...
首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >LiDAR-Based Approach for Urban Ventilation Corridors Mapping
【24h】

LiDAR-Based Approach for Urban Ventilation Corridors Mapping

机译:基于LiDAR的城市通风走廊制图方法

获取原文
获取原文并翻译 | 示例
           

摘要

Cities, recognized as one of the roughest surfaces, significantly reduce wind velocity. This leads to a greater concentration of pollution and increased temperature in urban areas. A proper urban design may promote the air flow and mitigate these negative phenomena. This paper describes a novel approach to detect and analyze the potential urban ventilation corridors. The concept is based on the morphometric analyses, where roughness parameters (such as roughness length and displacement height), as well as porosity are investigated as opposed to previous studies. Commonly available light detection and ranging (LiDAR) data enable more detailed terrain study, as the topography and obstacle features (type, dimensions, and porosity) might be investigated. In comparison to the previous studies and long adapted practices, this approach takes advantage of all information incorporated in LiDAR data to deliver even more accurate results. The comparison of the detected corridors, with the officially designed corridors in our study area in Warsaw, suggests inaccuracies in their extent (only 40% of their areas might still be functioning) and calls for an evaluation. The results deliver areas that may be recognized as urban ventilation corridors and serve as air regeneration and ventilation system. They may also be used for developing new solutions for continuously evolving cities.
机译:被认为是最粗糙的表面之一的城市大大降低了风速。这导致了城市中污染的集中和温度的升高。适当的城市设计可以促进空气流通并减轻这些不利现象。本文介绍了一种检测和分析潜在的城市通风走廊的新颖方法。该概念基于形态计量学分析,其中与以前的研究相反,研究了粗糙度参数(例如粗糙度长度和位移高度)以及孔隙率。常用的光检测和测距(LiDAR)数据可进行更详细的地形研究,因为可能会调查地形和障碍物特征(类型,尺寸和孔隙度)。与以前的研究和长期采用的实践相比,该方法利用了LiDAR数据中包含的所有信息来提供更准确的结果。将检测到的走廊与我们在华沙的研究区中正式设计的走廊进行比较,发现其范围不准确(仅其区域的40%可能仍在起作用),因此需要进行评估。结果提供了可能被认为是城市通风走廊并用作空气再生和通风系统的区域。它们还可用于为不断发展的城市开发新的解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号