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Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation
Atmospheric Environment ( IF 4.2 ) Pub Date : 2021-07-21 , DOI: 10.1016/j.atmosenv.2021.118631
Lise Marie Frohn 1 , Matthias Ketzel 1, 2 , Jesper Heile Christensen 1 , Jørgen Brandt 1, 3 , Ulas Im 1, 3 , Andreas Massling 1, 3 , Christopher Andersen 1, 4 , Marlene Schmidt Plejdrup 1 , Ole-Kenneth Nielsen 1 , Hugo Denier van der Gon 5 , Astrid Manders-Groot 5 , Ole Raaschou-Nielsen 1, 6
Affiliation  

The integrated model system DEHM/UBM/AirGIS, developed at Aarhus University, Department of Environmental Science, has been extended with the dynamic aerosol module M7 to account for particle number concentrations of particles with diameters below 1 μm in the atmosphere. The aim of this development is to quantify the spatial and temporal distribution of particle number concentration across Denmark and evaluate the results with available measurements. This article presents model results for particle number concentrations from the regional scale model DEHM and the urban scale model UBM, for comparison with measurements of particle number concentrations from European and Danish measurement stations. The deterministic modelling of particle number concentration has been vitiated by the lack of consistency between emission inventories, and the evaluation of the models is challenged by the lack of consistent long-term measurements data. The performance evaluation of the DEHM and UBM models shows that both models overestimate the level of the particle number concentrations at all stations, however, the results for the correlation coefficients are 0.86 for DEHM and in the range from 0.86 to 0.87, for UBM, for annual mean particle number concentrations at Danish measurement stations. We conclude that the inclusion of particle number concentration in DEHM and UBM shows some capability of reproducing observed patterns, when comparing the results of the models with available measurements, but that there is also room for improvement, especially with respect to the emission inventories and preprocessing of emissions and to the treatment of volatile organic compounds based on natural emissions during summer time.



中文翻译:

1979 年至 2018 年丹麦在地址分辨率下对超细颗粒数浓度进行建模——第 1 部分:区域和城市尺度建模与评估

由奥胡斯大学环境科学系开发的集成模型系统 DEHM/UBM/AirGIS 已通过动态气溶胶模块 M7 进行扩展,以解释大气中直径小于 1 μm 的粒子的粒子数浓度。这一发展的目的是量化整个丹麦粒子数浓度的空间和时间分布,并用可用的测量来评估结果。本文介绍了区域尺度模型 DEHM 和城市尺度模型 UBM 的粒子数浓度模型结果,以与欧洲和丹麦测量站的粒子数浓度测量值进行比较。由于排放清单之间缺乏一致性,粒子数浓度的确定性建模已失效,并且由于缺乏一致的长期测量数据,模型的评估受到挑战。DEHM 和 UBM 模型的性能评估表明,这两个模型都高估了所有站点的粒子数浓度水平,但是,DEHM 的相关系数结果为 0.86,UBM 的相关系数在 0.86 到 0.87 的范围内,对于丹麦测量站的年平均粒子数浓度。我们得出的结论是,在将模型结果与可用测量值进行比较时,在 DEHM 和 UBM 中包含粒子数浓度显示了一些再现观察模式的能力,但也有改进的空间,

更新日期:2021-08-27
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