DOI QR코드

DOI QR Code

Applicable Evaluation of the Latest Land-use Data for Developing a Real-time Atmospheric Field Prediction of RAMS

RAMS의 실시간 기상장 예측 향상을 위한 최신 토지피복도 자료의 적용가능성

  • Won, Gyeong-Mee (School of Earth Environmental System, Pusan National University) ;
  • Lee, Hwa-Woon (School of Earth Environmental System, Pusan National University) ;
  • Yu, Jeong-Ah (Chemical Safety & Accident Prevention Division, National Institute of Environmental Research) ;
  • Hong, Hyun-Su (Department of Environmental Engineering, Daejeon University) ;
  • Hwang, Man-Sik (Chemical Safety & Accident Prevention Division, National Institute of Environmental Research) ;
  • Chun, Kwang-Su (Chemical Safety & Accident Prevention Division, National Institute of Environmental Research) ;
  • Choi, Kwang-Su (Chemical Safety & Accident Prevention Division, National Institute of Environmental Research) ;
  • Lee, Moon-Soon (Chemical Safety & Accident Prevention Division, National Institute of Environmental Research)
  • 원경미 (부산대학교 지구환경시스템학부) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 유정아 (국립환경과학원 화학안전예방과) ;
  • 홍현수 (대전대학교 환경공학과) ;
  • 황만식 (국립환경과학원 화학안전예방과) ;
  • 천광수 (국립환경과학원 화학안전예방과) ;
  • 최광수 (국립환경과학원 화학안전예방과) ;
  • 이문순 (국립환경과학원 화학안전예방과)
  • Published : 2008.02.29

Abstract

Chemical Accident Response Information System (CARIS) which has been designed for the efficient emergency response of chemical accidents produces the real-time atmospheric fields through the Regional Atmospheric Modeling System, RAMS. The previous studies were emphasized that improving an initial input data had more effective results in developing prediction ability of atmospheric model. In a continuous effort to improve an initial input data, we replaced the land-use dataset using in the RAMS, which is a high resolution USGS digital data constructed in April, 1993, with the latest land-use data of the Korea Ministry of Environment over the South Korea and simulated atmospheric fields for developing a real-time prediction in dispersion of chemicals. The results showed that the new land-use data was written in a standard RAMS format and shown the modified surface characteristics and the landscape heterogeneity resulting from land-use change. In the results of sensitivity experiment we got the improved atmospheric fields and assured that it will give more reliable real-time atmospheric fields to all users of CARIS for the dispersion forecast in associated with hazardous chemical releases as well as general air pollutants.

Keywords

References

  1. 국립환경과학원(2002) 화학물질사고대응요령 교육, 국립환 경과학원 화학물질안전관리센터 유해화학물질사 고대응지침서, 68pp
  2. 국립환경과학원(2005) 화학물질사고대응정보시스템 개발 3 차년도 보고서, 국립환경과학원 화학물질안전관 리센터, 11-90
  3. 국립환경과학원(2007) 화학물질안전관리센터, http://ccsms. nier.go.kr/
  4. 김철희, 나진균, 박철진, 박진호, 임차순, 윤 이, 김민섭, 박춘 화, 김용준(2003a) 유해화학물질 대기확산 예측을 위한 RAMS 기상모델의 적용 및 평가, 한국대기환경학회지, 19(5), 595-610
  5. 김철희, 박철진, 박진호, 임차순, 김민섭, 박춘화, 천광수, 나진 균(2003b) 유해화학물질 관련 대기오염사고 대응 을 위한 화학물질사고대응정보시스템 (CARIS), 환경영향평가, 2(1), 23-34
  6. 오현선, 김영성, 김용준(2002) 우리나라 국지 대기순환 모델 결과의 검증에 관한 고찰, 한국대기환경학회지, 18(1), 59-65
  7. 원경미, 이화운, 정우식, 이귀옥, 김철희(2004) 초기 입력 자 료의 개선에 의한 RAMS 기상장 예측, 2004년 한 국대기환경학회 추계학술대회 논문집, 75-76
  8. 환경부(2007) 환경지리정보, http://egis.me.go.kr/egis/
  9. ATMET(2002) RAMS Technical description, RAMS Technical manual at atmospheric meteorological and environmental technology site (http://www.atmet. com)
  10. Chen, F. and J. Dudhia (2001) Coupling an advanced landsurface/ hydrology model with the Penn State/NCAR MM5 modeling system Part I: Model implementation and sensitivity, Monthly Weather Review, 129, 569-585 https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
  11. Ek, M.B., K.E. Mitchell, Y. Lin, E. Rogers, P. Grummann, V. Koren, G. Gayno, and J.D. Tarpley (2003) Implementation of Noah land-surface model advances in the NCEP operational mesoscale Eta mode, Journal of Geophys. Res., 108(D22): No. 8851 NOV 29
  12. Kusaka, H. and F. Kimura (2004) Coupling a single-layer urban canopy model with a simple atmospheric model: Impact on urban heat island simulation for an idealized case, Journal of the Meteorological Society of Japan, 82, 67-80 https://doi.org/10.2151/jmsj.82.67
  13. Kusaka, H., H. Kondo, Y. Kikegawa, and F. Kimura (2001) A simple single-layer urban canopy model for atmospheric models: Comparison with multi-layer and slab models, Bound.-Layer Meteorol., 101, 329- 358 https://doi.org/10.1023/A:1019207923078
  14. Liu, Y., F. Chen, T. Warner, S. Swerdlin, J. Bowers, and S. Halvorson (2004) Improvements to surface flux computations in a non-local-mixing PBL scheme, and refinements on urban processes in the Noah land-surface model with the NCAR/ATEC realtime FDDA and forecast system, 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 11-15 January, 2004, Seattle, Washington
  15. Pielke, R.A. (1974) A three dimensional numerical model of the sea breeze over south Florida, Mon. Weath. Rev., 102, 115-139 https://doi.org/10.1175/1520-0493(1974)102<0115:ATDNMO>2.0.CO;2
  16. Walko, R.L., C.J. Tremback, R.A. Pielke, and W.R. Cotton (1995) An interactive nesting algorithm for stretched grids and variable nesting ratios, J. Appl. Meteor., 34, 9pp

Cited by

  1. Sensitivity Analysis of Weather Variables on Offsite Consequence Analysis Tools in South Korea and the United States vol.15, pp.5, 2018, https://doi.org/10.3390/ijerph15051027