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Modelling flow and sediment trapping upstream and within grass buffer strips

机译:模拟草缓冲带上游和内部的水流和沉积物捕获

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摘要

Grass buffer strips impact the hydrology of flow and consequently the fate of sediment. A complex process-based model is developed to predict flow characteristics as well as sediment deposition and transport upstream, and within grass strips. The model is capable of estimating the proportion and amount of different sediment particle size classes in the outflow. The modified Green–Ampt equation was used to simulate infiltration. Gradually varied flow and kinematic wave approximation were used to model flow characteristics upstream and within grass strips. The GUEST model approach has been modified in order to use its basic approaches in sediment transport module in grass strips. Model predictions agree well with the results of two sets of controlled experiments. The bias, coefficient of model efficiency and the root mean squared error of the modelled efficiency of grass strips in reducing sediment concentration were 0.93–0.99, 0.58–0.99 and 8.9–12.7, respectively. The sensitivity analysis showed that the initial soil moisture and flow rate are the most sensitive parameters in predicting runoff loss. Increasing the slope steepness and flow rate dramatically decreases the efficiency of grass strips in reducing sediment concentration and mass. Copyright © 2015 John Wiley & Sons, Ltd.
机译:草缓冲带影响水流的水文状况,进而影响沉积物的命运。建立了一个基于过程的复杂模型来预测水流特征以及沉积物在上游和草条内的沉积和运输。该模型能够估算出流出物中不同沉积物粒度等级的比例和数量。修改后的Green-Ampt方程用于模拟入渗。使用逐渐变化的流量和运动学波逼近来模拟草条上游和内部的水流特征。 GUEST模型方法已被修改,以便将其基本方法用于草条中的泥沙输送模块中。模型预测与两组受控实验的结果非常吻合。草条在降低泥沙浓度方面的效率偏差,模型效率系数和均方根误差分别为0.93–0.99、0.58–0.99和8.9–12.7。敏感性分析表明,初始土壤水分和流速是预测径流损失最敏感的参数。增加坡度和流速会大大降低草条降低沉积物浓度和质量的效率。版权所有©2015 John Wiley&Sons,Ltd.

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