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Modeling depth distributions of overland flows

机译:建模陆上水流的深度分布

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Hydrological and erosion models use water depth to estimate routing velocity and resultant erosion at each spatial element. Yet the shear stress distribution imposed on the soil surface and any resulting flow detachment and rill incision is controlled by the full probability distribution of depths of overland flow. Terrestrial Laser Scanning (TLS) is used in conjunction with simple field-flume experiments to provide high-resolution measures of overland flow depth-distributions for three semi-arid hillslope transects with differing soil properties. A two-parameter gamma distribution is proposed as the optimum model for depths of both interrill and rill flows. The shape and scale parameters are shown to vary consistently with distance downslope reflecting the morphological signature of runoff processes. The scale parameter is related to the general increase of depths with discharge (P<0.0001) as flows gradually concentrate; the shape parameter is more related to the soil surface roughness and potentially provides a control on the rate of depth, but also velocity increase with discharge. Such interactions between surface roughness and overland flows are of crucial importance for flow hydraulics and modeling sediment transport.
机译:水文和侵蚀模型使用水深来估计路径速度和每个空间要素的侵蚀。然而,施加在土壤表面的切应力分布以及由此产生的水流脱离和小溪切缝,都是由陆流深度的全部概率分布控制的。陆地激光扫描(TLS)与简单的现场水槽实验结合使用,可为三个具有不同土壤特性的半干旱山坡样带提供高分辨率的陆上水流深度分布测量。提出了两参数伽马分布作为钻探间和钻探流深度的最佳模型。结果表明,形状和比例参数随距离下坡的变化而一致,反映出径流过程的形态特征。比例参数与随着流量逐渐集中而随深度的一般增加有关(P <0.0001)。形状参数与土壤表面粗糙度更相关,并且可能提供深度速率的控制,但速度也会随排放而增加。表面粗糙度和陆上水流之间的这种相互作用对于水流水力和沉积物传输模型至关重要。

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