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Surface flows from images: ten days of observations from the Tiber River gauge-cam station

机译:图像的地表流量:从台伯河水位测量仪站进行的十天观测

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摘要

Fully remote surface flow measurements are crucial for flow monitoring during floods and in difficult-to-access areas. Recently, optics-based surface flow monitoring has been enabled through a permanent gauge-cam station on the Tiber River, Rome, Italy. Therein, a system of lasers and an internet protocol camera equipped with two optical modules afford video acquisitions of the river surface every 10 minutes, In this work, we establish a standard video-processing protocol by analyzing more than 10 Gb of footage data captured during low discharge regime from May 2nd to 11th, 2015, through particle tracking velocimetry (PTV). We show that good image-based velocity data can be obtained throughout the day - from 6 am to 8 pm - despite the challenging experimental settings (direct sunlight illumination, mirror-like river surface, and overlying bridge shadow). Further, we demonstrate that images captured with a 27° angle of view optical sensor lead to average velocity measurements in agreement with available radar data. Consistent with similar optical methods, PTV is not applicable in case of adverse illumination and at night; however, it is more robust for dishomogeneous distributions of floaters in the field of view.
机译:全面的远程地面流量测量对于洪水和难以进入的地区的流量监控至关重要。最近,通过位于意大利罗马的台伯河上的一个永久性测距凸轮站启用了基于光学的表面流量监测。其中,激光系统和配备有两个光学模块的互​​联网协议摄像机每10分钟提供一次河面视频采集。在这项工作中,我们通过分析超过10 Gb的镜头数据来建立标准的视频处理协议2015年5月2日至11日通过粒子跟踪测速(PTV)实现低排放。我们展示了尽管挑战性的实验设置(直接的日光照明,类似镜子的河面和覆盖的桥面阴影),但全天(从早上6点到晚上8点)都可以获得基于图像的良好速度数据。此外,我们证明了使用27°视角的光学传感器捕获的图像会导致平均速度测量值与可用雷达数据一致。与类似的光学方法相同,PTV不适用于不利照明和夜间。但是,在视场中,对于漂浮物的同质分布而言,它更强大。

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