Topography‐Based Particle Image Velocimetry of Braided Channel Initiation

Youwei Wang, Ajay B. Limaye, A. Chadwick
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Abstract

River channels shape landscapes through gradual migration and abrupt avulsion. Measuring the motion of braided rivers, which have multiple channel threads, is particularly challenging, limiting predictions for landscape evolution and fluvial architecture. To address this challenge, we extended the capabilities of image‐based particle image velocimetry (PIV)—a technique for tracking channel threads in images of the surface—by adapting it to analyze topographic change. We applied this method in a laboratory experiment where a straight channel set in non‐cohesive sediment evolved into a braided channel under constant water and sediment fluxes. Topography‐based PIV successfully tracked the motion of channel threads if displacements between observations were less than the channel‐thread width, consistent with earlier results from image‐based PIV. We filtered spurious migration vectors with magnitudes less than the elevation grid spacing, or with high uncertainties in magnitude and/or direction. During braided channel initiation, migration rates varied with the channel planform development, showing an increase as incipient meanders developed, a decrease during the transitional braiding phase, and consistently low values during the established braiding phase. In this experimental setup, migration rates varied quasi‐periodically along stream at the half scale of initial meander bends. Lateral migration with respect to the mean flow direction was much more pronounced than streamwise migration, accounting for approximately 80% of all detected motion. Results demonstrate that topography‐based PIV has the potential to advance predictions for bank erosion and landscape evolution in natural braided rivers as well as bar preservation and stratigraphic architecture in geological records.
基于地形的粒子图像测速仪测量编织水道的起始点
河道通过逐渐迁移和突然撕裂塑造地貌。测量具有多条河道线的辫状河流的运动尤其具有挑战性,这限制了对地貌演变和河道结构的预测。为了应对这一挑战,我们扩展了基于图像的粒子图像测速仪(PIV)的功能--这是一种在地表图像中跟踪河道线的技术,通过调整它来分析地形变化。我们在实验室实验中应用了这一方法,在恒定的水流和沉积物流量作用下,非粘性沉积物中的直线河道演变成了辫状河道。如果两次观测之间的位移小于河道线宽,基于地形的 PIV 成功地跟踪了河道线的运动,这与之前基于图像的 PIV 的结果一致。我们过滤了幅值小于海拔网格间距或幅值和/或方向不确定性较高的虚假迁移矢量。在辫状河道的起始阶段,迁移率随河道平面形态的发展而变化,初生蜿蜒河道的迁移率上升,过渡辫状河道阶段的迁移率下降,而成熟辫状河道阶段的迁移率则持续较低。在这一实验装置中,迁移率在最初蜿蜒弯曲的半尺度上沿河道呈准周期性变化。相对于平均流向的侧向迁移比顺流迁移明显得多,约占所有检测到的运动的 80%。研究结果表明,基于地形的 PIV 有可能推动对自然辫状河流的河岸侵蚀和景观演变以及地质记录中的栅栏保存和地层结构的预测。
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