• 제목/요약/키워드: meteorological condition

검색결과 488건 처리시간 0.023초

몬테칼로 방법을 사용할 사고후 영향 평가모델 (An Off-Site Consequence Modeling for Accident Using Monte Carlo Method)

  • Chang Sun Kang;Sae Yul Lee
    • Nuclear Engineering and Technology
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    • 제16권3호
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    • pp.136-140
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    • 1984
  • 원자력발전소 사고 후 그 위험도를 평가하는 새로운 방법으로 몬테칼로 방법을 제시한다. 본 연구에서는 발전소 주위의 주민에게 주는 방사선의 영향을 평가하기 위하여 공기중의 확산계산에 부지에서 측정한 기상조건을 직접 사용하고 있다. 사고가 일어나는 순간에서의 화산조건은 주어진 기상자료로부터 분석된 pdf에 의하여 결정되고 그이후의 조건(풍향, 풍속, 안정도)은 마르코프 조건을 만족시킨다고 가정하였다. 예제로써 KNU-1의 냉각재 상실사고를 분석한 절과 50마일내의 주민이 받는 선량은 50퍼센트 신뢰도를 갖고 200 man-Sv이다.

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기상환경에 따른 자동차 부품 도장의 불량률 예측 (Prediction of Defect Rate Caused by Meteorological Factors in Automotive Parts Painting)

  • 박상현;문준;황재정
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.290-291
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    • 2021
  • 플라스틱 소재 자동차 부품의 도장 공정에서 불량은 다양한 원인과 현상으로 기인하는데, 온도, 습도, 미세먼지 등 기상환경 조건의 변화에 따라 불량률이 변화하는 연관성을 분석하였다. 실제 도장업체에서 1년 동안 수집한 종류별, 원인별 불량률과 기상환경의 상관성을 머신러닝 기법에 의해 학습하고 시험하여 특정의 기상환경에서 불량률을 예측하였다. 그 결과 실먼지로 인한 불량은 98%, 흐름에 대한 불량은 90%의 불량을 예측하여 모델의 성능을 입증하였다.

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사이트 특성 하중해석을 위한 기상탑 바람 데이터 분석 및 풍력터빈 작용 하중 비교 평가 (Load Comparison Evaluation and Meteorological Mast Wind Data Analysis for Wind Turbine Site-specific Load Analysis)

  • 김성건;김범석
    • 풍력에너지저널
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    • 제13권3호
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    • pp.43-52
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    • 2022
  • Although wind turbines have obtained type certification according to international standards and are released to the market, they cannot be regarded as design evaluations that consider site characteristics. Therefore, it is necessary to study the site-specific load analysis method based on the meteorological data measured at the candidate site. In this study, site-specific load calculation was performed based on the meteorological data from the Jeju Haengwon mast. Analysis results were compared and analyzed with the results calculated by IEC design Class (IIA). For the fatigue loads at the blade root and tower base, the site-specific condition was lower than the IEC IIA, but in the case of the ultimate load, the site-specific condition showed higher results in some design load cases (DLCs). Selecting a wind turbine suitable for a site through load evaluation considering site conditions can prevent the reduction of operation and maintenance (O&M) costs and the power loss caused by downtime. Finally, it is expected to contribute to the project's levelized cost of energy (LCOE) reduction.

전지구수치예측모델의 토양수분 초기화를 위한 오프라인 Noah 지면모델 스핀업 특성분석 (Analyzing off-line Noah land surface model spin-up behavior for initialization of global numerical weather prediction model)

  • 전상희;박정현;부경온;강현석
    • 한국수자원학회논문집
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    • 제53권3호
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    • pp.181-191
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    • 2020
  • 본 연구에서는 전지구수치예보모델의 예측성능에 주요한 영향을 주는 요소 중 하나인 토양수분 초기장을 적절히 생산하기 위해, 오프라인 Noah 지면모델을 구축하여 스핀업실험을 수행하고 그 변동특성을 살펴보았다. 스핀업실험은 지면기후장 생성과 목표연도에 대한 현실화의 2단계로 구성되었다. 첫 번째 단계의 지면기후장 생성은 2008~2017년 기간에 대해 평균한 대기강제력으로 10년 동안 지면모델을 반복적으로 수행하는 방식으로 이루어졌으며, 토양수분 모의가 평형상태에 도달하는데 소요되는 시간은 토양깊이와 코펜 정의에 기반한 기후구 특성에 따라 차이가 컸다. 토양 첫 번째 층은 극지역에서 가장 길었고, 두 번째 층 부터 네 번째 층까지는 건조지역에서 평형상태에 도달하는 시간이 가장 늦어 최대 7년 내외의 시간이 소요되었다. 결과적으로 10년의 spin-up을 거치면 지면모델이 평형상태에 도달함을 알 수 있다. 이 소요시간은 지상기온과 강수량과 음의 상관관계를 보였다. 두 번째 단계에서는 2018년을 목표연도로 설정하고 지면기후장을 이용하여 추가 적분을 수행하고, 그 결과 6개월 이내에 지면모델에서 모의된 토양수분, 지표기온, 증발산량은 2018년 지면상태에 도달하는 것을 확인하였다. 이에 구축된 오프라인 Noah 지면모델 스핀업 시스템은 안정적으로 전구수치예보모델의 토양수분 초기장을 생산함으로써 전지구수치모델에 결합된 지면모델의 물리과정과 기초자료가 변하더라도 유연하게 대응할 수 있는 가능성을 확인하였다.

기상인자가 미세먼지 농도에 미치는 영향 (The Influence of Meteorological Factors on PM10 Concentration in Incheon)

  • 신문기;이충대;하현섭;최춘석;김용희
    • 한국대기환경학회지
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    • 제23권3호
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    • pp.322-331
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    • 2007
  • In this study, we have analyzed $PM_{10}$ concentration measured at Incheon Regional Air Monitoring Network (10 stations) and meteorological data at Incheon Weather Station to investigate factors (i.e. wind direction, wind speed, relative humidity, major meteorological phenomenon, and sea-land breezes existence) influencing $PM_{10}$ concentration in Incheon during 2005. Statistical differences among meteorological factors were assessed by Kruskal-Wallis test or Mann-Whitney U test. The main conditions causing high $PM_{10}$ concentration are summarized below; 1. When westerly wind prevailed (however, $PM_{10}$ decreased when winds were blowing from the east or north). 2. When the winds were calm, owing to accumulation of nearby emissions under stagnant conditions, or when the wind speed is in excess of 6 m/s, which shows the effect of fugitive dust produced by wind erosion. 3. Under the condition of high relative humidity and poor diffusion based on meteorological phenomenon such as fog, mist, and haze. 4. When the Sea-Land breezes existed, which occurred 70 days in Incheon during 2005 and contributed significantly to high $PM_{10}$ concentration in the coastal urban area. In conclusion, we have found that the meteorological factors have influence on $PM_{10}$ concentration in Incheon.

Ka-밴드 구름레이더 자료품질 및 구름통계 기초연구 (Preliminary Analysis of Data Quality and Cloud Statistics from Ka-Band Cloud Radar)

  • 예보영;이규원;권수현;이호우;하종철;김연희
    • 대기
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    • 제25권1호
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    • pp.19-30
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    • 2015
  • The Ka-band cloud radar (KCR) has been operated by the National Institute of Meteorological Research (NIMR) of Korea Meteorological Administration (KMA) at Boseong National Center for Intensive Observation of severe weather since 2013. Evaluation of data quality is an essential process to further analyze cloud information. In this study, we estimate the measurement error and the sampling uncertainty to evaluate data quality. By using vertically pointing data, the statistical uncertainty is obtained by calculating the standard deviation of each radar parameter. The statistical uncertainties decrease as functions of sampling number. The statistical uncertainties of horizontal and vertical reflectivities are identical (0.28 dB). On the other hand, the statistical uncertainties of Doppler velocity (spectrum width) are 2.2 times (1.6 times) larger at the vertical channel. The reflectivity calibration of KCR is also performed using X-band vertically pointing radar (VertiX) and 2-dimensional video disdrometer (2DVD). Since the monitoring of calibration values is useful to evaluate radar condition, the variation of calibration is monitored for five rain events. The average of calibration bias is 10.77 dBZ and standard deviation is 3.69 dB. Finally, the statistical characteristics of cloud properties have been investigated during two months in autumn using calibrated reflectivity. The percentage of clouds is about 26% and 16% on September to October. However, further analyses are required to derive general characteristics of autumn cloud in Korea.

시정과 습도 관측자료를 이용한 자동 현천 관측 정확도 향상 연구 (Improvement of Automatic Present Weather Observation with In Situ Visibility and Humidity Measurements)

  • 이윤상;최규용;김기훈;박성화;남호진;김승범
    • 대기
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    • 제29권4호
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    • pp.439-450
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    • 2019
  • Present weather plays an important role not only for atmospheric sciences but also for public welfare and road safety. While the widely used state-of-the-art visibility and present weather sensor yields present weather, a single type of measurement is far from perfect to replace long history of human-eye based observation. Truly automatic present weather observation enables us to increase spatial resolution by an order of magnitude with existing facilities in Korea. 8 years of human-eyed present weather records in 19 sites over Korea are compared with visibility sensors and auxiliary measurements, such as humidity of AWS. As clear condition agrees with high probability, next best categories follow fog, rain, snow, mist, haze and drizzle in comparison with human-eyed observation. Fog, mist and haze are often confused due to nature of machine sensing visibility. Such ambiguous weather conditions are improved with empirically induced criteria in combination with visibility and humidity. Differences between instrument manufacturers are also found indicating nonstandard present weather decision. Analysis shows manufacturer dependent present weather differences are induced by manufacturer's own algorithms, not by visibility measurement. Accuracies of present weather for haze, mist, and fog are all improved by 61.5%, 44.9%, and 26.9% respectively. The result shows that automatic present weather sensing is feasible for operational purpose with minimal human interactions if appropriate algorithm is applied. Further study is ongoing for impact of different sensing types between manufacturers for both visibility and present weather data.

영동지역 기상조건이 구름 및 강설 모의에 미치는 영향: 이상 실험 기반의 사례 연구 (Effects of Meteorological Conditions on Cloud and Snowfall Simulations in the Yeongdong Region: A Case Study Based on Ideal Experiments)

  • 김유준;안보영;김백조;김승범
    • 대기
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    • 제31권4호
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    • pp.445-459
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    • 2021
  • This study uses a cloud-resolving storm simulator (CReSS) to understand the individual effect of determinant meteorological factors on snowfall characteristics in the Yeongdong region based on the rawinsonde soundings for two snowfall cases that occurred on 23 February (Episode 1) and 13 December (Episode 2) 2016; one has a single-layered cloud and the other has two-layered cloud structure. The observed cloud and precipitation (snow crystal) features were well represented by a CReSS model. The first ideal experiment with a decrease in low-level temperature for Episode 1 indicates that total precipitation amount was decreased by 19% (26~27% in graupel and 53~67% in snow) compared with the control experiment. In the ideal experiment that the upper-level wind direction was changed from westerly to easterly, although total precipitation was decreased for Episode 1, precipitation was intensified over the southwestern side (specifically in terrain experiment) of the sounding point (128.855°E, 37.805°N). In contrast, the precipitation for Episode 2 was increased by 2.3 times greater than the control experiment under terrain condition. The experimental results imply that the low-level temperature and upper-level dynamics could change the location and characteristics of precipitation in the Yeongdong region. However, the difference in precipitation between the single-layered experiment and control (two-layered) experiment for Episode 2 was negligible to attribute it to the effect of upper-level cloud. The current results could be used for the development of guidance of snowfall forecast in this region.

한반도 상공의 응결핵 연구를 위한 기상항공기 나라호의 응결핵입자계수기 개선 및 관측 (Improvement and Observation of Condensation Particle Counter in Atmospheric Research Aircraft NARA for Condensation Particle Research in Korea)

  • 정운선;구정모;김민성;신혜민;고아름;장기호;차주완;이용희
    • 한국환경과학회지
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    • 제31권9호
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    • pp.803-813
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    • 2022
  • In this study, we improved the water-based condensation particle counter in Atmospheric Research Aircraft NARA and investigated the condensation particle number concentration over the Korean peninsula. Pump and set point information were changed to improve the instrument used by aircraft for observation. Ground-based observational result showed that the error between two instruments, which are water-based condensation particle counter and butanol-based condensation particle counter, was 4.7%. Aerial observational result revealed that the number concentration before improvement indicate large variation with unstable condition, whereas the number concentration after improvement indicate a reasonable variation. After improvement, the number concentration was 706±499 particle/cm3 in the West Sea and 257±80 particle/cm3 in Gangwon-do, and these are similar to the concentration range reported in previous studies. Notably, this is the first attempt to use aerial observation with water-based condensation particle counter to investigate condensation particle number concentration.

NMPB 2008의 기상학적 요소를 고려한 도로교통소음 예측 (Prediction of Road Traffic Noise By NMPB 2008 Considering Meteorological Effect)

  • 김필립;안소연;류훈재;박태호;장서일
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.943-947
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    • 2014
  • NMPB 2008을 포함한 일부 소음 예측식에서는 기상학적 요소를 고려할 수 있다. 특히 NMPB 2008을 이용하여 소음을 예측할 경우에는 기상학적인 요소의 고려는 필수적이다. 하지만, 우리나라의 실제 기상 상황을 반영할 수 있는 방법이 없는 것이 현실이다. 본 연구에서는 기상학적 요소를 적용하기 위해서 하향 굴절 발생 빈도를 적용하여 소음도를 비교하였다. 기상학적 요소의 하향 굴절 발생 빈도의 증가에 따라 소음도가 증가하는 것을 확인하였고, 1kHz 이상의 주파수에서 거리에 따른 소음도의 차이에 상대적으로 큰 영향을 미치는 것을 확인하였다. 기상학적 요소의 적용은 예측 소음도의 정확도를 향상시킬 것으로 기대된다.

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