AERMOD is a new, advanced plume dispersion model. It is mainly applied to regulatory plume models of air dispersion. In AERMOD model, it should input three site-specific land use parameters which are the Bowen ratio, the albedo and surface roughness length. These parameters are functions of ground cover (land use), and affect the concentration calculations. It is important to know how sensitive the model results are to these parameters, so that their input values are characterized with sufficient accuracy for modeling purposes. This study evaluates the effect on design concentration predictions from AERMOD, for a range of variations of the albedo, Bowen ratio and surface roughness length individually and in combination over the ranges of values one would expect to encounter in realistic modeling scenarios. The effects of variations of combinations of these parameters on design concentration predictions is further evaluated by selecting the land use parameters that are characteristic of each of four types of ground cover. The sensitivity of the design concentration predictions by the AERMOD model to these input parameters is discussed. Recommendations are provided as to the accuracy needed for values of the Bowen ratio, albedo and surface roughness length that are used in the AERMOD model.%AERMOD是一个新的先进的烟羽扩散模型,它主要应用到大气扩散的法规烟羽模式.在AERMOD模型中,它需要输入3个地表参数因子,分别是波文比、地表反照率和地面粗糙度.这些因子代表着不同的土地利用类型,影响着AERMOD模型的预测浓度.为了确保输入的地表参数因子值能更精确有效地模拟预测浓度,了解这些因子如何影响模拟结果是非常重要的.探讨了不同数值的地表反照率、波文比和地面粗糙度对AERMOD模式的模拟预测浓度值的影响变化情况,并通过4种土地利用类型来评价不同的地表参数因子对AERMOD的浓度影响,从而提出AERMOD模式中地表参数波文比、地表反照率和地面粗糙度的精确性的建议.
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