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Model analyses of the contribution of in-channel processes to sediment concentration hysteresis loops

机译:航道内过程对沉积物浓度滞后回线的贡献的模型分析

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Sediment concentration (SC)-water discharge (Q) relations in rivers are typically governed by multiple and relatively complex processes. Due to hysteresis effects, sediment discharges can differ for similar or equivalent water discharges, which causes scatter in empirical datasets and may decrease the predictive power of SC rating curves. Such hysteresis effects must therefore be understood and accounted for to make dependable predictions for river system management. The overall objectives of this study are to develop modelling approaches suitable for reproducing and predicting hysteresis effects at larger scales and to investigate the possible contribution of in-channel processes (erosion and deposition) to sediment concentration hysteresis loops. To investigate relevant field-scale conditions, we develop a one-dimensional dynamic sediment transport model of the downstream Tuul River (northern Mongolia), investigating in-channel processes along a 141 km stretch during a hydrological year. The results show that the present modelling approach can reproduce both anti-clockwise and clockwise hysteresis effects. Importantly, in-channel processes alone can cause considerable anti-clockwise hysteresis effects without being reinforced by catchment processes such as hillslope erosion. Such specific contributions from in-channel processes introduced data scatter into the sediment rating curves, decreasing their R-2-values from unity to approximately 0.5 to 0.6. More generally, possible changes in the number or magnitude of high-flow events, caused by climatic or other anthropogenic factors, could influence total sediment deposition, which was primarily found to occur during relatively short high-flow events. Such potential changes also have important implications for the possible spreading of polluted sediments. (C) 2015 The Authors. Published by Elsevier B.V.
机译:河流中的沉积物浓度(SC)-水排放(Q)关系通常受多个且相对复杂的过程控制。由于滞后效应,对于相似或等效的排水量,沉积物排放量可能会有所不同,这会导致经验数据集发生分散,并可能降低SC额定曲线的预测能力。因此,必须了解并考虑这种滞后效应,以便对河流系统进行可靠的预测。这项研究的总体目标是开发适用于更大范围再现和预测滞后效应的建模方法,并研究通道内过程(侵蚀和沉积)对沉积物浓度滞后回路的可能贡献。为了调查相关的田间规模条件,我们开发了Tuul河下游(蒙古北部)的一维动态泥沙运移模型,调查了一个水文年沿141 km延伸的河道内过程。结果表明,当前的建模方法可以再现逆时针和顺时针方向的磁滞效应。重要的是,仅通道内过程会引起明显的逆时针滞后效应,而不会受到诸如山坡侵蚀等集水过程的加重作用。通道内过程的这种特殊贡献将数据分散到沉积物额定曲线中,使它们的R-2-值从单位减小到大约0.5到0.6。更一般而言,由气候或其他人为因素引起的高流量事件数量或大小的可能变化,可能会影响总的沉积物沉积,而沉积物的沉积主要是在相对短的高流量事件中发生的。这种潜在的变化也对污染沉积物的可能扩散具有重要意义。 (C)2015作者。由Elsevier B.V.发布

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