A Model For Hydrology Time Series Prediction Based on Weighted Summation of Wavelet Coefficients

机译：基于小波系数加权求和的水文时间序列预测模型

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A kind of model for hydrology time series prediction is proposed using weighted summation of major period's wavelet coefficients to predict period component. Considering the relativity between wavelet coefficients of wavelet transformation and time series, the method is based on the qualitative prediction of continuous wavelet transformation and wavelet variance, and it takes advantage of multi-resolution characteristic of wavelet analysis effectively. The annual runoff data of Huayuankou gauging station in the Yellow River is used to build up the model and to examine it, meanwhile the prediction results indicate that the prediction method proposed in the paper can receive more ideal results, and can be used to predict hydrology time series.

机译：提出了一种利用主要时期小波系数的加权求和来预测时期成分的水文时间序列预测模型。考虑到小波变换的小波系数与时间序列之间的相关性，该方法基于连续小波变换和小波方差的定性预测，有效利用了小波分析的多分辨率特征。利用黄河花口口站的年径流数据建立模型并对其进行了检验，预测结果表明本文提出的预测方法可获得较理想的结果，可用于水文预报时间序列。

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来源
《Flood Forecasting and Water Resources Assessment for IAHS(International Association of Hydrological Sciences)-PUB》|2006年|633-640|共8页
会议地点 Beijing(CN)
作者
Li Yajiao; Shen Bing; Li Jiake;
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作者单位

Northwest Water Resource and Environment Ecology Key Lab of MOE at XAUT, Xi'an, 710048;

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会议组织
原文格式 PDF
正文语种 eng
中图分类水资源调2查与水利规划;
关键词
wavelet coefficient; weighted summation; hydrology time series; prediction model;

机译：小波系数加权求和；水文时间序列；预测模型;

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4. A Model For Hydrology Time Series Prediction Based on Weighted Summation of Wavelet Coefficients [C] . Li Yajiao, Shen Bing, Li Jiake, International Symposium on Flood Forecasting and Water Resources Assessment for IAHS-PUB . 2006

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A Model For Hydrology Time Series Prediction Based on Weighted Summation of Wavelet Coefficients

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