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Hydraulic-Hydrological Components Of An Operational System For Dam Management

机译:大坝管理操作系统的水力部件

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Two components of an operational system for management of dams were investigated: the first concerns the incoming flood forecast at the reservoir; the second is the downstream flooding risk assessment. As regards the first component, a practical on-line flood forecasting model, based on the Muskingum approach formulated in terms of water levels, was developed. The model incorporates one adaptive parameter depending on the lateral inflow contribution. About the second component, the estimates of the bottom outlet release curves and the downstream channel roughness were considered. For these purposes, a procedure based both on a hydraulic modelling and an experimental flood release was adopted to calibrate the outlet head loss coefficients and the Manning roughness of the downstream channel. The investigation was done for the Casanuova dam in Central Italy. The forecasting model was applied to an equipped Chiascio River branch which is located immediately upstream of the dam and which is crucial to estimate the flood incoming to the reservoir. To test the model selected flood events were used and the forecast stage hydrographs were found similar to those observed at the downstream end of the reach. The absolute percentage error in time to peak and peak water level did not exceed 14% and 12.5%, respectively. The outlet bottom release curves were estimated through a hydraulic model and using the velocity data collected at a gauged section below the dam in the period 1996-2000. They were verified through an experimental flood release carried out in October 2002, during which velocity measurements were made in three different downstream equipped river sections, while the water level was monitored by observers in a large number of river sites where a staff gauge was earlier installed. The discharges given by the release curves were found not different from the observed ones. Finally, the value of the Manning roughness coefficient along the downstream channel was estimated by matching the water levels simulated by the propagation of the experimental release and those locally recorded by the observers.
机译:研究了大坝管理业务系统的两个组成部分:第一个涉及水库的洪水预报;第二个涉及水库的洪水预报。二是下游洪水风险评估。关于第一部分,开发了一种实用的在线洪水预报模型,该模型基于根据水位制定的Muskingum方法。该模型根据侧向入流贡献并入一个自适应参数。关于第二部分,考虑了底部出口释放曲线和下游通道粗糙度的估计值。为此,采用了基于水力模型和实验泄洪的程序来校准出口水头损失系数和下游通道的曼宁粗糙度。对意大利中部的卡萨努瓦大坝进行了调查。该预测模型已应用于恰恰西奥河支流,该支流紧邻大坝的上游,对估算流入水库的洪水至关重要。为了测试该模型,使用了选定的洪水事件,并且发现预测阶段的水文曲线类似于在下游下游观测到的水文曲线。达到峰值和峰值水位的时间的绝对百分比误差分别不超过14%和12.5%。通过水力模型并使用在1996年至2000年期间在大坝下方的特定断面处收集的速度数据估算出口底部释放曲线。通过在2002年10月进行的一次实验性洪水泄洪对它们进行了验证,在此期间对三个不同的下游配备河流的河段进行了速度测量,而在许多较早安装了水位计的河流站点中,观察员对水位进行了监测。 。发现释放曲线给出的放电与观察到的没有差异。最后,通过匹配由实验释放的传播模拟的水位和观察者在本地记录的水位,来估算沿下游河道的曼宁粗糙度系数的值。

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