Comparison of models calculating the sky view factor used for urban climate investigations
- 1.2k Downloads
The sky view factor (SVF) describes the surface geometry and is a commonly used and important measure in urban climate investigations whose aim is the exploration of effects of a complex urban surface on climatological processes in built-up areas. A selection of methods and models for calculating the SVF was compared. For this purpose, fish eye images were taken at several locations in the city of Szeged, southern Hungary. The fish eye images equidistantly follow linear transects to cover a range of SVF values and to analyze the reaction of the methods to a continuously changing environment. The fish eye pictures were evaluated by three methods: the method according to Steyn (Atmos-Ocean 18(3):245–258, 1980) implemented in a GIS-Script, the “Edit free sky view factor” tool of the RayMan model and BMSkyView. The SVF values at the coordinates of the fish eye pictures were calculated with three numerical models (SkyHelios, ArcView SVF extension, and SOLWEIG) with a 3D building data base as input. After comparing the results of the first run, a deviation occurs. The deviation disappears after implementing an option to include a weighting factor in some of the models.
The research was supported by the Hungarian Scientific Research Fund (OTKA K-67626). The first author was supported by the ERASMUS program.
- Makra L, Sánta T, Matyasovsky I, Damialis A, Karatzas K, Bergmann KC, Vokou D (2010) Airborne pollen in three European cities: detection of atmospheric circulation pathways by applying three-dimensional clustering of backward trajectories. J Geophys Res 115:16. doi: 10.1029/2010JD014743 CrossRefGoogle Scholar
- Matuschek O, Matzarakis A (2010) Estimation of sky view factor in complex environment as a tool for applied climatological studies. Berichte des Meteorologischen Instituts der Albert-Ludwigs-Universität Freiburg 20:534–539Google Scholar
- Matzarakis A (2001) Die thermische Komponente des Stadtklimas. Berichte des Meteorologischen Institutes der Universität Freiburg. Nr. 6Google Scholar
- Matzarakis A, Matuschek O (2010) Sky view factor as a parameter in applied climatology—rapid estimation by the SkyHelios model. Meteorol Z 20:39–45Google Scholar
- Oke TR (1987) Boundary layer climates. Methuen, LondonGoogle Scholar
- Ratti C, Richens P (1999) Urban texture analysis with image processing techniques. In: Augenbroe G, Eastman Ch (eds) Proceedings of the 8th International Conference on Computer Aided Architectural Design Futures held in Atlanta, GeorgiaGoogle Scholar
- Richert C (2010) GIS-gestützte Analyse des klimatischen Potentials der Windenergie in der Region Freiburg im Breisgau auf der Grundlage von Messungen und Klimasimulationen. Freiburg. Magister Scientiarum Thesis, unpublished. Supervisors: Prof. Dr. Rüdiger Glaser (Department of Physical Geography), Prof. Dr. Andreas Matzarakis (Meteorological Institute), Albert-Ludwigs-University of FreiburgGoogle Scholar
- Rzepa M, Gromek B (2006) Variability of sky view factor in the main street canyon in the center of Łódź. Preprints of the Sixth International Conference on Urban Climate, Göteborg, Sweden, pp. 854–857Google Scholar
- Stewart ID, Oke T (2010) Thermal differentiation of “local climate zones” using temperature observations from urban and rural field sites. In: Sailor DJ, Chen F, Lundquist JK (eds) Proceedings of the Ninth Symposium on the Urban Environment held by the American Meteorological Society in Keystone, ColoradoGoogle Scholar
- Tukey JW (1985) The problem of multiple comparisons (1953) (unpublished manuscript). In: The Collected Works of John W. Tukey. Vol. II: Time Series. Wadsworth Advanced Books & Software, Monterey, pp. 1965–1984Google Scholar
- VDI (1998) VDI 3787, Part I: Environmental Meteorology, Methods for the human biometeorological evaluation of climate and air quality for the urban and regional planning at regional level. Part I: Climate. Beuth, BerlinGoogle Scholar