Representative Meteorological Data for AERMOD: The Applicability of ADJ_U~* to Onsite Meteorological Datasets that Include Partial Turbulence

机译：AERMOD的代表性气象数据：ADJ_U〜*对包括部分湍流的现场气象数据集的适用性

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1.Largest effect is on ground level sources 2.Decision to useot use ADJ_U~* is much more impactful than which met data source is chosen 3.Onsite data with σ_θ produces much higher concentrations than any other method (3.5-7.2_x higher in cases studied) if regulatory guidance is followed (no ADJ_U~*) 4.Applying ADJ_U~* brings onsite data with σ_θ roughly in line with other regulatory approaches.

机译：1.最新效果是在地面源码中2.使用/不使用/不使用adj_u〜*比选择符合数据源的更大的影响力，3.Σ_θ的数据数据产生高于任何其他方法的浓度（3.5-7.2_x在研究中较高）如果遵循调节指导（没有ADD_U〜*），请施加adj_u〜*将现场数据带入大致与其他监管方法符合其他调节方法。

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《Air and Waste Management Association annual conference and exhibition》|2018年|1700-1710|共11页
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Brian Holland; Tiffany Stefanescu; Qiguo Jing; Weiping Dai;
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3. Prognostic Meteorological Data: A New Approach for Representative Meteorological Data in Regulatory Dispersion Modeling Applications [J] . Thomas S. Wickstrom, Karthikeyan (Surya) Ramaswamy, Mark E. Garrison The Magazine for Environmental Managers . 2016,第OCTa期

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4. Representative Meteorological Data for AERMOD: The Applicability of ADJ_U~* to Onsite Meteorological Datasets that Include Partial Turbulence [C] . Brian Holland, Tiffany Stefanescu, Qiguo Jing, Air and Waste Management Association annual conference and exhibition . 2018

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Representative Meteorological Data for AERMOD: The Applicability of ADJ_U~* to Onsite Meteorological Datasets that Include Partial Turbulence

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