Citation

Chapman L, Thornes JE. Sci. Total Environ. 2006; 360(1-3): 68-80.

Affiliation

Entice Technology Ltd, School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK. l.chapman@bham.ac.uk

Copyright

(Copyright © 2006, Elsevier Publishing)

DOI

10.1016/j.scitotenv.2005.08.025

PMID

16226795

Abstract

A GIS-based model for the prediction of road surface temperature is presented that has the ability to explain up to 74% of the spatial variation in road surface temperature in the West Midlands, UK. The approach combines basic spatial data sets with a synergy of surveying techniques to produce a geographical parameter database that drives the spatial component of a road weather prediction model. By measuring and modelling geographical parameters such as altitude, landuse, road construction and the sky-view factor, pre-existing components of road ice prediction systems can be united to provide a dynamic road ice prediction system.

Language: en