• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2017년도 추계 학술발표초록집
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• pp.36-37
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• 2017

• 한국지구과학회지
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• 제38권7호
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• pp.522-534
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• 2017

이 연구의 목적은 강남 선정릉지역에서 전산유체역학모델(CFD)을 사용하여 도시지역의 흐름 및 열 환경 모의를 검증하는 것이고, CFD 모델의 모의결과와 선정릉 지역의 관측 자료와 비교하는 것이다. CFD 모델은 국립기상과학원과 서울대가 공동으로 연구 개발된 모델이다. CFD_NIMR_SNU 모델은 기상청 현업 모델인 국지예보모델(LDAPS)의 바람성분과 온도성분을 초기 및 경계조건으로 적용되었고 수목효과와 지표 온도를 고려하여 2015년 8월 4일에서 6일까지 강남 선정릉 지역을 대상으로 수치실험을 진행하였다. 선정릉지역에서 수목효과 적용 전후의 풍속을 비교하였을 때 평균 제곱근 오차(RMSE)는 각각 1.06, $0.62m\;s^{-1}$로 나타났고 수목효과 적용으로 풍속 모의정확도가 향상되었다. 기온은 LDAPS 과소 모의하는 경향을 나타내고 CFD_NIMR_SNU 모델에 의해 향상된 것을 확인하였다. CFD_NIMR_SNU 모델을 이용하여 복잡한 도시지역의 흐름과 열 환경을 자세하고 정밀한 분석이 가능하며, 도시 환경 및 계획에 대한 정보를 제공 할 수 있을 것이다.

• 대한원격탐사학회지
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• 제34권2_1호
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• pp.167-178
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• 2018

도심녹지는 도심 주변의 높은 기온을 낮춰 주는 중요한 역할을 한다. 도심녹지의 냉각효과는 녹지내부 뿐만 아니라 주변 도로와 빌딩 지역에도 영향을 준다. 도심녹지가 주변에 미치는 영향을 분석하기 위해 2013년부터 2015년까지 관측된 Landsat 8 위성자료를 이용하여 서울 선정릉 주변의 지표면온도를 산출하였다. 선정릉 주변의 지표면온도 분포를 분석한 결과, 도심녹지의 냉각효과는 녹지를 중심으로 여러 방향에서 나타나는 것을 확인하였다. 도심녹지의 냉각효과에 미치는 토지피복의 영향을 살펴보기 위하여 주거지역과 상업지역에 대해 냉각효과를 분석한 결과 주거지역의 냉각효과 범위가 100~250 m로 나타났고, 평균 $2.3^{\circ}C$의 냉각효과를 보였다. 반면, 상업지역의 냉각효과 범위는 0~200 m 였고, 평균 약 $0.3^{\circ}C$의 냉각효과를 보였다. 이러한 분석 결과를 통해 도심녹지의 냉각효과는 상업지역보다 주거지역에서 강도와 범위가 큼을 알 수 있었다.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2019년도 하계 학술발표초록집
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• pp.210-211
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• 2019

• Wind and Structures
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• 제9권1호
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• pp.23-35
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• 2006

The effect of buildings on flow in urban canopy is one of the most important problems in local/micro-scale meteorology. A large eddy simulation model is used to simulate the flow structure in an urban neighborhood and the bulk effect of the buildings on surrounding flows is analyzed. The results demonstrate that: (a) The inflow conditions affect the detailed flow characteristics much in the building group, including: the distortion or disappearance of the wake vortexes, the change of funneling effect area and the change of location, size of the static-wind area. (b) The bulk effect of the buildings leads to a loss of wind speed in the low layer where height is less than four times of the average building height, and this loss effect changes little when the inflow direction changes. (c) In the bulk effect to environmental fields, the change of inflow direction affects the vertical distribution of turbulence greatly. The peak value of the turbulence energy appears at the height of the average building height. The attribution of fluctuations of different components to turbulence changes greatly at different height levels, in the low levels the horizontal speed fluctuation attribute mostly, while the vertical speed fluctuation does in high levels.

• 대기
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• 제26권3호
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• pp.413-421
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• 2016

Climate Analysis Seoul (CAS) which provides gridded data relevant for thermal assessment was applied to one of the urban green areas, the Seonjeongneung, in Seoul, Korea. The thermal environment in the Seonjeongneung was evaluated from the CAS simulation for the five heat-wave issued cases during the last five years (2011~2015). The CAS has been improved continuously since it was developed. An updated version with a higher resolution of the CAS simulation domain and an addition of the vegetation information was used in this study. The influence of vegetation in the Seonjeongneung is estimated through the amount of the cold air generation ($Q_{ca}$) and air temperature deviation at each grid points, which are calculated by incorporating Geographic Information System (GIS) analysis on the simulation domain and meteorological analysis with the METeorology and atmospheric PHOtochemistry mesoscale MODel (MetPhoMod) in the CAS. The average amount of the cold air generation ($Q_{ca}$) at the Seonjeongneung is about $25.5m^3m^{-2}h^{-1}$ for the whole cases, and this value is similar to the ones in a forest or a well-wooded region. The average value of the total air temperature deviation (TD) is $-2.54^{\circ}C$ at the Seonjeongneung for the five cases. However, this cooling effect of the urban green area disappeared when the region is replaced by high-rise buildings in the CAS simulation. The $Q_{ca}$ drastically decreases to about $1.1m^3m^{-2}h^{-1}$ and the average TD shows an increase of $1.14^{\circ}C$ for the same events. This result shows that the vegetation in the Seonjeongneung supposes to keep down temperature during the heat-wave issued day and the average cooling effect of the green region is $3.68^{\circ}C$ quantitatively from the TD difference of the two simulations. The cooling effect represented with the TD difference is larger than $0.3^{\circ}C$ within 200 m distance from the boundary of the Seonjeongneung. Further improvements of the thermodynamical and advection processes above the model surface are required to consider more accurate assessment of the cooling effect for the urban green area.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2005년도 추계 학술발표논문집
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• pp.212-215
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• 2005

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2002년도 추계 학술발표논문집
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• pp.81-84
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• 2002

우리나라를 포함한 동아시아 지역의 기온상승, 특히 일최저기온 상승은 상당부분 도시화에 기인한 것으로 보고되었다(Hulme et al., 1994). 따라서 도시화 영향을 효과적으로 제거하여야 한반도에서 진행되는 온난화의 경향을 파악할 수 있으며 궁극적으로 장기 기후변화에 대한 예측과 대응이 가능하다 할 것이다(백과 권, 1994).(중략)

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2012년도 학술발표논문집
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• pp.84-87
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• 2012

• 한국환경과학회지
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• 제19권12호
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• pp.1361-1374
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• 2010

The impact of urbanization on local meteorology (e.g., surface temperature, PBL height, wind speed, etc.) in the Greater Seoul Area (GSA) was quantitatively evaluated based on a numerical modeling approach during a 1-month period of 2001 (9 Sep. through 8 Oct. 2001). The analysis was carried out by two sets of simulation scenarios: (1) with the global land use and topographic data from the U.S. Geological Survey (USGS) in 1990s (i.e., LU-USGS case) and (2) with the land use data from the Environmental Geographic Information System (EGIS) along with the 3 sec elevation data from the Shuttle Radar Topography Mission (SRTM) in 2000s (i.e., LU-EGIS case). The extension of urban areas in the GSA (especially, the southern parts of Seoul) accounted for 1.8% in the LU-USGS case and 6.2% in the LU-EGIS case. For the simulations, the surface temperature and PBL height due to urbanization in the LU-EGIS case was higher (the differences of up to $0.1^{\circ}C$ and 36 m, respectively) than those in the LU-USGS case, whereas the wind speed (up to 0.3 $ms^{-1}$) in the former was lower than that in the latter at 1500 LST. The increase in surface temperature due to urbanization in the GSA (especially, the southern parts of Seoul) was led to the strong convergence of air masses, causing the early sea breeze and its rapid propagation to inland locations. In addition, the vertical mixing motion in the extended urban areas for the LU-EGIS case was predicted to be stronger than that for the LU-USGS case and vice versa for the original urban areas.