Influence of tree crown characteristics on the local PM₁₀ distribution inside an urban street canyon in Antwerp (Belgium): A model and experimental approach

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• 作者：Jelle Hofman^a ; ^{Jelle.Hofman@uantwerpen.be} ; Harm Bartholomeus^b ; Stijn Janssen^c ; Kim Calders^d ; ^e ; Karen Wuyts^a ; Shari Van Wittenberghe^a ; ¹ ; Roeland Samson^a
• 关键词：Air pollution ; Atmospheric modelling ; Light detection and ranging (LiDAR) ; Leaf deposition ; Leaf area density (LAD) ; Particle size fraction ; Particulate matter (PM) ; Tree crown ; Urban green
• 刊名：Urban Forestry & Urban Greening
• 出版年：2016
• 出版时间：1 December 2016
• 年：2016
• 卷：20
• 期：Complete
• 页码：265-276
• 全文大小：4440 K
• 卷排序：20

文摘

Apart from influencing the amount of leaf-deposited particles, tree crown morphology will influence the local distribution of atmospheric particles. Nevertheless, tree crowns are often represented very rudimentary in three-dimensional air quality models. Therefore, the influence of tree crown representation on the local ambient PM10 concentration and resulting leaf-deposited PM10 mass was evaluated, using the three-dimensional computational fluid dynamics (CFD) model ENVI-met® and ground-based LiDAR imaging. The modelled leaf-deposited PM10 mass was compared to gravimetric results within three different particle size fractions (0.2–3, 3–10 and >10 μm), obtained at 20 locations within the tree crown. Modelling of the LiDAR-derived tree crown resulted in altered atmospheric PM10 concentrations in the vicinity of the tree crown. Although this model study was limited to a single tree and model configuration, our results demonstrate that improving tree crown characteristics (shape, dimensions and LAD) affects the resulting local PM10 distribution in ENVI-met. An accurate tree crown representation seems, therefore, of great importance when aiming at modelling the local PM distribution.