摘要
本文运用随机游动模拟方法改进建立一种粒子—烟团模式,成功地模拟了对流边界层条件下污染物扩散,粒子—烟团模式的模拟结果与水槽试验的结果吻合较好。数值模拟试验结果表明粒子—烟团模式能在施放粒子数较少,从而运行时间很短的情况下,得到优于一般随机游动模式的模拟性能。用KNRC的资料对模式的模拟性能作一验证,表明模式也能很好地模拟实际大气中不同稳定度情况下的扩散。
In this paper,one kind of particle -puff model (PARTPUFF) for dispersion in convec-tive boundary layer(CBL) which is based on a random walk model was set up. The randomwalk model and the (PARTPUFF) model were applied to the dispersion in CBL,the resultsof some numerical experiments showed that the PARTPUFF model could get better simula-tion results than the random walk model with less particles and time, and the results ofPARTPUFF model were well consistent with the results of water tank experiment(Willis &Deardorff). The model also was verified by the data of KNRC experiment with differentdegrees of atmospheric stability. It has showed that PARTPUFF model which was set up inthis paper is a pretty good description for dispersion in CBL,and the model also very practi-cal.
出处
《气象科学》
CSCD
北大核心
1997年第3期230-236,共7页
Journal of the Meteorological Sciences
关键词
大气扩散
对流边界层
随机游动模型
粒子
烟团
Atmospheric dispersion
Convective boundry layer
A random walk model
Particle-puff model (PARTPUFF)