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Statistical modelling of pedestrian wind speed using high‐resolution digital surface models

Conference contribution
Authors Lars Johansson
Fredrik Lindberg
Shiho Onomura
Björn Holmer
Sofia Thorsson
Published in The Eight International Conference on Urban Climates
Issue abstract 183
Publication year 2012
Published at Department of Earth Sciences
Language en
Keywords Digital Surface Models, Sky View Factor, Fetch, Frontal Area Index
Subject categories Climate Research, Physical Geography, Meteorology and Atmospheric Sciences

Abstract

Spatial variations of near ground wind speed (2magl) within urban areas are simulated by using a statistical model. The model is built upon the statistical relationship between derivatives extracted from digital surface models characterizing urban geometries (sky view factor, fetch, frontal area index) and wind speed, using statistical regression techniques. The geometric parameters are calculated for a number of urban settings in Gothenburg, Sweden. Wind speed patterns are derived using the three-dimensional microclimate model, ENVI-met. The model closely estimate the wind speed within-the major parts of the model domains such as in squares, and narrow streets as well as canyons perpendicular to the incoming wind direction. However, the output wind speed patterns are largely different from the wind speed simulated by ENVI-met in wide streets and around buildings where wind speed is high. Statistical models, as presented here, would be useful for not only climatologist/ meteorologist but also urban designers to consider wind modes depending on urban geometries and also to estimate thermal comfort influenced by wind.

Page Manager: Webmaster|Last update: 9/11/2012
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