THE IMPACT OF BUILDING GEOMETRY AND ORIENTATION ON AIRFLOW PATTERNS AND VENTILATION EFFICIENCY IN RESIDENTIAL URBAN ENVIRONMENTS: A NUMERICAL STUDY
DOI:
https://doi.org/10.37943/XTXY2261%20Keywords:
air pollution, ecology, modeling, Navier-Stokes, finite difference method, numerical modeling, projection methodAbstract
Air pollution remains a major health concern in urban areas, where building density and layout strongly influence airflow and natural ventilation. While many studies focus on pollutant concentrations and emission sources, fewer examine how building geometry affects the formation of low-velocity zones. This study investigates the influence of building shape and arrangement on ventilation efficiency using two-dimensional numerical modelling. The incompressible Navier–Stokes equations are solved in Python using the projection method on uniform finite-difference grids.
Before analysing the main residential layouts, a test case was performed for two identical domains. In the second domain, the square buildings were rotated by 45°. The results showed that building orientation changes both peak velocity and the extent of low-velocity regions.
Three residential configurations were then examined. Case 1 included L-shaped and rectangular buildings on a 501×501 grid, Case 2 contained only rectangular buildings on the same grid, and Case 3 included diamond-shaped and square buildings on a 301×301 grid. Case 2 showed the smallest low-velocity area (11.1%) and the highest mean air velocity (1.101 m/s), corresponding to a 45% reduction in low-velocity area and a 48% increase in mean velocity compared with Case 1 (20.2%, 0.745 m/s). In Case 3, the diagonal orientation caused local flow acceleration, but the low-velocity fraction remained high at 20.6%.
Overall, the results show that building arrangement has a strong effect on horizontal airflow distribution. They also indicate that peak velocity alone is not sufficient to assess ventilation quality. The proposed two-dimensional approach can therefore be used as an initial screening tool for comparing alternative residential layouts before more detailed three-dimensional simulations are carried out.
References
Health Effects Institute. (2025). State of Global Air 2025: A report on air pollution and its role in the world’s leading causes of death. https://www.stateofglobalair.org/resources/report/state-global-air-report-2025
European Environment Agency. (2025). Air pollution. https://www.eea.europa.eu/en/analysis/publications/air-quality-status-report-2025
European Environment Agency. (2025). Harm to human health from air pollution in Europe: Burden of disease status 2025 (EEA Report). https://www.eea.europa.eu/en/analysis/publications/harm-to-human-health-from-air-pollution-burden-of-disease-status-2025
Ganguly, T., Selvaraj, K. L., & Guttikunda, S. K. (2020). National Clean Air Programme (NCAP) for Indian cities: Review and outlook of clean air action plans. Atmospheric Environment: X, 8, Article 100096. https://doi.org/10.1016/j.aeaoa.2020.100096
European Commission. (2025, March 6). EU advancing on 2030 zero pollution targets, but stronger action is needed. EU Reporter. https://www.eea.europa.eu/en/newsroom/news/eu-advancing-on-2030-zero-pollution-targets-but-stronger-action-is-needed
State Council Information Office of the People’s Republic of China. (2018, March 23). China’s actions on air pollution prevention and control. http://english.scio.gov.cn/m/featured/chinakeywords/2023-03/20/content_85178625.htm
U.S. Environmental Protection Agency. (n.d.). Summary of the Clean Air Act. https://www.epa.gov/laws-regulations/summary-clean-air-act
Government of Japan. (2024). The Sixth Basic Environment Plan. Climate Policy Database. https://climatepolicydatabase.org/policies/6th-basic-environment-plan
Jeong, J. I., Park, R. J., Song, C.-K., Yeh, S.-W., & Jung-Hun, W. (2024). Quantitative analysis of winter PM2.5 reduction in South Korea, 2019/20 to 2021/22: Contributions of meteorology and emissions. Science of The Total Environment, 907, Article 168179. https://doi.org/10.1016/j.scitotenv.2023.168179
UK Department for Environment, Food & Rural Affairs. (2019). Clean Air Strategy 2019. https://www.gov.uk/government/publications/clean-air-strategy-2019
Bui, D. H., & Nghiem, X.-H. (2024). Urbanization and fine particulate matter (PM2.5): Empirical evidence from developing regions. Asian Journal of Water, Environment and Pollution. https://accscience.com
Niu, L., Zhang, Z., Liang, Y., & van Vliet, J. (2024). Spatiotemporal patterns and drivers of the urban air pollution island effect for 2273 cities in China. Environment International, 184, Article 108455. https://doi.org/10.1016/j.envint.2024.108455
Yedilkhan, D., Saleshova, S., Omarova, G., Akhmetzhanov, B., Sarsenova, Z., & Amirgaliyev, B. (2025). AI-driven urban analytics using IoT-enabled mobile sensor networks for environmental monitoring. Procedia Computer Science, 272, 619-625. https://doi.org/10.1016/j.procs.2025.10.257
Yedilkhan, D., Sarsenova, Z., Yermekov, A., & Saleshova, S. (2025, May). Integrating meteorological and air quality data for advanced correlation analysis in urban environments: A case study of Astana. In 2025 IEEE European Technology and Engineering Management Summit (E-TEMS) (pp. 270-275). IEEE. https://doi.org/10.1109/E-TEMS64751.2025.11239125
Jiang, Z., Cheng, H., Zhang, P., & Kang, T. (2021). Influence of urban morphological parameters on the distribution and diffusion of air pollutants: A case study in China. Journal of Environmental Sciences, 105, 163-172. https://doi.org/10.1016/j.jes.2020.12.035
Augusto, B., Lopes, D., Rafael, S., Coelho, M. C., & Ferreira, J. (2024). Assessing the impact of different urban morphology scenarios on air pollutant emissions distribution. Science of The Total Environment, 950, Article 175341. https://doi.org/10.1016/j.scitotenv.2024.175341
Omarova, P., Yang, T., Ataniyazova, A., Kozbakova, A., & Yedilkhan, D. (2026). Assessment of air quality in the urban environment taking into account vegetation and building geometry. Journal of Ecological Engineering, 27(2), 388-400. https://doi.org/10.12911/22998993/211688
Vahidi, S., Yeganeh, M., & Ghasaban, M. (2025). The effect of the morphology of highly polluted urban areas neighborhood on suspended particles of PM 2.5 and PM 10 air pollutants (Case Study: Ahvaz, Iran). Energy Nexus, 20, Article 100527. https://doi.org/10.1016/j.nexus.2025.100527
Sun, H., Bensalem, R., Dik, A., Tao, Z., Wang, Z., Jimenez-Bescos, C., & Calautit, J. K. (2025). The impact of courtyard roof shape on adjacent building natural ventilation and passive cooling. Journal of Building Engineering, 111, Article 113331. https://doi.org/10.1016/j.jobe.2025.113331
Biloshchytskyi, A., Kuchanskyi, O., Andrashko, Y., Yedilkhan, D., Neftissov, A., Biloshchytska, S., ... & Vatskel, V. (2023). Reducing outdoor air pollutants through a moss-based biotechnological purification filter in Kazakhstan. Urban Science, 7(4), Article 104. https://doi.org/10.3390/urbansci7040104
Omarova, P., Merembayev, T., & Amirgaliyev, Y. (2023). Mathematical modeling of water movement during a dam break using the vof method. Scientific Journal of Astana IT University, 14, Article 14. https://doi.org/10.37943/14NEBW7927
Kurmanbek, B., Merembayev, T., & Amanbek, Y. (2024). Prediction of natural fracture network patterns using feature engineering and machine learning approaches. Computational Energy Science, 1(4), 167-174. https://doi.org/10.46690/compes.2024.04.02
Yedilkhan, M., Berdyshev, A., Galiyev, M., & Merembayev, T. (2025). Air quality prediction based on the lstm with attention using meteorological data in urban area in kazakhstan. Journal of Problems in Computer Science and Information Technologies, 3(1), 3-12. https://doi.org/10.26577/jpcsit20253101
Rakhimberdina, A., Ormanova, G., & Yedilkhan, D. (2025, May). Development of a prediction model for the assessment of air quality in the city of Astana, Kazakhstan. In 2025 IEEE European Technology and Engineering Management Summit (E-TEMS) (pp. 303-308). IEEE. https://doi.org/10.1109/E-TEMS64751.2025.11239309
Chorin, A. J. (1968). Numerical solution of the Navier-Stokes equations. Journal of Computational Physics, 2(4), 745-762. https://doi.org/10.2307/2004575
Yuan, C., & Ng, E. (2012). Building porosity for better urban ventilation in high-density cities – A computational parametric study. Building and Environment, 50, 176–189. https://doi.org/10.1016/j.buildenv.2011.10.023
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