• Spatial Information Research
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• 제8권1호
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• pp.101-116
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• 2000

서울시는 지하수법의 시행기관으로서 관할구역의 지하수에 대한 체계적개발·이용 및 보존관리를 수행하여야한다. 본 연구는 서울시 지하수의 체계적관리를 위한 기본연구로서 GIS 데이터베이스를 이용한 1/5,000 수문지질도를 시범작성하였으며, 이의 활용방안을 제시하였다. 서울시청 및 각 자치구청에서는 이러한 대축척의 수문지질도를 이용하여 지하수의 체계적 관리 및 개발이용에 관련된 신고, 허가 업무를 처리할 수 있을 것이다. 수문지질도의 정보들은 서울시에서 구상하고 있는 지하수관리, 통합정보시스템 내에 대단위의 GIS 데이터베이스로 구축될 예정이며, 본 연구를 통하여 1/5,000 수문지질도 데이터베이스 구축을 위한 지형지물 및 속성정보에 대한 분류체계가 정립되었다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.170-175
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• 2003

Ground and rock mass considered in tunnelling have characteristics such as uncertainty, heterogeneity and structural complexity because they have been formed undergoing various geological events for a long period. So, it is difficult for engineers to predict behaviors of rock mass in tunneling. In the paper the authors describe the development of an integrated expert system prototype for site investigation, design and construction in tunnelling and introduce the case applying this system to the tunnel construction site under construction. Geostructure Research Group in Korea Institute of Construction Technology (KICT) has developed the system during the past 4 years. The system mainly consists of several modules which is related to the design, construction and management of tunnelling. The test site, Neung-dong tunnel is located in Ulsan, Korea. The geology map shows it may confront big fault zone whose width is over kilometres. With the networking system of ITIS, various information of face mapping, monitoring and other construction task can be transmitted into the database and GIS Server at real time. And necessary analyses can be carried out with the modules equipped in the system.

• 한국환경과학회지
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• 제25권12호
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• pp.1653-1660
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• 2016

Drought is a reoccurring worldwide natural hazard that affects not only food production but also economics, health, and infrastructure. Drought monitoring is usually performed with precipitation-based indices without consideration of the actual state and amount of the land surface properties. A drought index based on the actual evapotranspiration can overcome these shortcomings. The severity of a drought can be quantified by making a spatial map. The procedure for estimating actual evapotranspiration is costly and complicated, and requires land surface information. The possibility of utilizing drone-driven remotely sensed data for actual evapotranspiration estimation was analyzed in this study. A drone collected data was used to calculate the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI). The spatial resolution was 10 m with a grid of $404{\times}395$. The collected data were applied and parameterized to an actual evapotranspiration estimation. The result shows that drone-based data is useful for estimating actual evapotranspiration and the corresponding drought indices.

• Journal of Plant Biology
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• 제12권4호
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• pp.19-29
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• 1969

This study investigated the vertical distribution of the vegetation in Mt. Hanla of Quelpart Island from 1967 to 1969. According to the physiognomy and life form of plants, the following plant communities are observed and arranged tentatively from the foot to the top. A. North-facing slope. (1) Grass land(0∼600m) (2) Deciduous broad-leaved forest(600∼1200m) (3) Mixed forest(broad and needle leaved forest : 1200∼1300m) (4) Evergreen coniferous forest(1300∼1700m) (5) Scrub communities(1700∼1950m) B. South-facing slope. (1) Grass land(0∼700) (2) Deciduous broad-leaved forest(700∼1300m) (3) Mixed forest(1300∼1550m) (4) Evergreen coniferous forest (1550∼850m) (5) Scrub communities(1850∼1950m) D. West-facing slope. (1) Grass land(0∼650) (2) Deciduous brod-leaved forest(650∼1400m) (3) Mixed forest(1400∼1500m) (4) Evergreen coniferous forest(1500∼1750m) (5) Scrub communities(1750∼1950m) The relation of the geological map and vegetation are as follows: (1) In the region of lava of Mt. Hanla are mainly distribut4ed deciduous broad-leaved forest. (2) In the region of Mt. Hanla are mainly distributed scrub. (3) In the region of lava of Gogun-san are involved deciduous broad-leaved forest, scrub and grass land of Gaimi-Dung.

• Geomechanics and Engineering
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• 제13권3호
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• pp.475-488
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• 2017

Geotechnical data contributes substantially to the cost of engineering projects due to increasing cost of site investigations. Existing information in the form of soil maps can save considerable time and expenses while deciding the scope and extent of site exploration for a proposed project site. This paper presents spatial interpolation of data obtained from soil investigation reports of different construction sites and development of soil maps for geotechnical characterization of Multan area using ArcGIS. The subsurface conditions of the study area have been examined in terms of soil type and standard penetration resistance. The Inverse Distance Weighting method in the Spatial Analyst extension of ArcMap10 has been employed to develop zonation maps at different depths of the study area. Each depth level has been interpolated as a surface to create zonation maps for soil type and standard penetration resistance. Correlations have been presented based on linear regression of standard penetration resistance values with depth for quick estimation of strength and stiffness of soil during preliminary planning and design stage of a proposed project in the study area. Such information helps engineers to use data derived from nearby sites or sites of similar subsoils subjected to similar geological process to build a preliminary ground model for a new site. Moreover, reliable information on geometry and engineering properties of underground layers would make projects safer and economical.

• 토지주택연구
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• 제11권4호
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• pp.67-74
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• 2020

Despite its ecological importance of wetlands in our life, wetlands around cities and villages have been steadily disappearing. It is mainly due to either natural geological changes or man-made causes such as permitted land zone changes for the purpose to convert to agriculture land. This study aims to establish a comprehensive database of wetlands using GIS in a historic conservation city Gongju City. The systemic data management would enable to identify distribution of wetlands and their ecological attributes, and to estimate the conservation value of the wetlands. The data base will be able to use in strategic way to preserve the local ecological areas for local residents and tourists and manage the quality of wetlands in the historic and conservation city. For the purpose, it is suggested organising a wider network with not only local residents but local authorities and relevant stakeholders would be beneficial. This study also recommends that long-term strategic plan to preserve the existing wetlands. This study findings as a seminal case example can be used to apply to other geographical areas of the country and can contribute to create a national ecological nature map as well as evaluate the attributes and quality of natural ecosystem service of the region.

• Geomechanics and Engineering
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• 제37권2호
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• pp.135-147
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• 2024

A GIS-based landslide susceptibility mapping (LSM) was carried out using frequency ratio (FR), modified frequency ratio (M-FR), analytic hierarchy process (AHP), and modified analytic hierarchy process (M-AHP) methods to identify and delineate the potential failure zones along the Halong - Vandon expressway. The thematic layers of various landslide causative factors were generated for modeling in GIS, including geology, rainfall, distance to fault, distance to road, slope, aspect, landuse, density of landslide, vertical relief, and horizontal relief. In addition, a landslide inventory along the road network was prepared using data provided by the management department during the course of construction and operation from 2017 to 2019, when many landslides were documented. The validation results showed that the M-FR method had the highest AUC value (AUC = 0.971), which was followed by the FR method with AUC = 0.961. The AUC values were 0.939 and 0.892 for the M-AHP and AHP methods, respectively. The generated LSM obtained from M-FR method classified the study area into five susceptibility classes: very low (0), low (0-1), moderate (1-2), high (2-3), and very high (3-4) classes, which could be useful for various stakeholders like planners, engineers, designers, and local public for future construction and maintenance in the study area.

• Geomechanics and Engineering
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• 제36권5호
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• pp.441-453
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• 2024

Sinkhole subsidence and collapse is a common geohazard often formed in karst areas such as the state of Florida, United States of America. To predict the sinkhole occurrence, we need to understand the formation mechanism of sinkhole and its karst hydrogeology. For this purpose, investigating the factors affecting sinkholes is an essential and important step. The main objectives of the presenting study are (1) the development of a machine learning (ML)-based model, namely C5.0 decision tree (C5.0 DT), for the prediction of sinkhole susceptibility, which accounts for sinkhole/subsidence inventory and sinkhole contributing factors (e.g., geological/hydrogeological) and (2) the construction of a regional-scale sinkhole susceptibility map. The study area is east central Florida (ECF) where a cover-collapse type is commonly reported. The C5.0 DT algorithm was used to account for twelve (12) identified hydrogeological factors. In this study, a total of 1,113 sinkholes in ECF were identified and the dataset was then randomly divided into 70% and 30% subsets for training and testing, respectively. The performance of the sinkhole susceptibility model was evaluated using a receiver operating characteristic (ROC) curve, particularly the area under the curve (AUC). The C5.0 model showed a high prediction accuracy of 83.52%. It is concluded that a decision tree is a promising tool and classifier for spatial prediction of karst sinkholes and subsidence in the ECF area.

• 생태와환경
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• 제48권1호
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• pp.61-67
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• 2015

본 연구의 결과 식생조사용 DB 구축 결과와 식생조사 결과를 반영한 식생도 구축 결과는 활엽수림이 71.965%, 71.184%로 거의 같았으며, 침엽수림(16.010%, 15.747%), 혼효림(10.619%, 12.085%), 암벽식생(0.015%, 0.002%) 분포비율의 차이가 크지 않았다. 식생조사 결과가 반영된 정밀식생도 중 식생 상관대분류에서 나타난 식생유형은 산지낙엽활엽수림이 전체의 60.096%를 차지하고 있어 가장 넓은 분포역을 나타내고 있었으며, 산지침엽수림 (16.332%), 산지습성림 (15.887%), 식재림 (3.558%) 순으로 분포비율이 높았다. 국립공원내에서 평가된 식생보전등급은 I등급과 II등급 지역이 각각 61.80%, 33.55%로써 전체 면적의 95.35%로써 생태자연도 1등급 지역에 속하는 높은 식생보전가치를 지니고 있는 것으로 분석되었다. 특히 극상림, 특이식생, 아고산대식생 등 I등급 지역의 분포비율이 높은 것은 다양한 기질특성, 높은 고도, 낮은 인위적 교란의 정도, 산의 정상부 능선지역에 형성된 아고산대식생과 기후적 지형적 특성을 반영한 식생을 형성하고 있기 때문인 것으로 보인다.

• 자원환경지질
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• 제52권6호
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• pp.573-586
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• 2019

우리나라 전역을 대상으로 공간 분석 기반 지진 위험 지도를 작성하고 지진 취약 지역을 평가하였다. 지진 피해에 영향을 미치는 지질학적 특성을 고려하여 지표를 선정하였으며, 지진 활동 위험과 관련된 확률론적 지진 위험도 및 단층 특성, 지진 피해 위험과 연관된 기반암 심도 정보가 이용되었다. 각 지표는 정규 크리깅, 선 밀도 및 가변적 지역 평균 기반 단순 크리깅과 같은 GIS 및 지구 통계학 기법을 활용하여 공간 정보로 구축되었다. 구축된 세 가지 공간 정보는 연구 목적, 자료의 해상도 및 정확도에 따라 가중치를 할당하여 통합되었다. 지진 활동 위험 지표인 확률론적 지진 위험도와 단층 선 밀도의 경우 데이터의 불확실성이 비교적 크기 때문에 경향성 만을 반영하고자 먼저 가중 합한 후, 지진 피해 위험 지표인 기반암 심도 분포와 통합되었다. 이를 통해 세 가지 공간 자료의 분석에 기반한 지진 위험 지도가 작성되었으며, 우리나라 남동부와 북서부 지역이 지진 위험도가 높은 것으로 평가되었다. 본 연구 결과는 지진 재해를 최소화하기 위한 지진 대응 시스템을 구축하는데 기초 자료로 활용될 수 있을 것으로 기대된다.