无人机在鱼类迁徙工具/ drones以样本为基础的模拟水流模式在鱼市场退化的过程中产生

Dariia Strelnikova, Gernot Paulus, Sabine Käfer, Karl Anders, P. Mayr, H. Mader, Ulf Scherling, Rudi Schneeberger
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引用次数: 2

摘要

水流模式是帮助鱼类发现鱼梯的重要指标。这项可行性研究探讨了在阿尔卑斯河的鱼梯附近非侵入式检测表面流动模式的可能性。新开发的方法概念涉及使用高分辨率无人机视频和光学分析方法“粒子图像测速”(PIV)。PIV计算的流型与螺旋桨流计的水力参考测量值吻合较好。这项可行性研究的结果可以看作是朝着为鱼梯附近的流量分析建立一种有效和标准化的方法迈出的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drohnenbasierte optische Ermittlung von heterogenen Oberflächenströmungsmustern in der Nähe von Fischaufstiegshilfen / Drone-based Optical Detection of Heterogeneous Surface Flow Patterns in the Vicinity of Fish Ladders
Flow patterns are an important indicator that helps fish to discover fish ladders. This feasibility study investigates the possibility of a non-intrusive detection of surface flow patterns near a fish ladder in an Alpine river. The newly developed method concept involves the use of high-resolution drone based videos and the optical analysis method “Particle Image Velocimetry” (PIV). The flow patterns calculated with PIV are in good agreement with the hydraulic reference measurements, which were performed with the help of a propeller current meter. The results of this feasibility study can be seen as a first step towards the creation of an efficient and standardized methodology for flow analysis in the vicinity of fish ladders.
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来源期刊
AGIT- Journal fur Angewandte Geoinformatik
AGIT- Journal fur Angewandte Geoinformatik Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
0.60
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0.00%
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