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Abstract:
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Abstract—Urban Heat Island (UHI) and Air pollution are typical negative byproducts of urban expansion and population growth, decent natural outdoor ventilation can be a crucial mitigation of UHI effect and optimization of urban thermal condition, it also contributes to enhancing human comfort and reducing energy consumption, negative effects of pollutants concentrated in high density built environment can substantially be relieved through optimal air flow. Based upon RS derivation, GIS modeling, spatial analysis, and CFD modeling, the research employs remote sensing image and geographic information data to investigate the demand of enhancing urban ventilation. Taking the Fuzhou Olympic Complex as a case study, Landsat7-ETM+ data and Single-Channel algorithm are applied to identify the distribution of near surface temperature as a primary requirement of urban ventilation optimization, the components of urban wind field and ventilation mechanism are then investigated through study of the breeze and monsoon of the city in terms of wind direction and frequency, such information are to be the input of CFD simulation to analyze the micro-scale ventilation mechanism, while architectural and natural elements are taken into account, the urban built environment is treated holistically, upon which the 2, 2.5 and 3 dimensional, the simulation can also be used to verify the relationship between air flow and urban morphology in terms of physical indicators including roughness, sinuosity, porosity and etc.. The methodology of wind path detection and exploration derived from the research can be utilized to guide and support the planning of urban ventilation path.
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