Modeling of urban wind ventilation using high resolution airborne LiDAR data
作者： Fen Peng , Man Sing Wong , Yiliang Wan , Janet E. Nichol
DOI: 10.1016/J.COMPENVURBSYS.2017.01.003
关键词:
摘要: Abstract Accurate mapping of wind ventilation in an urban environment is challenging when large spatial coverage required. This study has developed a GIS-based model for estimating the frontal area index (FAI) buildings, infrastructure, and trees using very high resolution airborne light detection ranging (LiDAR) data, which can also be used to investigate “wall effect” caused by high-rise buildings at finer scale along coasts Kowloon Peninsula Hong Kong. New algorithms were created improving previous utilizing LiDAR data raster unit, as well considering backward flow coefficient between windward leeward buildings. The corridors estimated FAI least cost path (LCP) analysis analyzed. optimal passing through peninsula observed east-west west-east directions. In addition, these paths validated with computer fluid dynamics (CFD) i.e. Airflow Analysis ESRI. newly calculates greater accuracy compared vector-based building polygons. further depicts are considered obstacles ventilation. results environmental planning authorities identify corridors, scenario redevelopment.
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