• 한국지능시스템학회논문지
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• 제23권2호
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• pp.93-99
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• 2013

프랙탈 이론은 컴퓨터 과학, 공학, 의학, 기상학 등 여러 분야에서 직면하는 복잡하고 불규칙적인 자연현상을 모델링할 수 있는 효과적인 도구로서 인정받아 왔다. 본 연구에서는 지형 및 이미지의 프랙탈 정보 추출에 많이 이용되는 삼각프리즘법의 정밀도를 개선하는 문제를 다룬다. 이를 위해 기존의 샘플링 방법들을 분석하고 그들의 장점을 취하는 새로운 샘플링 방법을 제안한다. 가상의 프랙탈 맵에서 제안된 방법을 다른 방법과 비교하며 그 유효성을 검정한다.

• 한국기후변화학회지
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• 제5권4호
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• pp.323-329
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• 2014

Since the terrain of Korea is complex, micro- as well as meso-climate variability is extreme by locations in Korea. In particular, air temperature of agricultural fields is influenced by topographic features of the surroundings making accurate interpolation of regional meteorological data from point-measured data. This study was carried out to compare spatial interpolation methods to estimate air temperature in agricultural fields surrounded by rugged terrains in South Korea. Four spatial interpolation methods including Inverse Distance Weighting (IDW), Spline, Ordinary Kriging (with the temperature lapse rate) and Cokriging were tested to estimate monthly air temperature of unobserved stations. Monthly measured data sets (minimum and maximum air temperature) from 588 automatic weather system(AWS) locations in South Korea were used to generate the gridded air temperature surface. As the result, temperature lapse rate improved accuracy of all of interpolation methods, especially, spline showed the lowest RMSE of spatial interpolation methods in both maximum and minimum air temperature estimation.

• 자원환경지질
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• 제51권5호
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• pp.409-428
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• 2018

영동지역은 지체구조상 옥천습곡대의 중앙 남동부와 영남육괴와의 경계부에 위치하며, 이들 경계부에는 백악기 영동 퇴적분지가 분포한다. 영동지역의 지질은 주로 선캠브리아시대 소백산 편마암복합체, 중생대 화강암류와 퇴적암류, 그리고 이들 암석을 부정합으로 덮은 제4기 충적층으로 이루어져 있다. 이외에도, 시대미상의 옥천누층군, 고생대의 퇴적암류, 트라이아스기의 화강암류들이 북서측에서 소규모로 산출된다. 이들 다양한 지질에서 산출되는 지하수 내 Rn 함량 특성을 검토하기 위해, 충적층/풍화대 지하수 관정 20개, 암반 지하수 관정 60개를 대상으로 2015년 8월 풍수기와 2016년 3월 갈수기 2 차례에 걸쳐 시료를 채취 분석하였다. 충적/풍화대 지하수의 Rn 함량은 백악기 반암 뿐 아니라 일부 쥬라기 화강암류와 소백산 편마암류 지역에서 높게 나타났다. 그러나, 상세 지질을 살펴보면, 쥬라기 화강암과 흑운모 편마암 자체보다는 인근의 백악기 반암과의 경계부 혹은 반암 인근의 관정 지하수에서 Rn 함량이 높게 나타나는 경향을 볼 수 있다. 암반 지하수에서의 상세 지질별로 Rn 함량 산출 특성을 살펴보면, 영동분지 내 백악기 퇴적암과 소백산 편마암복합체 중 흑운모 편마암과 편암 지역에서 Rn 함량이 적은 편이었고, 백악기 반암 자체, 트라이아스기 청산화강암과 복운모화강암의 경계부위, 쥬라기 화강암과 반암 경계부, 편마암 복합체 중 화강암질 편마암 혹은 화강편마암 지역에서 Rn 함량이 상대적으로 높게 검출되는 것들이 나타났다. 지하수 내 Rn 함량과 지질과의 연관성을 검토할 때, 개략적이고 큰 규모의 지질보다는 맥상 규모로 작은 규모와 이에 따른 정밀한 지질 상황을 고려할 때 지질 및 암종에 따른 Rn 함량의 변화 및 관련성을 의미있게 논의할 수 있을 것으로 판단된다. 또한, 지하수 관정이 위치한 지점에서의 지질 자체보다는 인근에 소규모로 산출되는 맥암, 페그마타이트, 석영맥 등의 산출 및 이들과 관련된 광화대/변질대 등 특수한 지질 상황을 고려한 지하수 수질 특성을 검토할 필요가 있다.

• 대기
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• 제30권3호
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• pp.277-291
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• 2020

Low-level wind shear (LLWS) events on glide path at Jeju International Airport (CJU) are evaluated using the Aircraft Meteorological Data Relay (AMDAR) and Korea Meteorological Administration Post-Processing (KMAPP) with 100 m spatial resolution. LLWS that occurs in the complex terrains such as Mt. Halla on the Jeju Island affects directly aircraft approaching to and/or departing from the CJU. For this reason, accurate prediction of LLWS events is important in the CJU. Therefore, the use of high-resolution Numerical Weather Prediction (NWP)-based forecasts is necessary to cover and resolve these small-scale LLWS events. The LLWS forecasts based on the KMAPP along the glide paths heading to the CJU is developed and evaluated using the AMDAR observation data. The KMAPP-LLWS developed in this paper successfully detected the moderate-or-greater wind shear (strong than 5 knots per 100 feet) occurred on the glide paths at CJU. In particular, this wind shear prediction system showed better performance than conventional 1-D column-based wind shear forecast.

• 대한공간정보학회지
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• 제15권3호
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• pp.27-32
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• 2007

도시의3차원적인 성장 및 건물의 대형화, 복잡화에 따라 3차원 정보에 대한 요구가 증가하고 있다. 이와 더불어 위치기반안내, 경로탐색 또는 비상탈출 등과 같은 유비쿼터스 컴퓨팅의 기초데이터로써 3차원 GIS의 활용에 대한 관심 또한 증가하고 있다. 반면에 대부분의3차원 모델링 기술은 건물이나 지형의 시각적인 표현에 초점을 맞추고 있으며 공간분석에서 요구되는 위상구조는 갖고 있지 않다. 본 연구에서는3차원 모델에 위상구조를 적용하는 방법으로 2차원 GIS와 3차원 모델의 연동을 제시하고자 한다. 3차원 모델의 공간별로 분리된 객체를 상응하는 2차원 GIS 레이어의 피쳐와 데이터베이스의 레코드를 통해 연계하고 이로써 3차원 객체간의 관계를 정의하였다. 또한 2차원과 3차원이 연동된 건물모델의 복도네트워크를 구축하였다. 마지막으로 연동된 3D모델을 이용하여 건물내부에서 최적 경로분석을 몇 가지 시나리오를 통해 실시하였다.

• 통합자연과학논문집
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• 제2권2호
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• pp.131-167
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• 2009

Global warming is regarded as one of the most critical issues that should be taken care of by the entire global community as it threatens the survival of mankind. South Korea, in particular, undergoes faster warming than the average rate of global warming. South Korea has revealed various warming rates and trends being surrounded by sea on three sides and having complex terrains dominated by mountains. The rates vary according to regions and their urbanization and industrialization. Differences also derive from seasons and weather elements. Changes to the highest, mean, and lowest temperature are also different according to the characteristics of regions and observatories, which is more apparent where the force of artificial weather applies. In an urban area, temperature gaps tend to decrease as the lowest temperature rises more than the highest temperature. Meanwhile, temperature gaps grow further in a coastal or country region where the force of artificial weather is small and the force of natural weather prevails. In this study, the investigator analyzed the changes to the weather elements of 11 observation spots that had gone through no changes in terms of observation environment since 1961, were consecutively observed, and had the quality of their observation data monitored on an ongoing basis. Using the results, I tried to identify natural and artificial causes affecting certain spots. Located on the east coast of the Asian Continent, South Korea sees weather changing very dynamically. Having huge influences on our weather, China has achieved very rapid industrialization for the last 30 years and produced more and more greenhouse gases and air pollution due to large-size development projects. All those phenomena affect our weather system in significant ways. Global warming continues due to various reasons with regional change differences. Thus the analysis results of the study will hopefully serve as basic data of weather statistics with which to set up countermeasures against climate changes.

• 한국농공학회논문집
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• 제53권1호
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• pp.29-36
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• 2011

HPAI (High pathogenic avian influenza) which is a disease legally designated as an epidemic generally shows rapid spread of disease resulting in high mortality rate as well as severe economic damages. Because Korea is contiguous with China and southeast Asia where HPAI have occurred frequently, there is a high risk for HPAI outbreak. A prompt treatment against epidemics is most important for prevention of disease spread. The spread of HPAI should be considered by both direct and indirect contact as well as various spread factors including airborne spread. There are high risk of rapid propagation of HPAI flowing through the air because of collective farms mostly in Korea. Field experiments for the mechanism of disease spread have limitations such as unstable weather condition and difficulties in maintaining experimental conditions. In this study, therefore, computational fluid dynamics which has been actively used for mass transfer modeling were adapted. Korea has complex terrains and many livestock farms are located in the mountain regions. GIS numerical map was used to estimate spreads of virus attached aerosol by means of designing three dimensional complicated geometry including farm location, road network, related facilities. This can be used as back data in order to take preventive measures against HPAI occurrence and spread.

• 한국조경학회지
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• 제26권3호
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• pp.162-177
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• 1998

Conentionally, LS factor for the USLE suggested by Wischmeier has been computed manually on topographic maps based on one dimensional approach. But outcomes of the equation could be severely affected by the convergence and divergence of surface runoff at complex terrains. Thus the objective of this research are to develop a method to automatically compute LS factor based on the multiple flow algorithm, and to test the accuracy of this method by comparing outcomes of this method to previous measurements or estimations of soil erosion. The program for the automatic calculation of LS factor was developed by utilizing Fox Pro 4.5, and outcomes of the program is designed to input to IDRISI. The accuracy test of LS factor was carried out by comparing the actual measurements of soil loss at two test sites in and around of Suwon. The calculated volume of soil erosion at Buju mountain, Mokpo, was also compared to the outcome of a previous research based on the LS factor calculated by the conventional onedimensional approach. The outcomes of this research are as follows. First, the computed L based on the multiple flow algorithm for concae slopes are greater than those of convex slopes,. Second, the estimated soil loss based on this method at the test site in Mokpo is much greater than the outcomes based on the conventional one-dimensional approach. It can e concluded that the application of this automatic calculation method of LS factor can improve the accuracy of USLE and facilitate soil erosion prevention methods.

• Wind and Structures
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• 제28권2호
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• pp.129-140
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• 2019

Accurately simulating the wind field of large-scale region, for instant urban areas, the locations of large span bridges, wind farms and so on, is very difficult, due to the complicated terrains or land surfaces. Currently, the regional wind field can be simulated through the combination of observation data and numerical model using observation-nudging in the Weather Research and Forecasting model (WRF). However, the main drawback of original observation-nudging method in WRF is the effects of observation on the surrounding field is fully mathematical express in terms of temporal and spatial, and it ignores the effects of terrain, wind direction and atmospheric circulation, while these are physically unreasonable for the turbulence. For these reasons, a spatial correlation-based observation-nudging method, which can take account the influence of complicated terrain, is proposed in the paper. The validation and comparation results show that proposed method can obtain more reasonable and accurate result than original observation-nudging method. Finally, the discussion of wind field along bridge span obtained from the simulation with spatial correlation-based observation-nudging method was carried out.

• 대기
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• 제31권1호
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• pp.1-15
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• 2021

High-resolution wind resources maps (maps, here after) with spatial and temporal resolutions of 100 m and 3-hours, respectively, over South Korea have been produced and evaluated for the period from July 2016 to June 2017 using Korea Meteorological Administration (KMA) Post Processing (KMAPP). Evaluation of the 10 m- and 80 m-level wind speed in the new maps (KMAPP-Wind) and the 1.5 km-resolution KMA NWP model, Local Data Assimilation and Prediction System (LDAPS), shows that the new high-resolution maps improves of the LDAPS winds in estimating the 10m wind speed as the new data reduces the mean bias (MBE) and root-mean-square error (RMSE) by 33.3% and 14.3%, respectively. In particular, the result of evaluation of the wind at 80 m which is directly related with power turbine shows that the new maps has significantly smaller error compared to the LDAPS wind. Analyses of the new maps for the seasonal average, maximum wind speed, and the prevailing wind direction shows that the wind resources over South Korea are most abundant during winter, and that the prevailing wind direction is strongly affected by synoptic weather systems except over mountainous regions. Wind speed generally increases with altitude and the proximity to the coast. In conclusion, the evaluation results show that the new maps provides significantly more accurate wind speeds than the lower resolution NWP model output, especially over complex terrains, coastal areas, and the Jeju island where wind-energy resources are most abundant.