• 대한원격탐사학회지
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• 제38권5_1호
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• pp.471-484
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• 2022

본 연구는 전산유체역학 모델을 이용하여 기상청에서 운용하는 종관기상관측소(automated synoptic observing system, ASOS) 10개 지점을 대상으로 ASOS 주변 지형과 건물이 기온과 바람(풍속, 풍향) 관측 환경에 미치는 영향을 분석하였다. ASOS에서 최근 10년간 8월의 관측 자료를 기반으로 전산유체역학(computational fluid dynamics, CFD) 모델의 초기·경계 자료를 구축하였다. 실제 토지 피복을 고려한 경우와 모든 피복을 초지로 가정한 경우에 대해, 관측 고도에서 초기 기온 대비 기온 변화율을 비교함으로써 기온 관측 환경을 분석하였다. 기온 관측 환경은 관측 지점 주위의 토지 피복에 의한 영향을 많이 받았다. ASOS 주변에 지표면 온도가 높은 건물과 도로가 밀집한 경우에 기온 변화율이 크게 나타났다. 반면, 모든 토지 피복을 초지로 가정한 경우에는 초기 기온 대비 기온 변화율이 작았다. 실제 토지 피복을 고려하여 관측 고도의 유입류 대비 풍속 변화율과 풍향 변화를 비교함으로써 풍속과 풍향 관측 환경을 분석하였다. 풍속과 풍향은 ASOS 주변에 관측 고도보다 높거나 비슷한 높이의 지형과 건물 영향을 크게 받았으며, 원거리에 위치한 장애물에 의한 영향도 나타났다. 본 연구 결과는 종관기상관측소의 이전과 신설 단계에서 관측 환경 평가에 활용될 것이다.

• 농촌계획
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• 제3권2호
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• pp.102-111
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• 1997

For rational agricultural land use planning, it is quite necessary to get hold of land suitability precisely and to make decision on land use patterns accordingly. In the methodological viewpoint, objective and scientific evaluation techniques for land suitability classification should be supported for the systematic land use planning. As one of technical development approaches to rational land use planning, this study tried to frame a land suitability evaluation system for agricultural purposes. Evaluation unit is defined as a tract of land bounded by road, other land units and topographical features. And quantification theory was applied in the determination works of evaluation criteria. The administrative area of Namsa-myon(district), Yongin-si(city), Kyunggi-do(province) was selected for the case study. In order to check the feasibility of the evaluation system developed in the study, field check team, consisting of 2 government officers and 2 representative farmers, carried out evaluation works by observation on 148 sample land units, 10% of total 1,480 ones. Between estimated and observed results, there showed very good relationship of its multiple correlation coefficient, R=0.9467.

• 한국수자원학회논문집
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• 제45권8호
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• pp.805-814
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• 2012

대부분의 수문자료는 지상관측을 통해 얻어진다. 그러나 어떤 지역은 접근이 어렵거나 장기적인 관측에 어려움이 있기 때문에 지상관측을 대체하거나 보완할 새로운 방법이 요구된다. 시 공간적 한계를 극복할 수 있는 대안으로 미항공우주국 NASA에서 2002년 지구 중력장을 측정하는 GRACE(Gravity Recovery And Climate Experiment) 인공위성 자료가 존재한다. 본 연구에서는 GRACE Level-2 중력자료를 이용하여 공간평활화 반경별(0 km, 300 km, 500 km)로 한반도의 수자원변화량(GRACE-based TWSC)을 산정하였다. 산정된 결과의 타당성을 검증하기 위해, 지상 수문 관측자료를 이용한 수자원 변화량(land-based TWSC)과의 비교를 시도하였다. Land-based TWSC는 WAMIS의 강우량, 증발 산량 및 GLDAS의 유출량 자료를 이용해 계산하였다. GRACE-based TWSC와 land-based TWSC의 RMSE 검정 결과, 공간평활화 반경 500 km의 위성자료가 한반도에 가장 적합한 것으로 나타났다. 한반도의 월별 평균 TWSC는 0.986 cm/month로 나타났고, 이러한 큰 변화폭 때문에 안정적수자원 확보를 위한 대처 방안의 마련이 필요한 것으로 평가된다.

• 대기
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• 제28권4호
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• pp.427-441
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• 2018

This study examines the impact of the urban parameterization scheme and the land cover change on simulated near surface temperature using Unified Model (UM) over the Seoul metropolitan area. We perform four simulations by varying the land cover and the urban parameterization scheme, and then compare the model results with 46 AWS observation data from 2 to 9 August 2016. Four simulations were performed with different combination of two urban parameterization schemes and two land cover data. Two schemes are Best scheme and MORUSES (Met Office Reading Urban Surface Exchange Scheme) and two land cover data are IGBP (International Geosphere and Biosphere Programme) and EGIS (Environmental Geographic information service) land cover data. When land use data change from IGBP to EGIS, urban ratio over the study area increased by 15.9%. The results of the study showed that the higher change in urban fraction between IGBP and EGIS, the higher the improvement in temperature performance, and the higher the urban fraction, the higher the effect of improving temperature performance of the urban parameterization scheme. 1.5-m temperature increased rapidly during the early morning due to increase of sensible heat flux in EXP2 compared to CTL. The MORUSES with EGIS (EXP3) provided best agreement with observations and represents a reasonable option for simulating the near surface temperature of urban area.

• 대한원격탐사학회지
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• 제36권5_1호
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• pp.693-706
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• 2020

본 연구는 세계기상기구(World Meteorological Organization, WMO) 분류 지침에 따라 10지점의 종관기상관측소(Automated Synoptic Observing System, ASOS) 관측 환경을 5단계로 분류하였다. 장애물(지형, 건물 등)과 지표 피복 유형은 일조 시간, 기온, 지상 바람의 관측 환경을 평가하는 주요 요인이었다. 따라서, WMO 분류 지침에 따라 ASOS를 평가하기 위해서 지형, 건물, 토지 피복 유형에 대한 수치 지도를 사용했다. 일조 시간의 관측 환경은 일조 고도각이 낮은 일출과 일몰 시간대에 주변 건물 영향을 가장 많이 받았다. 기온 관측 환경은 태양 고도각뿐만 아니라 열/수원과 ASOS 사이의 거리를 기준으로 결정되었다. 본 연구에서 고려한 ASOS 주변에는 수원이 없었다. 일부 ASOS 근처에 있는 열원은 관찰 환경에 영향을 미칠만큼 크지 않았다. ASOS 주변의 거칠기 길이와 주변 건물과 ASOS 사이의 거리를 기반으로 지상 바람 관측 환경을 평가했다. 대부분의 ASOS는 주변보다 높은 고도에 놓여 있으며 ASOS 주변의 거칠기 길이는 최상의 수준을 위한 조건을 충족할 만큼 충분히 작았다.

• Asian Journal of Atmospheric Environment
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• 제10권1호
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• pp.42-50
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• 2016

This study presents a performance evaluation of four different land surface models (LSM) available in Weather Forecast Research (WRF). The research site was located in Haean Basin in South Korea. The basin is very unique by its geomorphology and topography. For a better representation of the complex terrain in the mesoscale model were used a high resolution topography data with a spatial resolution of 30 meters. Additionally, land-use layer was corrected by ground mapping data-sets. The observation equipments used in the study were an ultrasonic anemometer with a gas analyzer, an automatic weather station and a tethered balloon sonde. The model simulation covers a four-day period during autumn. The result shows significant impact of LSM on meteorological simulation. The best agreement between observation and simulation was found in the case of WRF with Noah LSM (WRF-Noah). The WRF with Rapid Update Cycle LSM (WRF-RUC) has a very good agreement with temperature profiles due to successfully predicted fog which appeared during measurements and affected the radiation budget at the basin floor. The WRF with Pleim and Xiu LSM (WRF-PX) and WRF with Thermal Diffusion LSM (WRF-TD) performed insufficiently for simulation of heat fluxes. Both overestimated the sensible and underestimated the latent heat fluxes during the daytime.

• 한국산림과학회지
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• 제94권5호통권162호
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• pp.307-312
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• 2005

This study aimed to develop an agroforestry technology through the participation of local people. The study was conducted in the Makiling Forest Reserve (MFR) of the University of the Philippines Los Banos (UPLB). Diagnosis and Design (D&D) methodology was employed to plan and implement effective research and development projects. Diagnostic interview and direct field observation were conducted to identify the significance of the land-use system and to understand how the system works. As a result of the diagnostic interview and direct field observation in San Vicente, old coconut-based land-use system is shifting to mahogany-based agroforestry system. One of the reasons is due to the very complicated socio-economic and silvicultural factors including lower price of coconut farm products, industry development, lack of labor force, and pest and diseases. Change in land use brought about by the shifting to mahogany-based farming system is slow. Also, mahogany trees are observed to be not well-maintained. However, mahogany based land use system gives farmers' a bigger income as well as environmental benefit. Farmer's cooperation and local forestry policy for CDM were proposed to encourage people's self-restoration effort.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.817-819
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• 2003

Land degradation is a crucial issue in mountainous areas and is manifested in a variety of processes. For its assessment, application of existing models is not straightforward. In addition, data availability might be a problem. In this paper, a procedure for land degradation assessment is described, which follows a four-step approach: (1) detection, inventory and mapping of land degradation features, (2) assessing the magnitude of soil loss, (3) study of causal factors, and (4) hazard assessment by applying decision trees. This approach is applied to a case study in the Middle Mountain region of Nepal. The study shows that individual mass movement features such as debris slides and slumps can be easily mapped by photo interpretation techniques. Application of soil loss estimation models helps get insight on the magnitude of soil losses. In the study area soil losses are higher in rainfed crops on sloping terraces (highest soil loss is 32 tons/ha/yr) and minimal under dense forest and in irrigated rice fields (less than 1 ton/ha/yr). However there is high frequency of slope failures in the form of slumps in the rice fields. Debris slides are more common on south-facing slopes under rainfed agriculture or in degraded forest. Field evidences and analysis of causal factors for land degradation helps in building decision trees, the use of which for modelling land degradation has the advantage that attributes can be ranked and tested according to their importance. In addition, decision trees are simple to construct, easy to implement and very flexible in adaptations.

• 한국지리정보학회지
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• 제24권4호
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• pp.65-81
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• 2021

본 연구에서는 LIS(Land Information System)를 기반으로 구축된 K-LIS(Korea-Land surface Information System)의 KLDAS(Korea Land Data Assimilation System)를 사용하여 남한 전역을 대상으로 토양수분 및 증발산량을 산출하였다. K-LIS를 구동하고, KLDAS를 구축하기 위해 사용된 수문기상 데이터 세트는 MERRA-2(Modern-Era Retrospective analysis for Research and Applications, version 2), GDAS(Global Data Assimilation System) 그리고 종관기상관측(ASOS, Automated Synoptic Observing System) 자료이다. ASOS는 지점 자료이므로 KLDAS에 적용하기 위해 0.125°의 공간해상도를 가진 격자형 자료로 변환하였다(ASOS-S, ASOS-Spatial). KLDAS에 적용된 수문기상 데이터 세트를 지상관측자료(ASOS)와 비교한 결과 ASOS-S, MERRA-2, GDAS의 R² 평균은 각각 온도(0.994, 0.967, 0.975), 기압(0.995, 0.940, 0.942), 습도(0.993, 0.895, 0.915), 강우량(0.897, 0.682, 0.695)으로 분석되었다. 또한, 토양수분의 R² 평균은 ASOS-S(0.493), MERRA-2(0.56), GDAS(0.488)이며, 증발산량의 R² 평균은 ASOS-S(0.473), MERRA-2(0.43), GDAS(0.615)로 분석되었다. MERRA-2, GDAS는 다수의 위성 및 지상관측자료를 활용하여 품질관리된 데이터 세트인 반면, ASOS-S는 103개 지점의 관측자료를 사용한 격자 자료이다. 따라서, 관측자료간 거리 차이로 인한 오차가 발생하여 정확도가 낮아진 것으로 판단되며, 향후 ASOS보다 많은 지점의 관측자료를 확보하여 적용한다면 격자화로 인한 오차가 줄어들어 정확도가 높아질 것으로 판단된다.

• 대한원격탐사학회지
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• 제24권1호
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• pp.79-89
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• 2008

Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series contaminated by noises resulted from mechanical problems or sensing environmental condition. There is also a high likelihood that during the data acquisition periods the target site corresponding to any given pixel may be covered by fog or cloud, thereby resulting in bad or missing observation. The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. A feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. The experimental results of this simulation study show the potentiality of the proposed system to reconstruct the image series observed by imperfect sensing technology from the environment which are frequently influenced by bad weather. This study provides fundamental information on the elements of the proposed system for right usage in application.