| 摘要: |
| 【目的】将SCEM-UA优化算法应用于水文频率分布曲线优化适线法中，并与传统适线法进行对比，为水文频率分析提供方法支持。【方法】采用基于SCEM-UA优化算法的优化适线法，对长江流域宜昌水文站1974-2003年年最大流量数据进行水文频率分析，确定其理论频率曲线统计参数，计算离差绝对值和与离差平方和；利用同组数据，采用矩法、权函数法、概率权重矩法对其进行水文频率分析，并将结果与SCEM UA优化算法所得结果进行对比。【结果】SCEM-UA算法离差绝对值和与离差平方和分别为23 481和33 734 707，均小于其余3种方法；利用SCEM-UA优化算法所得理论频率曲线与实测数据两端值的拟合效果更好。【结论】与传统适线法相比，基于SCEM-UA优化算法的优化适线法能够降低理论水文频率分析的误差，提高理论频率曲线与实测数据的拟合精度。 |
| 关键词: SCEM-UA 水文频率分析 优化适线法 |
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| 基金项目:国家水体污染控制与治理科技重大专项（2008ZX07208-010） |
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| Hydrologic frequency analysis using SCEM-UA algorithm |
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| Abstract: |
| 【Objective】SCEM-UA algorithm was applied to optimal curve fitting method for hydrologic frequency curve and was compared with traditional methods in order to provide method support for hydrologic frequency analysis.【Method】The optimal curve fitting method using SCEM-UA algorithm was adopted for hydrologic frequency analysis with the data of annual maximum flow during 1974 to 2003 at Yichang hydrologic station,and the sum of absolute deviation and the deviation sum of squares were calculated;the results which were obtained by moment method,weight function method and probability weighted moment method with the same data were compared with the results obtained by SCEM-UA algorithm.【Result】The sum of absolute deviation and the deviation sum of squares calculated by SCEM-UA method are 23 481 and 33 734 707 respectively which are the smallest value compared with the results of the other methods,and the curve fitting effect obtained by SCEM-UA method is better than that obtained by the other methods.【Conclusion】In comparison with traditional curve fitting methods,the SCEM-UA based optimal curve fitting method could reduce the error of hydrologic frequency analysis and improve the curve fitting accuracy of the theoretical frequency curve and the measured data. |
| Key words: SCEM-UA hydrologic frequency analysis optimal curve fitting method |
