journal article·2025-12-30Open access

LIDAR Observation and Numerical Simulation of Building-Induced Airflow Disturbances and Their Potential Impact on Aircraft Operation at an Operating Airport

Ka Wai Lo, Pak Wai Chan, Ping Cheung, Kai Kwong Lai, You Dong

Applied Sciences· Volume 16· Issue 1

Abstract

Observations of building-induced airflow disturbances arising from the new terminal building at the Hong Kong International Airport (HKIA) are documented in this paper. Two case studies are conducted: one involving turbulent flow downstream of the building and another involving a coherent “building-induced wave”. To capture these phenomena under realistic atmospheric forcing, we employ a coupled mesoscale–computational fluid dynamics modelling system. This approach integrates mesoscale boundary-layer conditions with building-resolving simulations for real airport disturbance analysis. The main features of the actual observation are largely captured by the simulations. As such, the simulated data are studied to find out the reason for the difference in the airflow behavior. The difference could be related to the stability of the “background” atmospheric boundary layer. This stability is influenced by a number of complicated factors, including the background mesoscale atmospheric stability, Foehn effect of the terrain, and solar heating of the sea/land surface. The study further discusses potential implications for runway operations using aviation-relevant indicators, including the 7-knot criterion and turbulence intensity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Wind and Air Flow Studies · Meteorological Phenomena and Simulations · Fluid Dynamics and Turbulent Flows

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong, China

Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China

References (34)

Show source-provided references
1. Unsteady Dynamics and Organized Structures from DNS over an Idealized Building Canopy10.1002/joc.1549 ↗
2. Wake Characteristics of Tall Buildings in a Realistic Urban Canopy10.1007/s10546-019-00450-7 ↗
3. Yeo, H., and Lee, S. (2023). Impact of Heterogeneous Building Arrangement on Local Turbulence Escalation. Build. Environ., 236.10.1016/j.buildenv.2023.110217 ↗
4. Southgate-Ash, C., Mishra, A., Grimmond, S., Robins, A., and Placidi, M. (2025). Wake Characteristics of Multiscale Buildings in a Turbulent Boundary Layer. Bound. Layer Meteorol., 191.10.1007/s10546-025-00910-3 ↗
5. Large-Eddy Simulations of Stability-Varying Atmospheric Boundary Layer Flow over Isolated Buildings10.1175/JAS-D-20-0160.1 ↗
6. A Wind Tunnel Study of Organised and Turbulent Air Motions in Urban Street Canyons10.1016/S0167-6105(01)00074-5 ↗
7. Wind Tunnel Measurements of Pollutant Turbulent Fluxes in Urban Intersections10.1016/j.atmosenv.2011.09.083 ↗
8. Li, W., Mak, C.M., Cai, C., Fu, Y., Tse, K.T., and Niu, J. (2024). Wind Tunnel Measurement of Pedestrian-Level Gust Wind Flow and Comfort around Irregular Lift-up Buildings Within Simplified Urban Arrays. Build. Environ., 256.10.1016/j.buildenv.2024.111487 ↗
9. Hadane, A., Redford, J.A., Gueguin, M., Hafid, F., and Ghidaglia, J.-M. (2023). CFD Wind Tunnel Investigation for Wind Loading on Angle Members in Lattice Tower Structures. J. Wind Eng. Ind. Aerodyn., 236.10.1016/j.jweia.2023.105397 ↗
10. Tominaga, Y. (2024). CFD Simulations of Turbulent Flow and Dispersion in Built Environment: A Perspective Review. J. Wind Eng. Ind. Aerodyn., 249.10.1016/j.jweia.2024.105741 ↗
11. Pedestrian Wind Comfort near a Super-Tall Building with Various Configurations in an Urban-like Setting10.1007/s12273-020-0658-6 ↗
12. Nieuwpoort, A.M.H., Gooden, J.H.M., and de Prins, J.L. (2010). Wind Criteria Due to Obstacles at and Around Airports, National Aerospace Laboratory NLR.
13. Generation of an Eddy Dissipation Rate Map at the Hong Kong International Airport Based on Doppler Lidar Data10.1175/2010JTECHA1458.1 ↗
14. Airport Low-Level Wind Shear Lidar Observation at Beijing Capital International Airport10.1016/j.infrared.2018.07.033 ↗
15. Wind Shear over the Nice Côte d’Azur Airport: Case Studies10.5194/nhess-13-2223-2013 ↗
16. Low-Level Wind Shear Induced by Horizontal Roll Vortices at Narita International Airport, Japan10.2151/jmsj.2019-023 ↗
17. Numerical Simulations of Wind Measurements at Amsterdam Airport Schiphol10.1016/S0167-6105(03)00079-5 ↗
18. CFD Simulations of the Wind Environment around an Airport Terminal Building10.1016/j.envsoft.2004.08.011 ↗
19. Numerical Simulation Study of the Effect of Buildings and Complex Terrain on the Low-Level Winds at an Airport in Typhoon Situation10.1127/0941-2948/2012/0252 ↗
20. Simulation of Building-Induced Airflow Disturbances in Complex Terrain Using Meteorological-CFD Coupled Model10.1127/metz/2022/1129 ↗
21. General circulation experiments with the primitive equations: I. The basic experiment10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2 ↗
22. Stratocumulus-Capped Mixed Layers Derived from a Three-Dimensional Model10.1007/BF00119502 ↗
23. Maronga, B., Banzhaf, S., Burmeister, C., Esch, T., Forkel, R., Fröhlich, D., Fuka, V., Gehrke, K.F., Geletič, J., and Giersch, S. (2020). Overview of the PALM Model System 6.0, Copernicus Publications.10.5194/gmd-13-1335-2020 ↗
24. PALM—A Large-Eddy Simulation Model Performing on Massively Parallel Computers10.1127/0941-2948/2001/0010-0363 ↗
25. The Parallelized Large-Eddy Simulation Model (PALM) Version 4.0 for Atmospheric and Oceanic Flows: Model Formulation, Recent Developments, and Future Perspectives10.5194/gmd-8-2515-2015 ↗
26. Žuvela-Aloise, M., Hahn, C., and Hollósi, B. (2025). Evaluation of City-Scale PALM Model Simulations and Intra-Urban Thermal Variability in Vienna, Austria Using Operational and Crowdsourced Data. Urban Clim., 59.10.1016/j.uclim.2024.102245 ↗
27. Evaluation of the Dynamic Core of the PALM Model System 6.0 in a Neutrally Stratified Urban Environment: Comparison between LES and Wind-Tunnel Experiments10.5194/gmd-14-3317-2021 ↗
28. Validation of the PALM Model System 6.0 in a Real Urban Environment: A Case Study in Dejvice, Prague, the Czech Republic10.5194/gmd-14-4797-2021 ↗
29. Time-Splitting Methods for Elastic Models Using Forward Time Schemes10.1175/1520-0493(2002)130<2088:TSMFEM>2.0.CO;2 ↗
30. Low-Storage Runge-Kutta Schemes10.1016/0021-9991(80)90033-9 ↗
31. Efficient Generation of Inflow Conditions for Large Eddy Simulation of Street-Scale Flows10.1007/s10494-008-9151-5 ↗
32. Divergence-Free Turbulence Inflow Conditions for Large-Eddy Simulations with Incompressible Flow Solvers10.1016/j.compfluid.2013.06.001 ↗
33. Observation and Numerical Simulation of Terrain-Induced Airflow Leading to Low Level Windshear at the Hong Kong International Airport Based on Range-Height-Indicator Scans of a LIDAR10.1127/metz/2024/1221 ↗
34. Chan, P., Cheung, P., Chong, M., and Lai, K. (2025). New Observations of Airflow at Hong Kong International Airport by Range Height Indicator (RHI) Scans of LIDARs and Their Numerical Simulation. Appl. Sci., 15.10.3390/app15179655 ↗