• Title/Summary/Keyword: 해륙풍

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부지특성 실시간피폭해석을 위한 영광부지 확산실험

  • 한문희;김은한;서경석;황원태;정성태
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.11b
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    • pp.605-610
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    • 1996
  • 영광 원전부지에서 미시규모 기상현상 파악, 대기확산 특성연구, 실시간 수치모델의 검증을 목적으로 국내에서 처음으로 대규모 학술목적의 야외확산실증을 수행하였다. 1996년 5월 29일과 30일 양일간 두차례 추적자방출 및 포집을 실시하였다. SODAR를 이용한 고공기상측정 결과 해륙풍현상을 발견할 수 있었으며, 추적자 농도분포 분석결과 최대 농도값이 나타나는 방향이 거리에 따라 고도별 풍향변화에 영향을 받고 있음을 발견하였다.

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Evaluation of Wind Turbine Efficiency of Haengwon Wind Farm in Jeju Island based on Korean Wind Map (풍력-기상자원지도에 기반한 제주 행원 풍력발전단지 효율성 평가)

  • Byon, Jae-Young;Kang, Mi-Sun;Jung, Hyun-Sook
    • Journal of the Korean earth science society
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    • v.34 no.7
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    • pp.633-644
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    • 2013
  • This study evaluates wind farm efficiency at Haengwon in Jeju Island. The actual energy production at Haengwon wind farm is compared with the estimated energy production based on Korean wind map which is developed at the National Institute of Meteorological Research/KMA. The validation of wind map at Gujwa located near the Haengwon wind farm shows that the wind speed is overestimated. The diurnal variation of wind speed shows a maximum value in the afternoon due to the effect of sea-land breeze. The ratio of the actual energy production at Haengwon wind farm and the estimated energy production based on the Korean wind map is 24.8%, while the distribution of energy frequency is similar each other. The difference of energy production is caused by mechanical error of the turbine and the overestimation of the simulated wind map. This study will contribute to the repowering of turbines for improving the efficiency of wind farm in the future.

Characterization Study of submicron aerosols in Seoul Metropolitan area (미세먼지 분야 측정분석 자료의 해석)

  • 최금찬;김종호;김태식;강공언;강창희;김신도
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.05b
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    • pp.191-192
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    • 2003
  • 본 연구는 서울을 중심으로 한 수도권지역에서 해륙풍과 주풍 및 계절풍을 고려하여 대기오염 측정소가 있는 지점을 중심으로 강화도 석모리, 인천 용현동, 서울 불광동, 정동, 전농동, 방이동지점과 양평 국수리지점을 측정장소로 선정하여 미세먼지 분야의 측정자료를 해석한 것으로 1차 측정은 2002년 8월 5일 ∼8월 22일, 2차 측정은 2002년 10월 10일 ∼ 10월 18일까지 실시 되었으며, 3차 측정은 2003년 1월 10일∼l월 24일까지 겨울 집중 측정이 실시되었으며, 측정결과를 해석중에 있다. 또, 4차 측정은 2003년6월에 실시될 예정이다. (중략)

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A Study on Wind Environment Analysis for the Evaluation of Wind Resources (풍력자원 평가를 위한 바람환경 분석 연구)

  • 김현구;최재우;이화운;정우식
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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    • pp.57-58
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    • 2003
  • 산업자원부에서 $\ulcorner$대체에너지 개발 보급 3개년 계획(2002년 4월)$\lrcorner$ $\ulcorner$대체에너지이용 발전전력의 기준 가격 지침(2002년 5월)$\lrcorner$을 시행하여 대체에너지 생산 전력을 보상.지원함에 따라 국내에서도 본격적인 대체에너지 시대가 시작되었다. 특히 최근에는 지방자치단체를 중심으로 풍력발전사업이 활발하게 진행되고 있다. 일반적으로 바람은 지형조건과 기후특성에 영향을 받는데, 특히 우리나라와 같이 국토의 70%가 산지이며 사계절이 분명하고 반도 기상특성으로 인해 계절풍과 해륙풍이 존재하는 조건에서의 국지 바람장은 예측하기 힘든 매우 복잡한 양상을 보인다. (중략)

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The simulation of the land and sea breeze over Pusan District (부산지방 해륙풍에 관한 Simulation)

  • Jang, Kwang-Mee;Moon, Sung-Euii;Jo, Byeong-Gil
    • Journal of Environmental Science International
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    • v.2 no.1
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    • pp.9.1-16
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    • 1993
  • Land-sea breeze over Pusan district is investigated by performing the numerical simplations with orography on a two-dimensional mesoscale model. The model results show that the sea breeze strengthens and begins to move inland at 1000LST. The strongest sea breeze is occurred at 1500LST and begins to weak at 1700 LST. After 2400LST a weaker land breeze compared with the sea breeze develops. The observed datas and the simulated land-sea breeze is not coinsidented exactly at the event day(1983. 9. 19.) . But simulated land-sea breeze is corresponded of synoptic characteris- tics that was studied previously.

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A Three Dimensional Numerical Simulation of the Land and Sea breeze over Pusan Coastal Area, Korea. (부산 연안에서의 3차원 해륙풍 수치 모의)

  • 문승의;김유근
    • Journal of Environmental Science International
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    • v.2 no.2
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    • pp.103-113
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    • 1993
  • The land and sea breeze over the Pusan coastal area is studied by three dimensional mesoscale numerical model. According to the results of the simulation experiments, both Pusan areas and Kimhae areas, the sea breeze began at 0800LST and the strongest at 1500LST and then at 1800LST. After midnight, the sea breeze changed about the land breeze and become weaker than that of the sea breeze in the daytime. Comparisons between calculations and observations showed that the characteristics of diurnal variation and v-component of the wind velocity relatively is similar to the Pusan areas. On the Kimhae areas, however, observations showed time lag which compared to the results of simulation experiments in the velocity of sea breeze and diurnal variation. From the above results, comparisons between calculations and observations is much more similar to the coastal areas than on the inland area.

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The simulation of the land and sea breeze over Pusan District (부산지방 해륙풍에 관한 Simulation)

  • Jang, Kwang-Mee;Moon, Sung-Euii;Jo, Byeong-Gil
    • Journal of Environmental Science International
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    • v.2 no.1
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    • pp.9-9
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    • 1993
  • Land-sea breeze over Pusan district is investigated by performing the numerical simplations with orography on a two-dimensional mesoscale model. The model results show that the sea breeze strengthens and begins to move inland at 1000LST. The strongest sea breeze is occurred at 1500LST and begins to weak at 1700 LST. After 2400LST a weaker land breeze compared with the sea breeze develops. The observed datas and the simulated land-sea breeze is not coinsidented exactly at the event day(1983. 9. 19.) . But simulated land-sea breeze is corresponded of synoptic characteris- tics that was studied previously.

An Analysis on the Characteristics of Wind Distribution in the Coast of Busan Using AWS Data (AWS 데이터를 이용한 부산 해안의 바람분포 특성 해석)

  • Seol, Dong-Il
    • Journal of Navigation and Port Research
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    • v.33 no.8
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    • pp.549-554
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    • 2009
  • Wind velocity and wind direction are very important in the viewpoint of ship's safety and stability of port structure. The characteristics of wind distribution in the coast of Busan are analyzed for 10 years from 1997 to 2006 using AWS(Automatic Weather System) data. The characteristics of wind distribution of Miryang, is not affected by the land and sea breeze are also examined to understand clearly the characteristics of wind distribution in the coast of Busan. The mean wind velocity in the coast of Busan is stronger than that of Miryang. The mean wind velocitie at Youngdo and Gadukdo stations of Busan are stronger about 2.0 times than those at IlGwang, Haeundae and Daeyeon stations. The correlation a states show that the variation tendencies of monthly mean wind velocitie in the coast of Busan are very similar. The maximum monthly mean velocitie in the coast of Busan are recorded in September. This re ult is closely related to the influence of typhoon. The maximum instantaneous wind velocitie are also strong at Youngdo and Gadukdo stations and the peaks of maximum instantaneous wind $velocit^9$ are observed mainly from August to September. In the coast of Busan, the SW'ly-NNE'ly wind are prevailing in the winter and the SW'ly and NE'ly wind are predomi snt in the spring. w that the vs of wind direction in the summer and athumn are similar with those in the spring and winter, respectively.

Spatial Distribution Patterns of Winter Daytime and Nighttime Apparent Temperature in South Korea (남한의 겨울철 주.야간 체감 온도의 공간적 분포 특성)

  • 최광용;강철성
    • Journal of the Korean Geographical Society
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    • v.37 no.3
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    • pp.237-246
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    • 2002
  • This study classified wintertime bioclimatic zones of South Korea based on daytime and nighttime distribution of wind chill index calculated from climate data during the coldest month for latest 30 years (1971- 2000). The results show that the winter daytime and nighttime wind chill index were influenced by climatic factors such as elevation, land-sea breeze, topology, and sea currents etc. as well as climatic components such as temperature, wind speed, and sunshine, so that South Korea was divided into five bioclimatic zones; Cool day- cold night zone, Keen day- Cold night zone, Keen day-Very Cold night zone, Cold day and night zone, and Cold day-Extremely Cold night zone. Especially, coasts and island areas, except for south coast of Korea, shows Keen bioclimatic response during daytime and Very Cold bioclimatic response during nighttime. This indicates that coasts and island areas, except for south coast of Korea are affected by moonson and land-sea breeze. In addition, highly elevated Daegwallyeong shows Cold bioclimatic response during daytime and Extremely Cold during nighttime due to the influence of adiabatic temperature lapse rate and monsoon. This study offers basic data necessary to make decisions concerning insulation such as clothing and architect etc. by classifying winter bioclimatic zones of South Korea based on various daytime and nighttime distribution of wind chill.

Vertical Measurement and Analysis of Meteorological Factors Over Boseong Region Using Meteorological Drones (기상드론을 이용한 보성 지역 기상 인자의 연직 측정 및 분석)

  • Chong, Jihyo;Shin, Seungsook;Hwang, Sung Eun;Lee, Seungho;Lee, Seung-Hyeop;Kim, Baek-Jo;Kim, Seungbum
    • Journal of the Korean earth science society
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    • v.41 no.6
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    • pp.575-587
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    • 2020
  • Meteorological phenomena are observed by the Korea Meteorological Administration in a variety of ways (e.g., surface, upper-air, marine, ocean, and aviation). However, there are limits to the meteorological observation of the planetary boundary layer (PBL) that greatly affects human life. In particular, observations using a sonde or aircraft require significant observational costs in economic terms. Therefore, the goal of this study was to measure and analyze the meteorological factors of the vertical distribution of the see-land breeze among local meteorological phenomena using meteorological drones. To investigate the spatial distribution of the see-land breeze, a same integrated meteorological sensor was mounted on each drone at three different points (seaside, bottom of mountain, and mountainside), including the Boseong tall tower (BTT) at the Boseong Standard Weather Observatory (BSWO) in the Boseong region. Vertical profile observations for air temperature, relative humidity, wind direction, wind speed, and air pressure were conducted up to 400 m every 30 minutes from 1100 LST to 1800 LST on August 4, 2018. The spatial characteristics of meteorological phenomena for temperature, relative humidity, and atmospheric pressure were not shown at the four points. Strong winds (~8 m s-1) were observed from the midpoint (~100 m) at strong solar radiation hour, and in the afternoon the wind direction changed from the upper layer at the inland area to the west wind. It is expected that the analysis results of the lower atmospheric layer observed using the meteorological drone may help to improve the weather forecast more accurately.