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首页> 外文期刊>Journal of the American Water Resources Association >APPLICATION OF PARAMETER OPTIMIZATION METHOD FOR CALIBRATING TANK MODEL
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APPLICATION OF PARAMETER OPTIMIZATION METHOD FOR CALIBRATING TANK MODEL

机译：参数优化方法在水箱模型校正中的应用

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摘要

Many automatic calibration processes have been proposed to efficiently calibrate the 16 parameters involved in the four-layered tank model. The Multistart Powell and Stuffed Complex Evolution (SCE) methods are considered the best two procedures. Two rainfall events were designed to compare the performance and efficiency of these two methods. The first rainfall event is short term and the second designed for long term rainfall data collection. Both rainfall events include a lengthy no-rainfall period. Two sets of upper and lower values for the search range were selected for the numerical tests. The results show that the Multistart Powell and SCE methods are able to obtain the true values for the 16 parameters with a sufficiently long no-rainfall period after a rainfall event. In addition, by using two selected objective functions, one based on root mean square error and one based on root mean square relative error criteria, it is found that the no-rainfall period lengths necessary to obtain the converged true values for the 16 parameters are roughly the same. The SCE method provides a more efficient search based on an appropriate preliminary search range. The Multistart Powell method, on the other hand, leads to more accurate search results when there is no suitable search range selected based on the parameter calibration experience.
机译：已经提出了许多自动校准过程来有效地校准四层储罐模型中涉及的16个参数。 Multistart Powell和Stuffed Complex Evolution（SCE）方法被认为是最好的两个过程。设计了两次降雨事件以比较这两种方法的性能和效率。第一个降雨事件是短期的，第二个降雨事件是为长期降雨数据收集而设计的。两次降雨都包括漫长的无降雨期。选择两组搜索范围的上限值和下限值进行数值测试。结果表明，Multistart Powell和SCE方法能够在降雨事件后足够长的无降雨期获得16个参数的真实值。此外，通过使用两个选定的目标函数，一个基于均方根误差，另一个基于均方根相对误差准则，发现获得16个参数的收敛真值所需的无降雨时段长度为大致相同。 SCE方法基于适当的初步搜索范围提供了更有效的搜索。另一方面，如果没有根据参数校准经验选择合适的搜索范围，则Multistart Powell方法可导致更准确的搜索结果。

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