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Volume 37, Issue 4 (2022)
GeoRes 2022, 37(4): 409-416 |
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Received: 2022/07/27 | Accepted: 2022/10/28 | Published: 2022/11/1
Received: 2022/07/27 | Accepted: 2022/10/28 | Published: 2022/11/1
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Ghobadi P, Maleki A, Aali S. Analysis of the Effect of Urban Block Morphology on Wind Flow. GeoRes 2022; 37 (4) :409-416
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1- Department of Architecture and Urban Planning, Faculty of Architecture and Urban Planning, Islamic Art University of Tabriz, Tabriz, Iran
Abstract (762 Views)
Aims: Paying attention to air flow in urban spaces is one of the most important criteria for designing space and improving thermal comfort and air quality in cities, which depending on their climatic conditions can increase the desirability and presence of people in urban spaces. This research aimed to investigate the effect of foure factors related to the morphology of urban blocks (enclosure, block volume, building density, and sky visibility factor) on changes in wind speed and air flow in urban corridors.
Methodology: The research method is applied in terms of purpose and descriptive-analytical in terms of method. To achieve the goal of the research, a hypothetical area was considered, and a three-dimensional simulation of an arrangement model of urban blocks in different heights (1-15 floors) was conducted by Envi-met software. The wind entering the area was considered at two different angles: zero and 45 degrees. To determine the intensity of correlation between independent and dependent variables, the regression method was used.
Findings: Analysis of the simulations showed that with the increase in block heights, the average wind speed and the formation of wind tunnels in the corridors increase at an angle of 0 and 45 degrees.
Conclusion: The average wind speed in building blocks parallel to the wind direction, is 20-30% higher than when the buildings are placed at an angle to the wind. Also, the wind speed is directly related to the enclosure, the block volume and the building density and inversely related with the sky view factor.
Methodology: The research method is applied in terms of purpose and descriptive-analytical in terms of method. To achieve the goal of the research, a hypothetical area was considered, and a three-dimensional simulation of an arrangement model of urban blocks in different heights (1-15 floors) was conducted by Envi-met software. The wind entering the area was considered at two different angles: zero and 45 degrees. To determine the intensity of correlation between independent and dependent variables, the regression method was used.
Findings: Analysis of the simulations showed that with the increase in block heights, the average wind speed and the formation of wind tunnels in the corridors increase at an angle of 0 and 45 degrees.
Conclusion: The average wind speed in building blocks parallel to the wind direction, is 20-30% higher than when the buildings are placed at an angle to the wind. Also, the wind speed is directly related to the enclosure, the block volume and the building density and inversely related with the sky view factor.
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References
1. Aali A, Haghparast F, Maleki A, Shakibamanesh A, Ghobadi P (2017). Optimum form and placement of urban blocks to maximize the use of solar energ-A case study. International Journal of Optimization in Civil Engineering. 7(4):597-615. [Link]
2. Sciurpi F, Carletti C, Cellai G, Muratore V, Orsi A, Pierangioli L, Schmidt ED (2017). Environmental monitoring and building simulation application to Vasari Corridor: preliminary results. Energy Procedia. 133:219-230. [Link] [DOI:10.1016/j.egypro.2017.09.393]
3. Banerjee S, Yik SK, Dzyuban Y, Crank PJ, Yi RPX, Chow WT (2022). Analysing impacts of urban morphological variables and density on outdoor microclimate for tropical cities: A review and a framework proposal for future research directions. Building and Environment. 225:109646. [Link] [DOI:10.1016/j.buildenv.2022.109646]
4. Babaei Foroushani Z, Changelavayi Y (2020). The effect of traditional and modern urban morphology patterns on wind flow and its interactions with energy efficient approach (Case study: Isfahan). Journal of Urban Studies. 10 (37):127-142. [Persian] [Link]
5. Baghaei daemi A, Eghbali R, Moez H, Bahrami P (2019). Simulation of flow in wind tunnels and optimization of aerodynamic shape of tall buildings to improve the drag coefficient under the influence of wind force. City Identity. 13(38):63-80. [Persian] [Link]
6. Bayat A, Bemanian MR (2021). Analysis of the effect of tall building installation patterns on reducing the effect of thermal islands in the spaces between buildings. Urban Design Discourse. 2(1):105-120. [Persian] [Link]
7. Edussuriya P, Chan A, Ye A (2011). Urban morphology and air quality in dense residential environments in Hong Kong. Part I: District-level analysis. Atmospheric Environment. 45(27):4789-4803. [Link] [DOI:10.1016/j.atmosenv.2009.07.061]
8. Javanroodi K, Nik VM, Giometto MG, Scartezzini JL (2022). Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology. Science of the Total Environment. 829:154223. [Link] [DOI:10.1016/j.scitotenv.2022.154223]
9. Feng W, Ding W, Fei M, Yang Y, Zou W, Wang L, et al. (2021). Effects of traditional block morphology on wind environment at the pedestrian level in cold regions of Xi'an, China. Environment, Development and Sustainability. 23(3):3218-3235. [Link] [DOI:10.1007/s10668-020-00714-0]
10. Hesami S (2018). Investigating the effect of urban neighborhoods form on climate comfort with emphasis on wind flow Case study: Central texture of Sanandaj [Dissertation]. Tehran: Tehran University of Arts. [Persian] [Link]
11. Javanroodi K, Nik VM (2020). Interactions between extreme climate and urban morphology: Investigating the evolution of extreme wind speeds from mesoscale to microscale. Urban Climate. 31:100544. [Link] [DOI:10.1016/j.uclim.2019.100544]
12. Juan YH, Wen CY, Li Z, Yang AS (2021). Impacts of urban morphology on improving urban wind energy potential for generic high-rise building arrays. Applied Energy. 299:117304. [Link] [DOI:10.1016/j.apenergy.2021.117304]
13. Ku CA, Tsai HK (2020). Evaluating the influence of urban morphology on urban wind environment based on computational fluid dynamics simulation. ISPRS International Journal of Geo-Information. 9(6):399. [Link] [DOI:10.3390/ijgi9060399]
14. Li M, Qiu X, Shen J, Xu J, Feng B, He Y, et al. (2019). CFD simulation of the wind field in Jinjiang City using a building data generalization method. Atmosphere. 10(6):326 [Link] [DOI:10.3390/atmos10060326]
15. Maleki A, Kahforoshan D, Ghobadi P (2021). Analysis of spatiotemporal distribution of air pollutants in Tabriz and its relationship with urban design components. Research Project. [Persian] [Link]
16. Maleki A, Aali A, Ghobadi P (2016). An introduction of urbawind software and its application in urban design, 3rd International Conference on Applied Research in Civil Engineering, Architecture and Urban Management. Tehran: K.N.Toosi, University of Technology. [Persian] [Link]
17. Peng Y, Gao Z, Buccolieri R, Ding W (2019). An investigation of the quantitative correlation between urban morphology parameters and outdoor ventilation efficiency indices. Atmosphere. 10(1):33. [Link] [DOI:10.3390/atmos10010033]
18. Rezaiee Hariri M, Najaf Khosravi S, Saadatjoo P (2016). The Impact of High-rise Building Form on Climatic Comfort at the Pedestrian Level. Journal of Architecture and Urban Planning. 9(17):61-77. [Persian] [Link]
19. Robinson D, editor (2012). Computer modelling for sustainable urban design: Physical principles, methods and applications. Washington: Routledge. [Link] [DOI:10.4324/9781849775403]
20. Saadatjoo P, Saligheh E (2021). The role of buildings distribution pattern on outdoor airflow and received daylight in residential complexes; Case study: Residential complexes in Tehran. Naqshejahan. 11(3):67-92. [Persian] [Link]
21. Vakili Nejad R (2021). Comparative comparison of thermal comfort simulation tools in urban environment. Journal of Iranian Architecture and Urbanism. 12(2):235-250. [Persian] [Link]
22. Van de Graaf T (2014). International energy agency. In Sperling J, editor. Handbook of governance and security. Northampton, MA, USA: Edward Elgar Publishing. pp. 489-503 [Link] [DOI:10.4337/9781781953174.00038]
23. Wang B, Geoffroy S, Bonhomme M (2022). Urban form study for wind potential development. Environment and Planning B: Urban Analytics and City Science. 49(1):76-91. [Link] [DOI:10.1177/2399808321994449]
24. Wang B, Sun S, Duan M (2018). Wind potential evaluation with urban morphology-A case study in Beijing. Energy Procedia. 153:62-67. [Link] [DOI:10.1016/j.egypro.2018.10.078]
25. Yao JW, Zheng JY, Zhao Y, Shao YH, Yuan F (2017). Urban renewal based wind environment at pedestrian level in high-density and high-rise urban areas in Sai Ying Pun, Hong Kong. IOP Conference Series: Materials Science and Engineering. 264(1):012014. [Link] [DOI:10.1088/1757-899X/264/1/012014]
26. Zhang H (2021). The relationship between the space corridor and pedestrian-level wind environment. 5th International Conference on Vision, Image and Signal Processing. Kuala Lumpur, Malaysia: IEEE. [Link] [DOI:10.1109/ICVISP54630.2021.00035]