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水力发电学报 ›› 2019, Vol. 38 ›› Issue (4): 96-107.doi: 10.11660/slfdxb.20190410

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指数Gamma分布参数估计方法对比研究

  

  • 出版日期:2019-04-25 发布日期:2019-04-25

Comparison of parameter estimation methods for exponential Gamma distribution

  • Online:2019-04-25 Published:2019-04-25

摘要: 鉴于指数Gamma分布在水文频率分析中的优越性,探讨了6种常见的参数估计方法在该分布下的应用情况。选取安康、花竹、临江、彭水、珊溪和武胜6个水文站的年最大洪峰资料,对考虑历史资料的年最大洪峰序列进行频率计算,应用蒙特卡洛试验研究优化适线法、矩法、混合矩法、线性矩法、极大似然法和基于最大熵理论普通熵法的统计性能以及设计值的精度,分析上述6种方法下指数Gamma分布与经验点据的拟合情况。采用AIC准则和均方根误差RMSE为评价标准进行拟合效果评估,计算结果表明,优化适线法和线性矩法在洪水频率分析中取得了理想的拟合效果,优化适线法与线性矩法作对比研究,能够更好的确定研究区最合适的参数估计方法。

关键词: 指数Gamma分布, 矩法, 线性矩法, 极大似然法, 普通熵法, 历史洪水

Abstract: In view of the superiority of the exponential Gamma distribution in hydrological frequency analysis, application of six common parameter estimation methods adopting this distribution is discussed. Annual maximum flood peak series with historical data taken into account are calculated for the flood series recorded at six hydrological stations: Ankang, Huazhu, Linjiang, Pengshui, Shanxi and Wusheng. And statistical performance and accuracy of the design values are analyzed using Monte Carlo simulations to compare six methods: optimized curve fitting method, moment method, mixed moment method, linear moment method, maximum likelihood method, and ordinary entropy method based on the maximum entropy theory. We discuss the fitting of the exponential Gamma distribution, and use the AIC criterion and RMSE calculations to evaluate the fitting effect. The results show that the optimal curve fitting method and linear moment method achieve a satisfactory fitting effect in flood frequency analysis, and that better results of the optimal curve fitting method can be obtained when the linear moment method is used as a reference method.

Key words: exponential Gamma distribution, moment method, linear moment method, maximum likelihood method, ordinary entropy method, historical flood

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