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METHODOLOGY FOR CONVEYANCE ESTIMATION IN TWO-STAGE STRAIGHT, SKEWED AND MEANDERING CHANNELS

机译:两级直线,偏斜和蜿蜒频道的运输估计方法

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Reliable estimates of discharge capacity are essential for the design, operation and maintenance of open channels, and more importantly, the prediction of flood levels. The conveyance estimation methods that are employed in commercially available river modelling software are principally based on historic hand-calculation formulae, with little or no account taken of the more recent advances in knowledge and understanding. A scoping study, commissioned by the British Environment Agency, identified the need to reduce the uncertainty associated with flood level prediction through incorporating this recent research into a Conveyance Estimation System (called the "CES"). The development of the CES is now underway, involving a partnership between academic researchers, experts and users. This paper describes the calculation methodology that has been adopted, which is applicable to all river and floodplain morphologies, considers all the physical flow processes that are present and where necessary, includes empirical or calibration coefficients that are based on previous research and expert advice. The approach uses a depth-integration of the Reynolds Averaged Navier-Stokes equations for flow in the streamwise direction, and generates a numerical solution using the finite element method. Emphasis is given to the secondary flow energy loss mechanisms and their effect on the lateral velocity distribution. The depth-averaged velocity predictions are compared with measured data from the Flood Channel Facility at HR Wallingford, the University of Bristol 1:5 scale model of the River Blackwater and the River Seven at Shrewsbury.
机译:可靠的放电容量估计对于开放渠道的设计,操作和维护至关重要,更重要的是,预测洪水水平。商业上可获得的河流建模软件中采用的传送估计方法主要基于历史的手工计算公式,几乎没有考虑知识和理解的更新进展。由英国环境局委托的范围研究确定了通过将该最近的研究纳入传送估计系统(称为“CES”)来确定需要减少与洪水水平预测相关的不确定性。现在正在进行CES的发展,涉及学术研究人员,专家和用户之间的伙伴关系。本文介绍了已采用的计算方法,该方法适用于所有河流和洪泛区形态,认为存在的所有物体流程以及必要时包括基于以前的研究和专家建议的经验或校准系数。该方法使用Reynolds的深度集成在流动方向上流动的reynolds vier-stokes方程,并使用有限元方法产生数值解决方案。强调二次流动能量损失机制及其对横向速度分布的影响。将深度平均的速度预测与来自布里斯托大学Hr Wallingford的洪水通道设施的测量数据进行了比较:5河黑水和夏鲁伯利河河河河的规模模型。

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