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Prioritising the sources of pollution in European cities: do air quality modelling applications provide consistent responses?

机译：优先考虑欧洲城市的污染源：空气质量建模应用提供一致的反应吗？

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To take decisions on how to improve air quality, it is useful to perform a source allocation study that identifies the main sources of pollution for the area of interest. Often source allocation is performed with a chemical transport model (CTM) but unfortunately, even if accurate, this technique is time consuming and complex. Comparing the results of different CTMs to assess the uncertainty of source allocation results is even more difficult. In this work, we compare the source allocation (for PM2.5 yearly averages) in 150 major cities in Europe, based on the results of two CTMs (CHIMERE and EMEP), approximated with the SHERPA (Screening for High Emission Reduction Potential on Air) approach. Although contradictory results occur in some cities, the source allocation results obtained with the two SHERPA simplified models lead to similar results in most cases, even though the two CTMs use different input data and configurations.
机译：要采取决定如何提高空气质量，执行源分配研究是有用的，该研究确定了兴趣领域的主要污染源来源。通过化学传输模型（CTM）进行源分配，但不幸的是，即使准确，这种技术也是耗时和复杂的。比较不同CTM的结果以评估源分配结果的不确定性更加困难。在这项工作中，根据两个CTMS（Chimere和EMEP）的结果，比较欧洲的150个主要城市的来源分配（用于PM2.5年度平均值），与Sherpa近似（筛选空气中的高排放减少电位） 方法。虽然在某些城市发生矛盾的结果，但在大多数情况下，使用两种Sherpa简化模型获得的源分配结果导致了类似的结果，即使两个CTMS使用不同的输入数据和配置，也是如此。

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