FLOW AND DISPERSION IN URBAN AREAS

By R. Britter, S. Hanna. 2003

933 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/748e67ad5f642056cccd0822a85a1c68b68d22e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Zheng-Tong Xie
2. B. Blocken
3. I. Castro
4. Ryan J. Lowe
5. Stephen G. Monismith
6. Jeffrey R. Koseff
7. A. Martilli
8. J. Santiago

In Computational Mechanics

1. I. Castro
2. Zheng-Tong Xie
3. A. Martilli
4. J. Santiago
5. B. Blocken
6. Ryan J. Lowe
7. Stephen G. Monismith
8. Jeffrey R. Koseff

In Environmental Engineering

1. I. Castro
2. Zheng-Tong Xie
3. B. Blocken
4. A. Martilli
5. J. Santiago
6. Ryan J. Lowe
7. Stephen G. Monismith
8. Jeffrey R. Koseff

Citations in the corpus

• Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA stadium (2010, background): “Examples are atmospheric transport and dispersion of solid, liquid and gaseous air pollutants ( Britter and Hanna 2003, Meroney 2004, Gromke and Ruck 2007, 2009, Blocken et al. 2008, Mensink and Cosemans 2008, Berkowicz et al. 2008, Yang and Shao 2008), wind-driven rain (Choi 1993, Blocken and Carm”
• The rise of low-cost sensing for managing air pollution in cities. (2015, background): “Air quality varies over a relatively small scale since the resulting pollutant concentration in a specific place depends predominantly on local emission sources and atmospheric flow conditions (Britter and Hanna 2003).”
• Local climatic changes affect biodiversity responses to land use: A review (2019, background): “Consequently, numerous areas trans‐ formed for human use are warmer and drier than primary habitats (Britter & Hanna, 2003; Frishkoff et al., 2016; Senior et al., 2017).”
• Source Inversion for Contaminant Plume Dispersion in Urban Environments Using Building-Resolving Simulations (2005, background): “More simplistic dispersion models do not explicitly resolve buildings and hence cannot capture such features (Britter and Hanna, 2003).”
• LES and RANS for Turbulent Flow over Arrays of Wall-Mounted Obstacles (2006, positive): “Furthermore, understanding of such flows is also directly beneficial to the understanding of building aerodynamics, urban meteorology and atmospheric boundary layer meteorology [4, 29].”
• Oscillatory flow through submerged canopies: 1. Velocity structure (2005, methodology): “In general, these studies can be broken down into two categories: flow through urban-like roughness [e.g., Macdonald, 2000; Britter and Hanna, 2003; Coceal and Belcher, 2004] and flow through vegetative canopies [e.g., Nepf and Vivoni, 2000; Finnigan, 2000; Ghisalberti and Nepf, 2002].”
• Enhancing computational fluid dynamics with machine learning (2021, background): “The mean flow in the inertial sublayer has been widely studied in the ABL community, and it is known that in neutral conditions it can be described by a logarithmic law [85].”
• Detailed Simulations of Atmospheric Flow and Dispersion in Downtown Manhattan: An Application of Five Computational Fluid Dynamics Models (2006, background): “Many papers describe the variability that characterizes flow and turbulence in urban 1713DECEMBER 2006AMERICAN METEOROLOGICAL SOCIETY | BNL-77056-2006-JA areas (e.g., Oke 1987; Rotach 1997; Roth 2000; Britter and Hanna 2003).”
• Efficient Generation of Inflow Conditions for Large Eddy Simulation of Street-Scale Flows (2008, background): “An understanding of the mechanisms by which the urban boundary layer, the rural boundary layer, the city scale flow (Britter & Hanna, 2003), the regional weather and the general circulation of the atmosphere, are coupled aerodynamically and thermodynamically is very important but still in its…”
• Double-averaging analysis and local flow characterization of near-bed turbulence in gravel-bed channel flows (2009, background): “Moreover, a large amount of similar work has been produced in the field of atmospheric boundary layer flows (Britter & Hanna 2003; Coceal et al. 2006; Coceal, Dobre & Belcher 2007a; Coceal, Dobre & Thomas 2007b, c) and plant canopy interaction with wind (De Langres 2008) with, for the latter,…”
• A Dynamic Urban Canopy Parameterization for Mesoscale Models Based on Computational Fluid Dynamics Reynolds-Averaged Navier–Stokes Microscale Simulations (2010, background): “Hence the scales of the processes that have to be taken into account range from the street scale passing through the neighbourhood scale to a scale greater than a city ( Britter and Hanna 2003 ).”