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dc.contributor.author Yao, R
dc.contributor.author Luo, Q
dc.contributor.author Li, B
dc.date.accessioned 2013-10-21T02:37:56Z
dc.date.available 2013-10-21T02:37:56Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/8805
dc.description.abstract Techniques for modelling urban microclimates and urban block surfaces temperatures are desired by urban planners and architects for strategic urban designs at the early design stages. This paper introduces a simplified mathematical model for urban simulations (UMsim) including urban surfaces temperatures and microclimates. The nodal network model has been developed by integrating coupled thermal and airflow model. Direct solar radiation, diffuse radiation, reflected radiation, long-wave radiation, heat convection in air and heat transfer in the exterior walls and ground within the complex have been taken into account. The relevant equations have been solved using the finite difference method under the Matlab platform. Comparisons have been conducted between the data produced from the simulation and that from an urban experimental study carried out in a real architectural complex on the campus of Chongqing University, China in July 2005 and January 2006. The results show a satisfactory agreement between the two sets of data. The UMsim can be used to simulate the microclimates, in particular the surface temperatures of urban blocks, therefore it can be used to assess the impact of urban surfaces properties on urban microclimates. The UMsim will be able to produce robust data and images of urban environments for sustainable urban design.
dc.language en
dc.subject Coupled thermal and airflow
dc.subject Solar radiation
dc.subject DEM (Digital Elevation Mode
dc.subject Nodal network
dc.subject Urban Microclimate simulation (UMsim)
dc.title A simplified mathematical model for urban microclimate simulation
dc.type Article-Full-text
dc.identifier.year 2011
dc.identifier.journal Building and Environment|
dc.identifier.issue 1
dc.identifier.volume 46
dc.identifier.database -
dc.identifier.pgnos 253-265


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