Modelling and mapping the urban thermal environment
Carregando...
Data
Autores
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Resumo
In order to develop a methodology and tools that could help on thermal urban planning, this paper proposes a modelling of urban thermal environment based on the application of Artificial Neural Networks (ANN) and GIS tools. The study area was a residential neighbourhood in a medium sized city, where urban air temperatures at the pedestrian level could be collected. At the same time, rural temperatures that were registered and made available by the city meteorological station site, have been obtained. Urban features of these points were determined by the following characteristics: street's orientation, building volumes, proportion of green areas, proportion of built and non-built areas and sky view factors (SVF). Based on the differences of urban and rural air temperatures registered at 7 p.m., a model applying Artificial Neural Networks was developed. The results of that model allowed the simulation of values for the entire area and the creation of thermal maps in a GIS environment.
Descrição
Palavras-chave
Artificial neural networks (ANR), Geographic information systems (GIS), Sky view factors (SVF), Urban heat island (UHI)
Idioma
Inglês
Citação
Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2007, p. 1-9.
Itens relacionados
Financiadores
Outras formas de acesso
