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

Acoustic characterization of submerged aquatic vegetation: military and environmental monitoring applications
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水下水生植被的声学特征:军事和环境监测应用

DOI:
10.1109/oceans.2000.882226
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发表时间:
2000
期刊:
OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158)
影响因子:
--
通讯作者:
B. Sabol
B. Sabol
中科院分区:
--
文献类型:
--
作者:
E. McCarthy;B. Sabol

文献摘要

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为了提高沿海地区水雷声纳的探测性能,研究了水下植被的声学特性。调查的SAV种是Zostera marina,俗称鳗草。在罗德岛纳拉甘西特湾的浅水鳗鱼草床上进行了现场测量。侧向扫描和单波束声纳使用蝠鲼地雷训练形状作为目标。实验清楚地说明了SAV在100- 500khz频率范围内的后向散射和掩蔽效应。这些实验也有助于确定海草的分布和密度。海草床遥感对各种环境应用具有重要意义。检测和表征的物理技术是劳动和成本密集型的,而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,并且经常导致对海草范围的系统性低估。主动水声技术已经显示出探测海草的能力,但探测背后的现象学却知之甚少。基于实验室声学测量数据,讨论了水声广域探测和测绘方法,并在纳拉甘西特湾已建立的大叶藻床区域内演示了几种水声方法。
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.