SGER: The Non-Contact Determination of River Flow Rates

ABSTRACTPROPOSAL没有。当前位置主要研究人员：埃德温·A·考恩研究机构：康奈尔大学河流流速的非接触式测定美国地质调查局（USGS）负责监测美国7000多条河流的流速。这种监测任务既昂贵又危险，因为它需要美国地质勘探局人员在风暴期间直接进行现场测量。美国地质勘探局，以及世界各地负责河流流量监测的其他机构，对开发远程非接触式流量测量能力非常感兴趣。该拨款旨在开发一种基于红外的定量成像系统，用于通过远程非接触手段确定地表速度场和深度速度场。后者将通过考虑非平衡条件下河流流动的垂直湍流热结构来实现。提出的图像分析算法将源自PI先前的粒子图像测速（PIV）开发工作。这项工作的最终目标是开发一种强大的工具，用于非接触式监测河流流量。红外测量技术将有广泛的用途，除了河流流量监测，包括直接测量地表更新，用于空气-水-气体转移研究，浅层泥沙流（如冲浪区）中沉积物的近地表运输，以及其他两相流（如加气流（如冲浪区））的近地表条件。

ABSTRACTPROPOSAL NO.: CTS-0341911PRINCIPAL INVESTIGATORS: EDWIN A COWENINSTITUTION: CORNELL UNIVERSITY THE NON-CONTACT DETERMINATION OF RIVER FLOW RATESThe United States Geological Survey (USGS) is responsible for monitoring the flow rates for over 7000 rivers across the United States. This monitoring mandate is expensive and often hazardous, as it requires direct in-the-field measurements by USGS personnel during storm events. The USGS, as well as other agencies responsible for river flow monitoring around the world, is extremely interested in the development of remote non-contact flow rate measurement capabilities. This grant is to develop an infrared-based quantitative imaging system for the determination of surface velocity fields and velocity fields at depth via remote non-contact means. The latter will be accomplished by considering the vertical turbulent thermal structure of river flows under non-equilibrium conditions. The proposed image analysis algorithms will be derived from the PI's previous development work with particle image velocimetry (PIV). The ultimate goal of this work is to develop a robust tool for the non-contact monitoring of river flows. The infrared measurement technique will have wide ranging uses beyond river flow monitoring including direct measurements of surface renewal for air-water gas transfer studies, near-surface transport of sediment in shallow sediment laden flows (such as the swash zone), as well as near-surface conditions in other two-phase flows such as aerated flows (e.g., the surf zone).