• 제목/요약/키워드: Fine grid air dispersion model

검색결과 2건 처리시간 0.02초

미세 격자 대기 확산 모델링을 통한 안산지역 PM10 고농도 사례 분석 (An Analysis of the Case related with High PM10 Concentrations Using a Fine Grid Air Dispersion Modeling in Ansan Area)

  • 송동웅;송창근
    • 한국환경과학회지
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    • 제12권9호
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    • pp.977-986
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    • 2003
  • In this study, the scenario for a numerical modeling of the fine grid scale air dispersion phenomena was proposed and an analysis of the special event which was occurred on September 3, 2002 was performed using by a coarse grid prognostic meteorological model, a fine grid diagnostic meteorological model and a fine grid air dispersion model. Based on the results, we found that the local circulations, like as land-sea breeze, should be seriously considered for evaluating the high PM10 concentration event and for making the reduction policy of the major air pollutant emissions in Ansan area.

추적자 확산 실험에 의한 서울 도심 확산 현상 연구 - 추적기체의 확산특징과 CALPUFF 모델에 의한 모사 (Tracer Experiment for the Investigation of Urban Scale Dispersion of Air Pollutants - Simulation by CALPUFF Dispersion Model and Diffusion Feature of Tracer Gases)

  • 이종범;김재철;이강웅;노철언;김혜경
    • 한국대기환경학회지
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    • 제23권4호
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    • pp.405-419
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    • 2007
  • A series of tracer experiments for the evaluation of atmospheric dispersion was performed over the urban area of Seoul using two inert, non-deposition perfluorocarbon (PMCH and m-PDCH) gases during three years campaign on 2002, 2003 and 2005. 30 sampling sites for collecting these tracers were located along two arcs of 2.5 and 5 kilometers downwind from the release point. About ten measurements which each lasted for 2 hours or 4 hours were made over the two consecutive days during each campaign. CALPUFF and MM5 meteorological model were applied to evaluate the urban dispersion in detail. Size of Modeling domain was $27\;km{\times}23\;km$ and the fine nest in the modeling domain had a grid size of 0.5 km. The results showed that CALPUFF dispersion model had a tendency to estimate tracer concentrations about $2{\sim}5$ times less than those of ambient samples under many conditions. These consistent inaccuracy in urban dispersion was attributed to inherent inaccuracy and lack of details in terrain data at urban area.