리가 길고 세근의 발달이 많았다. 이로 인해 풋고추 수량이 지표관수에 비해 지중관수가 22%, 지중관수 +공기주입이 30% 각각 증가되었다.