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Ocean Surface Water Currents by Large-Scale Particle Image Velocimetry Technique

机译:大规模粒子图像速度技术的海洋表面水流

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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 (R~2 = 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:本研究调查了相机技术和大规模粒子成像速度(LPHIV)测量技术的能力,以在北海南海的潮气入口中获得时空尺寸的海面速度条件。 LSPIV为河流和水文研究中的各种应用表明了可靠的结果,尽管如此,LPIV在海上海事研究中突出了较小。以高动态速度范围为特征,在潮汐循环中改变水平,流动的波浪和方向,与内陆研究区域相比,海上域表示不同的边界条件。我们呈现了基于海洋环境遥感的应用程序可能性,程序以及计算机视觉和数据融合方法。从高分辨率视觉相机观察到的海面的视频数据被分析为潮汐循环中的自然示踪剂。适用于普遍环境条件的质量评估,以及用声学多普勒电流分析仪(ADCP)和水柱中的电流表的并发观察,用于水柱,用于水柱。 LPIV方法显示了水流动方向波动的可靠结果。允许进入表面流量的速度平均值,用于动态范围为0.15-1.5 m / s。比较LPIV和原位测量,我们在潮汐循环内实现±0.5米/秒的偏差,并且良好的相关性(R〜2 = 0.82)给出适当的光线条件。此处应用的光学方法为现代环境监测提供了一种互补的替代方案,可实现海洋学研究领域的空间和时间解决的水文信息。

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