• 지질공학
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• 제34권1호
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• pp.51-65
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• 2024

산사태는 전 세계적으로 매년 큰 재산 피해를 야기하는 자연 재해로 알려져 있다. 국내에서도 기후 변화의 영향으로 산사태 피해가 증가하는 경향을 보이고 있으며, 이로 인한 피해를 줄이기 위해서는 산사태를 증가시키는 인자들을 파악하는 것이 중요하다. 따라서 본 연구는 충청북도 충주시에서 발생한 산사태 피해에 영향을 미치는 변수들의 중요도를 평가하기 위해 랜덤포레스트 모델을 활용하여 14개의 인자들 사이의 중요도를 분석하였다. 연구 결과, 모델의 성능은 AUC가 0.87로 높은 정확도를 보이며, 변수 중요도는 경사 방향, 경사, 계곡까지의 직선 거리, 고도 순으로 정해졌으며, 이는 경사방향과 경사 등의 지형인자가 암종과 유효토심과 같은 지질과 토양인자보다 산사태 피해에 더 큰 영향을 미친다는 것을 시사한다. 이 연구 결과는 산사태 피해 예측지도의 제작 및 산사태 피해 감소에 초점을 맞춘 연구에 기초 자료로서 활용될 수 있을 것으로 기대된다.

• 보존과학회지
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• 제34권5호
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• pp.333-343
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• 2018

부여 능산리고분군 동하총 벽화의 보존상태를 진단하고자 2년간 온 습도 모니터링을 실시하여 고분 내부 보존환경 평가 및 벽화의 잔존안료 지도화(Mapping)를 실시하였다. 고분 내부의 온 습도 모니터링 결과로 결로 발생의 특성을 평가하고, 2008년 조사결과와 비교하여 벽화의 상태변화를 진단하였다. 고분 현실의 온도는 국내 지하 5 m 깊이의 연간 평균 지중온도 분포인 $13{\sim}18^{\circ}C$와 근사한 온도분포를 유지하고 있다. 현실 공기의 일교차 범위는 $0.1^{\circ}C$미만, 최대 $0.5^{\circ}C$의 범위로 나타나고 여름철(6월~9월)과 겨울철(12월~1월)의 일교차가 가장 크다. 현실보다 온도가 높은 외기가 유입되는 여름철에는 일교차의 변화로 결로가 집중적으로 발생하는 것으로 판단된다. 동하총 벽화의 잔존안료 성분과 안료입자 분포를 지도화한 결과, 벽체 면적의 36.72~39.53% 범위로 존재하였다. 자외선 형광반응 및 적외선 촬영을 통하여 채색안료 범위가 2008년과 동일하게 나타남을 확인하였다. 따라서 동하총은 여름철에 결로가 발생하는 지하환경이지만 선행조사 이후 벽화가 안정한 상태로 유지되고 있음을 알 수 있다. 그러나 발굴 이후 개방된 환경으로 인해 벽화의 열화가 진행되어 잔존하는 채색안료가 미량이기 때문에 지속적인 모니터링이 필요하다.

• Geomechanics and Engineering
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• 제10권4호
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• pp.527-546
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• 2016

This paper discusses improvements of compressibility, permeability, static and liquefaction strengths of in-situ soils by grouting. Both field testing and laboratory evaluation of the on-site samples were conducted. The improvement of soils was influenced by two main factors, i.e., the grout materials and the injection mechanisms introduced by the field grouting. On-site grout mapping revealed the major mechanism was fracturing accompanied with some permeation at deeper zones of sandy soils, where long-gel time suspension grout and solution grout were applied. The study found the compressibility and swelling potential of CL soils at a 0.5 m distance to grout hole could be reduced by 25% and 50%, respectively, due to the grouting. The effect on hydraulic conductivity of the CL soils appeared insignificant. The grouting slightly improved the cohesion of the CL soils by 10~15 kPa, and the friction angle appeared unaffected. The grouting had also improved the cohesion of the on-site SM soils by 10~90 kPa, while influences on the friction angle of soils were uncertain. Liquefaction resistances could be enhanced for the sandy soils within a 2~3 m extent to the grout hole. Average improvements of 40% and 20% on the liquefaction resistance were achievable for the sandy soils for earthquake magnitudes of 6 and ${\geq}7.5$, respectively, by the grouting.

• Environmental Engineering Research
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• 제23권1호
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• pp.84-91
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• 2018

The present study deals with the management of groundwater resources of an important agriculture track of north-western part of Saudi Arabia. Due to strategic importance of the area efforts have been made to estimate aquifer proneness to attenuate contamination. This includes determining hydrodynamic behavior of the groundwater system. The important parameters of any vulnerability model are geological formations in the region, depth to water levels, soil, rainfall, topography, vadose zone, the drainage network and hydraulic conductivity, land use, hydrochemical data, water discharge, etc. All these parameters have greater control and helps determining response of groundwater system to a possible contaminant threat. A widely used DRASTIC model helps integrate these data layers to estimate vulnerability indices using GIS environment. DRASTIC parameters were assigned appropriate ratings depending upon existing data range and a constant weight factor. Further, land-use pattern map of study area was integrated with vulnerability map to produce pollution risk map. A comparison of DRASTIC model was done with GOD and AVI vulnerability models. Model validation was done with $NO_3$, $SO_4$ and Cl concentrations. These maps help to assess the zones of potential risk of contamination to the groundwater resources.

• 한국측량학회지
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• 제35권5호
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• pp.357-364
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• 2017

The purpose of the study is to develop and validate landslide susceptibility map of Bhotang village development committee, Nepal using FR (Frequency Ration) and SI (Statistical Index) methods. For the purpose, firstly, a landslide inventory map was constructed based on mainly high resolution satellite images available in Google Earth Pro, and rest fieldwork as verification. Secondly, ten conditioning factors of landslide occurrence, namely: altitude, slope, aspect, mean topographic wetness index, landcover, normalized difference vegetation index, dominant soil, distance to river, distance to lineaments and rainfall, were derived and used for the development of landslide susceptibility map in GIS (Geographic Information System) environment. The landslide inventory of total 116 landslides was divided randomly such that 70% were used for training and remaining 30% for validating result by receiver operating characteristics curve analysis. The area under the curve were found to be greater than 0.7 indicating an acceptable susceptibility maps obtained using FR and SI methods in GIS for hilly region of Nepal.

• 한국농공학회논문집
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• 제54권2호
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• pp.87-94
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• 2012

This study is to evaluate flood inundation and to recommend measures of damage reduction on sediment by concentrated torrential rainfall at Gonjiamcheon Watershed (183.4 $km^2$). Firstly, the SWAT (Soil and Water Assessment Tool) was simulated streamflow and sediment at upstream. Then, we produced a map of floodplain boundary by using HEC-RAS (Hydrologic Engineering Centers River Analysis System) at downstream. The SWAT model was calibrated with 2 years (2008~2009) daily streamflow and validated for another years (2010~2011. 7. 31). The SWAT model was simulated with 3 years (2008~2010) by monthly water quality (Sediment) at Gonjiamcheon water quality station. The streamflow and sediment from SWAT model were input as boundary conditions to HEC-RAS. The results of HEC-RAS indicated that mapping of floodplain boundary was Jiwol and Jiwol 2 district. Additionally, inundation area and depth were assessed and applied BMPs scenario for managing the sediment yield.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.294-297
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• 2004

The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study area of Janghung in Korea. We aimed to verify the effect of data selection on training sites. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use was constructed. Thirteen landslide-related factors were extracted from the spatial database. Using these factors, landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Five different training datasets were applied to analyze and verify the effect of training. Then, the landslide susceptibility indices were calculated using the trained back-propagation weights and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. The results of the landslide susceptibility maps were verified and compared using landslide location data. GIS data were used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool to analyze landslide susceptibility.

• Spatial Information Research
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• 제6권1호
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• pp.25-33
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• 1998

연구대상 지역은 1:50,000지형도 12매(김해, 부산, 밀양, 양산, 방어진, 동곡, 언양, 울산, 영천, 경주, 불국사 및 감포)를 포함하는 지역으로서 총 면적은 약 5,900Km/sup 2/에 이른다. 본 연구서는 4개의 주제도, 즉 산사태 및 불안정사면 분포도, 경사분류도, 토양분류도 및 선구조밀도도의 작성을 다루고 있다. 작성한 4개의 주제도와 GIS를 이용하여 연구지역의 상대적 사면안정성 분류도(축척 1:100,000)를 작성하였는데, 본 도는 광역 토지이용계획에 활용될 수 있다.

• 대한공간정보학회지
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• 제7권2호
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• pp.93-100
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• 1999

산불은 천연자원, 멸종위기에 처한 동 식물, 사람의 재산 및 생명까지도 항상 위협하는 존재이다. 산불의 효과적인 관리는 복잡한 공간 관련성뿐만 아니라 환경과 사람의 활동에 대한 철저한 이해를 필요로 한다. GSIS(Geo-Spatial Information System)는 산불에 대한 공간 특성을 분석하고 지도화 할 수 있는 능력을 가지고 있다. 이 연구에서는 지형, 식생, 생활환경, 토양, 지질 인자 등을 선정 분류하고, GSIS와 원격탐사 기술을 통합 적용하여 산불 발생 지점의 공간 분포를 분석하였다. 또한 1990년대 들어서 증가하고 있는 산불 발생 원인을 식생지수의 비교를 통하여 규명하고자 하였다.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.77-82
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• 2003

The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural network and to apply the developed techniques to the study area of janghung in Korea. Landslide locations were identified in the study area from interpretation of satellite image and field survey data, and a spatial database of the topography, soil, forest and land use were consturced. The 13 landslide-related factors were extracted from the spatial database. Using those factors, landslide susceptibility was analyzed by artificial neural network methods, and the susceptibility map was made with a e15 program. For this, the weights of each factor were determinated in 5 cases by the backpropagation method, which is a type of artificial neural network method. Then the landslide susceptibility indexes were calculated using the weights and the susceptibility maps were made with a GIS to the 5 cases. A GIS was used to efficiently analyze the vast amount of data, and an artificial neural network was turned out be an effective tool to analyze the landslide susceptibility.