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Synchronous asynchronous encounter analysis of runoff between reservoirs based on Copula function

机译:基于Copula函数的库间径流同步异步遭遇分析。

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Based on goodness-of-fit test on Copula function, we got the best fitted joint distribution function of runoff between D and H reservoirs. Then we analyzed the synchronous asynchronous encounter probability of runoff. The synchronous encounter probability of runoff was 72.46%, while the asynchronous of dryness-wetness or wetness-dryness encounter probability was only 1.06% between D and H reservoirs. The results showed that the runoff conditions were not conducive to the runoff compensation. In order to satisfy the target of water supply, we should also study the reservoir optimization operation, store water in advance and exploit the reservoir regulating potentialities on flood water resources.
机译:基于Copula函数拟合​​优度检验,我们得到了D库和H库之间径流量的最佳拟合联合分布函数。然后我们分析了径流的同步异步遭遇概率。 D和H储层之间径流同步遭遇的概率为72.46%,而干湿交替的湿遇概率仅为1.06%。结果表明,径流条件不利于径流补偿。为了达到供水目标,还应研究水库优化调度,提前储水,发挥水库调洪潜力。

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