• 제목/요약/키워드: Atmospheric model

검색결과 2,058건 처리시간 0.023초

한국형 재해평가모형(RAM)의 초기입력자료 적합성 평가 (Compatibility for the Typhoon Damages Predicted by Korea Risk Assessment Model Input Data)

  • 박종길;이보람;정우식
    • 한국환경과학회지
    • /
    • 제24권7호
    • /
    • pp.865-874
    • /
    • 2015
  • This study was conducted to investigate the correlation between the distribution chart and input data of the predicted 3-second gust and damage cost, by using the forecast field and analysis field of Regional Data Assimilation Prediction System (RDAPS) as initial input data of Korea risk assessment model (RAM) developed in the preceding study. In this study the cases of typhoon Rusa which caused occurred great damage to the Korean peninsula was analyzed to assess the suitability of initial input data. As a result, this study has found out that the distribution chart from the forecast field and analysis field predicted from the point where the effect due to the typhoon began had similarity in both 3-second gust and damage cost with the course of time. As a result of examining the correlation, the 3-second gust had over 0.8, and it means that the forecast field and analysis field show similar results. This study has shown that utilizing the forecast field as initial input data of Korea RAM could suit the purpose of pre-disaster prevention.

GIS와 PRISM을 이용한 고해상도 격자형 강수량 추정 (Estimation of High Resolution Gridded Precipitation Using GIS and PRISM)

  • 신성철;김맹기;서명석;나득균;장동호;김찬수;이우섭;김연희
    • 대기
    • /
    • 제18권1호
    • /
    • pp.71-81
    • /
    • 2008
  • In this study, in order to estimate high resolution precipitation with monthly time scales, Parameter-elevation Regressions on Independent Slopes Model (PRISM) was modified and configured for Korean precipitation based on elevation, distance, topographic facet, and coastal proximity. Applying this statistical downscaling model to Korean precipitation for 5 years from 2001 to 2005, we have compiled monthly grid data with a horizontal resolution of 5-km and evaluated the model using bias, root mean square error (RMSE), and correlation coefficient between the observed and the estimated. Results show that bias, RMSE, and correlation coefficient of the estimated value have a range from 0.2% to 1.0%, 19.6% (June) to 43.9% (January), and 0.73 to 0.84, respectively, indicating that the modified Korean PRISM (K-PRISM) is reasonably worked by weighting factors, i.e., topographic effect and rain shadow effect.

인공신경망과 대기부식환경 모니터링 데이터를 이용한 항공기 세척주기 결정 알고리즘 (Algorithm for Determining Aircraft Washing Intervals Using Atmospheric Corrosion Monitoring of Airbase Data and an Artificial Neural Network)

  • 권혁준;이두열
    • Corrosion Science and Technology
    • /
    • 제22권5호
    • /
    • pp.377-386
    • /
    • 2023
  • Aircraft washing is performed periodically for corrosion control. Currently, the aircraft washing interval is qualitatively set according to the geographical conditions of each base. We developed a washing interval determination algorithm based on atmospheric corrosion environment monitoring data at the Republic of Korea Air Force (ROKAF) bases and United States Air Force (USAF) bases to determine the optimal interval. The main factors of the washing interval decision algorithm were identified through hierarchical clustering, sensitivity analysis, and analysis of variance, and criteria were derived. To improve the classification accuracy, we developed a washing interval decision model based on an artificial neural network (ANN). The ANN model was calibrated and validated using the atmospheric corrosion environment monitoring data and washing intervals of the USAF bases. The new algorithm returned a three-level washing interval, depending on the corrosion rate of steel and the results of the ANN model. A new base-specific aircraft washing interval was proposed by inputting the atmospheric corrosion environment monitoring results of the ROKAF bases into the algorithm.

3D City모델과 CFD 모델을 통합한 대기환경 시각화 연구 (A Study on Atmospheric Environment Visualization by Integrating 3D City Model and CFD Model)

  • 안승만;이호영;성효현;최영진;우정헌
    • 대한공간정보학회지
    • /
    • 제19권4호
    • /
    • pp.13-21
    • /
    • 2011
  • 3D City 모델로부터 CFD 모델 입력자료를 생성하여 모델링 품질을 향상시키고 CFD 모델링 결과를 3D 모델과 통합하여 사실적이고 쉽게 인지할 수 있는 시각화 방법에 대하여 연구하였다. 국토지리정보원에서 구축한 3D City 모델을 이용해 세밀도와 정확도가 향상된 CFD 모델 입력자료를 생산하여 적용함으로써 상세한 도시공간구조를 반영하는 향상된 CFD 모델을 생산하였다. CFD_NIMR_SNU 모델로부터 바람의 흐름과 오염물질 확산을 시뮬레이션 하였으며 3D City Model과 CFD 모델을 통합하여 동적으로 시각화 하였다. 본 대기환경 시각화 도구는 도시기후 계획 및 관리에 있어 의사결정을 위한 시각적 소통능력을 향상시켜 비용과 시간을 최소화할 것이다.

광역규모 예측인자를 이용한 한반도 계절 강수량의 장기 예측 (Long-term Forecast of Seasonal Precipitation in Korea using the Large-scale Predictors)

  • 김화수;곽종흠;소선섭;서명석;박정규;김맹기
    • 한국지구과학회지
    • /
    • 제23권7호
    • /
    • pp.587-596
    • /
    • 2002
  • 경험적 직교함수(EOF)분석법과 다중회귀법에 기초하여 지연상관된 광역규모 예측인자로부터 3개월 이전에 계절 강수량을 예측할 수 있는 슈퍼앙상블 모델이 개발되었다. 이 모델의 예측성이 교차검증법에 의해 평가되었다. 관측값과 예측값사이의 상관계수는 봄철에 0.73, 여름철에 0.61, 가을철에 0.69, 겨울철에 0.75로 나타났다. 이러한 값은 유의수준 ${\alpha}$=0.00에서 유의한 값이다. 수퍼 앙상블 방법의 범주형 예측성이 3개 범주로 나누어진 사례에 대해서 평가되었다. 3개 범주는 계절 누적강수량의 상위 33.3%를 과우해, 하위 33.3%를 소우해, 그 나머지를 평년해로 구분하였다. 범주형 예측의 적중률은 계절에 따라 42%에서 74%로 나타났다.

원전부지 주변 국지순환에 따른 방사성 물질의 대기확산 특성 연구 (A Study on Mesoscale Atmospheric Dispersion of Radioactive Particles Released from Nuclear Power Plants)

  • 이갑복;이명찬;송영일
    • Journal of Radiation Protection and Research
    • /
    • 제22권4호
    • /
    • pp.273-288
    • /
    • 1997
  • 우리나라 원전이 위치하고 있는 해안지역에서 빈번히 발생하는 해륙풍 등과 같은 국지순환에 따른 방사성 물질의 대기확산 특성을 알아보기 위해 월성원전 주변지역을 대상으로 삼차원 해륙풍 모델과 라그랑지안 입자확산모델을 이용하여 봄철 약한 북풍이 부는 맑은 날과 강한 북풍이 부는 맑은 날에 대해 방사성 물질 확산에 관한 삼차원 시뮬레이션을 수행하였다. 시뮬레이션 결과, 해륙풍과 같은 국지순환의 발달여부에 따라 방사성 입자의 대기확산이 서로 다르게 나타남을 알 수 있었다. 또한 해륙풍의 해풍과 육풍의 풍향교체에 따른 입자의 재순환 현상이 대기중 농도분포에 중요한 역할을 하는 것을 확인할 수 있었다.

  • PDF

복잡 해안지역 해상풍 모의의 정확도 개선- I : 현업모델의 평가 (Improvements in the simulation of sea surface wind over the complex coastal area- I : Assessment of current operational model)

  • 배주현;김유근;오인보;정주희;권지혜;서장원
    • 한국환경과학회지
    • /
    • 제14권7호
    • /
    • pp.657-667
    • /
    • 2005
  • In this study, we focused on the improvements in the simulation of sea surface wind over the complex coastal area. MM5 model being currently used to predict sea surface wind at Korea Meteorological Administration, was used to verify the accuracy to estimate the local wind field. A case study was performed on clear days with weak wind speed(4 m/s), chosen by the analysis of observations. The model simulations were conducted in the southeastern area of Korea during the selected periods, and observational data such as AWS, buoy and QuikSCAT were used to compare with the calculated wind components to investigate if simulated wind field could follow the tendency of the real atmospheric wind field. Results showed that current operational model, MM5, does not estimate accurately sea surface wind and the wind over the coastal area. The calculated wind speed was overestimated along the complex coastal regions but it was underestimated in islands and over the sea. The calculated diurnal changes of wind direction could not follow well the tendency of the observed wind, especially at nighttime. In order to exceed the limitations, data assimilation with high resolution data and more specificated geographical information is expected as a next best policy to estimate accurately the environment of local marine wind field.