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一种扩展的水位流量关系模型,用于估算渐进混合驻波系统中潮汐影响下的河流流量。

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

机构信息

School of the Environment, Washington State University Vancouver, Vancouver, WA, United States of America.

Department of Marine Science, University of Texas Marine Science Institute, Port Aransas, TX, United States of America.

出版信息

PLoS One. 2019 Dec 18;14(12):e0225758. doi: 10.1371/journal.pone.0225758. eCollection 2019.

Abstract

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 R2 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.

摘要

定量测量受潮汐影响的河流流量通常既费力又昂贵,而且比估计上游河流流量更具不确定性。潮汐阶段-流量关系不是单调的,也不一定是单值的,因此传统的基于水位的河流率定曲线在潮汐区失效。本文提出了一种扩展的率定曲线方法,纳入了水位变化率,以估算渐进波、混合波和驻波条件下受潮汐影响的河流流量。该简单且经济的方法需要(1)压力传感器测量水位,(2)倾斜流速计测量水流方向,以及(3)在不同流量下进行一系列 ADP 测量以进行模型校准。该方法通过在基流条件下使用来自 12 个美国地质调查局(USGS)潮汐测量站的摘录进行了验证。USGS 测量站使用不同的更复杂和昂贵的方法来估算流量。新模型和旧模型的比较结果表明,相关系数 R2 较好(最小值为 0.62,平均值为 0.87,标准差为 0.10,最大值为 0.97)。该方法用于模拟基流条件下受潮汐影响的流量,并首次应用于美国德克萨斯州米申河和阿兰萨斯河的 8 个潮间带站。在这两条河流中,该模型进一步扩展,以识别和估算受潮汐影响的风暴流量。米申河和阿兰萨斯河的例子说明了所应用的潮汐率定曲线方法在隔离瞬态潮汐影响以及量化对敏感沿海水域的基流和风暴流量方面的潜在科学和管理实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff79/6919628/66018caac61b/pone.0225758.g001.jpg

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