Collaborative Research: an autonomous profiling vehicle for concurrent acoustic, visual and environmental measurements in the mesopelagic ocean
Collaborative Research: an autonomous profiling vehicle for concurrent acoustic, visual and environmental measurements in the mesopelagic ocean
批准号:
2123560
负责人:
Amy Maas
金额:
$18.56万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31
中文摘要
海洋的中上层区域,深度在200米到1500米之间,是一个复杂的物理过程、生物环境和动物群落的混合体,它们在一定的时间和空间尺度上相互作用。由于固有的局限性和船载仪器、声学测量、远程操作和拖曳车辆系统收集的测量数据的非同步性,中远海的采样仍然很差。该项目将开发一种新型自主机器人仪器,用于收集物理、视觉和声学数据,为100微米至10厘米大小的动物提供同步的环境、丰度、分类和尺寸结构数据。这套传感器,加上非破坏性推进系统和新系统的操作灵活性,将解决我们对海洋中水区生态理解的关键知识空白。该车辆将在北大西洋的几次巡航中进行测试。研究人员将利用正在进行的百慕大大西洋时间序列(BATS)数据集进行交叉比较和验证。该项目还将为罗德岛大学、石溪大学和百慕大海洋科学研究所(BIOS)的本科生和研究生创造研究机会。公众宣传将通过与威廉·m·戴维斯职业技术高中、罗德岛海上教师计划和BIOS中大西洋机器人教育(MARINE)计划的合作来促进。这些活动将发展支持STEM教育和下一代科学标准的活动。拟议的仪器将是一种隐形垂直剖面车辆。传感器套件将包括可操纵的多频(38/70/200 kHz)宽带声学、立体声低光成像、水下视觉剖面仪(UVP6)以及温度、盐度、氧气、叶绿素、浊度、光束衰减和光合有效辐射(PAR)的环境传感器。垂直推进将通过内部泵送容积压载系统实现,该系统将在车辆周围产生最小的干扰,以减少因净拖曳和推进器驱动车辆的偏差观测而导致的规避行为。弱光相机将使分类记录和大小区分大型生物和胶状动物不能定量捕获在网拖。同时使用的声学和环境数据将比单独使用船载系统提供更完整的栖息地信息。有了这些能力,仪器将占据一个未填补的利基在中层感应。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The mesopelagic region of the ocean, between 200 and 1500 meters deep, is home to a complex mixture of physical processes, biological environments and animal communities that interact over a range of temporal and spatial scales. The mesopelagic remains poorly sampled due to the inherent limitations and asynchrony of measurements collected with ship-based instruments, acoustic surveys, remotely operated and towed vehicle systems. This project will develop a novel autonomous robotic instrument to collect physical, visual and acoustic data that will provide concurrent environmental, abundance, taxonomy and size structure data for animals ranging from 100 microns to 10 centimeters in size. The suite of sensors, coupled with a non-disruptive propulsion system and the operational flexibility of the new system will address critical knowledge gaps in our understanding of the ecology of the ocean's midwater zone. The vehicle will be tested on several cruises in the North Atlantic. The researchers will leverage the ongoing Bermuda Atlantic Time Series (BATS) datasets for cross-comparison and validation. This project will also create research opportunities for undergraduate and graduate students at the University of Rhode Island, Stony Brook University and the Bermuda Institute of Ocean Sciences (BIOS). Public outreach will be facilitated through a partnership with the William M. Davies, Jr. Career and Technical High School, the Rhode Island Teacher-At-Sea program and the BIOS Mid-Atlantic Robotics IN Education (MARINE) program. These activities will develop activities to support STEM education and Next Generation Science Standards.The proposed instrument will be a stealthy vertical profiling vehicle. The sensor suite will consist of steerable multiple-frequency (38/70/200 kHz) broadband acoustics, stereo low light imaging, an Underwater Vision Profiler (UVP6), and environmental sensors for temperature, salinity, oxygen, chlorophyll, turbidity, beam attenuation and photosynthetically active radiation (PAR). Vertical propulsion will be achieved by an internal pumped volume ballasting system, which will create minimal disturbance around the vehicle to reduce avoidance behaviors known to bias observations from net tows and thruster-powered vehicles. Low light cameras will enable taxonomic documentation and size discrimination of larger organisms and gelatinous animals not quantitatively captured in net tows. The concurrent acoustics and environmental data will provide more complete habitat information than is possible with shipboard systems alone. With these capabilities the instrument will occupy an unfilled niche for sensing in the mesopelagic.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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负责人:Amy Maas
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依托单位:
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批准号:1624380
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项目类别:Standard Grant
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财政年份:2016
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负责人:Amy Maas
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依托单位:
国内基金
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