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DOI | 10.1016/j.atmosenv.2021.118816 |
High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece | |
Kontos S.; Papadogiannaki S.; Parliari D.; Steiner A.L.; Melas D. | |
发表日期 | 2022 |
ISSN | 1352-2310 |
卷号 | 268 |
英文摘要 | In this study a high resolution modeling system is developed to simulate Quercus pollen concentrations in the greater area of Thessaloniki, Greece, under an a priori oak phenological season. The modeling system consists of three models in series, the Weather Research and Forecasting (WRF) meteorological model, the natural emissions model NEMO for Quercus pollen emissions and the chemistry-transport model CAMx. The modeling system is evaluated with daily meteorological and pollen measurements during the phenological season of 2016 of Quercus taxa. The modeling system's performance is satisfactory on both meteorology and Quercus pollen concentrations, although for the latter the relative uncertainty is slightly above the 50% criterion usually applied in air quality modeling. Additional analysis was performed on three parameters related to pollen emissions, namely the assigned pollen production, the spread of the phenology and the assigned diameter. The analysis shows that the greatest impact on Quercus pollen concentrations, on both near the sources as well at remote areas, is the assigned pollen production, followed by the spread and the assigned diameter. © 2021 Elsevier Ltd |
关键词 | CAMxNatural emissionsNEMOPollenQuercusWRF |
语种 | 英语 |
scopus关键词 | Air quality; Uncertainty analysis; CAMx; Eulerian models; High-resolution models; Modelling systems; Natural emissions; NEMO; Pollen; Pollen production; Quercus; Weather research and forecasting; Weather forecasting; air quality; concentration (composition); deciduous tree; Eulerian analysis; phenology; pollen; weather forecasting; advection; air quality; air temperature; Article; atmospheric deposition; case study; controlled study; evaluation study; field emission; Greece; meteorology; nonhuman; oak; phenology; pollen; pollen analysis; prediction; Quercus petraea; Quercus robur; relative humidity; season; simulation; surface property; wind speed; Central Macedonia; Greece; Thessaloniki [Central Macedonia]; Quercus |
来源期刊 | ATMOSPHERIC ENVIRONMENT |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248155 |
作者单位 | Aristotle University of Thessaloniki, Department of Physics, Laboratory of Atmospheric Physics, Thessaloniki, 54124, Greece; Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48109, United States |
推荐引用方式 GB/T 7714 | Kontos S.,Papadogiannaki S.,Parliari D.,et al. High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece[J],2022,268. |
APA | Kontos S.,Papadogiannaki S.,Parliari D.,Steiner A.L.,&Melas D..(2022).High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece.ATMOSPHERIC ENVIRONMENT,268. |
MLA | Kontos S.,et al."High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece".ATMOSPHERIC ENVIRONMENT 268(2022). |
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