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基于小波消噪的改进的非参数解集模型
引用本文:赵太想,王文圣,丁晶. 基于小波消噪的改进的非参数解集模型[J]. 四川大学学报(工程科学版), 2005, 37(5): 1-4
作者姓名:赵太想  王文圣  丁晶
作者单位:1. 四川大学,水电学院,四川,成都,610065
2. 四川大学,水电学院,四川,成都,610065;中国气象局成都高原气象研究所,四川,成都,610072
基金项目:国家自然科学基金资助项目(50279023);四川省科技厅软科学基金资助项目(042R025-051)
摘    要:首先对文献[2]提出的非参数解集模型进行了改进,然后建议了用小波技术对水文序列进行消噪处理再估计非参数解集模型中的带宽系数的策略。改进的非参数解集模型无需对水文序列相依结构(线性或非线性)和概率分布形式(正态分布、P-Ⅲ型分布)作假定,且能保持水文序列的各种统计特性,适用于时间量和空间量的随机解集。最后以金沙江流域某站月径流随机模拟为例进行验证,研究表明:改进模型能反映实测月径流系列的变化特性,因而用于水文随机模拟是可行的。

关 键 词:非参数解集模型 小波消噪 核密度估计 随机模拟
文章编号:1009-3087(2005)05-0031-04
收稿时间:2005-03-18
修稿时间:2005-03-18

Modified Nonparametric Disaggregation Model Based on Wavelet De-noise
ZHAO Tai-xiang,WANG Wen-sheng,DING Jing. Modified Nonparametric Disaggregation Model Based on Wavelet De-noise[J]. Journal of Sichuan University (Engineering Science Edition), 2005, 37(5): 1-4
Authors:ZHAO Tai-xiang  WANG Wen-sheng  DING Jing
Affiliation:1. School of Hydraulic Eng., Sichuan Univ., Chengdu 610065, China; 2.Chengdu Inst. of Plateau Meteorology, CMA, Chengdu 610072, China
Abstract:Firstly, based on the nonparametric disaggregation model in reference[2], a modified nonparametric disaggregation model is presented. Then a estimation of the band-width coefficient h of nonparametric disaggregafion model is given with wavelet de-noise technology. The modified nonparametric disaggregation model has no prior assumptions as to the form of dependence and the form of probability density function, and can preserve all statistical properties of real hydrological time series. At the same time the suggested model is suitable to the hydrological variables in time and space. Lastly, The results of monthly nmoff stochastic simulation at a hydrological station in Jing Sha River show that the modified model works well.
Keywords:nonparametric disaggregation model   wavelet de-noise   kemel density estimation   stochastic generation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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