• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.252-254
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• 2007

• The Journal of Engineering Geology
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• v.4 no.3
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• pp.283-295
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• 1994

A new nonstationary dual-porosity fractal model is presented which simulates a nonsteady state block-to-fissure flow with or without fracture skin between the block and the fissure in a fractal aquifer. The model includes weilbore storage and well loss effects on the production well. Type curves for different flow dimensions with different values of hydraulic parameters are created. The application of the model to experimental data in fractured aquifer is described.

• Geophysics and Geophysical Exploration
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• v.26 no.2
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• pp.52-61
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• 2023

The use of ultra-high-resolution (UHR) seismic surveys to preceisly characterize coastal and shallow structures have increased recently. UHR surveys derive a spatial resolution of 3.125 m using a high-frequency source (80 Hz to 1 kHz). A digital streamer system is an essential module for acquiring high-quality UHR seismic data. Localization studies have focused on reducing purchase costs and decreasing maintenance periods. Basic performance verification and application tests of the developed streamer have been successfully carried out; however, a comparative analysis with the existing benchmark model was not conducted. In this study, we characterized data obtained by using a developed streamer and a benchmark model simultaneously. Tamhae 2 and auxiliary equipment of the Korea Institute of Geoscience and Mineral Resources were used to acquire 2D seismic data, which were analyzed from different perspectives. The data obtained using the developed streamer differed in sensitivity from that obtained using benchmark model by frequency band.However, both type of data had a very high level of similarity in the range corresponding to the central frequency band of the seismic source. However, in the low frequency band below 60 Hz, data obtained using the developed streamer showed a lower signal-to-noise ratio than that obtained using the benchmark model.This lower ratio can hinder the quality in data acquisition using low-frequency sound sources such as cluster air guns. Three causes for this difference were, and streamers developed in future will attempt to reflect on these improvements.

• Journal of the Korean Geotechnical Society
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• v.37 no.5
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• pp.47-63
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• 2021

Recently, the demand for three-dimensional (3D) underground maps from the perspective of digital twins and the demand for linkage utilization are increasing. However, the vastness of national geotechnical survey data and the uncertainty in applying geostatistical techniques pose challenges in modeling underground regional geotechnical characteristics. In this study, an optimal learning model based on multi-layer perceptron (MLP) was constructed for 3D subsurface lithological and geotechnical classification in Seoul, South Korea. First, the geotechnical layer and 3D spatial coordinates of each borehole dataset in the Seoul area were constructed as a geotechnical database according to a standardized format, and data pre-processing such as correction and normalization of missing values for machine learning was performed. An optimal fitting model was designed through hyperparameter optimization of the MLP model and model performance evaluation, such as precision and accuracy tests. Then, a 3D grid network locally assigning geotechnical layer classification was constructed by applying an MLP-based bet-fitting model for each unit lattice. The constructed 3D geotechnical layer map was evaluated by comparing the results of a geostatistical interpolation technique and the topsoil properties of the geological map.

• The Journal of Engineering Geology
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• v.33 no.1
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• pp.201-211
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• 2023

This study investigated the damage range of the debris flow to predict the amount of collapsed soil in a landslide event. The height of the collapsed slope and the distance traveled by the collapsed soil were used to predict the total trajectory distance using a random walk model. Debris flow trajectory probabilities were calculated through 10,000 Monte Carlo simulations and were used to calculate the damage range as measured from the landslide scar to its toe. Compiled information on debris flows that occurred in the Cheonwangbong area of Mt. Jirisan was used to test the accuracy of the proposed random walk model in estimating the damage range of debris flow. Results of the comparison reveal that the proposed model shows reasonable accuracy in estimating the damage range of debris flow and that using 10 m × 10 m cells allows the damage range to be reproduced with satisfactory precision.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.299-316
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• 2019

The purpose of this study was to analyze landslide susceptibility in the Pyeongchang area using Weight of Evidence (WOE) and Evidential Belief Function (EBF) as probability models and Artificial Neural Networks (ANN) as a machine learning model in a geographic information system (GIS). This study examined the widespread shallow landslides triggered by heavy rainfall during Typhoon Ewiniar in 2006, which caused serious property damage and significant loss of life. For the landslide susceptibility mapping, 3,955 landslide occurrences were detected using aerial photographs, and environmental spatial data such as terrain, geology, soil, forest, and land use were collected and constructed in a spatial database. Seventeen factors that could affect landsliding were extracted from the spatial database. All landslides were randomly separated into two datasets, a training set (50%) and validation set (50%), to establish and validate the EBF, WOE, and ANN models. According to the validation results of the area under the curve (AUC) method, the accuracy was 74.73%, 75.03%, and 70.87% for WOE, EBF, and ANN, respectively. The EBF model had the highest accuracy. However, all models had predictive accuracy exceeding 70%, the level that is effective for landslide susceptibility mapping. These models can be applied to predict landslide susceptibility in an area where landslides have not occurred previously based on the relationships between landslide and environmental factors. This susceptibility map can help reduce landslide risk, provide guidance for policy and land use development, and save time and expense for landslide hazard prevention. In the future, more generalized models should be developed by applying landslide susceptibility mapping in various areas.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1992.05a
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• pp.35-35
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• 1992

산소라디칼-질병모델을 보다 간편한 방법으로 만들어 생화학적 발병 기전을 추구하므로서 신약창출에 필요한 기초자료를 제시하고자 본 실험을 실시하였다. 미세혈관의 혈류이상은 과잉의 활성산소를 생산하게되며 이로 인해 여러 종류의 난치성 질환 및 염증을 수반하는 많은 질병이 발병하게 된다. 일반적으로 흔히 이용되어지는 허혈-재관류모델이 아닌 환경독성물질을 활용한 병태모델을 만들어 이 모델조건에서 활성산소생성과 밀접한 관계를 갖는 잔틴 옥시데이즈(Xanthine Oxidase)의 변화와 과산화지질생성정도를 연관지어 검토하였다. 수은, 구리, 몰리브덴등의 금속이온들은 잔틴 디하이드로저네이즈(Xanthine dehydrogenase)로 부터 옥시데이즈(Oxidase)형으로의 전환을 촉진시켰으며 막독성의 지표로 이용되어지는 과산화지질의 생성도 현저히 증가시켰다. 또한 알데하이드류의 첨가실험에서도 잔틴산화효소의 형전환이 촉진되었으며 첨가한 알데하이드의 탄소수와 수소수 그리고 탄소와 탄소의 결합상태와도 밀접한 관계가 있음이 관찰되었다.

• The Journal of Engineering Geology
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• v.4 no.2
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• pp.127-138
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• 1994

The stationary dual-porosity model is not sufficient to describe the hydraulic characteristics of fractured aquifers as the groundwater flow in fractured aquifers is often controlled by the fractal geometry of fractures. This study deals with new stationary dual-porosity fractal model. This model simulates pseudo-steady state flow from matrix block to fissure in the fractal aquifer. Furthermore, it considers storage capacity and well loss effect at the production well. Type curves for different flow dimensions with different drainage factors are plotted. This new model has been applied to experimental data. The result of the interpretation shows a good accordance between the theoretical model and the observed data.

• Journal of the Korean earth science society
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• v.42 no.1
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• pp.88-101
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• 2021

The purpose of this study was to qualitatively examine the meaning of students' drawings in outdoor classes and modeling-based learning cycles. Ten students were observed in a gifted education center in Seoul. Under the theme of the Hantan River, three outdoor classes and three modeling activities were conducted. Data were collected to document all student activities during field trips and classroom modeling activities using simultaneous video and audio recording and observation notes made by the researcher and students. Please note it is unclear what this citation refers to. If it is the previous sentence it should be placed within that sentence's punctuation. Hatisaru (2020) Ddrawing typess were classified by modifying the representations in a learning context in geological field trips. We used deductive content analysis to describe the drawing characteristics, including students writing. The results suggest that students have symbolic images that consist of geologic concepts, visual images that describe topographical features, and affective images that express students' emotion domains. The characteristics were classified into explanation, generality, elaboration, evidence, coherence, and state-of-mind. The characteristics and drawing types are consecutive in the modeling-based learning cycle and reflect the students' positive attitude and cognitive scientific domain. Drawing is a useful tool for reflecting students' thoughts and opinions in both outdoor class and classroom modeling activities. This study provides implications for emphasizing the importance of drawing activities.

• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.5
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• pp.710-714
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• 2003

This study was carried out to compare the effects of different plant oil sources on lipid metabolism of insulin dependent diabetic mice. Streptozotocin-induced (65 mg/kg B.W.) diabetic mice were fed four kinds of experimental diets with 20% lipid, which composed of 10% lard, and 10% soy bean oil (SBO), 10% rice germ oil (RGO), 10% rice brab oil (RBO) and 10% sesame oil (SSO) respectively, for 7 weeks. Diet intake, body weight, organs weights and lipids levels of serum, liver and feces were measured. There was no significant difference in diet intake and body weight among experimental groups. But the concentrations of serum triglyceride of RGO and RBO groups, and of serum total cholesterol of RGO and SSO groups were lower than those of the others. The hepatic total cholesterol level was the lowest in RGO group. The contents of total lipid and total cholesterol excreted in feces of RGO and RBO groups were higher than those of SBO and SSO groups. These results suggested that rice germ oil can effectively reduce serum triglyceride level and hepatic total cholesterol concentration of insulin dependent diabetic mice than rice bran oil, soy bean oil and sesame oil, and hypolipidemic effect of rice germ oil be due to increasing fecal lipid excretion. But we need to investigate the more detailed factors on lipid reducing effect in rice germ oil and rice bran oil.