摘要
为改善目估适线法存在的主观性问题和计算机算法的计算结果与经验适线存在的偏差问题,在计算机适线算法基础上将目估适线法适线标准融合到算法的目标函数中,并充分利用样本数据精度信息,提出了一种改进的加权适线法,并以不连续系列洪水洪峰流量频率适线为例,利用计算机程序进行迭代计算,求得较为理想的理论频率曲线。实例验证结果表明,改进的加权适线法能将目估适线法的经验耦合到计算机适线结果中,且随历史洪水数据精度的提高,曲线与历史洪水点据的拟合误差也越小。
In order to solve the problems of subjectivity in current curve fitting methods and deviation results between computer method and empirical method, a new weighted fitting method is proposed in this paper. Based on computer curve fitting method, this method integrates the fitting standard of curve fitting method into the objective function of the method with full use of the sample accuracy. Exampled by a discontinuous series of peak flow with historical flood data, a satisfactory theoretical curve is obtained through computer program. Examples of calculation results show that the pro- posed method can combine experience of empirical method with the result of computer curve fitting, and with the improving of the data accuracy, the error of fitting will be reduced.
出处
《水电能源科学》
北大核心
2012年第3期64-67,共4页
Water Resources and Power
基金
国家水体污染控制与治理科技重大专项基金资助项目(2009ZX07423-001)
国家自然科学基金资助项目(40971300)
中国博士后科学基金资助项目(20100470276)
中央高校基本科研业务费专项资金资助项目(10QX43
09MG16
11QX53)
关键词
P-Ⅲ型曲线
优化算法
加权适线法
数据精度
Pearson type-Ⅲ curve
optimization algorithm
weighted fitting method
data accuracy
