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CALIBRATION OF A SEDIMENT TRANSPORT MODELUSING FIELD MEASUREMENTS

机译:泥沙运输模拟场测量的校准

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In this paper results of sensitivity studies and calibration of a sediment transportrnmodel are summarised. The investigation area is located on the German Wadden Sea betweenrnthe Elbe and Eider estuaries. Field data obtained from measuring campaigns adapted to providerndata for evaluating the performance of numerical models was used. Process-based twodimensionalrndepth-integrated models for the simulation of currents, waves and sedimentrntransport were coupled. The sediment transport model solves the convection-diffusion inrnconjunction with the algebraic equations proposed by Bijker and Van Rijn. Sensitivity studiesrnwith respect to particle sizes, coefficients in the algebraic equations and bed roughness wererncarried out. Different approaches were used for calibration of the model. Results show thernimportance of measurement data to achieve high-accuracy predictions. The sediment transportrnmodel is capable of predicting the suspended sediment concentration within the order ofrnmagnitude of the observed values. The bed roughness was found to be a key element in thernestimation of the suspended sediment concentrations. The consideration of variable bedrnroughness in time and space is found to improve the predictive ability of the sediment transportrnmodel.
机译:本文总结了敏感性研究和沉积物运移模型校准的结果。调查区域位于易北河和艾德河口之间的德国瓦登海。使用从适合于提供者数据的测量活动获得的现场数据,以评估数值模型的性能。耦合了基于过程的二维深度综合模型,用于模拟水流,波浪和泥沙输送。泥沙运移模型利用Bijker和Van Rijn提出的代数方程式求解对流扩散扩散合。关于粒度的敏感性研究,进行了代数方程的系数和床的粗糙度。使用不同的方法对模型进行校准。结果表明,测量数据对于实现高精度预测至关重要。泥沙运移模型能够在观测值的数量级内预测悬浮的泥沙浓度。床的粗糙度被认为是对悬浮泥沙浓度进行重新评估的关键因素。发现时空变化的地层粗糙度可以提高泥沙运移模型的预测能力。

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