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通过建模和FAIRMODE基准测试方法评估欧盟空气质量标准。

Evaluation of EU air quality standards through modeling and the FAIRMODE benchmarking methodology.

作者信息

Kushta Jonilda, Georgiou Georgios K, Proestos Yiannis, Christoudias Theodoros, Thunis Philippe, Savvides Chrysanthos, Papadopoulos Christos, Lelieveld Jos

机构信息

1Energy, Environment and Water Research Centre (EEWRC), The Cyprus Institute, 20 Konstantinou Kavafi Street, Aglantzia, 2121 Nicosia, Cyprus.

2Computation-based Science and Technology Research Centre (CaSToRC), The Cyprus Institute, 2121 Nicosia, Cyprus.

出版信息

Air Qual Atmos Health. 2019;12(1):73-86. doi: 10.1007/s11869-018-0631-z. Epub 2018 Oct 24.

Abstract

We evaluate air quality modeling over the East Mediterranean using the benchmarking methodology developed in the framework of the Forum for Air Quality Modelling in Europe (FAIRMODE). FAIRMODE aims to provide a harmonized approach of model evaluation for regulatory purposes. We test the methodology by assessing the performance of the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) against ground-based air quality observations over Cyprus, a member state of the European Union. Two nested domains are used (at 50- and 10-km horizontal grid spacing) with the comparison performed over the innermost domain. We consider performance indicators reflecting regulations for air quality standards (maximum daily 8-hourly mean ozone, hourly nitrogen dioxide, and daily fine particulate matter concentrations). The WRF-Chem model is found to satisfy the proposed performance objectives regarding ozone and NO, though it underestimates the latter in urban areas possibly due to uncertainties in emission inventories. Fine particulate matter is well represented by the model, except on days with strong influence from natural sources, highlighting the necessity for fine-tuning dust mobilization and transport in the region. The objectives are fulfilled even though discrepancies exist between model and observations. Our results indicate the need for more stringent performance criteria at relatively low concentrations. Overall, we find that the methodology provides in-depth information and relevant statistical metrics to guide air quality and model assessments for monitoring compliance with the EU Air Quality Directives and other guidelines to limit the impact of air pollution on human health and ecosystems.

摘要

我们使用在欧洲空气质量建模论坛(FAIRMODE)框架内开发的基准测试方法,对东地中海地区的空气质量建模进行评估。FAIRMODE旨在为监管目的提供一种统一的模型评估方法。我们通过评估天气研究与预报模型与化学模型耦合(WRF-Chem)相对于欧盟成员国塞浦路斯的地面空气质量观测数据的性能,来测试该方法。使用了两个嵌套区域(水平网格间距分别为50公里和10公里),并在最内层区域进行比较。我们考虑反映空气质量标准法规的性能指标(每日最大8小时平均臭氧、每小时二氧化氮以及每日细颗粒物浓度)。发现WRF-Chem模型在臭氧和二氧化氮方面满足提议的性能目标,不过在城市地区可能由于排放清单的不确定性而低估了二氧化氮。除了受自然源强烈影响的日子外,该模型对细颗粒物的表现良好,这突出了在该地区微调沙尘移动和传输的必要性。尽管模型与观测数据之间存在差异,但目标仍得以实现。我们的结果表明在相对较低浓度下需要更严格的性能标准。总体而言,我们发现该方法提供了深入信息和相关统计指标,以指导空气质量和模型评估,从而监测是否符合欧盟空气质量指令及其他限制空气污染对人类健康和生态系统影响的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c27/6327007/35efa563b59d/11869_2018_631_Fig1_HTML.jpg

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