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基于无人机航拍的近地风场类别确定方法
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Method of Determining Near Ground Wind Field Category Based on UAV Aerial Photography
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    应用无人机航拍城市地区地面的照片,通过对照片进行识别可快速获取地面建筑物信息,进而有效地获得测区内地貌状况并且实现参数化.通过建立地面粗糙度Z0与地面粗糙度指数α的对应关系可以确定该地区近地风场类别,同时应用无人机搭载风速仪对该地区的风场和风剖面进行实测并通过分析获得了该地区的近地风场类别,进而对采用两种方法获得的近地风场类别识别结果进行了比较.结果表明,通过这两种方法判定的场地类别一致,且相对误差在5%以内.该研究实现了依据实际地貌判定同目标建筑相关的风场类别,所用方法具有广泛的适用性,研究结果可为城市地区的建筑抗风设计提供新思路.

    Abstract:

    With the identification of ground photos taken by unmanned aerial vehicles (UAV) in urban areas, information on ground buildings can be quickly obtained. And the geomorphic conditions in the survey area can be effectively obtained and parameterized. The category of the near ground wind field in this area can be determined by establishing the corresponding relationship between the ground roughness Z0 and the growrd roughness index α. At the same time, the wind field and wind profile in the area were measured by the anemometers carried by UAV, and the near ground wind field category in the area was obtained through analysis. The near ground wind field categories obtained by the two methods are compared. The results show that the site categories determined by the two methods are consistent, and the relative error is within 5%. The research realizes the judgment of wind field category related to the target building according to the actual landform, and the method proposed in the paper has broad applicability. The research results can provide new ideas for the wind resistance design of buildings in urban areas.

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LI Zhengnong?,DAI Xiangkui, PU Ou, WU Honghua.基于无人机航拍的近地风场类别确定方法[J].湖南大学学报:自然科学版,2023,(9):1~12

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  • 在线发布日期: 2023-10-07
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