• 한국수자원학회논문집
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• 제53권10호
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• pp.833-843
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• 2020

생태수리학은 수생생태학을 한 축으로, 지형학, 수문학, 유체동력학 등을 또 다른 한 축으로 1990년대 초 탄생한 다학제간 연구분야이다. 생태수리학을 흐름, 유사이송, 지형, 동식물, 수리구조물 등 5가지 주요인자 간 상호 관계나 작용을 기준으로 구분하면 서식처수리( 환경유량 포함), 식생수리, 생태통로수리, 부영양화수리, 생태복원수리의 5개로 나눌 수 있다. 지난 20여 년간 관련 국제논문집에 게재된 생태수리학 관련연구는 물고기반응, 수리모델링, 물리서식처반응 분야에 치우쳤으며, 이는 아직 진정한 학제 간 상호반응적 연구단계로 진입하지 못했음을 의미한다. 한편 1997년 이후 한국수자원학회 논문집에 게재된 생태수리학 관련논문 수는 전체의 3% 수준에 불과하며, 생태수리학과 더 밀접한 응용생태공학회 논문집에 게재된 논문 수도 20% 수준에 머물렀다. 이 두 논문집에 게재된 논문들은 주로 서식처수리, 식생수리, 생태복원수리 분야이었으며, 난류모의를 포함한 동적 흐름모의, 동물유영모의, 부영양화수리 분야는 사실상 없는 것으로 나타났다. 국내의 하천특성 및 생태수리학의 사회적 수요를 고려하여 앞으로 연구개발이 시급한 분야는 1) 국내하천 여건에 맞는 환경유량의 평가기법, 2) 화이트리버의 그린리버 변화현상을 평가할 수 있는 동적 홍수터식생모형(DFVM)의 개발, 3) 정수역 및 유수역에서 수리조건 중심으로 조류생성을 평가할 수 있는 모형개발, 4) 하천지형복원이나 소형 보/댐의 가동정지(decommissioning) 및 철거에 따른 물리/화학/생물적 영향을 평가할 수 있는 모형개발 등이다.

• 한국환경복원기술학회지
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• 제24권5호
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• pp.1-14
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• 2021

Excessive development and urbanization have destroyed animal, plant, habitats and reduced biodiversity. In order to preserve species diversity, habitat prediction studies are have been conducted at home and overseas using various modeling techniques. This study was conducted to suggest optimal habitat modeling research by comparing HSI and MaxEnt, which are widely used among habitat modeling techniques. The study was targeted on the endangered species of Prionailurus bengalensis in nearby areas (5460.35km2) including Cheonan City, and the same data were used for analysis to compare those models. According to the HSI analysis, Prionailurus bengalensis's habitat probability was 74.65% for less than 0.5 and 25.34% for more than 0.5 and the top 30% were forest (99.07%). MaxEnt's analysis showed that 56.22% of those below 0.5 and 43.79% of those above 0.5 were found to have a high explanatory power of 78.3% of AUC. The Paired Wilcoxn test, which evaluated the significance of thoes models, confirmed that the mean difference between the two models was statistically significant (p<0.05). Analysis of the differences in the results of those models using the matrix table shows that score 24.43% HSI and MaxEnt was accordance,12.44% of the 0.0 to 0.2 section, 7.22% of the 0.2 to 0.4 section, 2.73% of the 0.4 to 0.6 section, 1.96% of the 0.6 to 0.8, and 0.08% of the 0.9 to 1.0. To verify where the score difference appears, the result values of those models were reset to values from 1 to 5 and overlaid. Overlapping analysis resulted in 30.26% of the Strongly agree values, 56.77% of the agree values, and 11.92% of the Disagree values. The places where the difference in scores occurs were analyzed in the order of forest (45.23%), agricultural land (34.57%), and urbanization area (7.65%). This confirmed that the analysis of the same target species within the same target site also has differences in forecasts depending on the modelling method. Therefore, a novel analysis method combining the advantages of each modeling in habitat prediction studies should be developed, and future study may be used to select Prionailurus bengalensis and species-protected areas and species protection areas in the future. Further research is judged to require higher accuracy studies through the use of various modeling techniques and on-site verification.

• 지적과 국토정보
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• 제47권1호
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• pp.179-190
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• 2017

문화재의 현황 파악 및 복원을 위한 3차원 모델링에 있어서 지상 LiDAR와 UAV의 활용방안을 제시하고자 대상 문화재에 대해 지상 LiDAR 측량을 실시하고 UAV 영상을 취득하였다. 이를 통해 생성된 포인트 클라우드의 정확도를 비교하고 3차원 모델의 중첩분석 및 융합 모델을 생성하였다. 그 결과, 문화재의 변위 및 변형을 감지하기 위해 실시하는 3차원 모델링의 경우에는 지상 LiDAR를 이용한 정밀한 모델링이 적합함을 알 수 있었으며, UAV 모델은 지상 LiDAR 모델에 비해 급격한 굴곡이 발생하는 부분을 상세하게 표현하지 못하는 한계가 있지만 UAV 모델은 모델링을 수행하는 범위가 넓으며 실물 문화재의 모델링이 가능한 이점이 있음을 알 수 있었다. 또한 최종적으로 지상 LiDAR 모델과 UAV 모델의 이점을 살린 융합 모델을 생성함으로써 문화재의 기초자료 구축 분야에서 효율적인 활용이 가능할 것으로 판단된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 C
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• pp.1218-1220
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• 1999

In this paper, we developed object-oriented analysis method for electric power system. It was applied to fault diagnosis, power system stability analysis and service restoration system in emergency state. Objectoriented programming(OOP)is a more flexible method than procedural programming. We proposed flexible modeling method for power system analysis.

• Journal of International Society for Simulation Surgery
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• 제1권2호
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• pp.83-86
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• 2014

Purpose This paper was purposed to suggest the method to produce the supportive helmet (head correction) for the infants who are suffering from plagiocephaly and to evaluate the level of transformation through 3D model. Method Either of CT or X-ray restored images has been used in making the supportive helmet (Head correction) in general, but these methods of measuring have problems in cost and safety. 3D surface measurement technology was suggested to solve such matters. Results It was to design the transformed model of the head within 0.7cm in average by scanning the surface of head and performing 3D restoration with marching cube and the changing rate of the head was compared in numerical data with 3D model. Conclusion The suggested methods displayed the better performance than the conventional method in respect of the speed and cost.

• 보존과학회지
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• 제35권3호
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• pp.217-225
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• 2019

왕흥사지 치미는 현존하는 우리나라 최고(最古)의 치미로 왕흥사의 동건물지 남측에서 상단이, 북측에서 하단이 출토되었다. 2개의 치미는 조형적 특징이 유사하고 동일한 건물지의 양쪽에서 출토된 점을 미루어 볼 때, 한 쌍의 치미인 것으로 판단되는데, 2점 모두 유실부가 큰 관계로 본래의 모습을 확인하지 못하는 아쉬움이 있다. 따라서 본 연구에서는 왕흥사지 치미의 역사적 가치 회복을 위해 3차원 스캐닝과 컴퓨터 수치제어 기술(computer numerical control, 이하 CNC)을 이용하여 유실부의 복원품을 제작하였다. 유실부 복원은 조형적 특성을 기준으로 진행되었으며, 특히 국내 치미에서 휘어짐 현상이 관찰됨에 따라 실제 편의 휘어지는 방향을 토대로 모델링데이터가 자연스럽게 휘어지도록 수차례 수정하였으며 상 하단 문양의 자연스러운 연결과 경계면의 이격이 발생되지 않는 것에 중점을 두어 진행하였다. 이를 통해 3D 스캐닝과 CNC를 접목한 복원 방법은 비접촉식으로 유물에 손상을 주지 않고 작업성과 재현성이 우수하여 유물 복원에 적합함을 확인하였다. 뿐만 아니라, 모델링 데이터는 반영구적으로 사용이 가능한 바, 유물의 특성에 맞게 활용된다면 향후 문화유산 복원분야를 비롯한 사이버 가상 전시, hands-on 전시와 같은 다양한 형태의 전시와 교구 및 기념품 제작 등 다양한 분야에서도 활발히 활용될 것으로 사료된다.

• 한국환경복원기술학회지
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• 제26권5호
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• pp.19-32
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• 2023

The fragmentation of habitats resulting from human activities leads to the isolation of wildlife and it also causes wildlife-vehicle collisions (i.e. Road-kill). In that sense, it is important to predict potential habitats of specific wildlife that causes wildlife-vehicle collisions by considering geographic, environmental and transportation variables. Road-kill, especially by large mammals, threatens human safety as well as financial losses. Therefore, we conducted this study on roe deer (Capreolus pygargus tianschanicus), a large mammal that causes frequently Road-kill in Jeju Island. So, to predict potential wildlife habitats by considering geographic, environmental, and transportation variables for a specific species this study was conducted to identify high-priority restoration sites with both characteristics of potential habitats and road-kill hotspot. we identified high-priority restoration sites that is likely to be potential habitats, and also identified the known location of a Road-kill records. For this purpose, first, we defined the environmental variables and collect the occurrence records of roe deer. After that, the potential habitat map was generated by using Random Forest model. Second, to analyze roadkill hotspots, a kernel density estimation was used to generate a hotspot map. Third, to define high-priority restoration sites, each map was normalized and overlaid. As a result, three northern regions roads and two southern regions roads of Jeju Island were defined as high-priority restoration sites. Regarding Random Forest modeling, in the case of environmental variables, The importace was found to be a lot in the order of distance from the Oreum, elevation, distance from forest edge(outside) and distance from waterbody. The AUC(Area under the curve) value, which means discrimination capacity, was found to be 0.973 and support the statistical accuracy of prediction result. As a result of predicting the habitat of C. pygargus, it was found to be mainly distributed in forests, agricultural lands, and grasslands, indicating that it supported the results of previous studies.

• Spatial Information Research
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• 제22권5호
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• pp.53-63
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• 2014

최근 생태자원에 대한 관심이 증가함에 따라, 자연환경의 복원과 보존이나 경관성 평가 등을 위해 생태자원을 3차원으로 시각화하려는 노력이 늘어나고 있다. 그러나 산림자원의 경우 정보의 추출은 활발하지만 그 정보를 활용하여 효과적으로 시각화 하려는 노력은 일어나지 않고 있다. 즉 산림자원의 시각화에 있어 현실적이지 못하거나 각종 분석에서 요구하는 시뮬레이션이 부적합한 경우가 다수이며 이를 효과적으로 시각화하려는 노력은 부족하였다. 따라서 본 논문에서는 항공 LiDAR 데이터와 항공사진, 임상도(Forest Type Map)를 통해 산림정보를 추출하여 Vegetation Layer를 생성한 후 Flora3D 수목모델링 툴과 ArcGlobe를 이용하여 Vegetation Layer를 3차원으로 정밀하게 시각화하였다. 지리정보시스템 내에서 사용자가 산림정보를 직관적이고 현실적으로 인식할 수 있도록 함으로써 생태자원의 복원과 보존, 도시경관 등을 위한 분석에 효율적으로 활용할 수 있을 것으로 판단된다.

• 한국환경복원기술학회지
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• 제17권1호
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• pp.111-122
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• 2014

The provided habitat of many services from natural capital is important. But because most ecosystem services tools qualitatively evaluated biodiversity or habitat quality, this study quantitatively analyzed those aspects using the species distribution model (MaxEnt). This study used location point data of the goat(Naemorhedus caudatus), marten(Martes flavigula), leopard cat(Prionailurus bengalensis), flying squirrel(Pteromys volans aluco) and otter(Lutra lutra) from the 3rd National Ecosystem Survey. Input data utilized DEM, landcover classification maps, Forest-types map and digital topographic maps. This study generated the MaxEnt model, randomly setting 70% of the presences as training data, with the remaining 30% used as test data, and ran five cross-validated replicates for each model. The threshold indicating maximum training sensitivity plus specificity was considered as a more robust approach, so this study used it to conduct the distribution into presence(1)-absence(0) predictions and totalled up a value of 5 times for uncertainty reduction. The test data's ROC curve of endangered mammals was as follows: growing down goat(0.896), otter(0.857), flying squirrel(0.738), marten(0.725), and leopard cat(0.629). This study was divided into two groups based on habitat: the first group consisted of the goat, marten, leopard cat and flying squirrel in the forest; and the second group consisted of the otter in the river. More than 60 percent of endangered mammals' distribution probability were 56.9% in the forest and 12.7% in the river. A future study is needed to conduct other species' distribution modeling exclusive of mammals and to develop a collection method of field survey data.

• 한국환경복원기술학회지
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• 제25권3호
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• pp.29-45
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• 2022

For biodiversity conservation, the importance of beta-diversity which is changes in the composition of species according to environmental changes has become emphasized. However, given the systematic investigation of species distribution and the accumulation of large amounts of data in the Republic of Korea(ROK), research on the spatialization of beta-diversity using them is insufficient. Accordingly, this research investigated the applicability of the Generalized Dissimilarity Modeling(GDM) to ROK, which can predict and map the similarity of compositional turnover (beta-diversity) based on environmental variables. A brief overview of the statistical description on using GDM was presented, and a model was fitted using the flora distribution data(410,621points) from the National Ecosystem Survey and various environmental spatial data including climate, soil, topography, and land cover. Procedures and appropriated spatial units required to improve the explanatory power of the model were presented. As a result, it was found that geographical distance, temperature annual range, summer temperature, winter precipitation, and soil factors affect the dissimilarity of the vegetation community composition. In addition, as a result of predicting the similarity of vegetation composition across the nation, and classifying them into 20 and 100 zones, the similarity was high mainly in the central inland area, and tends to decrease toward the mountainous areas, southern coastal regions, and island including Jeju island, which means the composition of the vegetation community is unique and beta diversity is high. In addition, it was identified that the number of common species between zones decreased as the geographic distance between zones increased. It classified the spatial distribution of plant community composition in a quantitative and objective way, but additional research and verification are needed for practical application. It is expected that research on community-level biodiversity modeling in the ROK will be conducted more actively based on this study.