Literature DB >> 27369974

Comparison of selected approaches for urban roughness determination based on voronoi cells.

Christine Ketterer1,2, Marcel Gangwisch2, Dominik Fröhlich3, Andreas Matzarakis4,5.   

Abstract

Wind speed is reduced above urban areas due to their high aerodynamic roughness. This not only holds for above the urban canopy. The local vertical wind profile is modified. Aerodynamic roughness (both roughness length and displacement height) therefore is relevant for many fields within human biometeorology, e.g. for the identification of ventilation paths, the concentration and dispersion of air pollutants at street level or to simulate wind speed and direction in urban environments and everything depending on them. Roughness, thus, also shows strong influence on human thermal comfort. Currently, roughness parameters are mostly estimated using classifications. However, such classifications only provide limited assessment of roughness in urban areas. In order to calculate spatially resolved roughness on the micro-scale, three different approaches were implemented in the SkyHelios model. For all of them, the urban area is divided into reference areas for each of the obstacles using a voronoi diagram. The three approaches are based on building and [+one of them also on] vegetation (trees and forests) data. They were compared for the city of Stuttgart, Germany. Results show that the approach after Bottema and Mestayer (J Wind Eng Ind Aerodyn 74-76:163-173 1998) on the spatial basis of a voronoi diagram provides the most plausible results.

Entities:  

Keywords:  Displacement height; Roughness length; SkyHelios; Stuttgart; Voronoi diagram

Mesh:

Year:  2016        PMID: 27369974     DOI: 10.1007/s00484-016-1203-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  9 in total

1.  Applications of a universal thermal index: physiological equivalent temperature.

Authors:  A Matzarakis; H Mayer; M G Iziomon
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

3.  UTCI--why another thermal index?

Authors:  Gerd Jendritzky; Richard de Dear; George Havenith
Journal:  Int J Biometeorol       Date:  2011-12-21       Impact factor: 3.787

4.  The influence of urban design on outdoor thermal comfort in the hot, humid city of Colombo, Sri Lanka.

Authors:  Erik Johansson; Rohinton Emmanuel
Journal:  Int J Biometeorol       Date:  2006-07-20       Impact factor: 3.787

5.  Tourism climate and thermal comfort in Sun Moon Lake, Taiwan.

Authors:  Tzu-Ping Lin; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2007-10-17       Impact factor: 3.787

6.  Deriving the operational procedure for the Universal Thermal Climate Index (UTCI).

Authors:  Peter Bröde; Dusan Fiala; Krzysztof Błażejczyk; Ingvar Holmér; Gerd Jendritzky; Bernhard Kampmann; Birger Tinz; George Havenith
Journal:  Int J Biometeorol       Date:  2011-05-31       Impact factor: 3.787

7.  The UTCI-clothing model.

Authors:  George Havenith; Dusan Fiala; Krzysztof Błazejczyk; Mark Richards; Peter Bröde; Ingvar Holmér; Hannu Rintamaki; Yael Benshabat; Gerd Jendritzky
Journal:  Int J Biometeorol       Date:  2011-05-24       Impact factor: 3.787

8.  A note on the evolution of the daily pattern of thermal comfort-related micrometeorological parameters in small urban sites in Athens.

Authors:  Ioannis Charalampopoulos; Ioannis Tsiros; Aikaterini Chronopoulou-Sereli; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2014-11-12       Impact factor: 3.787

9.  Comparison of different methods for the assessment of the urban heat island in Stuttgart, Germany.

Authors:  Christine Ketterer; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2014-12-24       Impact factor: 3.787

  9 in total

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