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Simple atmospheric dispersion model to estimate hourly ground-level nitrogen dioxide and ozone concentrations at urban scale

机译:简单的大气弥散模型可估算城市规模的每小时地面二氧化氮和臭氧浓度

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摘要

Atmospheric nitrogen dioxide (NO2) and ozone (O-3) present potential health risk at large urban centres worldwide. Modelling their ground-level concentrations is a fundamental part of urban air quality assessment studies. Simple atmospheric dispersion models are particularly useful in places lacking detailed input data to run complex models and for applications requiring a large number of simulations, also allowing high spatial and temporal resolution even for long-term calculations. The DAUMOD-GRS urban atmospheric dispersion model has been developed aiming to have these features. This work presents its performance evaluation considering hourly concentrations of NO2 and O-3 measured at twenty sites across the Metropolitan Area of Buenos Aires (MABA), Argentina. Results show an acceptable model performance, with a small tendency to underestimate NO2 and to overestimate O-3. By grouping the monitoring sites in regions having different emission conditions, it is found that the model reproduces well the observed urban-suburban concentration gradients. (C) 2014 Elsevier Ltd. All rights reserved.
机译:大气中的二氧化氮(NO2)和臭氧(O-3)在全球大型城市中心都存在潜在的健康风险。对它们的地面浓度进行建模是城市空气质量评估研究的基本组成部分。在缺乏详细输入数据以运行复杂模型的地方以及需要大量仿真的应用中,简单的大气弥散模型特别有用,即使在长期计算中,也可以提供较高的时空分辨率。 DAUMOD-GRS城市大气扩散模型就是针对这些特征而开发的。这项工作提出了其性能评估,其中考虑了在阿根廷布宜诺斯艾利斯大都会地区(MABA)的二十个站点测得的每小时NO2和O-3浓度。结果显示了可接受的模型性能,有低估NO2和高估O-3的趋势。通过对排放条件不同地区的监测点进行分组,发现该模型很好地再现了观测到的城市-郊区浓度梯度。 (C)2014 Elsevier Ltd.保留所有权利。

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