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Ocean surface water currents by large-scale particle image velocimetry technique

机译:大尺度粒子图像测速技术研究海面水流

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This study investigates the capability of camera technology and Large Scale Particle Imaging Velocimetry (LSPIV) measurement techniques to access the sea surface velocity conditions in spatiotemporal dimensions in a tidal inlet, located in the southern North Sea. LSPIV shows reliable results for various applications in riverine and hydrographic studies, nonetheless LSPIV is up to date less prominent in offshore maritime studies. Characterized by high dynamic velocity ranges, changing water levels, waves and directions of flow within tidal cycles, the maritime domain implies varying boundary conditions compared to inland study areas. We present application possibilities, procedures as well as computer vision and data fusion approaches based on remote sensing in the oceanographic environment. Video data of the sea surface, observed from high-resolution visual camera, are analyzed for natural tracers within tidal cycles. Quality assessments were applied for prevailing environment conditions as well as concurrent observations with an Acoustic Doppler Current Profiler (ADCP) and current meter in the water column for hydrographic conditions. The LSPIV method showed reliable results for the fluctuation of water flow direction. Velocity mean magnitudes permitted to access surface flow for a dynamic range of 0.15-1.5 m/s. Comparing LSPIV and in situ measurements, we achieved deviations in the range of ± 0.5 m/s within a tidal cycle and with a good correlation (R2 = 0.82) given appropriate light conditions. The optical method applied here within offers a complementary alternative for modern environmental monitoring enabling space- and time-resolved hydrographic information for the oceanographic research domain.
机译:这项研究调查了相机技术和大规模粒子成像测速(LSPIV)测量技术访问位于北海南部潮汐入口时空维度的海面速度条件的能力。 LSPIV在河流和水文研究中的各种应用中显示出可靠的结果,尽管如此,LSPIV在近海海事研究中仍不那么重要。与内陆研究区相比,海域具有高动态速度范围,潮汐周期内不断变化的水位,波浪和水流方向的特点,意味着边界条件的变化。我们介绍了基于海洋环境中遥感的应用可能性,程序以及计算机视觉和数据融合方法。从高分辨率视觉摄像机观察到的海面视频数据,在潮汐周期内进行了自然示踪剂分析。对主要环境条件进行了质量评估,并在水柱中使用声学多普勒电流剖面仪(ADCP)和水表同时进行了观测。 LSPIV方法对于水流方向的波动显示出可靠的结果。在0.15-1.5 m / s的动态范围内允许进入表面流的速度平均幅度。比较LSPIV和原位测量,在适当的光照条件下,我们在一个潮汐周期内获得了±0.5 m / s的偏差,并且具有良好的相关性(R 2 = 0.82)。此处采用的光学方法为现代环境监测提供了一种替代方案,可实现海洋研究领域的空间和时间解析水文信息。

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