Numerical simulations on the 120‐m resolution wind field in a non‐uniform urban canopy layer with a land cover classification and canopy porous medium‐based drag model

Abstract The wind field in urban canopy layers (UCLs) was of wide concern in air pollution and urban climate studies. If each building would be specifically depicted in modelling the wind field in a non‐uniform UCL, the computational task would be excessively large. Thus, methods for urban wind field simulations with reasonable horizontal resolutions and computational tasks are urgently required. In the current work, a non‐uniform UCL model was proposed with the land cover classified by local climate zones (LCZs) and wind drag calculated by a porous media model (PMM). With the proposed non‐uniform UCL model, the wind field within the UCL of Xi'an, China, was simulated with a grid spacing of 120 m horizontally and 1–3 m vertically. Simulations revealed that the wind field within the UCL was weakened with large‐scale vortices observed in areas with higher canopy height (LCZs 1 and 4), which was unfavourable for the outward diffusion of pollutants and waste heat. The height of the roughness sublayer for a non‐uniform UCL would be approximately six times the maximum urban canopy height. Airflows were dominated by ejection events within the canopy and sweep events above the canopy. The results revealed that the proposed non‐uniform UCL model based on LCZ and PMM was reasonable for wind field simulations with lower computational tasks and higher accuracy (120 m horizontally) to reveal the spatial distribution characteristics of the wind field within the UCL.

Authors

Institutions

Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2025-10-26
DOI
https://doi.org/10.1002/qj.70065
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulations on the 120‐m resolution wind field in a non‐uniform urban canopy layer with a land cover classification and canopy porous medium‐based drag model

Junwei Su, Zipeng Dong, Zhaolin Gu, Haiyan Miao et al.
Quarterly Journal of the Royal Meteorological Society
Wind and Air Flow Studies
article

Numerical simulations on the 120‐m resolution wind field in a non‐uniform urban canopy layer with a land cover classification and canopy porous medium‐based drag model

Junwei Su, Zipeng Dong, Zhaolin Gu, Haiyan Miao, Wen Xu, LI Xing-min, Yang Pan, Yunwei Zhang, Yunqiang Wang, Nafu Qima
article en

Abstract

Abstract The wind field in urban canopy layers (UCLs) was of wide concern in air pollution and urban climate studies. If each building would be specifically depicted in modelling the wind field in a non‐uniform UCL, the computational task would be excessively large. Thus, methods for urban wind field simulations with reasonable horizontal resolutions and computational tasks are urgently required. In the current work, a non‐uniform UCL model was proposed with the land cover classified by local climate zones (LCZs) and wind drag calculated by a porous media model (PMM). With the proposed non‐uniform UCL model, the wind field within the UCL of Xi'an, China, was simulated with a grid spacing of 120 m horizontally and 1–3 m vertically. Simulations revealed that the wind field within the UCL was weakened with large‐scale vortices observed in areas with higher canopy height (LCZs 1 and 4), which was unfavourable for the outward diffusion of pollutants and waste heat. The height of the roughness sublayer for a non‐uniform UCL would be approximately six times the maximum urban canopy height. Airflows were dominated by ejection events within the canopy and sweep events above the canopy. The results revealed that the proposed non‐uniform UCL model based on LCZ and PMM was reasonable for wind field simulations with lower computational tasks and higher accuracy (120 m horizontally) to reveal the spatial distribution characteristics of the wind field within the UCL.

Quarterly Journal of the Royal Meteorological SocietyVol. 152(775)
University of Huddersfield (GB), Shaanxi Provincial Meteorological Bureau (CN), Xi'an University of Technology (CN), China XD Group (China) (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 72%
Wind and Air Flow Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.