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Wind observations above an urban river using a new lidar technique, scintillometry and anemometry

  • C. R. Wood
  • , L. Pauscher
  • , H. C. Ward
  • , S. Kotthaus
  • , J. F. Barlow
  • , M. Gouvea
  • , S. E. Lane
  • , C. S.B. Grimmond

Research output: Contribution to journalArticlepeer-review

Abstract

Airflow along rivers might provide a key mechanism for ventilation in cities: important for air quality and thermal comfort. Airflow varies in space and time in the vicinity of rivers. Consequently, there is limited utility in point measurements. Ground-based remote sensing offers the opportunity to study 3D airflow in locations which are difficult to observe with conventional approaches. For three months in the winter and spring of 2011, the airflow above the River Thames in central London was observed using a scanning Doppler lidar, a scintillometer and sonic anemometers. First, an inter-comparison showed that lidar-derived mean wind-speed estimates compare almost as well to sonic anemometers (root-mean-square error (rmse) 0.65-0.68ms-1) as comparisons between sonic anemometers (0.35-0.73ms-1). Second, the lidar duo-beam operating strategy provided horizontal transects of wind vectors (comparison with scintillometer rmse 1.12-1.63ms-1) which revealed mean and turbulent airflow across the river and surrounds; in particular, channelled airflow along the river and changes in turbulence quantities consistent with the roughness changes between built and river environments. The results have important consequences for air quality and dispersion around urban rivers, especially given that many cities have high traffic rates on roads located on riverbanks.

Original languageEnglish
Pages (from-to)527-533
Number of pages7
JournalScience of the Total Environment
Volume442
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

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
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Instrument comparison
  • Micro-meteorology
  • Roughness sub-layer
  • Scanning Doppler lidar
  • Sonic anemometry
  • Urban climate

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