Abstract
The urban heat island (UHI) has been documented in large and small urban areas worldwide . Many metrics have been created to model the UHI . Among these, sky-view factor (SVF) has been accepted as a robust survey technique for capturing the urban geometry associated with longwave radiation storage and thus the urban heat island . SVF assessment has improved both in collecting and processing, but has limitations for modeling the UHI, as its accuracy is limited to areas of high urban density and geometry commonly found in the arrangement of human built landscapes . This paper develops a simple, more applicable, rapid and objective method for modeling UHI metrics using known surface geometry . We collected f ield data for SVF for 13 sites in Milwaukee, Wisconsin, USA, and quantified SVF using f ish-eye photography . Regression results suggest that a geometric parameter (combining a height/width ratio and a built-up ratio) is the best predictor of SVF
Recommended Citation
Shaker, Richard R. and Drezner, Taly Dawn
(2010)
"A New Technique for Predicting the Sky-View Factor for Urban Heat Island Assessment,"
The Geographical Bulletin: Vol. 51:
Iss.
2, Article 2.
Available at:
https://digitalcommons.kennesaw.edu/thegeographicalbulletin/vol51/iss2/2