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Article: Urban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods

TitleUrban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods
Authors
KeywordsCFD
Doppler LiDAR
High-density city
Pedestrian level wind
Urban ventilation
Vertical wind speed profile
Issue Date1-Sep-2022
PublisherElsevier
Citation
Journal of Wind Engineering and Industrial Aerodynamics, 2022, v. 228 How to Cite?
Abstract

The vertical wind speed profile is crucial to urban ventilation assessment and urban planning/design. This study uses Light Detection and Ranging (LiDAR) observation as benchmark to evaluate accuracy of wind profiles estimated by conventional methods. The conventional methods include Boundary Layer Wind Tunnel (BLWT), Regional Atmospheric Modeling System (RAMS), Power Law (PL), and Weather Research and Forecasting (WRF). The evaluation involves two typical urban sites with different densities under summer weak-wind conditions. Large Eddie Simulations (LES) are conducted to further investigate the sensitivity of urban ventilation assessment results to the deviations of wind profiles. The results indicate significant deviations in LES caused by conventional methods. The largest deviations of wind velocity ratio are found in mesoscale meteorological models (RAMS and WRF (>65%)). Deviations caused by physical and empirical models are smaller but still significant (BLWT (>25%) and PL (>40%)). Consequently, large deviations (>100%) of wind-relevant criterion for outdoor thermal comfort are observed. Finally, to balance accuracy and data availability, we recommend power law method as the optimal method to provide inflow boundary condition for numerical simulations when LiDAR observation is not available. We provide new and valuable understandings to improve urban ventilation assessment in high-density cities.


Persistent Identifierhttp://hdl.handle.net/10722/331747
ISSN
2023 Impact Factor: 4.2
2023 SCImago Journal Rankings: 1.305
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHe, Yueyang-
dc.contributor.authorYuan, Chao-
dc.contributor.authorRen, Chao-
dc.contributor.authorNg, Edward-
dc.date.accessioned2023-09-21T06:58:34Z-
dc.date.available2023-09-21T06:58:34Z-
dc.date.issued2022-09-01-
dc.identifier.citationJournal of Wind Engineering and Industrial Aerodynamics, 2022, v. 228-
dc.identifier.issn0167-6105-
dc.identifier.urihttp://hdl.handle.net/10722/331747-
dc.description.abstract<p>The vertical wind speed profile is crucial to urban ventilation assessment and urban planning/design. This study uses <a href="https://www.sciencedirect.com/topics/engineering/light-detection-and-ranging" title="Learn more about Light Detection and Ranging from ScienceDirect's AI-generated Topic Pages">Light Detection and Ranging</a> (LiDAR) observation as benchmark to evaluate accuracy of wind profiles estimated by conventional methods. The conventional methods include Boundary Layer Wind <a href="https://www.sciencedirect.com/topics/engineering/tunnels" title="Learn more about Tunnel from ScienceDirect's AI-generated Topic Pages">Tunnel</a> (BLWT), Regional Atmospheric Modeling System (RAMS), Power Law (PL), and Weather Research and Forecasting (WRF). The evaluation involves two typical urban sites with different densities under summer weak-wind conditions. Large Eddie Simulations (LES) are conducted to further investigate the sensitivity of urban ventilation assessment results to the deviations of wind profiles. The results indicate significant deviations in LES caused by conventional methods. The largest deviations of wind velocity ratio are found in <a href="https://www.sciencedirect.com/topics/engineering/mesoscale" title="Learn more about mesoscale from ScienceDirect's AI-generated Topic Pages">mesoscale</a> meteorological models (RAMS and WRF (>65%)). Deviations caused by physical and empirical models are smaller but still significant (BLWT (>25%) and PL (>40%)). Consequently, large deviations (>100%) of wind-relevant criterion for outdoor thermal comfort are observed. Finally, to balance accuracy and data availability, we recommend power law method as the optimal method to provide <a href="https://www.sciencedirect.com/topics/engineering/inflow-boundary" title="Learn more about inflow boundary from ScienceDirect's AI-generated Topic Pages">inflow boundary</a> condition for numerical simulations when LiDAR observation is not available. We provide new and valuable understandings to improve urban ventilation assessment in high-density cities.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Wind Engineering and Industrial Aerodynamics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCFD-
dc.subjectDoppler LiDAR-
dc.subjectHigh-density city-
dc.subjectPedestrian level wind-
dc.subjectUrban ventilation-
dc.subjectVertical wind speed profile-
dc.titleUrban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods-
dc.typeArticle-
dc.identifier.doi10.1016/j.jweia.2022.105116-
dc.identifier.scopuseid_2-s2.0-85136097091-
dc.identifier.volume228-
dc.identifier.isiWOS:000879587600002-
dc.identifier.issnl0167-6105-

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