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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2003.6
- 수록면
- 249 - 261 (13page)
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초록· 키워드
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A three-dimensional mesoscale atmospheric dispersion modeling system consisting of the Lagrangian particle dispersion model(LPDM) and the meteorological mesoscale model(MM5) was employed to simulate the transport and dispersion of non-reactive pollutant during the nuclear spill event occurred from Sep. 31 to Oct. 3, 1999 in Tokaimura city, Japan. For the comparative analysis of numerical experiment, two more sets of foreign mesoscale modeling system; NCEP(National Centers for Environmental Prediction) and DWD(Deutscher Wetter Dienst) were also applied to address the applicability of air pollution dispersion predictions.
We noticed that the simulated results of horizontal wind direction and wind velocity from three meteorological modeling showed remarkably different spatial variatioms, mainly due to the different horizontal resolutions. However, the dispersion process by LPDM was well characterized by meteorological wind fields, and the time-dependent dilution factors(X/Q) were found to be qualitatively simulated in accordance with each mesoscale meteorolocal wind field, suggesting that LPDM has the potential for the use of the real time control at optimization of the urban air pollution provided detailed meteorological wind fields. This paper mainly pertains to the mesoscale modeling approaches, but the results imply that the resolution of meteorological model and the implementation of the relevant scale of air quality model lead to better prediction capabilities in local of urban scale air pollution modeling.
We noticed that the simulated results of horizontal wind direction and wind velocity from three meteorological modeling showed remarkably different spatial variatioms, mainly due to the different horizontal resolutions. However, the dispersion process by LPDM was well characterized by meteorological wind fields, and the time-dependent dilution factors(X/Q) were found to be qualitatively simulated in accordance with each mesoscale meteorolocal wind field, suggesting that LPDM has the potential for the use of the real time control at optimization of the urban air pollution provided detailed meteorological wind fields. This paper mainly pertains to the mesoscale modeling approaches, but the results imply that the resolution of meteorological model and the implementation of the relevant scale of air quality model lead to better prediction capabilities in local of urban scale air pollution modeling.
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