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권광수,이준용,박형동 대한자원환경지질학회 2001 자원환경지질 Vol.34 No.6
최근 들어, 지하철공사나 폐광의 관리와 같은 지하공간의 공사에 의한 지반침하에 대한 관심이 높아지고 있다 GIS (Geographic Information System; 지리정보시스템)를 이용한 지반침하의 분석은 공간자료의 처리 및 데이터베이스의 구축 차원에서 장점을 지니고 있다. GIS를 이용한 분석에 있어, 보다 나은 결과를 위해서는 기존의 침하 이론이나 모델의 보완이 필요하다. 복잡한 지형을 고려하기 위해서는 표면의 지형 기복을 고려한 모델의 민정이 필요하며, 3차원 상의 분석을 위해서는 2개의 직고하는 2차원 침하곡선을 동시에 고려할 필요성이 있다. 이러한 보완을 통해서 GIS를 이용한 지반침하 분석 모델을 구축할 수 있으며, 이의 실제 적용 가능성의 판단을 위해 이상적인 경우의 지하공동과 지반조건에 대해 분석을 수행하였다. 공동의 특성, 토층의 특성, 지하수 조건 및 지형조건의 현실적인 입력변수로의 활용을 통해, 보다 더 신뢰성 있는 결과와 활용분야의 확대를 기대할 수 있다. Recently, interests in subsidence hazard have been increased due to the underground construction such as subway construction and managements of abandoned mines. GIS analysis of subsidence hazard has a lot of advantages in handling of spatial data and managing database. For better result of GIS analysis, there are some necessities of modifying previous subsidence theory and model. To take surface profile into account allows the application of complicated topology. Furthermore. for 3-dimensional analysis. two subsidence profile curves that are perpendicular to each other should be considered simultaneously. Through these modifications, the model for subsidence analysis using GIS can be established. With ideal case of cavities and other conditions, GIS analysis was accomplished and meaningful results were produced. More realistic properties of cavity. soil layers, groundwater condition and topology will enable GIS analysis method to produce more reliable result and to widen the area of applications.
권광수,유명환,박형동 대한자원환경지질학회 2000 자원환경지질 Vol.33 No.6
Subsidence hazard has never been considered seriously until recent yews in Korea, although its socioeconomic impact on Korea becomes more and more enormous. There have been a few studies for the application of GIS analysis technique to the prediction of subsidence hazard. For GIS analysis, several factors, which are represented by coverage, are considered and selected for building a GIS model. Numerical method was used to quantify the importance of each factor in GIS model and the result from numerical modeling using FLAC was compared with that from previous research based on empirical methods. Analysis in 3-D needs more computer resources (i.e. memory). Therefore that in 2.5-D was considered to overcome the problem. Not only maximum vertical subsidence but also maximum horizontal strain and maximum slope have been considered for the assessment of subsidence hazard. The model can be easily modified for the purpose of applications in any subsidence area, especially cavern or abandoned mines under thick soil layer.
폐광지역 지반침하 GIS분석을 위한 데이터베이스 모델 연구
권광수,장윤섭,유식,박형동 대한자원환경지질학회 2002 자원환경지질 Vol.35 No.4
Efficient database and DBMS are essential for GIS analysis of subsidence in the abandoned mine area. A data structure and a suitable analysis method were proposed for an efficient analysis of subsidence in the abandoned mine area. Data models for the location of mine, ground water level, subsidence measurement and subsidence cracks were defined and structured to the database. GIS(Geographic Information System; 지리정보시스템)를 이용한 폐광지역의 지반침하 분석에 있어 효율적인 데이터베이스 구축 및 DBMS(Database Management System; 데이터베이스 관리시스템)의 이용이 요구된다. 이를 위해 폐광지역의 지반침하 분석에 있어 효율적인 분석이 가능하도록 그에 적합한 데이터 구조와 분석방법을 모색하였다. 지반침하 관리시 요구되는 갱도위치, 지하수위, 침하 실측치, 침하 균열 등과 같은 공간 정보에 대한 적합한 모델을 설정하고 데이터베이스를 구축하였다.
윤치호,권광수,양승진,Yun, Chi Ho,Kwon, Kwang Soo,Yang, Seung Jin 대한자원환경지질학회 1995 자원환경지질 Vol.28 No.2
The kriging model, one of the geostatistical models, has been used to evaluate the deep-sea manganese nodule deposits until now. The distribution of the manganese nodule deposits estimated by the model shows the smooth surface as well as much difference from the actual distribution. Subsequently, it estimates the deposit distribution roughly in terms of the limited data of surveyed zone. Therefore, this paper presents the interpretation methodology of the deep-sea manganese nodule deposit distribution by using the fractal model to overcome the problems caused by the geostatistical model. Also, the manganese nodule distributions are interpreted by using the manganese nodule data sampled in the GH82-4 zone, west longitude $165^{\circ}40^{\prime}-169^{\circ}00^{\prime}$, and south latitude $0^{\circ}00^{\prime}-2^{\circ}40^{\prime}$ neighboring Nova-Canton Trough in the Pacific Ocean which was surveyed by the Geological Survey of Japan in 1982.