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• W2788192325 abstract "The aerodynamic property of urban areas is a necessary component in current urban planning and design. Rather than the morphological models introduced in Part II, which provides modeling results in several hundred meters resolution, this chapter introduces a semiempirical approach to model the pedestrian-level wind speed at the neighborhood scale. The balance between momentum transfer and drag force in both an averaged sense over an area and a moving air particle is discussed in order to extend conventional frontal area density ( left( {lambda_{text{f}} } right) ) to a point-specific parameter ( left( {lambda_{{{text{f_point}}}} } right) ). Through correlation with data from wind tunnel experiments, ( left( {lambda_{{{text{f_point}}}} } right) ) was considered a good index to assess the pedestrian-level wind speed at a test point with multiple input wind directions. Regression equations were developed to map the pedestrian-level wind environment at 1 × 1 m pixel resolution. This modeling–mapping approach requires less computational time and supportive technology than CFD simulations. Meanwhile, the modeling method provides accurate results at high resolution from a practical point of view. Therefore, the modeling results for urban wind environment can be well integrated into the neighborhood-scale design. Using this approach, urban designers can estimate the neighborhood-scale pedestrian-level wind speed and optimize proposed planning at the onset of the planning process." @default.
• W2788192325 created "2018-03-06" @default.
• W2788192325 creator A5059652487 @default.
• W2788192325 date "2018-01-01" @default.
• W2788192325 modified "2023-09-27" @default.
• W2788192325 title "Semiempirical Model for Fine-Scale Assessment of Pedestrian-Level Wind in High-Density Cities" @default.
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• W2788192325 doi "https://doi.org/10.1007/978-981-10-5451-8_4" @default.
• W2788192325 hasPublicationYear "2018" @default.
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