• Journal of Energy Engineering
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• v.9 no.1
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• pp.76-81
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• 2000

풍속자료의 측정이 예기치 못한 원인으로 실패하는 일이 종종발생한다. 풍속자료의 해석을 위해서는 이렇게 망실된 풍속자료의 복원이 필요하다. 이 경우 유용한 측정자료를 바탕으로 적절한 내삽법(혹은 외삽법)으로 망실된 풍속자료를 복원하는 것이 일반적인 방법이다. 이때 해당지역의 지면조도값이 필요하고, 일반적으로는 상수로 추정된 지면조도값을 사용한다. 이에 반하여 , 본 연구에서는 방위별로 변하는 지면조도의 개념을 새로이 제안하였다. 누락 풍속자료의 복원사례에 적용하여 제안된 방법의 신뢰도를 검토한 바 기존의 지면조도를 일정 값으로 하는 것보다 제안된 방법이 풍속자료의 보정 및 복원을 보다 더 정확하게 할 수있음을 확인하였다. 따라서, 방위별 장애물의 편차가 크고 , 계절별 풍향의 변화가 심할 경우에는 제안된 지면조도의 개념은 유용한 접근법이 될 것으로 기대한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.12
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• pp.963-969
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• 2021

The wind data measured from local meteorological masts is used to evaluate wind speed distribution and energy production in the specified site for wind farm However, wind data measured from meteorological masts often contain missing information or insufficient desired height or data length, making it difficult to perform wind turbine control and performance simulation. Therefore, long-term continuous wind data is very important to assess the annual energy production and the capacity factor for wind turbines or wind farms. In addition, if seasonal influences are distinct, such as on the Korean Peninsula, wind data with seasonal characteristics should be considered. This study presents methodologies for generating synthetic wind that take into account fluctuations in both wind speed and direction using the hidden Markov model, which is a statistical method. The wind data for statistical processing are measured at Maldo island in the Kokunnsan-gundo, Jeonbuk Province using the Automatic Weather System (AWS) of the Korea Meteorological Administration. The synthetic wind generated using the hidden Markov model will be validated by comparing statistical variables, wind energy density, seasonal mean speed, and prevailing wind direction with measurement data.

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.129-137
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• 2003

최근 30년간(1071-2000) 북동기류 유입시 목포지방 최고기온의 예측을 위하여 북동기류 유입시 통계적 특성을 분석하였다. 분석 내용은 최대풍향 발생빈도, 최고기온 및 풍속, 풍속별 최고기온, 전일 최고기온과 교차분석, 풍속별 최고기온 분석 및 전운량(하늘상태) 분석 등이다. 분석결과 계절에 따라 변화는 있으나 북동기류의 유입으로 인한 기온의 변화 경향에 몇 가지 특성을 발견할 수 있었다.

• KIEAE Journal
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• v.3 no.1
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• pp.5-12
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• 2003

Using the wind, we can get a thermal comfort in summer. In winter we must shut out the wind. To achieve sustainable environmental building design, especially wind data is very important. The wind direction and wind velocity of 32 cities were analyzed to suggest the wind map of Korea. The weather data which was used in this paper was from National Weather Service(19711.1~2000.12.31). The results of this study are 1) The monthly wind velocity of Seoul is 1.1m/s-3.8m/s. 2) The maximum wind velocity could be estimated from the annual average wind velocity. The regression curve is Y(The maximum wind velocity)=6.369732 X(annual average wind velocity) + 6.391668 (P< 9.66E-12). 3) The wind velocity at the inland area which is far from 25km sea side is smaller than coastal area. The distance from the sea is major index of wind velocity. 4) The monthly wind direction was compared inland area with coastal area. 5) The uniform-velocity line on the Korean map was obtained.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.131-132
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• 2003

확산 모델의 선정은 도시, 임해 산악 지역, 임해 평야지역, 계곡지역, 분지지역 등 각 지형에 대해 계절별, 오염물질별, 평균화시간별로 적절성이 있어 보이는 여러 경쟁모델들을 적용해 보고 그 중에서 실측결과에 가장 근접하는 계산치를 제공하는 모델을 선정해야 한다. 특히 Dioxin등 독성물질들에 대해서는 대부분의 해석학적 확산모델들을 적용하기 곤란한 저풍속, 풍향요동(Meandering) 조건시 등에도 단시간 평균농도 계산치의 정확도가 높은 모델들을 선정하는 것이 중요하다(박옥현 등, 1999). (중략)

• Journal of Korean Society of Environmental Engineers
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• v.31 no.7
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• pp.521-530
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• 2009

This study has been made to execute a research in order to lead the improvement of indoor air quality, examining the indoor ventilation characteristics by using a numerical analysis method. To this end an extensive parametric investigation are made according to various external flow variables such as main wind direction and wind speed by season, building layout design, and location of ventilators, etc. in Daedeok Techno Valley, one of large-scaled apartment in Daejeon. It is observed there was a significant difference of main wind direction between summer and winter. The main wind direction in summer was a south wind, and on the contrary the direction in winter is northnorthwest, which is similar to the average main wind direction for 10 years. One of the important calculation results is that the change of wind direction causes a significant effect on the apartment ventilation by the change of pressure difference around each complex of apartment. In case of favorable area of ventilation, the indoor ventilation rate can meet 0.7 ACH from the standard value only with natural ventilation. On the contrary, in other area the value was much lower than the standard value. If the calculation result applies to the design of layout apartment or placement of ventilators, it will be greatly helpful to the energy saving because it can be parallel with the natural ventilation to help securing ventilation rate, not much depending on the mechanical ventilation.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.188.2-188.2
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• 2010

북한은 자급자족의 형태로 지하자원과 수력을 이용하여 에너지원으로 사용하고 수입연료를 자제하는 실정이다. 하지만 기존의 발전 설비들의 노후화와 지하자원의 확보의 어려움이 증가 되어 신재생에너지의 개발을 확대하고 있다. 이에 우리나라에서는 남북의 기술교류 확대 및 미래 에너지 자원의 확보를 위하여 북한 자원자원에 대한 연구가 이뤄지고 있다. 기존의 연구에서는 북한지역의 관측값을 활용하거나 저해상도의 바람지도들이 작성되었다. 북한 지역의 바람의 분포를 세밀히 파악하기 위하여 기존의 바람지도 보다 상세한 풍력-기상자원지도가 필요하기 때문에 연구를 진행하였다. 북한의 풍력-기상자원지도를 개발하기 위해 미국 NCAR에서 개발한 중규모 모형인 WRF(Weather Research & Forcasting)을 활용하였다. 좋은 풍력자원을 갖춘 장소에 풍력 단지를 조성하기 위해서는 고해상도의 기상자원지도를 이용해서 파악하는 것이 필요하므로 해상도를 1km으로 설정하여 수행되었다. 본 연구의 결과로 지상 80 m에서의 1km 해상도를 갖는 풍력-기상자원지도를 작성하였다. 개발된 풍력-기상자원지도의 검증을 위해서 우리나라에서 확보가 가능한 북한 27개 지점의 지상 10 m 바람자료들을 활용하였다. 풍속에 대한 검증은 Bias와 RMSE을 이용하였으며, 풍향의 검증은 MAE을 활용하였다. 연 평균의 북한의 풍력-기상자원지도를 보면, 북한의 산맥을 중심으로 다른 지역보다 높은 풍속 분포를 보이고 있으며, 황해도를 포함한 북한의 서해안지역에서 비교적 높은 풍속의 분포를 나타내고 있다. 계절별로 살펴보면 봄철과 겨울철에 여름과 가을철보다 높은 풍력자원이 나타나며, 여름철이 가장 낮은 풍력자원을 갖는 것으로 분석되었다.

• Proceedings of KOSOMES biannual meeting
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• 2003.11a
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• pp.163-166
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• 2003

The seasonal mean wind direction and wind speed in a greater coasting area are investigated using the ECMWF(European Centre for Medium-Range Weather Forecasts) data for 11 years from 1985 to 1995. In winter, the main wind direction in Korea and vicinity, Taiwan and vicinity, and the North Pacific Ocean of middle latitudes is a northwesterly wind, northeasterly wind, and westerly wind respectively. The wind speed is strongest in the East China Sea, the South China Sea, and the North Pacific Ocean of low latitudes(Beaufort wind scale 5-6). A distribution pattern of wind direction in spring and fall is similar to that in winter. Seasonal mean wind speed is strongest in winter and the next is fall. The wind speed in summer is generally weak. However, that in the Indochina and vicinity is strong by the influence of Asian monsoon.

• Journal of the Korean earth science society
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• v.23 no.5
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• pp.436-441
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• 2002

This study is concerned with the sea breeze criterion and climatological characteristics of the short-time sea breeze in the Gangneung coastal area. The sea breeze criteria in this area are listed here. First, the fact of the sea breeze blowing was considered to be a change of wind direction from land to sea and vice versa without terrain effect like easterly wind. Second, the sea breeze of which continuous time 1-hour or 2-hour was selected. Then the climatological characteristics of the short-time sea breeze were analyzed using the meterological data from a 10-year(1988${\sim}$1997) period. The climatological characteristics which were analyzed for the short-time sea breeze consist of the frequency, onset time, wind direction speed and temperature. Finally, this study will be helpful in meteorological application through the climatological characteristics of sea breeze along the east coast as well as Gangneung Airport.

• Ecology and Resilient Infrastructure
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• v.9 no.1
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• pp.36-58
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• 2022

In this study, the weather conditions corresponding to the increase in the environmental concentration of fine dust (PM₁₀) and ultrafine dust (PM_2.5) from 2001 to 2019 in Jeju and Seogwipo cities were analyzed. The increase in the levels of PM₁₀ and PM_2.5 was observed in the order: spring > winter > autumn > summer. In both cities, PM₁₀ and PM_2.5 levels increased more frequently during the day in spring and summer and at night in autumn and winter, with PM_2.5 showing a greater increase in concentration than PM₁₀. The air temperature and wind speed corresponding with increased levels of PM₁₀ were higher than their respective seasonal averages in spring and winter, but lower in summer and autumn. Relative humidity was lower than the seasonal average during all seasons. The air temperature variation corresponding with increased levels of PM_2.5 showed the same seasonal trend as that observed for PM₁₀. The relative humidity was higher than the respective seasonal averages in spring and summer, and lower in winter. The wind speed was lower than the seasonal average in both the cities. When the PM₁₀ and PM_2.5 levels increased, the wind direction was from the north and the west during the day and varied according to the season at night. The rate of the increase in the PM₁₀ concentration was the highest in both cities at the wind speed of 1.6 - 3.4 ms^-1 during the day and night except during night in the summer. The highest concentration of PM_2.5 was observed with the wind speed range of 1.6 - 3.4 ms^-1 in Jeju, and 0.3 - 1.6 ms^-1 in Seogwipo. The results of this study applied to urban and landscape planning will aid in the formulation of strategies to reduce the adverse effects of fine particular matter.