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Prediction of Ventilation Paths in Urban Environments using Digitized Maps
Högskolan i Gävle.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. (Datavetenskap)
2009 (English)In: Proceedings of the IADIS International Conference Applied Computing 2009, 2009, 217-221 p.Conference paper, Published paper (Refereed)
Abstract [en]

Urban populations and the density of settlements constantly become higher. This leads to higher energy consumption and generally to deterioration of life comfort. Study of urban heat and cool islands is of great importance for social community planners and building engineers. Ventilation paths are defined by turbulent mass, momentum and energy transport conditions and can thus be modeled. This area is usually studied by measurements of the conditions and air flows in laboratory environments. This paper presents a method for the prediction of free ventilation paths in a small city using digital imagery. A digitized map created from a eographic data base is used as input. Image analysis is performed in order to create an optimal edge image. A modified Hough transform is applied. Points of interest are defined and surroundings are calculated. These points are inputs to a parameter space. As a result a free wind passage is predicted based on the position of the observer. Prediction is done by calculation of possible straight lines in a parameter space. Finally, the method is verified by comparison with position vectors from the same space in the image and the best fitted path is chosen.

Place, publisher, year, edition, pages
2009. 217-221 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-112156OAI: oai:DiVA.org:uu-112156DiVA: diva2:285107
Available from: 2010-01-11 Created: 2010-01-11 Last updated: 2010-03-01Bibliographically approved

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Åhlén, JuliaSeipel, Stefan

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