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The research project EVA general objectives and main results

机译:研究项目EVA的总体目标和主要成果

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Emissions are generally believed to represent a part, if not most, of the uncertainty in input data for air quality models. The quality of emission data, however, is largely unknown. There are indicators that the actual and modeled emissions may differ by more than a factor of two. In order to evaluate the uncertainty of calculated emissions of individual ozone precursors, a joint research project evaluation of highly resolved emission inventories (EVA) was designed and executed. The main objective of EVA was to determine the total emissions of ozone precursors of a city (Augsburg) experimentally and to compare the obtained results with calculated emissions using state-of-the-art models. This paper presents an overview of the project design and activities.
机译:通常认为排放是空气质量模型输入数据不确定性的一部分,即使不是大多数。然而,排放数据的质量很大程度上未知。有指标表明,实际排放量和模型排放量可能相差两个以上。为了评估单个臭氧前体的计算排放量的不确定性,设计并执行了一项联合研究项目评估,即高度分解的排放清单(EVA)。 EVA的主要目的是通过实验确定一个城市(奥格斯堡)的臭氧前体的总排放量,并将获得的结果与使用最新模型计算出的排放量进行比较。本文概述了项目设计和活动。

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