摘要
【目的】研究低删失样本部分概率权重矩在洪水频率分布参数估计中的应用。【方法】选取广义极值分布为总体分布线型,利用MATLAB编程实现参数数值求解,采用统计试验研究估计量统计特性,并以陕北地区主要水文站年最大洪峰流量系列为例进行频率分析。【结果】部分概率权重矩法在高分位数估计方面呈现出良好的有效性,在4种拟合效果评价标准下,删失样本下界F0=0.2时理论分布对大多数测站的洪水资料有较好的拟合效果。【结论】部分概率权重矩法可作为陕北地区洪水频率分布参数的估计方法,并可应用于以推求大重现期设计洪水为目的的洪水频率分析。
[Objective] This based on partial probability wei achieve numerical solution of pa study investigated the parameter estimation of flood frequency distribution ghted mo rameters ments (PPWM). [Methodl MATLAB programs wer of the generalized extreme value distribution (GEV) WM. Monte Carlo experiments of PPWM were performed to study the statistic p the application was made to estimating parameters of annual maximum floods gauging stations in northern Shaanxi. [Result] PPWM method had good effectiv matron in nort can be quency Using four goodness-of-fit assess hern Shaanxi well when the value o used for estimating parameters of f e used to from PP roperties of estimates. And peak flow series of eness in high quantile estl lood frequency distribution in northern Shaanxi,and in flood fre oods that have long return period.
出处
《西北农林科技大学学报(自然科学版)》
CSCD
北大核心
2013年第9期200-206,共7页
Journal of Northwest A&F University(Natural Science Edition)
基金
国家自然科学基金项目(51179160
50879070
50579065)
高等学校博士学科点专项科研基金项目(20110204110017)
关键词
洪水预测
频率分布
参数估计
部分概率权重矩
广义极值分布
flood forecast
frequency distribution
parameter estimating
partial probability weighted moments
generalized extreme value distribution