Sediment Storage and Fluvial Sediment Transport Linkages Across an Experimental Flood Sequence

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Journal of Geophysical Research: Earth Surface Pub Date : 2024-09-01 DOI:10.1029/2024JF007772
Marwan A. Hassan, J. Kevin Pierce, Shawn M. Chartrand
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Abstract

River channels are maintained by coordination between flow hydraulics, sediment supply, riparian vegetation, and sediment transport. This coordination is challenging to understand in natural flow regimes, where climatic and environmental drivers produce episodic flood and sediment supply events. To better understand the response of channels to flood sequences, we have undertaken laboratory flume experiments on sediment storage and export across a sequence of alternating hydrographs. Our experiments indicate that accumulated sediment storage before floods predicts sediment transport during floods, with sediment storage depletion during floods causing a nonlinear variation of sediment-transport rates through time. Likewise, sediment storage between floods follows a growth-to-saturation pattern, whereby the sediment transport gradually increases toward the sediment feed rate depending on the occupation of available sediment storage zones. To describe these non-linear variations, we developed a mathematical model which represents sediment transport and storage as a coupled dynamical system. This work highlights the crucial role that within-channel sediment storage and its history play in determining sediment export in rivers.

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试验性洪水序列中的沉积物存储和冲积物迁移联系
河道是通过水流水力学、泥沙供应、河岸植被和泥沙输运之间的协调来维持的。在自然水流系统中,这种协调很难理解,因为在自然水流系统中,气候和环境因素会产生偶发性洪水和泥沙供应事件。为了更好地了解河道对洪水序列的响应,我们在实验室水槽中进行了一系列交替水文过程中的沉积物存储和输出实验。我们的实验表明,洪水前的累积沉积物储量可预测洪水期间的沉积物运移,洪水期间的沉积物储量耗竭会导致沉积物运移速率随时间发生非线性变化。同样,洪水间歇期的沉积物储量也遵循增长到饱和的模式,即根据可用沉积物储量区的占用情况,沉积物运移率逐渐向沉积物进给率方向增长。为了描述这些非线性变化,我们建立了一个数学模型,将泥沙输运和储存作为一个耦合动力系统来表示。这项工作强调了河道内泥沙存储及其历史在决定河流泥沙输出中的关键作用。
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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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