MRI: Development of a Smart 3-D Wireless Sensor Network For Terrain-Climate Research in Remote Mountainous Environments.

MRI：开发用于偏远山区环境地形气候研究的智能 3D 无线传感器网络。

• 批准号: 1040527
• 负责人: Timothy Link
• 金额: $ 56.33万
• 依托单位: Regents of the University of Idaho
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1040527&HistoricalAwards=false
• 关键词: MRI; Development; Smart; Wireless; Sensor

This Major Research Instrumentation award funds the development of an integrated sensor network to measure atmospheric, hydrologic, geospheric and biological processes along climatic, forest productivity and land use gradients. The smart wireless sensor network is located in the wildlands of Idaho at The Taylor Wilderness Research Station (TWRS) in the Frank Church River of No Return Wilderness (FCRW). The sensor network thus enables researchers to conduct novel and innovative climate change research in remote mountainous regions where data to support climate and ecological models are lacking. Developing sensor networks that function in such challenging environments is essential since mountains make up ~20% of the earth surface. Furthermore, mountainous regions include wilderness and other relatively pristine natural sites with limited human impact, which are indispensable benchmarks for comparison with human dominated sites. Data from the sensor network is used in climate and ecology research, to help train graduate students, and made available through the WWW for use by researchers beyond the University of Idaho. Additional outcomes from these research and teaching efforts will be broadly disseminated through abstracts and peer reviewed publications, as well as by active participation of students and faculty at professional meetings.

这项主要研究仪器奖资助开发一个综合传感器网络，以测量大气，水文，地球和生物过程沿着气候，森林生产力和土地使用梯度。 智能无线传感器网络位于爱达荷州的荒地，在泰勒荒野研究站（TWRS）在弗兰克教堂河不归荒野（FCRW）。 因此，传感器网络使研究人员能够在缺乏支持气候和生态模型的数据的偏远山区进行新颖和创新的气候变化研究。开发在这种具有挑战性的环境中发挥作用的传感器网络至关重要，因为山脉占地球表面的20%。此外，山区包括荒野和其他人类影响有限的相对原始的自然遗址，这是与人类占主导地位的遗址进行比较的不可或缺的基准。 来自传感器网络的数据用于气候和生态研究，以帮助培训研究生，并通过万维网提供给爱达荷州大学以外的研究人员使用。 这些研究和教学工作的其他成果将通过摘要和同行评审的出版物以及学生和教师积极参与专业会议来广泛传播。