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A methodology for acoustic and geospatial analysis of diverse artificial-reef datasets

机译:多种人工礁数据集的声学和地理空间分析方法

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摘要

A methodology is introduced for understanding fish-school characteristics around artificial reefs and for obtaining the quantitative relationship between geospatial datasets related to artificial-reef environments using a new geographic information system application. To describe the characteristics of fish schools (energetic, positional, morphological characteristics and dB difference range), acoustic data from two artificial reefs located off the coast of Shimonoseki, Yamaguchi prefecture, Japan, were used. To demonstrate the methodology of the geospatial analysis, diverse datasets on artificial reefs, such as fish-school characteristics, marine-environmental information from a conductivity, temperature, and depth sensor, information on artificial reefs, seabed geographic information, and sediment information around the reefs, were utilized. The habitat preference of fish schools was demonstrated quantitatively. The acoustic density of fish schools is described with respect to the closest distance from reefs and the preferred reef depths, the relationship between fish schools and environmental information was visualized in three dimensions, and the current condition of the reefs and their connection to seabed type is represented. This geospatial method of analysis can provide a better way of comprehensively understanding the circumstances around artificial-reef environments.
机译:引入了一种方法,以了解围绕人工礁的鱼群特征,并使用新的地理信息系统应用程序获取与人工礁环境有关的地理空间数据集之间的定量关系。为了描述鱼类群的特征(能量,位置,形态特征和dB差异范围),使用了位于日本山口县下关海岸附近的两个人工鱼礁的声学数据。为了演示地理空间分析的方法,我们提供了各种人工鱼礁的数据集,例如鱼群特征,电导率,温度和深度传感器的海洋环境信息,人工鱼礁的信息,海床地理信息以及周围的沉积物信息。礁石被利用。定量证明了鱼类学校的生境偏好。根据离礁石最近的距离和首选礁石深度来描述鱼群的声密度,从三个维度上可视化了鱼群与环境信息之间的关系,并且当前礁石的状况及其与海床类型的联系为代表。这种地理空间分析方法可以提供一种更好的方式来全面了解人工鱼礁环境的情况。

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