Investigation of the Effect of Roughness Coefficient of Kashafrud River on the Water Surface Level Focusing on Vegetation

Sorush Niknamian
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Abstract

The roughness coefficient is one of the important parameters in the hydraulics of open channels, which is a function of various factors; therefore, its exact determination is of great importance. In practical studies such as the determination of riverbed limits or river management plans, the roughness coefficient is generally determined by field observations and based on engineering judgments. In this study, the Cowan, Jarvela, and Velzen methods have been used to calculate the vegetation roughness, in addition, the exact roughness coefficient of the Kashafrud River was determined using field observations and experimental results. Finally, the total roughness coefficient was used as input data in the HEC-RAS software to calculate the water level. It was revealed that vegetation density and water level were the most important factors in determining the roughness coefficient, and factors like flow velocity or vegetation height were less effective in comparison with the afore-mentioned factors. It was also found that the Jarvela and Velzen methods had the lowest and highest roughness coefficients, respectively; in other words, the Jarvela and Velzen methods provided an underestimate and an overestimate of vegetation roughness, respectively.
以植被为中心的喀什鲁德河粗糙度系数对水面影响的研究
明渠的粗糙度系数是明渠水力学中的重要参数之一,它是多种因素的函数;因此,它的准确测定是非常重要的。在实际研究中,如确定河床界限或河流管理方案,粗糙度系数一般是根据现场观测和工程判断确定的。本研究采用Cowan、Jarvela和Velzen方法计算植被粗糙度,并结合野外观测和实验结果确定了卡沙弗鲁德河的精确粗糙度系数。最后将总粗糙度系数作为HEC-RAS软件的输入数据进行水位计算。结果表明,植被密度和水位对粗糙度系数的影响最大,流速和植被高度对粗糙度系数的影响较小。Jarvela法和Velzen法的粗糙度系数分别最低和最高;换句话说,Jarvela和Velzen方法分别低估和高估了植被粗糙度。
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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