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AERMOD Results using Standard and Mesoscale Model Meteorological Data

机译:使用标准和中尺度模型气象数据的AERMOD结果

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This study reviews AERMOD-predicted concentrations for several hypothetical sources at locations throughout the United States. An analysis of the differences in the meteorological parameters affecting dispersion, including wind speed and direction and mixing heights, contained in AERMOD-ready data sets to the data resource (i.e., NWS observations or WRF output processed through MMIF in various manners) is presented. Also presented is an analysis of the sensitivity of AERMOD-predicted concentrations to the meteorological data source and processing methodology. A second review focuses on the sensitivity of modeled concentrations to the choice of WRF grid point, representing a typical airport location and a typical application site, for each region included in the analysis. These analyses show that considerable variation can be seen in all meteorological parameters generated by MMIF and AERMET depending on the source of raw data (WRF versus NWS data) and the valid location of the meteorological data when using MMIF (location representative of airport versus application site). Variations in planetary boundary layer parameters, such as mixing height, can also occur depending on the options used to generated AERMOD-ready data in MMIF. These variations in meteorological parameters can lead to considerable differences in AERMOD predicated concentrations as shown through a series of case studies using hypothetical sources. Users of MMIF should be familiar with the assumptions that are made when generating AERMOD-ready meteorological data and the sensitivity of the various inputs and analysis methodologies that can be used to when using data generated by this tool.
机译:这项研究回顾了AERMOD预测的在美国各地几种假设来源的浓度。提出了对影响分散的气象参数差异的分析,包括风速,风向和混合高度,这些数据包含在AERMOD就绪数据集中的数据集中(即NWS观测值或通过MMIF处理的WRF输出)。还介绍了AERMOD预测浓度对气象数据源和处理方法的敏感性分析。第二次审查的重点是分析中每个区域的建模浓度对WRF网格点选择的敏感性,代表典型的机场位置和典型的应用地点。这些分析表明,取决于原始数据的来源(WRF与NWS数据)以及使用MMIF(代表机场与应用地点的位置的气象数据)的有效位置,由MMIF和AERMET生成的所有气象参数都可以看到相当大的变化。 )。行星边界层参数(例如混合高度)的变化也可能发生,具体取决于用于在MMIF中生成AERMOD就绪数据的选项。气象参数的这些变化会导致AERMOD预测浓度的显着差异,如使用假设来源进行的一系列案例研究所示。 MMIF的用户应熟悉生成AERMOD就绪的气象数据时所做的假设,以及使用此工具生成的数据时可以使用的各种输入和分析方法的敏感性。

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