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A new approach to design source-receptor relationships for air quality modelling

机译:设计空气质量模型的源-受体关系的新方法

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Air quality models are often used to simulate how emission scenarios influence the concentration of primary as well as secondary pollutants in the atmosphere. In some cases, it is necessary to replace these air quality models with source receptor relationships, to mimic in a faster way the link between emissions and concentrations. Source receptor relationships are therefore also used in Integrated Assessment Models, when scenario responses need to be known in very short time. The objective of this work is to present a novel approach to design a source receptor relationship for air quality modeling. Overall the proposed approach is shown to significantly reduce the number of simulations required for the training step and to bring flexibility in terms of emission source definition. A regional domain application is also presented, to test the performances of the proposed approach. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
机译:空气质量模型通常用于模拟排放情景如何影响大气中主要和次要污染物的浓度。在某些情况下,有必要用源受体关系代替这些空气质量模型,以便以更快的方式模拟排放物与浓度之间的联系。因此,当需要在非常短的时间内了解情景响应时,也可以在综合评估模型中使用源受体关系。这项工作的目的是提出一种新颖的方法来设计空气质量模型的源接收器关系。总体而言,所提出的方法显示出可以大大减少训练步骤所需的仿真次数,并在排放源定义方面带来灵活性。还介绍了一个区域域应用程序,以测试所提出方法的性能。 (C)2015作者。由Elsevier Ltd.发行。这是CC BY许可下的开放访问文章。

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