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Global Storage-Reliability-Yield Relationships for Water Supply Reservoirs

机译:全球供水水库的可靠性-产量关系

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Storage-Reliability-Yield (SRY) relationships are used to determine the reservoir storage capacity for delivery of a specified yield with a given reliability, or to compute the yield and/or reliability of an existing reservoir system. Several studies have developed generalized SRY relations using synthetic inflows arising from a variety of theoretical streamflow models. Fewer studies have used actual streamflow datasets to develop generalized SRY relationships and most of those studies were for small geographic regions. This study uses a global dataset of monthly streamflows combined with robust regression methods to develop improved generalized SRY models suitable for use anywhere in the world. Comparisons are provided between the models developed here and other studies documenting a number of innovations over previous relationships. In cross validation experiments our global reservoir yield model exhibited extremely high goodness-of-fit with values of Nash Sutcliffe Efficiency and adjusted R~2 values both always in excess of 0.99 and negligible bias. The resulting SRY model should prove useful in screening studies which seek to evaluate the benefits of constructing reservoirs for surface water supply.
机译:存储-可靠性-产量(SRY)关系用于确定用于以给定的可靠性输送指定产量的储层存储容量,或用于计算现有储层系统的产量和/或可靠性。几项研究已使用各种理论流量模型产生的合成流入量开发了广义SRY关系。很少有研究使用实际的流量数据集来建立广义的SRY关系,其中大多数研究是针对较小的地理区域的。这项研究使用了每月流量的全球数据集,并结合了强大的回归方法,以开发适用于世界任何地方的改进的广义SRY模型。在这里开发的模型与其他研究之间进行了比较,这些研究记录了先前关系的许多创新。在交叉验证实验中,我们的全球储层产量模型显示出极高的拟合优度,纳什苏特克利夫效率值和调整后的R〜2值始终超过0.99,偏差可忽略不计。所得的SRY模型在筛选研究中应被证明是有用的,这些研究旨在评估建造地表水水库的好处。

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