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Evaluation and modification of some empirical and semi-empirical approaches for prediction of area-storage capacity curves in reservoirs of dams

机译:大坝水库蓄水量曲线预测的一些经验和半经验方法的评估和修改

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摘要

The storage capacity of reservoirs is gradually reduced due to sediment accumulation that causes changes in the area-storage capacity (ASC) curves. Establishing these curves and predicting their future change is an important issue for planners, designers and operators of dams. Many empirical and semi-empirical approaches have been suggested for establishing and predicting the future changes for these curves. In this study four empirical and semi-empirical methods were evaluated and three of them were modified to be used for the prediction of changes in the ASC curves due to sedimentation, based on the existing sedimentation survey data for 11 reservoirs in the USA. For evaluation, these approaches were reviewed and used to determine sedimentation depth and establishing the ASC curves for the Mosul dam reservoir (MDR), which is the biggest hydraulic structure on the River Tigris in northern Iraq. MDR started operating in 1986 with a storage capacity of 11.11 km3 and a water surface area 380 km2 at normal operation stage (330 m a.s.l.). The results obtained from these methods were evaluated using observed bathymetric survey data that had been collected in 2011 after 25 years of the operation of the dam. The evaluation results showed three methods had presented more accurate results for estimating water depth or sedimentation depth at dam site with percentage error about 1.06–3.30%. Whilst for establishing ASC curves, one method presented good agreement result with survey data. Furthermore, ASC and sedimentation depths at dam site of MDR for periods 50, 75, 100 and 125 years were estimated using the modified approaches and the area reduction method. The results of the modified methods provided reasonable agreement when compared with the area reduction method proposed by the U.S. Bureau of Reclamation and the agreement became better with an increase in time period.
机译:由于沉积物的堆积导致面积-储存量(ASC)曲线的变化,水库的储存量逐渐减少。对于大坝的计划者,设计者和经营者来说,建立这些曲线并预测它们的未来变化是一个重要的问题。为了建立和预测这些曲线的未来变化,已经提出了许多经验和半经验方法。在这项研究中,根据美国11个水库的现有沉积调查数据,对4种经验和半经验方法进行了评估,并对其中3种方法进行了修改,以用于预测由沉积引起的ASC曲线的变化。为了进行评估,对这些方法进行了审查,并用于确定沉积深度和建立Mosul大坝水库(MDR)的ASC曲线,该水库是伊拉克北部底格里斯河上最大的水力结构。 MDR于1986年开始运行,在正常运行阶段(330 a.s.l.)的存储容量为11.11 km3,水表面积为380 km2。从这些方法获得的结果使用观察的测深调查数据进行评估,该数据是在大坝运营25年后于2011年收集的。评价结果表明,三种方法对大坝坝址的水深或沉积深度进行了较准确的估计,其百分比误差约为1.06-3.30%。在建立ASC曲线的同时,一种方法与调查数据具有很好的一致性。此外,使用改进方法和面积减小方法估算了MDR坝址50、75、100和125年的ASC和沉积深度。与美国填海局提出的面积减少方法相比,修改后的方法的结果提供了合理的协议,并且随着时间的延长协议变得更好。

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