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Characterizing Ventilation and Exposure in Street Canyons Using Lagrangian Particles

K. W. LO, K. NGAN*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The residence time measures the rate at which a pollutant escapes from a region of interest. Previous studies of urban ventilation have estimated the mean residence time from Eulerian data by assuming a spatially homogeneous pollutant field. Using a large-eddy simulation and a Lagrangian particle model, the residence and exposure times are calculated for an idealized street canyon in the skimming-flow region and a deep street canyon within a realistic urban area. For both domains, the mean residence time is on the order of a canyon circulation time scale, while the mean exposure time, which includes re-entrainment and characterizes the total time spent by a pollutant in a region of interest, is about 20% longer. Intensive quantities such as the Lagrangian visitation factor and return coefficient indicate that re-entrainment is modest. Probability distribution functions of the exposure and residence times are nearly exponential for both domains, in accord with pure diffusion and single-time-scale, vertical-exchange parameterizations. It is argued that, by analogy with Brownian motion, the mean residence and exposure times are set primarily by the mean circulation rather than the turbulence when the flow approximates that within a two-dimensional street canyon.

Original languageEnglish
Pages (from-to)1177-1194
JournalJournal of Applied Meteorology and Climatology
Volume56
Issue number5
DOIs
Publication statusPublished - May 2017

Funding

This research was supported by the Research Grants Council of Hong Kong (Project 21304515) and City University of Hong Kong (Projects 7004165 and 7200403). Many helpful comments and criticisms were received from the referees. This work benefited from discussions with Jacques Vanneste.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • LARGE-EDDY SIMULATION
  • TURBULENT-FLOW
  • POLLUTANT DISPERSION
  • RESIDENCE TIME
  • MEAN FLOW
  • CONCENTRATION FLUCTUATIONS
  • INDOOR ENVIRONMENT
  • STOCHASTIC-MODELS
  • AIR-QUALITY
  • URBAN AREAS
  • Air pollution
  • Lagrangian circulation/transport
  • Urban meteorology

RGC Funding Information

  • RGC-funded

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