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- Publisher Website: 10.1016/j.jweia.2022.105116
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Article: Urban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods
| Title | Urban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods |
|---|---|
| Authors | |
| Keywords | CFD Doppler LiDAR High-density city Pedestrian level wind Urban ventilation Vertical wind speed profile |
| Issue Date | 1-Sep-2022 |
| Publisher | Elsevier |
| 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 Identifier | http://hdl.handle.net/10722/331747 |
| ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.305 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | He, Yueyang | - |
| dc.contributor.author | Yuan, Chao | - |
| dc.contributor.author | Ren, Chao | - |
| dc.contributor.author | Ng, Edward | - |
| dc.date.accessioned | 2023-09-21T06:58:34Z | - |
| dc.date.available | 2023-09-21T06:58:34Z | - |
| dc.date.issued | 2022-09-01 | - |
| dc.identifier.citation | Journal of Wind Engineering and Industrial Aerodynamics, 2022, v. 228 | - |
| dc.identifier.issn | 0167-6105 | - |
| dc.identifier.uri | http://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.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Journal of Wind Engineering and Industrial Aerodynamics | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | CFD | - |
| dc.subject | Doppler LiDAR | - |
| dc.subject | High-density city | - |
| dc.subject | Pedestrian level wind | - |
| dc.subject | Urban ventilation | - |
| dc.subject | Vertical wind speed profile | - |
| dc.title | Urban ventilation assessment with improved vertical wind profile in high-density cities – Comparisons between LiDAR and conventional methods | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.jweia.2022.105116 | - |
| dc.identifier.scopus | eid_2-s2.0-85136097091 | - |
| dc.identifier.volume | 228 | - |
| dc.identifier.isi | WOS:000879587600002 | - |
| dc.identifier.issnl | 0167-6105 | - |