Collaborative Research: Facility Support: Transformation of Distributed Environmental Sensing

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。获得的资金将支持建立一个原型？水文测量设施？将被命名为环境多尺度传感中心（CMSE），允许广泛的社区首次获得光纤拉曼温度测量，能够近连续（1米）和精确（+/- 0.1℃）观察河底，湖泊或河口底部，积雪层或土壤层温度可达10公里远，其广泛目标是允许对水库性质进行前所未有的高分辨率时空观测，并改进水库之间的路径和通量的量化。当放置在溪流或河流中时，光纤DTS可以观察每次地下水流入的位置、温度和通量，计算精确的热量收支以确定潜热交换，并观察对成功捕获幼虫至关重要的微热栖息地。CMSE将由俄勒冈州立大学（ORST）和内华达大学（University of Nevada）合作管理和运营。雷诺(老)。为了支持先进水文系统模型的开发和验证，需要密集的环境参数观测和快速的数据传播。需要完善的模型来支持健全的水资源、林业和渔业管理，并更好地了解水库分布和气候之间的无数反馈。资金将用于支持联合国研究中心的一名博士后科学家和ORST的半时间技术职位。

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.