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MRI: Acquisition of two Autonomous Moored Profilers for Lake Ecosystem Research

MRI: Acquisition of two Autonomous Moored Profilers for Lake Ecosystem Research
MRI:购买两台自主系泊分析仪用于湖泊生态系统研究
批准号:
1126453
负责人:
Jay Austin
金额:
$48.52万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-15 至 2013-08-31

项目摘要

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中文摘要
翻译
PI申请资金购买两个自主系泊分析器,以及每个平台的一套传感器,用于在苏必利尔湖部署。美国面积最大的淡水湖。所要求的仪器将提供与生物地球化学过程相关的时间尺度上的物理、生物和化学数据,并将这一详细视图扩展到冬季,由于该地区冰盖变化,现有数据非常稀少,这对于基于冰的观测来说不够稳定,但足够强大,可以阻止该地区任何可用的研究船进行工作。使用两台自主系泊剖面仪将使PI能够详细说明近岸与近海地区生物地球化学过程的重要性。更广泛的影响:明尼苏达大学德卢斯分校对本科教育有着坚定的承诺,这是它的主要重点。大湖天文台(LLO)将这一点与出色的研究记录结合起来。这项研究将扩大我们对大型湖泊内部复杂运作的认识。项目研究与教育的紧密结合无疑将提高本科生和研究生的经验,并向公众提供信息。这是一个新的、潜在的有价值的应用程序,对于一个相对较新的、未经证实的剖析器类来说,它有很高的成功概率,并且对这个新兴的剖析器类的测试和演示做出贡献,对研究社区具有很高的价值。
英文摘要
The PI's request funding to acquire two Autonomous Moored Profilers, and a suite of sensors for each platform, for deployment in Lake Superior, the world?s largest freshwater lake by area. The requested instrumentation will provide physical, biological, and chemical data on timescales relevant to biogeochemical processes, and will expand this detailed view into the winter season, for which existing data is extremely sparse due to the variable ice cover in this region, which is not stable enough for ice-based observations but is sufficiently robust to preclude work on any of the available research vessels in the region. The use of two autonomous moored profilers will allow the PI's to detail the importance of biogeochemical processes in nearshore vs offshore regimes.Broader Impacts: The University of Minnesota-Duluth has a strong commitment to undergraduate education, being its principal focus. The Large Lakes Observatory (LLO) combines that with an excellent track record in research. The study will expand our knowledge of the intricacies of the inner workings of large lakes. The close integration of project research with education will most certainly enhance experience for students both undergraduates and graduates and inform the public. This is a new and potentially valuable application for a relatively new and unproven class of profiler that has a high probability of success and contributing to the testing and demonstration of this emerging class of profilers has high value to the research community.
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