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Mathematical model for paved surface summer and winter temperature: Comparison of calculated and measured temperatures
Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Behavioural Sciences and Learning.
2004 (English)In: Cold Regions Science and Technology, ISSN 0165-232X, Vol. 40, no 1-2Article in journal (Refereed) Published
Abstract [en]

A simulation model has been developed to calculate pavement temperature for both summer and winter conditions. Input data are hourly values for solar radiation, air temperature and wind velocity. Longwave radiation, incident to and outgoing from the pavement surface, is calculated from the air and pavement surface temperature, respectively. The portion of the incident shortwave radiation absorbed by the pavement surface is calculated from the albedo of the surface. By means of a finite difference approximation of the equation for conduction of heat, the pavement temperature profile is calculated. Apart from radiation and heat conduction, convection losses from the pavement surface are also calculated based on wind velocity, air temperature and surface temperature. The model is validated by using data from three different sections in the LTPP program USA and six different sections in Sweden. Here, hourly meteorological data as well as surface temperature are taken. One set of parameter values for albedo, emissivity, atmospheric downwelling longwave radiation and convection losses, giving a good correspondence for asphalt concrete pavement for summer conditions, and one set for winter conditions are given. © 2004 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2004. Vol. 40, no 1-2
Keyword [en]
Climatic data, Numerical modeling, Pavements, Surface temperature
National Category
Social Sciences
URN: urn:nbn:se:liu:diva-45583DOI: 10.1016/j.coldregions.2004.03.001OAI: diva2:266479
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-12

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Hermansson, Ann-Charlotte
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Faculty of Arts and SciencesDepartment of Behavioural Sciences and Learning
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