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DOI | 10.1016/j.atmosenv.2021.118631 |
Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation | |
Frohn L.M.; Ketzel M.; Christensen J.H.; Brandt J.; Im U.; Massling A.; Andersen C.; Plejdrup M.S.; Nielsen O.-K.; Gon H.D.V.D.; Manders-Groot A.; Raaschou-Nielsen O. | |
发表日期 | 2021 |
ISSN | 1352-2310 |
卷号 | 264 |
英文摘要 | 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. © 2021 The Authors |
关键词 | Air pollution modellingParticle dynamicsUltrafine particles |
语种 | 英语 |
scopus关键词 | Volatile organic compounds; Address resolution; Air Pollution Modeling; Denmark; Emission inventories; Particle dynamics; Particle number concentration; Regional scale; Ultrafine particle; Ultrafine particle number; Urban scale models; Air pollution; volatile organic compound; aerosol; concentration (composition); correlation; data processing; integrated approach; measurement method; particle size; particulate matter; spatial distribution; temporal distribution; air pollution; Article; correlation coefficient; Denmark; measurement; ultrafine particulate matter; Aarhus [Denmark]; Denmark |
来源期刊 | ATMOSPHERIC ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248244 |
作者单位 | Department of Environmental Sciences, Aarhus University, Denmark; TNO, P.O. Box 80015, Utrecht, 3508TA, Netherlands; Danish Cancer Society Research Center, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom; iClimate – interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark |
推荐引用方式 GB/T 7714 | Frohn L.M.,Ketzel M.,Christensen J.H.,等. Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation[J],2021,264. |
APA | Frohn L.M..,Ketzel M..,Christensen J.H..,Brandt J..,Im U..,...&Raaschou-Nielsen O..(2021).Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation.ATMOSPHERIC ENVIRONMENT,264. |
MLA | Frohn L.M.,et al."Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation".ATMOSPHERIC ENVIRONMENT 264(2021). |
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