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黄江平, 王喜全, 王自发. 城市环境对重气扩散的影响及其验证[J]. 气候与环境研究, 2012, 17(3): 274-280. DOI: 10.3878/j.issn.1006-9585.2011.10095
引用本文: 黄江平, 王喜全, 王自发. 城市环境对重气扩散的影响及其验证[J]. 气候与环境研究, 2012, 17(3): 274-280. DOI: 10.3878/j.issn.1006-9585.2011.10095
HUANG Jiangping, WANG Xiquan, WANG Zifa. The Effect of Urban Condition on Denser-than-Air Gas Dispersion and Its Validation[J]. Climatic and Environmental Research, 2012, 17(3): 274-280. DOI: 10.3878/j.issn.1006-9585.2011.10095
Citation: HUANG Jiangping, WANG Xiquan, WANG Zifa. The Effect of Urban Condition on Denser-than-Air Gas Dispersion and Its Validation[J]. Climatic and Environmental Research, 2012, 17(3): 274-280. DOI: 10.3878/j.issn.1006-9585.2011.10095

城市环境对重气扩散的影响及其验证

The Effect of Urban Condition on Denser-than-Air Gas Dispersion and Its Validation

  • 摘要: 开发了适合城市环境下的应急重气扩散模型——SLAB_URBAN模型,该模型能够对城市环境下重气的传输扩散过程进行模拟。模型的原理基于重气扩散浅层理论,采用了新的城市边界层和扩散参数的参数化方案。该方案考虑了城市冠层内特有的风和湍流扩散的特征,能够体现城市边界层和湍流对重气扩散的影响。对美国盐湖城 Urban 2000 的城市扩散试验进行模拟,主要验证下风方向观测弧所观测到的气体最大小时平均浓度与源释放速率的比值。结果表明,模型能够比较好地模拟出下风方向上浓度的分布特征。另外,与国外同类城市扩散模型的比较来看, SLAB_URBAN模型的模拟能力居于前列。

     

    Abstract: To simulate the urban dispersion of denser-than-air gases, an urban denser-than-air dispersion model known as SLAB_URBAN model was developed. The model is based on the shallow layer theory. A new urban boundary and dispersion coefficients parameterization representing the urban wind and turbulence features is applied to the model. Tests were performed during the field campaign Urban 2000 which was held in October 2000 in Salt Lake City. The tracer data sets are adopted to demonstrate the SLAB_URBAN model performance.The focus of the comparisons is on the maximum concentration, on a given monitoring arc, normalized by the emission rate. At Urban 2000, for all samples and release times, the predictions of the SLAB_URBAN model are shown to agree with observations. Furthermore, SLAB_URBAN model is evaluated by comparison with other urban dispersion models. The SLAB_URBAN model predictions are shown to perform well in all urban dispersion models.

     

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