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Tracer Gauge: An Automated Dye Dilution Gauging System For Ice-affected Streams

机译:示踪计:用于受冰影响的溪流的自动染料稀释计系统

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In-stream flow protection programs require accurate, real-time streamflow data to aid in the protection of aquatic ecosystems during winter base flow periods. In cold regions, however, winter streamflow often can only be estimated because in-channel ice causes variable backwater conditions and alters the stage-discharge relation. In this study, an automated dye dilution gauging system, a tracer gauge, was developed for measuring discharge in ice-affected streams. Rhodamine WT is injected into the stream at a constant rate, and downstream concentrations are measured with a submersible fluorometer. Data loggers control system operations, monitor key variables, and perform discharge calculations. Comparison of discharge from the tracer gauge and from a Cipoletti weir during periods of extensive ice cover indicated that the root-mean-square error of the tracer gauge was 0.029 m~3 s~(-1) or 6.3% of average discharge for the study period. The tracer gauge system can provide much more accurate data than is currently available for streams that are strongly ice affected and, thus, could substantially improve management of in-stream flow protection programs during winter in cold regions. Care must be taken, however, to test for the validity of key assumptions, including complete mixing and conservative behavior of dye, no changes in storage, and no gains or losses of water to or from the stream along the study reach. These assumptions may be tested by measuring flow-weighted dye concentrations across the stream, performing dye mass balance analyses, and evaluating breakthrough curve behavior.
机译:溪流保护程序需要准确,实时的溪流数据,以帮助在冬季基本溪流期保护水生生态系统。但是,在寒冷地区,通常只能估算冬季的流量,因为河道内的冰会引起可变的回水条件并改变水位流量关系。在这项研究中,开发了一种自动染料稀释计量系统(示踪仪),用于测量受冰流中的排放。罗丹明WT以恒定的速率注入物流中,下游浓度用潜水式荧光计测量。数据记录仪控制系统操作,监视关键变量并执行排放量计算。比较示踪量规和Cipoletti堰在大面积冰盖期间的流量,发现示踪量规的均方根误差为0.029 m〜3 s〜(-1)或平均排放量的6.3%。学习时段。示踪计系统可以提供比当前受冰影响严重的溪流更为准确的数据,因此可以大大改善寒冷地区冬季冬季溪流保护程序的管理。但是,必须小心以检验关键假设的有效性,包括完全混合和染料的保守行为,存储没有变化,沿着研究范围流入或流出的水量没有得失。这些假设可以通过测量整个流中的流量加权染料浓度,执行染料质量平衡分析以及评估突破曲线行为来进行测试。

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