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Stream Gauge Calibration of a Cave Stream Using Water Temperature Variability as a Tracer

机译:使用水温变化作为示踪剂的洞穴溪流径距标定

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摘要

Calibration of stream gauging stations involves water velocity measurements at various water levels to obtain discharge and to determine the rating curve. This process is laborious, often logistically challenging, or even impossible for streams that are only accessible at low flow. Here, we present an alternative method to obtain mean stream velocity by matching temperature variation patterns measured at two positions in the stream. Such water temperature variations are caused by snow melt or rainfall events and serve as natural tracers. The method is successfully applied to a karst cave stream that is only accessible at lowest flow. The installed high-precision data loggers provide sufficient data to obtain a relationship between water depth and mean velocity. The approximate rating curve, based on reach mean channel width, agrees well with results from dye tracer experiments. This cave stream shows the typical features of a steep step-pool stream such as a power law relation between mean velocity and discharge.
机译:测流站的校准涉及在各种水位下的水速测量,以获取流量并确定等级曲线。对于仅以低流量访问的流而言,此过程很费力,通常在逻辑上具有挑战性,甚至是不可能的。在这里,我们提出了一种替代方法,通过匹配在流中两个位置处测得的温度变化模式来获得平均流速度。此类水温变化是由融雪或降雨事件引起的,并充当自然示踪剂。该方法已成功应用于仅在最低流量下才能进入的喀斯特溶洞流。已安装的高精度数据记录器可提供足够的数据,以获取水深与平均速度之间的关系。基于到达平均通道宽度的近似额定曲线与染料示踪剂实验的结果非常吻合。该溶洞流显示出陡峭阶梯池流的典型特征,例如平均速度和流量之间的幂律关系。

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  • 来源
    《Water resources research》 |2019年第7期|5738-5750|共13页
  • 作者

    Luethi M. P.;

  • 作者单位

    Univ Zurich Dept Geog Zurich Switzerland;

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  • 正文语种 eng
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