洪水估计和传播的简化方法

R. Drobot, C. Dinu, A. Draghia, M. Adler, C. Corbus, M. Mătreață
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引用次数: 7

摘要

流域和水管理系统具有高度复杂性的特点。为了找出水库在洪水期间的最佳运行规律,应最大限度地简化其他耗时的数据处理(如洪波传播)。为此,采用了遗传规划(GP)方法。推导的洪水传播GP传递函数与基于Saint Venant方程的洪水传播具有很好的一致性,但不需要耗费时间和其他资源。通过区划研究,导出了沿主河未测支流保持相同超限概率的综合洪水。以鸡家河的两条主要支流锡特纳河和米利丁河为例进行了试验。
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Simplified approach for flood estimation and propagation
The river basins and water management systems are characterized by a high degree of complexity. In order to find the best operation rules of the reservoirs during floods all other time consuming data processing (like flood wave propagation) should be simplified at maximum. For this purpose, the Genetic Programming (GP) approach was used. The GP transfer functions derived for flood propagation provide an excellent agreement with the floods propagation based on Saint Venant equations, but without time and other resources consuming. The synthetic floods of the ungauged tributaries keeping the same probability of exceedance along the main river were derived using regionalization studies. The proposed approach was tested for Sitna and Miletin river, two main tributaries of Jijia river.
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