Differences Between Effective and Physical Roughness Parameter- A Headwater Mountain River Experiment

S. Cedillo, L. Timbe, E. Sánchez-Cordero, E. Samaniego, K. Narea, A. Alvarado
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Abstract

One-dimensional hydrodynamic models (HM) are widely used in the hydraulic modeling of rivers and channels. The result obtained with this type of model depends largely on correct estimation the roughness parameter. The value of the roughness parameter obtained through a HM calibration process differs from the one measured in the field. Hence, the objective of this research is focused on identifying the difference between physical and effective roughness for different morphologies present in Mountain Rivers. Physical roughness was indirectly measured with field data and Manning equation, while Effective roughness was found through GLUE experiments using water depth as validation data in one dimensional models in HEC RAS. Physical and effective roughness coefficients have shown differences depending on the morphology. In Cascade and Step-pool the physical roughness is higher than effective roughness, while in Plane-bed effective roughness is higher than physical roughness. The differences are attributed to the deviations that occur between the real conditions and the flow idealizations in an 1D - HD model. For any modelling application is important to research roughness values used previously and avoid formulations or tables which are based on field measurements.
有效粗糙度参数与物理粗糙度参数的差异——一个山源河流试验
一维水动力模型(HM)广泛应用于河流和河道的水力模拟。这种模型的结果很大程度上取决于粗糙度参数的正确估计。通过HM校准过程获得的粗糙度参数值与现场测量值不同。因此,本研究的目的集中在确定山地河流中不同形态的物理粗糙度和有效粗糙度之间的差异。物理粗糙度通过现场数据和Manning方程间接测量,有效粗糙度通过GLUE实验以水深为验证数据,在HEC RAS的一维模型中得到。物理和有效粗糙度系数表现出不同的形貌。在梯级和阶梯池中,物理粗糙度大于有效粗糙度,而在平面床中,有效粗糙度大于物理粗糙度。这种差异是由于在一维-高清模型中实际条件与流动理想化之间发生的偏差造成的。对于任何建模应用来说,重要的是研究以前使用的粗糙度值,避免基于现场测量的公式或表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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