利用高阶光谱探测里奥内格罗河下游流域(阿根廷)河流与潮汐相互作用中的非线性现象

IF 1.6 Q4 ENVIRONMENTAL SCIENCES Anthropocene Coasts Pub Date : 2024-05-31 DOI:10.1007/s44218-024-00046-w
Grethel García Bu Bucogen, Gabriel Eduardo Huck, María Cintia Piccolo, Vanesa Yael Bohn, Gerardo Miguel Eduardo Perillo
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引用次数: 0

摘要

在暴风雨过境或上游大坝放水期间,河流排水量、天文潮汐波和当地地貌之间的非线性相互作用会在里奥内格罗河下游流域(阿根廷)引发严重洪灾。因此,本文旨在探测和研究该地区的非线性过程。本文利用 2003 - 2021 年期间三个水文站的每小时水位数据和流量时间序列对水道水动力进行了描述。验潮仪数据集用于描述潮汐周期对水文过程的影响。利用谐波分析和傅立叶高阶频谱分析了非线性过程对天文潮汐周期和河流排水量的影响,并选择了两个研究案例作为补充。谐波分析结果表明,潮汐波进入内格罗河上游会调节其水文系统,呈现出水柱的半日变化。此外,高阶频谱分析还检测到风暴条件下信号中的非线性相互作用,以及线性潮汐成分向浅水谐波的能量再分配。此外,非线性相互作用导致潮汐退潮阶段延迟,从而延长了洪水持续时间。这类研究有助于了解风暴期间激活的洪水机制。
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Nonlinearities detection in river-tide interaction in Río Negro hydrographic lower basin (Argentina) using higher-order spectra

The nonlinear interactions between river discharge, astronomical tidal wave, and local geomorphology during storm passage or water release from upstream dams can produce severe floods in the Río Negro lower basin (Argentina). For this reason, this paper aims to detect and study nonlinear processes in this area. The watercourse hydrodynamics was described using hourly water level data from three limnigraphs during 2003 – 2021 and flow time series. The tide gauge dataset was employed to describe the influence of tidal cycles on the hydrological regimen. Nonlinear processes' impact on the astronomical tidal cycle and river discharge was analyzed using Harmonic Analysis, and Fourier higher-order spectra, also it was complemented with the selection of two study cases. Harmonic Analysis results showed that the tidal wave entry upstream of the Río Negro modulates its hydrological regime, presenting the water column semidiurnal variations. Also, high-order spectral analysis detected nonlinear interactions in the signal in storm conditions with an energetic redistribution among the linear tidal constituents toward shallow water harmonics. Additionally, nonlinear interactions provoked a delay in the tidal ebb phase with a consequential extension of flooding duration time. This type of study contributes to the knowledge of the flood mechanisms activated during a storm.

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