Should we care about the level of detail in trees when running urban microscale simulations

Dados Bibliográficos

ID21233554
AutoresRunnan Fu (0000-0001-5559-6401, Delft University of Technology, autor correspondente), Ivan Pađen (0000-0002-2702-3689, Delft University of Technology), Clara García-Sánchez (0000-0002-5355-4272, Delft University of Technology)
Ano2024
Volume101
Páginas105143
Data de publicação2024-02-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainable Cities and Society (JOURNAL)
Identificadores do periódicoISSN: 2210-6707 • E-ISSN: 2210-6715
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2023.105143
OpenAlexW4390561478
IdiomaEN
Citações recebidas6
Referências citadas43

Due to lack of information and long geometry generation times, tree geometries are usually oversimplified or even ignored in Computational Fluid Dynamic (CFD) simulations that predict wind and pollutant dispersion in urban areas. Nevertheless, trees are known to impact local wind patterns and air quality levels. Thus, in this paper we explore the effects that tree models automatically reconstructed at diverse Level of Detail (LoD) (1, 2 and 3) have in numerical wind predictions. We address this by comparing the non-dimensional velocity magnitude differences between simulations with multiple tree LoDs. To further understand these differences in changing environmental contexts we use three morphologies: an isolated tree, an idealized street, canyon, and a real urban geometry from Rotterdam, The Netherlands The numerical results show that the velocity magnitude differences between the cases with LoD1 tree models and those with LoD2 tree models can be over 1.0 m/s while the differences between LoD2 and LoD3 cases are rather limited, usually lower than 0.2 m/s. Consequently, through this study we highlight the importance of using tree models in LoD2 or LoD3 at least for CFD simulations of wind flows in urban areas. To further support this conclusion we also analyze the impact of changing wind directions and tree Leaf Area Density (LAD) values in the impact of tree LoDs on wind. The differences found in this work linked to the level of realism in your tree models can support future studies where researchers want to make an informed choice

Air quality index · Canyon · Cartography · Computational fluid dynamics · Geography · Mechanics · Meteorology · Microscale chemistry · Physics · Wind speed · Computer Science · Environmental Science · Mathematics · Noise Effects and Management · Urban Heat Island Mitigation · Wind and Air Flow Studies