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Influence of boundary inflow wind fluctuation on simulated urban atmospheric diffusion |
DONG Long-xiang1,2, ZUO Hong-chao1, YANG Bin1, CHEN Ji-wei3, MA Kai-ming3, YU Ye2 |
1. Key Laboratory for Semi-Arid Climate Change, Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;
2. Key Laboratory for Land Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou 730000, China;
3. Unit of 93811 of Pepole's Liberation Army, Lanzhou 730020, China |
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Abstract The impact of the inflow wind fluctuation (i.e. wind velocity and wind speed) on the urban pollutant dispersion from a point source released at ground level under neutral stratification was analyzed using the computational fluid dynamics (CFD) model Fluent, where the boundary inflow conditions were provided in the form of wind velocity and turbulence profiles. Results suggested that the CFD model could reproduce the characteristic flow pattern (e.g. vortex, channeling, and so on) observed in actual urban environment, and the simulated wind velocity, wind direction and turbulence kinetic energy were in good agreement with observations. The results from a set of sensitivity experiments showed that the flow field and turbulent kinetic energy as well as the spatial distribution of pollutants in the urban area were very sensitive to the fluctuation of inflow wind speed and wind direction. This may be one of the main reasons for the inconsistency between the observed and the simulated concentrations in previous studies. Therefore, the uncertainty of boundary inflow should be considered in future simulation studies on urban atmospheric diffusion.
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Received: 14 December 2016
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[1] |
United Nations. World Urbanization Prospects:the 2014 Revision, Highlights. Technical Report ST/ESA/SER.A/352[R]. Department of Economic and Social Affairs, Population Division, 2014.
|
[2] |
Parrish D D, Zhu T. Clean air for megacities[J]. Science, 2009, 326(5953):674-675.
|
[3] |
Batchvarova E, Gryning S E. Progress in urban dispersion studies[J]. Theoretical and applied climatology, 2006,84(1-3):57-67.
|
[4] |
Hendricks E A, Diehl S R, Burrows D A, et al. Evaluation of a fast-running urban dispersion modeling system using Joint Urban 2003field data[J]. Journal of Applied Meteorology and Climatology, 2007,46(12):2165-2179.
|
[5] |
Ai Z T, Mak C M. CFD simulation of flow and dispersion around an isolated building:Effect of inhomogeneous ABL and near-wall treatment[J]. Atmospheric Environment, 2013,77:568-578.
|
[6] |
Baik J J, Kim J J. A numerical study of flow and pollutant dispersion characteristics in urban street canyons[J]. Journal of applied meteorology, 1999,38(11):1576-1589.
|
[7] |
蒋德海,蒋维楣,苗世光.城市街道峡谷气流和污染物分布的数值模拟[J]. 环境科学研究, 2006,19(3):7-12.
|
[8] |
王乐,张云伟,顾兆林.动态风场及交通流量下街道峡谷内污染物扩散模拟[J]. 中国环境科学, 2013,32(12):2161-2167.
|
[9] |
杨方,钟珂,亢燕铭.街道峡谷对称性对污染物扩散的影响[J]. 中国环境科学, 2015,35(3):706-713.
|
[10] |
Warner S, Platt N, Heagy J F, et al. Comparisons of transport and dispersion model predictions of the Mock Urban Setting Test field experiment[J]. Journal of applied meteorology and climatology, 2006,45(10):1414-1428.
|
[11] |
Flaherty J E, Stock D, Lamb B. Computational fluid dynamic simulations of plume dispersion in urban Oklahoma City[J]. Journal of Applied Meteorology and Climatology, 2007,46(12):2110-2126.
|
[12] |
Lundquist J K, Chan S T. Consequences of urban stability conditions for Computational Fluid Dynamics simulations of urban dispersion[J]. Journal of applied meteorology and climatology, 2007,46:1080-1097.
|
[13] |
Hanna S R, Brown M J, Camelli F E, et al. Detailed simulations of atmospheric flow and dispersion in downtown Manhattan:An application of five computational fluid dynamics models[J]. Bulletin of the American Meteorological Society, 2006,87(12):1713-1726.
|
[14] |
An K, Fung J C H, Yim S H L. Sensitivity of inflow boundary conditions on downstream wind and turbulence profiles through building obstacles using a CFD approach[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013,115:137-149.
|
[15] |
董龙翔,左洪超,董文成.兰州市榆中县城区重气示踪试验的初步分析[J]. 兰州大学学报(自然科学版), 2013,49(5):644-650.
|
[16] |
陈继伟,左洪超,马凯明.城市冠层上下大气湍流特征分析[J]. 高原气象, 2014,33(4):967-976.
|
[17] |
董文成,左洪超,邵毅,等.Fluent在城区内流场及污染扩散模拟的适用性检验[J]. 环境科学与技术, 2014,37(2):61-68.
|
[18] |
邵毅,张述文,左洪超,等.榆中县城大气污染物扩散的观测实验与数值模拟[J]. 中国环境科学, 2013,33(7):1223-1230.
|
[19] |
ANSYS FLUENT 15.0users guide manual[Z]. USA:ANSYS Inc., 2014.
|
[20] |
Richards P J, Hoxey R P. Appropriate boundary conditions for computational wind engineering models using the k-ε turbulence model[J]. Journal of wind engineering and industrial aerodynamics, 1993,46:145-153.
|
[21] |
Stull R B. An introduction to boundary layer meteorology[M]. Springer Science & Business Media, 1988:378-380.
|
[22] |
顾兆林,张云伟.城市街谷的空气流动与污染物扩散研究——物理模型的发展及数学模拟[J]. 地球环境学报, 2011,2(2):362-373.
|
[23] |
Flaherty J E, Lamb B, Allwine K J, et al. Vertical tracer concentration profiles measured during the Joint Urban 2003 dispersion study[J]. Journal of Applied Meteorology and Climatology, 2007,46(12):2019-2037.
|
[24] |
Tominaga Y, Stathopoulos T. CFD simulation of near-field pollutant dispersion in the urban environment:A review of current modeling techniques[J]. Atmospheric Environment, 2013,79:716-730.
|
[25] |
Amorim J H, Rodrigues V, Tavares R, et al. CFD modelling of the aerodynamic effect of trees on urban air pollution dispersion[J]. Science of the Total Environment, 2013,461:541-551.
|
[26] |
Tominaga Y, Stathopoulos T. Turbulent Schmidt numbers for CFD analysis with various types of flow field[J]. Atmospheric Environment, 2007,41(37):8091-8099.
|
|
|
|