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An expanded rating curve model to estimate river discharge during tidal influences across the progressive-mixed-standing wave systems

机译:一种扩展的评级曲线模型,以估算河流在渐进式混合波系统中的潮汐影响期间

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Empirically quantifying tidally-influenced river discharge is typically laborious, expensive, and subject to more uncertainty than estimation of upstream river discharge. The tidal stage-discharge relationship is not monotonic nor necessarily single-valued, so conventional stage-based river rating curves fail in the tidal zone. Herein, we propose an expanded rating curve method incorporating stage-rate-of-change to estimate river discharge under tidal influences across progressive, mixed, and standing waves. This simple and inexpensive method requires (1) stage from a pressure transducer, (2) flow direction from a tilt current meter, and (3) a series of ADP surveys at different flow rates for model calibration. The method was validated using excerpts from 12 tidal USGS gauging stations during baseflow conditions. USGS gauging stations model discharge using a different more complex and expensive method. Comparison of new and previous models resulted in good R 2 correlations (min 0.62, mean 0.87 with S.D. 0.10, max 0.97). The method for modeling tidally-influenced discharge during baseflow conditions was applied de novo to eight intertidal stations in the Mission and Aransas Rivers, Texas, USA. In these same rivers, the model was further expanded to identify and estimate tidally-influenced stormflow discharges. The Mission and Aransas examples illustrated the potential scientific and management utility of the applied tidal rating curve method for isolating transient tidal influences and quantifying baseflow and storm discharges to sensitive coastal waters.
机译:经验量化的河流放电通常是费力,昂贵的,并且经受比上游河流放电的估计更不确定性。潮汐阶段 - 放电关系不是单调也不一定单值,因此传统的基于阶段的河流额定曲线在潮汐区失败。在此,我们提出了一种扩展的评级曲线方法,该方法包含阶段 - 变化率,以估计河流,混合和站立波的潮汐影响下的河流。这种简单且廉价的方法需要(1)阶段从压力传感器,(2)从倾斜电流表的流动方向,(3)在不同流速下的一系列ADP调查进行模型校准。在基流条件期间使用来自12个潮汐USGS测量站的摘录验证了该方法。 USGS测量站模型放电使用不同的复杂和昂贵的方法。新的和以前模型的比较导致良好的R 2相关性(最小0.62,平均0.87,S.D.0.10,MAX 0.97)。在美国德克萨斯州特派团和奥拉斯河中的八个潮间站应用了基础流动条件下的防平地放电的方法。在这些相同的河流中,该模型进一步扩展以识别和估计各种风暴排放。特派团和奥斯纳斯例子说明了应用潮额定曲线方法的潜在科学和管理效用,用于隔离瞬态潮汐影响,量化河流和风暴排放到敏感的沿海水域。

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