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首页> 外文期刊>International journal of river basin management >Comparing 1-D sediment transport modeling with field observations: Simkins Dam removal case study
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Comparing 1-D sediment transport modeling with field observations: Simkins Dam removal case study

机译:将一维沉积物输运模型与现场观测结果进行比较:Simkins大坝拆除案例研究

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摘要

We present a sediment transport modelling study for the 2010 removal of the 3.3-m tall Simkins Dam on the Patapsco River, MD that released more than 56,000 m~3 of sediment downstream. Our objectives are to validate the pre-removal model forecasts with detailed post-removal monitoring data, and through hindcast modelling, examine the effects of using approximate channel geometry data or more accurate data on model results. Comparisons of DREAM-1 model predictions using approximate data and field observations indicate that reach-scale model predictions were generally accurate, but some discrepancies between predicted and observed magnitudes of sediment deposition at specific locations occurred. A refined model, developed post-dam removal with more accurate channel geometry as model input, produced slightly improved results in reaches where input data were significantly improved. However, more accurate input data did not change the general conclusions nor substantially improve the model performance for the entire study reach. In conjunction with two previous studies, our results support a simplified data collection approach that enables timely predictions for decision making and minimizes study costs.
机译:我们为2010年拆除马里兰州Patapsco河上3.3米高的Simkins大坝进行了沉积物迁移模型研究,该下游释放了56,000 m〜3的沉积物。我们的目标是使用详细的拆卸后监测数据验证拆卸前模型的预测,并通过后铸建模,检查使用近似通道几何数据或更准确的数据对模型结果的影响。使用近似数据和现场观测结果对DREAM-1模型预测进行的比较表明,到达范围模型预测通常是准确的,但是在特定位置的沉积物沉降预测值和观测值之间存在一些差异。经过改进的模型(开发后的坝坝拆除)具有更精确的通道几何图形作为模型输入,在输入数据得到显着改善的河段中产生了稍微改善的结果。但是,更准确的输入数据不会改变总体结论,也不会显着改善整个研究范围的模型性能。结合之前的两项研究,我们的结果支持简化的数据收集方法,该方法可以及时做出决策预测,并最大程度地降低研究成本。

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