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High resolution 3-D shapes of fish schools: A new method to use the water column backscatter from hydrographic MultiBeam Echo Sounders

机译:鱼群的高分辨率3-D形状:一种使用水文MultiBeam回声测深仪的水柱反向散射的新方法

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The Multi-Beam Echo Sounder (MBES) is a tool that allows getting information about bathymetric, morphological and compositional characteristics of the seabed surface. Although this is still one of the most important features in hydrography, MBES can now also discriminate the acoustic imaging of the water mass by recording sampled reflectivity measurements along each beam. In this paper, two MBES, namely the Kongsberg Simrad EM3002D (300 kHz) and the Reson Seabed8125-H (455 kHz), which are generally employed to study seafloor characteristics, have been used for the identification of fish schools in the water column at very high resolution. In particular, a methodology to identify and analyse fish schools through the Water Column Backscatter (WCB) is presented. This methodology made it possible to obtain a wide variety of fish schools shape in 3-D (in our case, anchovies and sardines), which allowed a first study on the ecological behaviour of the schools according to their shape. All data were collected along with Kongsberg Simrad EK60 scientific echo sounder, allowing also a comparison of different approaches to fish schools identification. The data presented in this paper were collected during two oceanographic surveys within the project MEDIAS (MEDiteranean International Acoustic Survey), Ancheva 2010 and Ancheva 2011. Beyond the mere visualization of school shapes, we also attempted to gain numerical values of the school volumes and to realize a more detailed study of anchovies and sardines school shapes. In line with the current literature, this study showed that there are three main factors influencing the shape of a school, namely the depth of the bottom, the time of the day when data are acquired and the density of individuals in the investigated area. (C) 2016 Elsevier Ltd. All rights reserved.
机译:多波束回声测深仪(MBES)是一种工具,可用于获取有关海床表面的测深,形态和成分特征的信息。尽管这仍然是水文学中最重要的功能之一,但MBES现在还可以通过记录沿每个波束的采样反射率测量值来区分水团的声像。在本文中,两个MBES,即Kongsberg Simrad EM3002D(300 kHz)和Reson Seabed8125-H(455 kHz),通常用于研究海底特征,已被用于识别位于很高的分辨率。特别是,提出了一种通过水柱后向散射(WCB)识别和分析鱼群的方法。这种方法使以3D形式获得各种各样的鱼群形状成为可能(在我们的例子中是凤尾鱼和沙丁鱼),这使得可以根据它们的形状对鱼群的生态行为进行首次研究。所有数据均与Kongsberg Simrad EK60科学回声测深仪一起收集,还可以比较鱼类学校鉴定的不同方法。本文提供的数据是在MEDIAS(地中海国际声学调查)项目(Ancheva 2010和Ancheva 2011)的两次海洋学调查中收集的。除了对学校形状进行可视化之外,我们还尝试获得学校数量的数值,并实现对detailed鱼和沙丁鱼学校形状的更详细研究。根据当前的文献,这项研究表明,影响学校形态的主要因素有三个,即底部的深度,一天中获取数据的时间以及所调查区域中个人的密度。 (C)2016 Elsevier Ltd.保留所有权利。

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