• The Journal of Engineering Geology
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• v.6 no.3
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• pp.119-130
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• 1996

The theory and numerical technique using boundary elements method (BEM) are given to solve 2-dimensional resistivity problems. Potential distributions from homogeneous resistivity model and layered model are calculated by using BEM for a point source of current injection. The potential distributions of BEM are compared with those of finite difference method (FDM) and finite elements method (FEM). Among the three numerical methods to solve 2-dimensional resistivity problem, it is proved that BEM is more efficient tool than FDM and FEM in consideration of computing storage and time as weU as the accuracy of solutions.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.161-165
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• 2000

지질학적으로 선구조는 지체구조해석을 비롯한 광물자원 및 지하수탐사, 자연재해분석, 지질구조해석등 다양한 분야에서 활용되고 있다. 이러한 선구조를 추출하는 방법은 많은 연구자들에 의해 연구되어 왔다. 최근 컴퓨터의 발달로 선구조를 객관적이고 손쉽게 추출하고자 하는 연구가 진행되었고, 이번 연구는 이처럼 컴퓨터를 이용한 선구조의 자동화된 추출을 목적으로 하였으며, 지형을 잘 나타내주는 수치표고모델을 이용하여 지형적인 특징을 규명될 수 있는 선구조를 추출하였다. 먼저, 수치표고모델에 5도간격으로 만들어진 일정크기의 필터를 적용하여 계곡에서 높은 값을 갖은 영상과 능선에서 높은 값을 갖는 영상을 각각 만들었다. 이 영상에서 threshold를 통해 얻어진 이진영상을 세선화하여 계곡과 산맥을 구해 내었고, 각각의 산맥과 계곡을 이루는 요소들을 직선이라 가정하였을 때의 오차를 구하였다. 이 값이 일정 범위안에 들어가고 일정 길이 이상인 경우에만 선구조로써 선택을 하였다.

• The Journal of Engineering Geology
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• v.14 no.2
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• pp.211-222
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• 2004

In this study, a probabilistic prediction model for debris flow occurrence was developed using a logistic regression analysis. The model can be applicable to metamorphic rocks and granite area. order to develop the prediction model, detailed field survey and laboratory soil tests were conducted both in the northern and the southern Gyeonggi province and in Sangju, Gyeongbuk province, Korea. The seven landslide triggering factors were selected by a logistic regression analysis as well as several basic statistical analyses. The seven factors consist of two topographic factors and five geological and geotechnical factors. The model assigns a weight value to each selected factor. The verification results reveal that the model has 90.74% of prediction accuracy. Therefore, it is possible to predict landslide occurrence in a probabilistic and quantitative manner.

• Economic and Environmental Geology
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• v.22 no.4
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• pp.381-393
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• 1989

Hydrogeological modelling was performed to evaluate groundwater flow system in Igsan Area. The study area extends over $790km^2$. The geology consists of Jurassic Daebo granite and gneissose granite and Precambrian metamorphic rocks. The capability of pumping yield is the highest in gneissose granite region among them due to comparatively thick weathered zone with thickness ranging from 10m to 25m. The Colorado State University Finite Difference Model was used for the model simulation. The model was divided into 28 rows and 31 columns with variable grid spacing. The model was calibrated under steady-state and unsteady-state conditions. In the steady-state simulation, the model results were compared with measured water table contours in September 1985 with determining hydraulic conductivities and net recharge rates during rainy season. Unsteady state simulation was done to know the aquifer response due to groundwater abstraction. The non- steady state calibration was conducted to determine the distribution and magnitudes of specific yields and discharge/recharge rates during dry season as matching water level altitudes in May 1986. The calibrated model was used to simulate water level vaiation caused by groundwater withdrawal and natural recharge from 1 October, 1985 until 30 September, 1995. The calibrated model can be used to groundwater development schemes on regional groundwater levels, but it cannot be used to simulate local groundwater level change at a specific site.

• The Journal of Engineering Geology
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• v.14 no.4 s.41
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• pp.443-450
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• 2004

This study developed a prediction model of debris flow to predict a landslide probability on natural terrain composed of the Tertiary sedimentary and volcanic rocks using a logistic regression analysis. The landslides data were collected around Pohang, Gyeongbuk province where more than 100 landslides were occurred in 1998. Considered with basic characteristics of the logistic regression analysis, field survey and laboratory soil tests were performed for both slided points and not-slided points. The final iufluential factors on landslides were selected as six factors by the logistic regression analysis. The six factors are composed of two topographic factors and four geologic factors. The developed landslide prediction model has more than $90\%$ of prediction accuracy. Therefore, it is possible to make probabilistic and quantitative prediction of landslide occurrence using the developed model in this study area as well as the previously developed model for metamorphic and granitic rocks.

• Journal of the Korean Geotechnical Society
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• v.20 no.8
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• pp.67-75
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• 2004

The landslide is one of the most significant natural disasters, which cause a lot of loss of human lives and properties. The landslides in natural slopes generally occur by complicated problems such as soil properties, topography, and geology. Artificial Neural Network (ANN) model is efficient computing technique that is widely used to solve complicated problems in many research fields. In this paper, the ANN model with application of error back propagation method was proposed for estimation of landslide hazard in natural slope. This model can evaluate the possibility of landslide hazard with two different approaches: one considering only soil properties; the other considering soil properties, topography, and geology. In order to evaluate reasonably the landslide hazard, the SlideEval (Ver, 1.0) program was developed using the ANN model. The evaluation of slope stability using the ANN model shows a high accuracy. Especially, the prediction of landslides using the ANN model gives more stable and accurate results in the case of considering such factors as soil, topographic and geological properties together. As a result of comparison with the statistical analysis(Korea Institute of Geosciences and Mineral Resources, 2003), the analysis using the ANN model is approximately equal to the statistical analysis. Therefore, the SlideEval (Ver. 1.0) program using ANN model can predict landslides hazard and estimate the slope stability.

• The Journal of Engineering Geology
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• v.13 no.1
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• pp.67-82
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• 2003

Pumping test data obtained from five natural mineral-water producing companies (Siwon Saemmul, Daejeong Eumryo, Jain Guanguang, Cheongsu Eumryo and Hanju Sikpum) that are located within 1 km radius around Mockcheon area were analyzed. Theis(1935), Papadopulos-Cooper(1967), Hantush(1960, 1962), Hantush-Jacob(1955), Moench(1985), Neuman-Witherspoon(1969), Gringarten-Witherspoon(1969) and Gringarten-Ramey(1974) equations were applied to the pumping test analysis. The result of the pumping test analysis shows that wedge-typed confined aquifer model (Hantush, 1962) and leaky confined aquifer Case-1 model (Moench, 1985) were suitable for the study area. The models match well with geologic structure in the study area which controls aquifer by means of two major thrust faults having Nl8E and NS strikes, respectively.

• The Journal of Engineering Geology
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• v.7 no.2
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• pp.91-99
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• 1997

In general, there are various approaches available in literature to model discontinuous rock masses and engineers are often confused which one to use for designing structures in rock masses. Modelling rock masses can be classified mainly into two approaches. One is discrete modelling of intact rock and discontinuities and the other is the equivalent continuum modelling. In this study five models are selected ;(1) Crack tensor model, (2) Equivalent volume defect model, (3) Damage model, (4) Micro - structure model (Parallel model and Series model), and (5) Homogenization model. Most of these models are mainly concerned with how to define additional strain due to discontinuities over the representative elementary volume (REV) and how to relate the stress field of discontinuities to that acting on the REV. The characteristics of these models are clarified by comparing with results of some laboratory tests.

• Proceedings of the Korean Geotechical Society Conference
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• 1994.09a
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• pp.247-252
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• 1994

우리나라 산사태의 대부분은 사면의 깊이가 얕은 상태에서 발생하며, 지형적 지질적 및 강우조건에 따라 각기 다른 사면 파괴의 형태를 보여주고 있다. 본 논문에서는 IFDM의 기법을 이용하여 강우침투에 의해 발생할 수 있는 불포화지반으로의 침윤전선의 진행, 간극수압의 시간적 발생과정 등을 포함하는 침투해석을 수행하였다. 침투해석으로 얻은 강우침투 결과를 hyperbolic 응력, 변형을 모델에 조합하여 시간별로 응력, 변형해석을 할 수 있는 모델을 제안하였다. 이 모델에 의한 해석예로써 용인군 창리 산사태 지역을 선택하여 기존의 한계평형법과 본 논문에서 제안한 모델의 결과를 비교하였다.

• Economic and Environmental Geology
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• v.45 no.4
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• pp.431-440
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• 2012

This study examines the communication status and strategies of geological resource related companies in Korea through the comparison with American companies. Through this analysis, this study is to draw the domestic companies' characteristics and problems on communication, and even to suggest how to execute the communication about geo-technologies at national level. The results indicate that geo-technologies related compaies in Korea don't use a lot of advertising communication as means of providing informations about corporate itself, corporate activities, and it's product, etc. And the companies using advertising communication tend to execute more organization advertising focusing on corporate image than product advertising. The advertising utilized by geological resource related companies is usually targeted at consumers, they don't use advertising endorser actively. And all the companies analyzed in this study have their own website and run it. This study provides some recommendations on communication strategies and executions for various geo-technologies related organizations. (1)Advertising strategies for establishing a specific image (2)Advertising message for understanding about geo-technologies (3)A variety of advertising creative (4)A consistent advertising concept and message strategies (5)A consideration about website in terms of PR (6)Information on website for various stakeholders (7)Providing various information message on website.