Volume 10, Issue 3 (2020)
Naqshejahan 2020, 10(3): 193-203 |
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Khodakarami J, Nouri S, Mansouri R. Influence of Tall Buildings on the Distribution of Particulate Matter and Air Pollution in the Environment around Them. Naqshejahan 2020; 10 (3) :193-203
URL: http://bsnt.modares.ac.ir/article-2-41481-en.html
URL: http://bsnt.modares.ac.ir/article-2-41481-en.html
1- Architecture Department, Engineering Faculty, Ilam University, Ilam, Iran , j.khodakarami@ilam.ac.ir
2- Architecture Department, Engineering Faculty, Ilam University, Ilam, Iran
2- Architecture Department, Engineering Faculty, Ilam University, Ilam, Iran
Abstract: (4443 Views)
Aims: The impact of high-rise urban buildings on environmental conditions, including wind movement in urban valleys, is an issue that needs attention. Because wind is one of the important variables affecting the conditions of pedestrian thermal comfort as well as the scattering of urban outdoor pollution. The purpose of this study was to find the positive effects of such buildings on reducing environmental pollution.
Methods: In this study, texture around Imam Khomeini Square in Tehran was examined using Envi-met software. The tallest building in this context is a telecommunication building with 50 meters high. Therefore, in addition to the actual height of the building and examining the wind speed pattern at different altitudes of 50 meters, assuming the building has different heights (15, 20, 25, 30, 35, 40, 45 meters), was also simulated and the results of the wind flow distribution pattern of the different models was compared with each other.
Results: By examining the relationship between elevation and geometry of this building with the pattern of current distribution and wind speed around it, it was found that by changing the height, the patterns of air turbulence around the building change and this changes the pattern of air pollution.
Conclusion: This study shows the significant effect of building height on the wind pattern around the texture and the higher air layers and the air pollution distribution of the adjacent passages.
Methods: In this study, texture around Imam Khomeini Square in Tehran was examined using Envi-met software. The tallest building in this context is a telecommunication building with 50 meters high. Therefore, in addition to the actual height of the building and examining the wind speed pattern at different altitudes of 50 meters, assuming the building has different heights (15, 20, 25, 30, 35, 40, 45 meters), was also simulated and the results of the wind flow distribution pattern of the different models was compared with each other.
Results: By examining the relationship between elevation and geometry of this building with the pattern of current distribution and wind speed around it, it was found that by changing the height, the patterns of air turbulence around the building change and this changes the pattern of air pollution.
Conclusion: This study shows the significant effect of building height on the wind pattern around the texture and the higher air layers and the air pollution distribution of the adjacent passages.
Article Type: Original Research |
Subject:
Highperformance Architecture
Received: 2020/03/17 | Accepted: 2020/03/22 | Published: 2020/10/21
Received: 2020/03/17 | Accepted: 2020/03/22 | Published: 2020/10/21
References
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1- Stathopoulos T. Pedestrian level winds and outdoor human comfort. J Wind Eng Ind Aerodyn. 2006;94(11):769-80. [Link] [DOI:10.1016/j.jweia.2006.06.011]
2. van Hooff T, and Blocken B. CFD evaluation of natural ventilation of indoor environments by the concentration decay method: CO 2 gas dispersion from a semi-enclosed stadium. Build Environ. 2013;61:1-17. [Link] [DOI:10.1016/j.buildenv.2012.11.021]
3. Iqbal QMZ, Chan ALS. Pedestrian level wind environment assessment around group of high-rise cross-shaped buildings: Effect of building shape, separation and orientation. Build Environ. 2016;101:45-63. [Link] [DOI:10.1016/j.buildenv.2016.02.015]
4. Lu C, Deng QH, Liu WW, Huang BL, Shi LZ. Characteristics of ventilation coefficient and its impact on urban air pollution. J Cent South Univ. 2012;19:615-22. [Link] [DOI:10.1007/s11771-012-1047-9]
5. Mao J, Gao N. The airborne transmission of infection between flats in high-rise residential buildings: a review. Build Environ. 2015;94(Part 2):516-31. [Link] [DOI:10.1016/j.buildenv.2015.09.026]
6. Zhang Y, Kwok KCS, Liu XP, Niu JL. Characteristics of air pollutant dispersion around a high-rise building. Environ Pollut. 2015;204:280-8. [Link] [DOI:10.1016/j.envpol.2015.05.004]
7. Di Sabatino S, Solazzo E, Paradisi P, Britter R. A simple model for spatially-averaged wind profiles within and above an urban canopy. Boundary Layer Meteorol. 2008;127:131-51. [Link] [DOI:10.1007/s10546-007-9250-1]
8. Azizi MM, Motavaseli MM. Strategic revision of urban services context of local management of Iran, emphasizing the urban waste; case study: Mashhad metropolitan. Int J Urban Rural Manag. 2012;10(30):91-112. [Persian] [Link]
9. Sadrolgharavi TS, Mahdavinejad MJ. The form of residential buildings on local winds: air pollution reduction. Int J Architect Urban Dev. 2018;8(1):53-64. [Link]
10. Mahdavinejad MJ, Salehnejad H, Moradi N. An ENVI-met simulation study on influence of urban vegetation congestion on pollution dispersion. Asian J Water Environ. Pollut. 2018;15(2):187-94. [Link] [DOI:10.3233/AJW-180031]
11. Kuo CY, Tzeng CT, Ho MC, Lai CM. Wind tunnel studies of a pedestrian-level wind environment in a street canyon between a high-rise building with a podium and low-level attached houses. Energies. 2015;8(10):10942-57. [Link] [DOI:10.3390/en81010942]
12. Liu J, Niu J. CFD simulation of the wind environment around an isolated high-rise building: an evaluation of SRANS, LES and DES models. Build Environ. 2016;96:91-106. [Link] [DOI:10.1016/j.buildenv.2015.11.007]
13. Blocken B, Stathopoulos T, van Beeck JPAJ. Pedestrian-level wind conditions around buildings: Review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment. Build Environ. 2016;100:50-81. [Link] [DOI:10.1016/j.buildenv.2016.02.004]
14. Blocken B, Carmeliet J. Pedestrian wind conditions at outdoor platforms in a high-rise apartment building: generic sub-configuration validation, wind comfort assessment and uncertainty issues. Wind Struct. 2008;11(1):51-70. [Link] [DOI:10.12989/was.2008.11.1.051]
15. Salehi E, Yavari AR, Vakili F, Parivar P. Assessing the impact of urban high-rise building on wind flow performance, case study: Tehran, District 22. J Urban Ecol Res. 2016;7(1):67-80. [Persian] [Link]
16. Abbaspour M, Behjo A. Air pollution concentration around tall building. J Environ Stud. 2000;26(25):1-10. [Link]
17. Hamzehnezhad M, Rabani M, Torabi T. Wind's role in human health in Islamic medicine approach and its impact on locating and structure of Iranian traditional cities. Naqsh-e-Jahan. 2015;5(1):43-57. [Persian] [Link]
18. Azizi MM. Assessment of the physical-spatial effects of tower construction in Tehran's Farmanieh-Kameraniyah Neighborhoods. Honar-ha-ye Ziba. 1999;(4-5):33-46. [Persian] [Link]
19. Ozmen Y, Baydar E, van Beeck JPAJ. Wind flow over the low-rise building models with gabled roofs having different pitch angles. Build Environ. 2016;95:63-74. [Link] [DOI:10.1016/j.buildenv.2015.09.014]
20. Zhang Y, Habashi WG, Khurram RA. Predicting wind-induced vibrations of high-rise buildings using unsteady CFD and modal analysis. J Wind Eng Ind Aerodynam. 2015;136:165-79. [Link] [DOI:10.1016/j.jweia.2014.11.008]
21. Tominaga Y. Flow around a high-rise building using steady and unsteady RANS CFD: Effect of large-scale fluctuations on the velocity statistics. Wind Eng Ind Aerodynam. 2015;142:93-103. [Link] [DOI:10.1016/j.jweia.2015.03.013]
22. Yu XF, Xie ZN, Zhu JB, Gu M. Interference effects on wind pressure distribution between two high-rise buildings. Wind Eng Ind Aerodynam. 2015;142:188-97. [Link] [DOI:10.1016/j.jweia.2015.04.008]
23. Blocken B, Stathopoulos T, Carmeliet J. Wind environmental conditions in passages between two long narrow perpendicular buildings. Aerospace Eng. 2008;21(4):280-7. [Link] [DOI:10.1061/(ASCE)0893-1321(2008)21:4(280)]
24. Hsieh CM, Huang HC. Mitigating urban heat islands: a method to identify potential wind corridor for cooling and ventilation. Comput Environ Urban Syst. 2016;57:130-43. [Link] [DOI:10.1016/j.compenvurbsys.2016.02.005]
25. Stathopoulos T, Wu H, Bédard C. Wind environment around buildings: a knowledge-based approach. J Wind Eng Ind Aerodynam. 1992;44(1-3):2377-88. [Link] [DOI:10.1016/0167-6105(92)90028-9]
26. Janssen WD, Blocken B, van Hooff T. Pedestrian wind comfort around buildings: Comparison of wind comfort criteria based on whole-flow field data for a complex case study. Build Environ. 2013;59:547-62. [Link] [DOI:10.1016/j.buildenv.2012.10.012]
27. To AP, Lam KM. Evaluation of pedestrian-level wind environment around a row of tall buildings using a quartile-level wind speed descripter. Wind Eng Ind Aerodynam. 1995;54-55:527-41. [Link] [DOI:10.1016/0167-6105(94)00069-P]
28. Wikipedia. Imam Khomeini Square (Tehran) [Internet]. Tehran: Wikipedia; 2009 [cited 219 May 27]. Available from: https://bit.ly/2CyGqbD. [Persian] [Link]
29. Mahdavinejad MJ, Ghaedi A, Ghasempourabadi M, Ghaedi H. The role of vernacular architecture in design of green sidewalk (case study: Iran, Shushtar). Appl Mech Mater. 2013; 260-261:65-8. [Link] [DOI:10.4028/www.scientific.net/AMM.260-261.65]
30. Rosheidat A, Bryan H. Optimizing the effect of vegetation for pedestrian thermal comfort and urban heat island mitigation in a hot arid urban environment. In: Proceedings of Fourth National Conference of IBPSA-USA; 2010 11-13 Aug; New York, New York City. [Link]
31. Maggiotto G, Buccolieri R, Santo MA, Leo LS, Di Sabatino S. Validation of temperature-perturbation and CFD-based modelling for the prediction of the thermal urban environment: The Lecce (IT) case study. Environ Model Software. 2014;60:69-83. [Link] [DOI:10.1016/j.envsoft.2014.06.001]
32. Paas B, Schneider C. A comparison of model performance between ENVI-met and Austal2000 for particulate matter. Atmospher Environ. 2016;145:392-404. [Link] [DOI:10.1016/j.atmosenv.2016.09.031]
33. Taleghani M, Kleerekoper L, Tenpierik M, van den Dobbelsteen A. Outdoor thermal comfort within five different urban forms in the Netherlands. Build Environ. 2015;83:65-78. [Link] [DOI:10.1016/j.buildenv.2014.03.014]
34. Bruse M, Fleer H. Simulating surface-plant-air interactions inside urban environments with a three dimensional numerical model. Environ Model Software. 1998;13(3-4):373-84. [Link] [DOI:10.1016/S1364-8152(98)00042-5]
35. Wania A, Bruse M, Blond N, Weber C. Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations. J Environ Manag. 2012;94(1):91-101. [Link] [DOI:10.1016/j.jenvman.2011.06.036]
36. Yamada T, Mellor G. A simulation of the Wangara atmospheric boundary layer data. J Atmospher Sci. 1975;32(12):2309-29.
https://doi.org/10.1175/1520-0469(1975)032<2309:ASOTWA>2.0.CO;2 [Link] [DOI:10.1175/1520-0469(1975)0322.0.CO;2]
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