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- Publisher Website: 10.1016/j.uclim.2023.101569
- Scopus: eid_2-s2.0-85162082521
- WOS: WOS:001025731400001
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Article: Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind
Title | Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind |
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Authors | |
Keywords | Downscaling method On-site measurement validation Pedestrian level wind Urban context WRF-CFD model |
Issue Date | 9-Jun-2023 |
Publisher | Elsevier |
Citation | Urban Climate, 2023, v. 49 How to Cite? |
Abstract | Computational fluid dynamics (CFD) techniques are widely adopted for predicting pedestrian-level wind (PLW). However, the lack of on-site measurement data is the primary impediment to establishing a reliable inflow wind profile. We propose a downscaling method that enables accurate modeling of PLW without the need for on-site measurements. The downscaling method involves three stages of Weather Research and Forecasting (WRF)-CFD simulations conducted in Meteodyn software. The WRF model is utilized to generate a time series of mesoscale data of mesoscale cells covering the microscale domain. The microscale CFD model consists of two nested CFD models, a parametric model and a full-information model, to ensure a smooth transition of the downscaled information. The physical-statistics method is employed to couple the mesoscale and microscale wind flow information. The sensitivity of the 6 downscaled schemes with different configurations is evaluated. To eliminate the effects of high-rise buildings, 3 potential mesoscale data heights are examined as inputs for the CFD simulations. The accuracy of the proposed downscaling method is validated using long-term on-site measurement data. We recommend utilizing mesoscale data at a height of 200 m as an input to the CFD model for PLW modeling in complex urban environments. |
Persistent Identifier | http://hdl.handle.net/10722/338051 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, C | - |
dc.contributor.author | Yao, J | - |
dc.contributor.author | Fu, B | - |
dc.contributor.author | Calautit, JK | - |
dc.contributor.author | Zhao, C | - |
dc.contributor.author | Huang, J | - |
dc.contributor.author | Ban, Q | - |
dc.date.accessioned | 2024-03-11T10:25:52Z | - |
dc.date.available | 2024-03-11T10:25:52Z | - |
dc.date.issued | 2023-06-09 | - |
dc.identifier.citation | Urban Climate, 2023, v. 49 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338051 | - |
dc.description.abstract | Computational fluid dynamics (CFD) techniques are widely adopted for predicting pedestrian-level wind (PLW). However, the lack of on-site measurement data is the primary impediment to establishing a reliable inflow wind profile. We propose a downscaling method that enables accurate modeling of PLW without the need for on-site measurements. The downscaling method involves three stages of Weather Research and Forecasting (WRF)-CFD simulations conducted in Meteodyn software. The WRF model is utilized to generate a time series of mesoscale data of mesoscale cells covering the microscale domain. The microscale CFD model consists of two nested CFD models, a parametric model and a full-information model, to ensure a smooth transition of the downscaled information. The physical-statistics method is employed to couple the mesoscale and microscale wind flow information. The sensitivity of the 6 downscaled schemes with different configurations is evaluated. To eliminate the effects of high-rise buildings, 3 potential mesoscale data heights are examined as inputs for the CFD simulations. The accuracy of the proposed downscaling method is validated using long-term on-site measurement data. We recommend utilizing mesoscale data at a height of 200 m as an input to the CFD model for PLW modeling in complex urban environments. | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Urban Climate | - |
dc.subject | Downscaling method | - |
dc.subject | On-site measurement validation | - |
dc.subject | Pedestrian level wind | - |
dc.subject | Urban context | - |
dc.subject | WRF-CFD model | - |
dc.title | Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.uclim.2023.101569 | - |
dc.identifier.scopus | eid_2-s2.0-85162082521 | - |
dc.identifier.volume | 49 | - |
dc.identifier.eissn | 2212-0955 | - |
dc.identifier.isi | WOS:001025731400001 | - |
dc.identifier.issnl | 2212-0955 | - |