• 한국농림기상학회지
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• 제15권1호
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• pp.17-25
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• 2013

본 연구는 복잡한 산악지형에서 바람장 변화를 해석하고, 산불발생시 확산방향을 예측하여 산불방지 전략에 활용하기 위해서 수행되었다. 연구 대상지는 2000년 4월 7일 산불이 발생하여 10일간 진행되었던 삼척지역을 대상으로 하였다. 삼척 산불피해지는 복잡한 산악구조를 가지고 있는데 먼저 중규모 기상 모델인 WRF를 사용하여 대상지에 설치한 AWS(4 지점)의 관측결과와 비교하였다. WRF 모의 결과, 4개 지점의 풍속은 AWS 관측지점의 풍속에 비해 5~8m/s(200% 과대평가) 강하였으며, 관측된 풍향은 지점마다 다양하게 나타난 것에 비해 모의된 풍향은 모든 지점에서 서풍계열로 나타났다. 결과적으로 WRF와 같은 중규모 기상모델은 복잡한 산악지형에서의 바람장 변화를 잘 모의하지 못하였다. 이러한 문제점을 해결하기 위해 미기상 대기유동장 수치모형인 ENVI-met 프로그램을 이용하여 지표면 높이에서 삼척 LTER 지역의 국지규모 바람장을 모의하였다. 지형효과에 의한 모델의 민감도를 위해 다양한 초기 조건(기류, 온 습도, 대기난류, 토양 및 식생 모형)들을 고려하여 분석하였다. ENVI-met 모의결과, 풍속은 실측과 비교할 때 약 70%의 정확도를 보였으며, 풍향은 계곡부와 능선부에서 지형효과로 인한 변화를 잘 반영하였다. 향후 ENVI-met은 산불확산예측 및 산불방지전략 수립을 위해 미기상 대기유동장 수치모형을 이용하여 산악지역의 미기상 해석에 관한 연구가 필요할 것으로 판단된다.

• Wind and Structures
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• 제30권6호
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• pp.649-662
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• 2020

The existence of a dam has potential effects on the surrounding wind environment especially when it is located in mountainous areas. In this situation, the long-span bridge over the reservoir can easily be exposed to non-uniform incoming flows, affecting its wind-resistance performance. This paper presents a study on the aerostatic stability of such a bridge. Wind tunnel tests were first carried out to investigate the wind environment above a mountainous reservoir. The results show that the angle of attack and the wind speed along the bridge axis show obvious non-uniform characteristics, which is related to the inflow direction. When winds come from the south where the river is winding, the angle of attack varies along the span direction significantly. The finite element model for the bridge was established using ANSYS software, and effects of non-uniform wind loads on the aerostatic stability were computed. Non-uniform angle of attack and wind speed are unfavorable to the aerostatic stability of the bridge, especially the former. When the combined action of non-uniform angle of attack and wind speed is considered, the critical wind speed of aerostatic instability is further reduced. Moreover, the aerostatic stability of the bridge is closely related to the dam height.

• 대한원격탐사학회지
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• 제40권4호
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• pp.397-418
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• 2024

The Land Surface Temperature (LST) is a crucial parameter in identifying drought. It is essential to identify how LST can increase its accuracy, particularly in mountainous and hill areas. Increasing the LST accuracy can be achieved by applying early data processing in the correction phase, specifically in the context of topographic correction on the Lambertian model. Empirical evidence has demonstrated that this particular stage effectively enhances the process of identifying objects, especially within areas that lack direct illumination. Therefore, this research aims to examine the application of the Lambertian model in estimating LST using the Multi-Channel Method (MCM) across various physiographic regions. Lambertian model is a method that utilizes Lambertian reflectance and specifically addresses the radiance value obtained from Sun-Canopy-Sensor(SCS) and Cosine Correction measurements. Applying topographical adjustment to the LST outcome results in a notable augmentation in the dispersion of LST values. Nevertheless, the area physiography is also significant as the plains terrain tends to have an extreme LST value of ≥ 350 K. In mountainous and hilly terrains, the LST value often falls within the range of 310-325 K. The absence of topographic correction in LST results in varying values: 22 K for the plains area, 12-21 K for hilly and mountainous terrain, and 7-9 K for both plains and mountainous terrains. Furthermore, validation results indicate that employing the Lambertian model with SCS and Cosine Correction methods yields superior outcomes compared to processing without the Lambertian model, particularly in hilly and mountainous terrain. Conversely, in plain areas, the Lambertian model's application proves suboptimal. Additionally, the relationship between physiography and LST derived using the Lambertian model shows a high average R² value of 0.99. The lowest errors(K) and root mean square error values, approximately ±2 K and 0.54, respectively, were achieved using the Lambertian model with the SCS method. Based on the findings, this research concluded that the Lambertian model could increase LST values. These corrected values are often higher than the LST values obtained without the Lambertian model.

• ETRI Journal
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• 제28권6호
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• pp.796-798
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• 2006

This letter proposes a tapered stacked microstrip antenna for application in small unmanned aerial vehicles (UAVs), which has advantages in mountainous terrains. With its tapered structure and increased bandwidth designed to operate at the resonance frequency of 2.4 GHz, the proposed antenna improves directivity, accuracy, and precision of small UAVs. The test flight results show the proposed tapered antenna has a three times higher impedance capability of 350 MHz based on VSWR<2. The transmission pattern is also more reliable than that of previous antenna designs.

• 한국정보처리학회논문지
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• 제4권2호
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• pp.586-595
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• 1997

본 논문에서는 프렉탈과 신경망을 이용하여 등고선 데이타로부터 3차원 지형을 복원하는 더욱 개선된 알고리즘을 제안한다. 본 알고리즘은 이미 제안한 것[1, 2, 3]을 바탕으로 인접 패치들과의 관계를 고려하여 개선한 것으로, 지형의 특징을 좀더 사실 적으로 반영할 수 있는 더 많은 조건을 부여한 데이타를 기존의 특징 데이타에 부가하여 학습한다. 학습 결과 평균오차가 줄어든 학습 패턴을 이용하여 산악지형과 평탄지형 에 대하여 실험하고 결과 산악지형에 대한 적용이 더 효과적임을 보였다.

• Wind and Structures
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• 제38권4호
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• pp.231-244
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• 2024

As wind farms expand into low wind speed areas, an increasing number are being established in mountainous regions. To fully utilize wind energy resources, it is essential to understand the details of mountain flow fields. Reconstructing the wind speed field in complex terrain is crucial for planning, designing, operation of wind farms, which impacts the wind farm's profits throughout its life cycle. Currently, wind speed reconstruction is primarily achieved through physical and machine learning methods. However, physical methods often require significant computational costs. Therefore, we propose a Full Convolutional Neural Network (FCNN)-based reconstruction method for mountain wind velocity fields to evaluate wind resources more accurately and efficiently. This method establishes the mapping relation between terrain, wind angle, height, and corresponding velocity fields of three velocity components within a specific terrain range. Guided by this mapping relation, wind velocity fields of three components at different terrains, wind angles, and heights can be generated. The effectiveness of this method was demonstrated by reconstructing the wind speed field of complex terrain in Beijing.

• 한국지반공학회논문집
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• 제40권6호
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• pp.171-181
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• 2024

본 연구는 복잡한 산지에서의 산사태 위험성을 정밀하게 평가하기 위해, 기존 1차원 무한사면 해석법의 한계를 보완하고 Shin(2023)의 3차원 한계평형 해석법을 적용하였다. DEM 데이터와 토심 예측식을 활용하여 토심 분포를 산정하고, 강우 침투 해석 및 정적·의사정적 조건에서의 사면 안정성을 순차적으로 분석하였다. 안정성 평가는 안전율(FS)과 임계유발체적을 고려한 안정성 지수(SI)를 사용하였으며, 주변 격자의 영향을 반영한 수정된 안정성 지수를 통해 산사태 가능 지역을 시각화하였다. 우면산 사례 분석 결과, 예측된 산사태 발생 위치가 실제와 대체로 일치하였고, 동작구 해석에서는 정적·의사정적 조건에서 주요 위험 지역이 유사하게 나타났다. 이 기법은 산사태 위험 평가와 예측에 유용한 도구임을 확인하였으나, 현장 조건과의 차이를 줄이기 위해 정밀한 현장 조사와 추가적인 해석이 필요하다.

• 한국국방경영분석학회지
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• 제23권2호
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• pp.155-170
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• 1997

Currently, increasing the number of artillery units requires more deployment space in FABA. However, available positions of artillery units in FEBA is limited due to mountainous terrains. Therefore, it is hard to find enough artillery position space in accordance with the field artillery mannual. This paper studies on determination of the size of battery position in order to maximize the firing-effectiveness and to minimize the enemy threat. Also, it studies the possibility of reducing the size of a battery position. The optimum size of a battery position id obtained by using Dantzig's model and Supper Quick II model which produces the probability of kill data with various input data. As a result, it shows that the size of battery position can be reduced without decreasing the firing-effectiveness.

• 한국국방경영분석학회지
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• 제18권1호
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• pp.74-85
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• 1992

Increasing the number of artillery units requires more deployment space in the field operation area. However, there is limited space available in FEBA due to mountainous terrains. Therefore most artillery units cannot occupy enough deployment space which is proposed in the field artillery mannual(FM) to maximize the firing-effectiveness and to minimize the enemy threat. This paper studies the problems of reducing the size of a battery deployment space being applied currently without decreasing the firing-effectiveness of the battery. The optimum size of a battery position is obtained by using Lemus and David's allocation model and Supper Quick II Model which produces the probability of kill data with various input data. The result shows that the battery deployment space can be reduced without decreasing the firing-effectiveness in the example problem.

• Journal of Species Research
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• 제12권3호
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• pp.224-228
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• 2023

Three wolf spiders of the family Lycosidae Sundevall, 1833 are newly described from Korea: Arctosa labiata Tso & Chen, 2004, Pardosa altitudis Tikader & Malhotra, 1980, and Pardosa laevitarsis Tanaka & Suwa, 1986. These spiders were collected during a seasonal survey of the spider fauna of National Parks located in Gangwon-do and Gyeongsanbuk-do in 2018-2019; two males of A. labiata from Mt. Songnisan National Park, one female of P. altitudis from Mt. Chiaksan National Park, and two males of P. laevitarsis from Mt. Odaesan and Sobaeksan National Parks. The three newly recorded spiders have previously been known to be distributed in Taiwan, India, China, and Japan. These spiders were collected by hand in mixed forest leaf litter in mountainous terrains. The present paper taxonomically describes these three wolf spiders with measurements and morphological illustrations.