Shi Ren, Yu Gao, Wei-Jie Wang, Yinjun Zhou, Hanqing Zhao
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引用次数: 0
摘要
泥沙淤积极大地影响了水库的综合效益,阻碍了河流上下游泥沙与营养物质之间的联系。大坝泥沙拦截作用的量化非常重要,因为这种作用控制着河道地貌、水生生态和水质,特别是对于流入量变化很大的洪水过程。本研究建立了一个新模型,采用广义理论方法计算三峡水库汛期洪水泥沙拦截效率(TE)。计算了三峡水库蓄水以来发生的 55 次洪水过程的泥沙拦蓄效率,其范围在 16.0% 到 99.8% 之间,平均值为 77.8%。与以往根据长期数据认为大型水库具有持续较大 TE 值的认识相反,我们的结果表明,大型水库在短期洪水事件中的 TE 值范围很广。所提出的模型使用三个变量估算 TE 值:入库排水量、出库排水量和水库水位。此外,还讨论了汛期优化调度对 TGR 带来的额外泥沙淤积风险。这些结果为水库泥沙管理和优化运行提供了参考。
Estimating Sediment Trap Efficiency of Flood Events During Flood Season in the Three Gorges Reservoir
Sediment trapping significantly influences the comprehensive benefits of reservoirs and hinders the connection between sediment and nutrients in the upstream and downstream of rivers. Quantifying the role of sediment trapping by dams is important because this operation controls fluvial geomorphology, aquatic ecology, and water quality, particularly for flood processes with highly variable inflows. This study developed a new model to calculate the sediment trap efficiency (TE) of flood events during the flood season in the Three Gorges Reservoir (TGR) using a generalized theoretical approach. The TE of 55 flood events that occurred since the impoundment of the TGR were calculated and ranged from 16.0% to 99.8%, with a mean of 77.8%. Contrary to the previous understanding that large reservoirs have consistently large TE values based on long-term data, our results show that large reservoirs can have a wide range of TE values during short-term flood events. The proposed model estimates TE using three variables: inflow discharge, outflow discharge, and reservoir water level. Furthermore, the additional sedimentation risk to the TGR by optimized scheduling during the flood season is discussed. The results provide a reference for sedimentation management and optimal operation in the TGR.
期刊介绍:
Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.