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RISS 인기검색어
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- 저자 : 임차순 ( C. S. Im ) (검색결과 2 건)
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유해화학물질 관련 대기오염사고 대응을 위한 화학물질사고대응정보시스템 (CARIS)
김철희 ( C. H. Kim ),박철진 ( C. J. Park ),임차순 ( C. S. Im ),김민섭 ( M. S. Kim ),박춘화 ( C. H. Park ),천광수 ( K. S. Chun ),나진균 ( J. G. NA ) 한국환경영향평가학회 2003 환경영향평가 Vol.12 No.1
The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management),NIER(National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduces the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.
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김철희,나진균,박철진,박진호,임차순,윤이,김민섭,박춘화,김용준 한국대기환경학회 2003 한국대기환경학회지 Vol.19 No.5
The statistical indexes such as RMSE(Root Mean Square Error), Mean Bias errer, and IOA(Index of agreement) are used to evaluate 3 Dimensional wind and temperature fields predicted by operational meteorological model RAMS(Regional Atmospheric Meteorological System) implemented in CARIS(Chemical Accident Response Information System) for the dispersion forecast of hazardous chemicals in case of the chemical accidents in Korea. The operational atmospheric model, RAMS in CARIS are designed to use GDAPS, GTS, and AWS meteorological data obtained from KMA(Korean Meteorological Administration) for the generation of 3-dimensional initial meteorological field. The predicted meteorological variables such as wind speed, wind direction, temperature, and precipitation amount, during 19~23, August 2002, are extracted at the nearest grid point to the meteorological monitoring sites, and validated against the observations located over the Korean peninsula. The results show that Mean bias and Root Mean Square Error are 0.9(m/s), 1.85(m/s) for wind speed at 10m above the ground, respectively, and 1.45(℃), 2.82(℃) for surface temperature. Of particular interest is the distribution of forecastion error predicted by RAMS with respect to the altitude; relatively smaller error is found in the near-surface atmosphere for wind and temperature fields, while it grows larger as the altitude increases. 0verall, some of the overpredictions in comparisons with the observations are detected for wind and temperature fields, whereas relatively small errors are found in the near surface atmosphere. This discrepancies are partly attributed to the oversimplified spacing of soil, soil contents and initial temperature fields, suggesting some improvement could probably be gained if the sub-grid scale nature of moisture and temperature fields was taken into account. However, IOA values for the wind field(0.62) as well as temperature field(0.78) is grater than the 'good' value criteria(>0.5) implied by other studies. The good value of IOA along with relatively small wind field error in the near surface atmosphere implies that, on the basis of current meteological data for initial fields, RAMS has good potentials to be used as a operational meteorogical model in predicting the urban or local scale 3-dimensional wind fields for the dispersion forecast in association with hazardous chemical releases in Korea.
ScienceON
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