Evaluation of the Applicability of STIV to Wave Characteristic Measurement in the Swash Zone

Yeon-Joong Kim, Jong-sung Yoon, M. Hasegawa, Jae-Hoon Jeong
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引用次数: 1

Abstract

The swash zone is an area that causes a change in the shape of a beach by generating sediment transport under the influence of intermittent waves, where wave run-up and run-down are infinitely repeated in the final stage of the shoaling process. However, the ability to predict the sediment transport is extremely poor despite the swash zone being an extremely important area in terms of offshore disaster prevention. In particular, many researchers are conducting studies on the development of various types of observation equipment and analysis techniques because the turbulent flow of active fluid dominates the sediment transport and is an extremely important parameter for the analysis of the transport mechanism. However, in flow velocity measurement, it is difficult to measure a quantitative representative flow velocity over time because the swash zone has a shallow water depth and an active turbulent flow. Expensive equipment and short-time measurement are also limitations. Therefore, the purpose of this study was to evaluate the applicability of nonintrusive space-time image velocimetry(STIV) to analyze the flow characteristics of fluid in the swash zone, such as the movement velocity and period of intermittent waves in the shoaling process. The prediction accuracy was improved by removing various noises included in the images with the introduction of artificial intelligence for immediate and accurate calculation of the representative flow velocity using images that can be obtained easily. Consequently, it was discovered that the spatial representative flow velocity occurring in the swash zone, change in the wave period according to the shoaling effect, rip current and surface velocity can be measured.
STIV在激流区波浪特性测量中的适用性评价
冲刷带是一个区域,在间歇性波浪的影响下产生沉积物运输,从而导致海滩形状的变化,在这里,波浪的上升和下降在浅滩过程的最后阶段无限重复。然而,尽管冲积带在海上灾害预防方面是一个极其重要的区域,但预测沉积物移动的能力却非常差。特别是各种观测设备和分析技术的发展,许多研究人员正在进行研究,因为活动流体的湍流在泥沙输运中起主导作用,是分析输运机制的一个极其重要的参数。然而,在流速测量中,由于激流区水深较浅,湍流活动频繁,很难测量出定量的具有代表性的随时间变化的流速。昂贵的设备和短时间的测量也是限制。因此,本研究的目的是评估非侵入式时空图像测速(STIV)技术在分析激流带流体流动特征(如滩化过程中间歇波的运动速度和周期)中的适用性。通过去除图像中包含的各种噪声,引入人工智能,利用容易获得的图像,即时准确地计算出具有代表性的流速,提高了预测精度。结果发现,可以测量出激流带发生的空间代表性流速、随浅滩效应而变化的波浪周期、离岸流和表面速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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