Abstract

In order to predict air pollution and Yellow-sand dispersion precisely, it is necessary to clarify the sensitivity of meteorological field input interval. Therefore numerical experiment by atmospheric dynamic model(RAMS) and atmospheric dispersion model(PDAS) was performed for evaluating the effect of temporal and spatial resolution of meteorological data on particle dispersion. The results are as follows: 1) Base on the result of RAMS simulation, surface wind direction and speed can either synchronize upper wind or not. If surface wind and upper wind do not synchronize, precise prediction of Yellow-sand dispersion is strongly associated with upwelling process of sand of particle. 2) There is no significant discrepance in distribution of particle under usage of difference temporal resolution of meteorological information at early time of simulation, but the difference of distribution of particles become large as time goes by. 3) There is little difference between calculated particles distributions in dispersion experiments with high temporal resolution of meteorological data. On the other hand, low resolution of meteorological data occur the quantitative difference of particle density and there is strong tendency to the quantitative difference.

주제어

#Yellow-sand   #PAMS   #PDAS   #Spatial resolution  

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1. Moon, Yun-Seob ; Lim, Yun-Kyu ; Lee, Kang-Yeol 2011. "An Estimation of Concentration of Asian Dust (PM₁₀) Using WRF-SMOKE-CMAQ (MADRID) During Springtime in the Korean Peninsula" 한국지구과학회지 = Journal of the Korean Earth Science Society, 32(3): 276~293  원문보기 상세보기