Abstract
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 30:215-226 (2006) - doi:10.3354/cr030215 Modelling of the annual mean maximum urban heat island using 2D and 3D surface parameters János Unger* Department of Climatology and Landscape Ecology, University of Szeged, Egyetem utca 2, 6722 Szeged, Hungary *Email: unger@geo.u-szeged.hu ABSTRACT: The primary aim of this study was to reveal quantitatively what effect urban structure has on the development, magnitude and spatial distribution of the annual mean maximum urban heat island using a selected representative sample area in Szeged, Hungary. In order to quantify what effect urban structure has on the development of the mean urban heat island a relatively new surface parameter (weighted volumetric compactness) was used that characterises the volume, structure and thermodynamical role of buildings. This new parameter was used in conjucntion with other established surface parameters. How the new parameter and other surface parameters can pinpoint the magnitude and structure of the heat island was investigated. The compactness of approximately 11000 buildings in one-third of the town was determined by geoinformatical analysis. A stepwise multiple linear regression model was used to determine to what extent each parameter adds to the annual mean urban heat island intensity. According to the results presented here, the connection between compactness and the annual mean ('all weather') heat island intensity is stronger than with the sky view factor. Using this model-equation, the absolute deviations of the generated heat island (calculated for an independent 1 yr period) remained under 0.5°C throughout almost the entire investigated area of Szeged. The structure of the estimated heat island with its characteristic features showed clear similarities to the real conditions. KEY WORDS: Urban heat island · Urban surface parameters · Weighted volumetric compactness · Geoinformatical methods · Representative sample area · Stratified sampling · Stepwise multiple linear regression model Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 30, No. 3. Online publication date: April 26, 2006 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2006 Inter-Research.
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