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Acoustic characterization of submerged aquatic vegetation: military and environmental monitoring applications

机译:水下水生植物的声学特性:军事和环境监测应用

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The acoustic characteristics of submerged aquatic vegetation (SAV) were investigated in order to enhance the performance of mine-hunting sonars in littoral regions. The species of SAV investigated was Zostera marina, commonly known as eelgrass. In situ measurements were carried out in the shallow water eelgrass beds of Narragansett Bay, Rhode Island. Side-scan and single beam sonars were used with a Manta mine training shape as a target. The experiments clearly illustrate the backscatter and masking effects of SAV in the 100-500 kHz frequency range. These experiments also aided in determination of distribution and density of seagrass. Remote sensing of seagrass beds is important for a variety of environmental applications. Physical techniques for detection and characterization are labor and cost intensive and provide little insight into spatial distribution. Optical-based techniques are limited by water clarity and frequently result in systematic underestimation of the extent of seagrasses. Active hydroacoustic techniques have shown the ability to detect seagrasses, but the phenomenology behind detection is poorly understood. Based on the data from laboratory acoustic measurements, hydroacoustic approaches for wide area detection and mapping are discussed and several are demonstrated within areas of established eelgrass beds in Narragansett Bay.
机译:为了提高沿海地区排雷声纳的性能,研究了水下水生植被的声学特性。被调查的SAV物种是Zostera marina(俗称鳗e草)。原位测量是在罗德岛纳拉甘西特湾的浅水鳗草床上进行的。侧面扫描和单束声纳与Manta地雷训练形状一起用作目标。实验清楚地说明了SAV在100-500 kHz频率范围内的反向散射和掩蔽效应。这些实验还有助于确定海草的分布和密度。海草床的遥感对于各种环境应用都很重要。用于检测和表征的物理技术是劳动和成本密集型的​​,并且对空间分布的了解很少。基于光学的技术受到水的清晰度的限制,并经常导致对海草范围的系统性低估。主动水声技术已显示出检测海草的能力,但对检测背后的现象学了解甚少。基于实验室声学测量的数据,讨论了用于大面积检测和制图的水声方法,并在Narragansett湾已建立的鳗草床区域内演示了几种方法。

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