• 대한원격탐사학회지
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• 제10권2호
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• pp.37-48
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• 1994

In spatial information processing, particularly in non-renewable resource exploration, the spatial data sets, including remote sensing, geophysical and geochemical data, have to be geocoded onto a reference map and integrated for the final analysis and interpretation. Application of a computer based GIS(Geographical Information System of Geological Information System) at some point of the spatial data integration/fusion processing is now a logical and essential step. It should, however, be pointed out that the basic concepts of the GIS based spatial data fusion were developed with insufficient mathematical understanding of spatial characteristics or quantitative modeling framwork of the data. Furthermore many remote sensing and geological data sets, available for many exploration projects, are spatially incomplete in coverage and interduce spatially uneven information distribution. In addition, spectral information of many spatial data sets is often imprecise due to digital rescaling. Direct applications of GIS systems to spatial data fusion can therefore result in seriously erroneous final results. To resolve this problem, some of the important mathematical information representation techniques are briefly reviewed and discussed in this paper with condideration of spatial and spectral characteristics of the common remote sensing and exploration data. They include the basic probabilistic approach, the evidential belief function approach (Dempster-Shafer method) and the fuzzy logic approach. Even though the basic concepts of these three approaches are different, proper application of the techniques and careful interpretation of the final results are expected to yield acceptable conclusions in cach case. Actual tests with real data (Moon, 1990a; An etal., 1991, 1992, 1993) have shown that implementation and application of the methods discussed in this paper consistently provide more accurate final results than most direct applications of GIS techniques.

• 지질공학
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• 제31권4호
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• pp.463-478
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• 2021

The subjects of the study are the sedimentary rock slope of the Mesozoic Gyeongsang Supergroup, which has a high risk of failure. The orientation of the slope-face represents a variety of changing characteristics. The rocks of the slope shall be sandstone, siltstone and dacite, and discontinuities shall develop beddings, shear joints, extension joints, and dacite dyke boundary planes. The type and scale of failure varies depending on the type of rock and the strike/dip of the discontinuities, but the toppling failure prevails. Based on the face-mapping data, SMR, physical and mechanical testing of rocks, analysis and review of the stereonet projections and the critical equilibrium analysis, all four representative sections required a countermeasure method because the acceptable safety factor during dry and rainy seasons were far below Fs = 1.5 and Fs = 1.2. After applying the countermeasure method, both the dry and wet conditions of the slope exceeded the allowable safety factor. In particular, the face-mapping data of the slope-face, the geological cross-sections of several representative sections perpendicular to the slope-face, and the critical equilibrium analysis and the presentation of countermeasure methods that have been reviewed based on them are expected to be reasonable tools for the slope stability. In addition, it will be possible to use it as basic data for performance evaluation for slope maintenance.

• 자원환경지질
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• 제42권3호
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• pp.273-282
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• 2009

지리정보분야에서는 수치화된 도면자료에서 고 부가가치 정보로 활용되기 위해 공간데이터베이스 구축이 지속적으로 진행되고 있다. 파일기반의 주제도에서 데이터베이스로의 변환은 다양한 데이터베이스 기능을 활용하기 때문에 대용량의 데이터를 통합하고 다양한 정보검색을 용이하게 한다. 지질도는 지질현상에 대한 조사자의 해석을 도식적으로 표현한 결과이기 때문에, 정량적으로 제작되는 다른 주제도와 차별화 된다. 이러한 특징은 지질학적인 다양한 의미에 대해 해석을 필요로 하는 지질도의 데이터베이스 구축을 쉽지 않게 한다. 이러한 이유로 일부 미국 호주 등에서는 통합적 데이터베이스 구축을 위해 데이터 모델을 제시하고 있으나, 지질현상의 표현이 다르기 때문에 국내환경에 적용 하기가 어렵다. 이 논문에서는 한국 실정에 적합한 지질도 데이터 모델링을 위해 1:50,000 축척의 지질도와 보다 대축척인 1:5,000 광산지질도 요소를 분석하여 데이터 모델을 제시한다. 제시한 데이터 모델은 ArcGIS Geodatabase에 대한 논리모델로, 설계한 모델을 이용하여 1:50,000 축척 지질도에 효과적으로 적용할 수 있다. 이 연구에서 구현된 데이터 모델은 국내 지질도의 통합적 활용 및 효율적 관리에 이용될 수 있을 것으로 기대된다.

• 한국철도학회논문집
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• 제5권2호
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• pp.84-92
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• 2002

For an efficient management and analysis of geological/geotechnical data obtained during site investigations or tunnel construction, Tunnel Information System(TIS) was developed in this study. TIS is running in CIS(Geographical Information System) which has a spatial data. TIS consists of two parts, the Tunnel Face Mapping System(FaceMap), to record a geological features by observations and measurements at the surface of the excavation, the Borehole Data Management System(BDMS), to store the different types of rock data related to boreholes. Using the database of collapsed tunnels, 20 in Korea and 84 in Europe and with an artificial neural network, an expert system was developed for inferring the tunnel collapse pattern and its volume. And by applying Geo-predict, the system developed, in tunnels under construction, observed data from the $\bigcirc$$\bigcirc$tunnl site was compared and analyzed.

• 방사성폐기물학회지
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• 제9권1호
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• pp.13-21
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• 2011

한국원자력연구원의 연구지역에서 고준위방사성폐기물처분을 위한 부지특성평가 기술 구축을 위해 지질특성조사가 1997년부터 지표기반 조사, 시추공 조사를 포함하여 수행되었다. 2006년에는 지하처분연구터널 (KURT, KAERI Underground Research Tunnel)을 준공하여 연구지역에 대한 심부지질환경 규명을 위해 노력하고 있다. 본 연구는 한국원자력연구원내 건설된 지하처분연구시설 주변 지역을 연구대상 지역으로 하여 지질모델에 대한 수리지질모델의 통합 구축을 목적으로 한다. 본 연구를 위해 연구지역에서 굴착된 9개의 시추공에 대한 현장 수리시험 자료를 이용하였으며, 지질모델에서 도출한 풍화대, 상부저경사단열대, 심부 영역에 존재하는 결정론적 단열대에 대한 수라지질특성을 분석하였다. 본 연구 결과 제시된 수리지질모델은 향후 지하수 유동모델링에 이용될 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.158-164
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• 1999

This paper investigated and evaluated the NASA's Shuttle Imaging Radar-C (SIR-C) multiple frequency SAR data for differential backscattering effects of microwave from the surface geological materials overlying the skarn type mineralization. Although an integrated approach in mineral exploration is more cost effective and is well in use, there are still many technical and scientific issues to be further investigated and researched. In this study we have reprocessed several sets of previously surveyed exploration data and experimented with fuzzy logic digital fusion of the preprocessed data with respect to chosen exploration targets. Among the numerous fuzzy logic operators, which are currently available for a data driven integrated exploration strategy, we used varying combinations of fuzzy MIN, fuzzy MAX, and fuzzy SUM operators along with Gamma operator for fusion of exploration data, including the contact metamorphic zone information. The final exploration target tested was a skarn type W-Mo-F mineralization in the study area. The fuzzy logic derived mineral potential anomaly almost exactly matched the differential backscattering anomalies on the C-band and L-band SIR_C data when overlaid on each other. Although this high degree of correlation between these two data sets is remarkable, the differential backscattering anomaly over the skarn type W-Mo-F mineralization in the study area requires further investigation.

• 터널과지하공간
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• 제6권4호
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• pp.287-297
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• 1996

Input data play an important role in numerical analyses. However, it is difficult to obtain appropriate data for many reasons. In order to overcome those difficulties, an automatic MPBX(Multi-Position Borehole Extensometer) monitoring system is developed. This system can be applied to the analyses of measured data which include evaluation of the stabiliyt, efficiency of construction and the validity of numerical analyses. At first, the MPBX among field measurement tools is considered in this study. Also, 3-dimension finite element analyses are carried out to verify the influence of geological conditions and excavation sequence on the MPBX displacement. The effect of geological conditons on the displacement can be estimated qualitatively qualitavely from the measured data by plotting displacement vs. depth.

• 지구물리와물리탐사
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• 제23권3호
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• pp.149-156
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• 2020

복잡하고 다양한 광상 생성 과정과 부존 위치의 심부화로 인하여 광물자원 탐사의 효율을 높일 수 있는 예측탐사의 필요성이 점차 높아지고 있다. 최근의 머신러닝 기법의 활용성 증가와 광역 지질 데이터베이스의 구축 상황을 고려하면, 예측탐사의 기반인 광상 배태 가능성 평가 기술의 신뢰도는 점차 높아질 것으로 예상된다. 이번 연구에서는 심층신경망을 이용하여 화성암과 단층 및 자력탐사 정보의 광화 인자로의 활용 가능성을 확인하였다. 지질 정보의 수치화 기법으로 단층, 화성암, 자력 정보를 입력 자료로 구성하여 0.9 이상의 정확도를 가지며 예측 값이 안정적으로 수렴하는 금속 광상 예측 모델을 구축할 수 있었다. 이 기술은 추후 정밀한 지질 조사 결과와 물리탐사 정보가 확보된다면, 광화대 규모에서의 예측 탐사에도 활용할 수 있을 것으로 기대된다. 또한, 이 연구를 통해 지하의 화성암 정보를 제공하는 자력자료를 활용할 경우 지표의 화성암 정보를 보완하여 보다 높은 성능의 모델을 구축할 수 있는 것으로 확인되었다. 즉, 단순히 많은 자료를 융합하는 것 보다는 광체 성인과의 지질학적 상관관계를 고려하여 입력 자료를 구성하는 것이 보다 중요하다.

• 한국지하수토양환경학회지:지하수토양환경
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• 제19권6호
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• pp.6-12
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• 2014

We reviewed literature focusing on the amounts of domestic production, distribution, and consumption of strong acids and their spill cases. In particular, we investigated the chemistry and toxicity of four strong acids classified as "accident preparedness substances," including hydrochloric, nitric, sulfuric, and hydrofluoric acid. We recommend sulfuric and hydrofluoric acid as the chemicals of priority control based on the amounts used and toxicity. An advanced prevention/response system needs to be established along with an improved human and social infrastructure to prevent and efficiently respond to chemical accidents. Understanding the behavior and transport of spilled strong acids in the soil and groundwater environments requires a multi-disciplinary approach since they go through a variety of chemical and biogeochemical reactions with complex geomedia. However, no such research has been done in this area in Korea to the best of our knowledge. We expect the results of this study to contribute as basic data to future research.

• 방재저널
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• 제14권3호
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• pp.108-109
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• 2012