Buoyant wind-driven pollutant dispersion and recirculation behaviour in wedge-shaped roof urban street canyons
- 257 Downloads
The present study investigated the buoyant wind-driven pollutant plume dispersion and recirculation behaviour inside urban street canyons formed by buildings with wedge-shaped roofs. Numerical modelling was performed using a computational fluid dynamics (CFD) large eddy simulation (LES). Street canyon models with a strongly buoyant fire source located on the street and environmental winds perpendicular to the canyon were developed using the fire dynamics simulator (FDS). The complex interaction of buoyancy and wind, as well as their combined effects on the pollutant plume dispersion, was simulated inside the urban street canyon. The results showed that the flow pattern of pollutant plume dispersion inside the street canyon with increasing wind speed for different roof inclination angles could be divided into three regimes, including a recirculation regime, a quasi-recirculation regime and a non-recirculation regime. The pollutant levels in the street canyon, as indexed by carbon monoxide (CO) concentration, increased under the recirculation regime. For the quasi-recirculation regime, however, the leeward buildings primarily suffered from the higher pollutant levels. The critical wind speed needed to trigger recirculation was analysed for various roof inclination angles. A correlation was proposed to predict the critical wind speed of various wedge-shaped roof angles for recirculation regime and quasi-recirculation regimes.
KeywordsEnvironmental pollution dispersion Urban street canyon Large eddy simulation Wedge-shaped roof Recirculation wind speed
This work was supported by the National Natural Foundation of China under Grant No. 51506032, the Key Research Program of Frontier Sciences of Chinese Academy of Science (CAS) under Grant No. QYZDB-SSW-JSC029 and the Fundamental Research Funds for the Central Universities under Grant No. WK2320000035 and WK2320000038.
- Chang CH (2006) Computational fluid dynamics simulation of concentration distributions from a point source in the urban street canyons. J Aerosp Eng 19:80–86. https://doi.org/10.1061/(ASCE)0893-1321(2006)19:2(80) CrossRefGoogle Scholar
- Hu LH, Huo R, Chou WK (2008) Studies on buoyancy-driven back-layering flow in tunnel fires. Exp Thermal Fluid Sci 32:1468–1483. https://doi.org/10.1016/j.expthermflusci.2008.03.005 CrossRefGoogle Scholar
- McGrattan K, Hostikka S, McDermott R, Floyd J, Weins-achenk C, Overholt K (2013a) Fire dynamics simulator technical reference guide, 6th edn. NIST special publicationGoogle Scholar
- McGrattan K, Hostikka S, McDermott R, Floyd J,Weinschenk C, Overholt K (2013b) Fire dynamics simulator, user’s guide, 6th edn. NIST special publicGoogle Scholar
- Salizzoni P, Grosjean N, Méjean P, Perkins RJ, Soulhac L, Vanliefferinge R (2007) Wind tunnel study of the exchange between a street canyon and the external flow. In: Air pollution modeling and its application, vol XVII. Springer, BostonGoogle Scholar
- Su Z, Li T, Liang YX, Wan L, Wang S, Zhang M et al (2007) Part I: chemical hazardous agents (GBZ 2.1-2007). In: Occupational exposure limits for hazardous agents in the workplace. Ministry of Health of the People's Republic of China, Beijing (in Chinese)Google Scholar
- Takano Y, Moonen P (2013) On the influence of roof shape on flow and dispersion in an urban street canyon. J Wind Eng Ind Aerodyn 123(Part A):107–120. https://doi.org/10.1016/j.jweia.2013.10.006
- Tang F, Hu LH, Delichatsios MA, Lu KH, Zhu W (2012) Experimental study on flame height and temperature profile of buoyant window spill plume from an under-ventilated compartment fire. Int J Heat Mass Transf 55(1–3):93–101. https://doi.org/10.1016/j.ijheatmasstransfer.20n.d.1.045 CrossRefGoogle Scholar
- Zhang W, Hamer M, Klassen M, Carpenter D, Roby R (2002) Turbulence statistics in a fire room model by large eddy simulation. Fire Saf J 37: 721–752. doi: https://doi.org/10.1016/S0379-7112(02)00030-9