Comparison of Measured Bedload with Predictions from Transport Equations in an Unarmored Ephemeral Channel

Rebecca Moskal, D. Cadol
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Abstract

The Arroyo de los Pinos is a tributary of the Rio Grande that transports relatively coarse sediment into the river annually through flash flood events. This coarse-grained sediment can lead to problems for downstream infrastructure, such as sedimentation in reservoirs and increased channel maintenance requirements for flow conveyance. Over the past five years, a comprehensive database of bedload, suspended sediment, and meteorological-hydrologic measurements have been developed at the confluence of the channel to the Rio Grande. Bedload flux is monitored by three Reid-type slot samplers at 1-minute resolution, flow stage is continuously monitored with pressure transducers, and surface flow velocity is measured periodically using large scale particle imagery velocimetry (LSPIV) to produce a stage-discharge rating curve. Bed material samples have been collected and sieved, and channel geometry has been mapped in detail using drone imagery and structure from motion (SfM) photogrammetry. This dataset enables assessment of predicted bedload using a wide range of well-established equations including Meyer-Peter and Müller, Wilcock and Crowe, Einstein, Parker, Ackers-White, and Engelund-Hansen which are calculated and compared in HEC-RAS and BedloadWeb. Crucially, we can compare the quality of prediction from these methods against the observed bedload transport at a range of flow depths between 5 – 50 cm (discharge at 0.25 – 10 m3/s). The Pinos dataset provides an excellent opportunity to compare a range of transport equations and consider their relative performance in ephemeral, semi-arid, flash flood driven fluvial systems. Successful equation selection will enable the extension of our temporally-limited direct bedload measurements to approximate annual bedload yields from the Arroyos de los Pinos, as well as from other similar ephemeral tributaries to the Rio Grande and elsewhere. The best fitting bedload transport equations for the Arroyo de los Pinos are the Meyer-Peter and Müller and the Wilcock and Crowe equations.
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无装甲瞬变通道中实测层载与输运方程预测的比较
阿罗约德洛斯皮诺斯河是里约热内卢格兰德河的一条支流,每年通过山洪事件将相对较粗的沉积物输送到河中。这种粗粒度沉积物可能会给下游基础设施带来问题,例如水库的沉积和水流输送对河道维护要求的增加。在过去的五年中,在河道与里约热内卢格兰德的汇合处建立了一个综合的河床、悬浮泥沙和气象水文测量数据库。通过三个reid型槽式采样器以1分钟的分辨率监测层载通量,通过压力传感器连续监测流动级,使用大尺度颗粒成像测速仪(LSPIV)定期测量地表流速,以生成级流量额定曲线。收集和筛选了床上物质样本,并使用无人机图像和运动结构(SfM)摄影测量法详细绘制了通道几何形状。该数据集可以使用广泛的成熟方程(包括Meyer-Peter和m ller, Wilcock和Crowe, Einstein, Parker, Ackers-White和Engelund-Hansen)来评估预测的床载,这些方程在HEC-RAS和BedloadWeb中进行计算和比较。至关重要的是,我们可以将这些方法的预测质量与在5 - 50 cm流深范围内(流量为0.25 - 10 m3/s)观测到的层质输运进行比较。Pinos数据集提供了一个很好的机会来比较一系列输运方程,并考虑它们在短暂的、半干旱的、山洪驱动的河流系统中的相对性能。成功的方程选择将使我们暂时有限的直接层载测量得以扩展,以近似Arroyos de los Pinos以及其他类似的短暂支流到里约热内卢Grande和其他地方的年层载产量。最适合阿罗约德洛斯皮诺斯的层质输运方程是Meyer-Peter和m - ller方程和Wilcock和Crowe方程。
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