Collaborative Research: Facility Support: Transformation of Distributed Environmental Sensing
Collaborative Research: Facility Support: Transformation of Distributed Environmental Sensing
批准号:
0929638
负责人:
Scott Tyler
金额:
$44.69万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31
中文摘要
该奖项由《2009年美国复苏和再投资法案》(公法111-5)资助。赠款将支持建立一个原型?水文测量设施?该中心将被命名为环境多尺度传感中心(CMSE),首次使广大社区能够获得光纤拉曼测温,能够对河底、湖泊或河口底部、积雪或土壤水平温度进行近连续(1米)和精确(+/-0.1℃)的观测,距离高达10公里,其广泛目标是能够对水库特性进行前所未有的高分辨率空间和时间观测,并改进水库之间路径和通量的量化。当放置在小溪或河流中时,光纤DTS可以观察每一次地下水流入的位置、温度和流量,计算准确的热量平衡以确定潜水交换,并观察对成功招募幼鱼至关重要的微温生境。CMSE将由俄勒冈州立大学(或ST)和内华达大学合作管理和运营。雷诺(UNR)。需要对环境参数进行密集观测,并迅速传播数据,以支持高级水文系统模型的开发和验证。需要完善的模型,以支持健全的水资源、林业和渔业管理,并更好地了解水库分布与气候之间的无数反馈。资金将支持在北卡罗来纳大学的一名博士后科学家和在科技大学的半职技术职位。
英文摘要
0929638TylerThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Granted funds will support establishment of a prototype ?Hydrologic Measurement Facility? to be named the Center for Multiscale Sensing of the Environment (CMSE), allowing for the first time broad community access to fiber optic Raman temperature measurement capable of near continuous (1 m) and precise (+/- 0.1 deg C) observations of river bottom, lake, or estuary bottom, snow pack or soil horizon temperatures over distances as great at 10 km with the broad goal of allowing for unprecedented high resolution spatial and temporal observations of water reservoir properties and improved quantification of the pathways and fluxes between reservoirs. When placed in a stream or river, fiber optic DTS allows for observation of the location, temperature, and flux of each groundwater inflow, calculation of an exact heat budget to determine hyporheic exchange, and observation of micro-thermal habitats critical to successful larval fish recruitment. CMSE will be managed and operated in a collaborative partnership between Oregon State University (ORST) and the University of Nevada ? Reno (UNR). Dense observations of environmental parameters with rapid data dissemination are needed to support advanced hydrologic system model development and validation. Refined models are needed to support sound water resource, forestry and fisheries management and a better understanding of the myriad feedbacks between water reservoir distribution and climate. Funds will support a postdoctoral scientist at UNR and a half time technical position at ORST.
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