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Constructing AERMOD-Ready Meteorological Input Using Climatological WRF Output and Its Impact on Regulatory AERMOD Applications

机译:使用气候WRF输出构建Aermod现实的气象输入及其对调节Aermod应用的影响

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The object of this analysis was to compare the maximum ground-level concentrations predicted by AERMOD using WRF generated meteorological data and AQMD observation based meteorological data in order to determine the implications to permit processing should WRF generated meteorological data be used in lieu of on-site or AQMD provided meteorological data for projects within the South Coast air basin. Our analysis shows that using WRF generated meteorological data will generally lead to an under-prediction of impacts for area and volume sources, while the impacts from point sources will generally be over-predicted. Furthermore, the annual impacts will be most closely predicted, while the impacts for 1-hour, 3-hour, 8-hour, and 24-hour averaging times will be increasingly over-predicted. The over-prediction observed using the WRF generated data is consistent with prior analyses. In all, the use of WRF generated meteorological data in AERMOD would be acceptable as it generally leads to a conservative estimation of impacts, except for area and point sources, when impacts could be under-predicted.
机译:该分析的目的是使用WRF产生的气象数据和基于AQMD观察的气象数据进行比较Aermod预测的最大地面浓度,以确定允许加工的影响是否应该使用代替现场使用的气象数据或AQMD为南海岸空气流域内的项目提供了气象数据。我们的分析表明,使用WRF产生的气象数据通常会导致面积和体积源的影响的欠预测,而从点源的影响通常将过度预测。此外,每年的影响将最为严格预测,而1小时,3小时,8小时和24小时平均时间的影响将越来越多地预测。使用WRF生成数据观察的过预测与先前的分析一致。总而言之,在Aermod中使用WRF产生的气象数据将是可以接受的,因为它通常导致保守估计的影响,除了区域和点来源,当可能被预测地预测时。

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