Computational fluid dynamics simulation of tree effects on pedestrian wind comfort in an urban area. (May 2020)
- Record Type:
- Journal Article
- Title:
- Computational fluid dynamics simulation of tree effects on pedestrian wind comfort in an urban area. (May 2020)
- Main Title:
- Computational fluid dynamics simulation of tree effects on pedestrian wind comfort in an urban area
- Authors:
- Kang, Geon
Kim, Jae-Jin
Choi, Wonsik - Abstract:
- Highlights: A CFD model successfully reproduced the previous field measurement results. Pedestrian wind comfort was investigated both in the presence and absence of trees using the CFD model. Poor wind comfort was simulated mainly beside buildings and over unobstructed wide surfaces. Wind comfort inside the target area was overall improved by wind speed reduction due to tree drag. Abstract: In this study, we applied a computational fluid dynamics (CFD) model incorporating a tree drag parameterization scheme to investigate how the presence of trees improved pedestrian wind comfort on the urban campus of Pukyong National University (PKNU). We comprehensively analyzed pedestrian wind comfort considering wind inflow direction and observed frequency. To validate the CFD model, we conducted sensitivity simulations by varying the vertical profiles of leaf area density (LAD) and compared our CFD simulations with previous field measurements and simulation results. The adjusted LAD profile yielded the best reproduction of measured wind speeds and turbulent kinetic energy behind trees, demonstrating performance similar to that of a large-eddy simulation (LES) model. We applied the CFD model to investigate the effect of trees on pedestrian wind comfort on the PKNU campus. Trees markedly improved pedestrian wind comfort when horizontally incoming airflow passed through the trees; however, there was little improvement in pedestrian wind comfort in regions where airflow rapidly descendedHighlights: A CFD model successfully reproduced the previous field measurement results. Pedestrian wind comfort was investigated both in the presence and absence of trees using the CFD model. Poor wind comfort was simulated mainly beside buildings and over unobstructed wide surfaces. Wind comfort inside the target area was overall improved by wind speed reduction due to tree drag. Abstract: In this study, we applied a computational fluid dynamics (CFD) model incorporating a tree drag parameterization scheme to investigate how the presence of trees improved pedestrian wind comfort on the urban campus of Pukyong National University (PKNU). We comprehensively analyzed pedestrian wind comfort considering wind inflow direction and observed frequency. To validate the CFD model, we conducted sensitivity simulations by varying the vertical profiles of leaf area density (LAD) and compared our CFD simulations with previous field measurements and simulation results. The adjusted LAD profile yielded the best reproduction of measured wind speeds and turbulent kinetic energy behind trees, demonstrating performance similar to that of a large-eddy simulation (LES) model. We applied the CFD model to investigate the effect of trees on pedestrian wind comfort on the PKNU campus. Trees markedly improved pedestrian wind comfort when horizontally incoming airflow passed through the trees; however, there was little improvement in pedestrian wind comfort in regions where airflow rapidly descended the walls of tall buildings. … (more)
- Is Part Of:
- Sustainable cities and society. Volume 56(2020)
- Journal:
- Sustainable cities and society
- Issue:
- Volume 56(2020)
- Issue Display:
- Volume 56, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 56
- Issue:
- 2020
- Issue Sort Value:
- 2020-0056-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Beaufort wind-force scale -- CFD model -- Pedestrian wind comfort -- Tree drag parameterization -- Urban area
Sustainable urban development -- Periodicals
Sustainable buildings -- Periodicals
Urban ecology (Sociology) -- Periodicals
307.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22106707/ ↗
http://www.sciencedirect.com/ ↗
http://www.journals.elsevier.com/sustainable-cities-and-society ↗ - DOI:
- 10.1016/j.scs.2020.102086 ↗
- Languages:
- English
- ISSNs:
- 2210-6707
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13555.xml