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Estimating design probable maximum precipitation using multifractal methods and comparison with statistical and synoptically methods case study: Basin of Bakhtiari Dam

机译:使用多重分形方法估算设计可能的最大降水量,并与统计和综合方法进行比较案例研究:巴赫蒂阿里大坝盆地

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摘要

The probable maximum precipitation which is defined as the maximum precipitation at a particular location for a given duration is used as a design criterion for major dams. The assumptions of deterministic consideration and an upper limit to probable maximum precipitation have been repeatedly criticized by hydrologists. Nowadays, multifractal method which strongly contains physical bases can be used to improve the probable maximum precipitation. In this research, the universal multifractal model was used to estimate the design probable maximum precipitation for specified exceedence probability in basin of Bakhtiari Dam, southwest Iran, and its results were compared with statistical and synoptically methods. The results revealed that the return period of statistical and synoptically probable maximum precipitation, estimated for the different durations, are about 10~9 and 10~3-10~4 years, respectively; also, over periods ranging from 1 to 7 days, the ratios of design probable maximum precipitations, estimated based on multifractal method for return period of 10~3-10~9 years, to statistical and synoptically probable maximum precipitation estimates ranged from 0.61 to 1.1 and 1.33 to 2.37, respectively. These results indicated that the multifractal method can be used to reasonably estimate the probable maximum precipitation.
机译:可能的最大降水量(定义为给定持续时间内特定位置的最大降水量)被用作大型水坝的设计标准。确定性考虑的假设和可能的最大降水量的上限已被水文学家反复批评。如今,可以使用强烈包含物理碱的多重分形方法来改善可能的最大降水量。在这项研究中,使用通用多重分形模型来估算伊朗西南部Bakhtiari大坝盆地在特定超标概率下设计可能出现的最大降水量,并将其结果与统计方法和方法相比较。结果表明,不同持续时间估计的统计和天气可能最大降水的回归期分别约为10〜9年和10〜3-10〜4年。同样,在1到7天的时间范围内,基于多重分形方法估算的10〜3-10〜9年回归期的设计最大可能降水与统计和连带概率最大降水估计的比率在0.61至1.1之间和1.33至2.37。这些结果表明,多重分形方法可用于合理估计可能的最大降水量。

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