[1]左其亭,高峰..水文时间序列周期叠加预测模型及3种改进模型[J].郑州大学学报(工学版),2004,25(04):67-73.[doi:10.3969/j.issn.1671-6833.2004.04.018]
　Zuo Qiting,Peak.Hydrological time series period superposition prediction model and three improved models[J].Journal of Zhengzhou University (Engineering Science),2004,25(04):67-73.[doi:10.3969/j.issn.1671-6833.2004.04.018]
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水文时间序列周期叠加预测模型及3种改进模型()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
25卷
期数:
2004年04期
页码:
67-73
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Hydrological time series period superposition prediction model and three improved models

作者:
左其亭; 高峰.
郑州大学环境与水利学院,河南,郑州,450002, 河南省睢县水利局,河南,睢县,476000
Author(s):
Zuo Qiting; Peak
关键词:
水文时间序列;  预测;  周期叠加预测模型(POL);  趋势-周期叠加组合预测模型(TPOLC);  压缩振幅的周期叠加预测模型(AC-POL);  逆推优势周期的周期叠加预测模型(DPI-POL)
Keywords:
DOI:
10.3969/j.issn.1671-6833.2004.04.018
文献标志码:
A
摘要:
自然界中水文现象常暗含周期性,基于这一特性,发展了水文时间序列周期叠加预测模型.介绍了水文时间序列周期叠加预测模型(POL),分析了水文时间序列周期叠加预测模型(POL)在某些特定条件下应用上的不足,并提出3种改进模型: 趋势-周期叠加组合预测模型(TPOLC),压缩振幅的周期叠加预测模型(AC-POL), 逆推优势周期的周期叠加预测模型(DPI-POL).这些模型可根据需要组合建模,并可广泛应用于相应类型水文时间序列建模.
Abstract:
Hydrological phenomena in nature often imply periodicity, and based on this property, a hydrological time series cycle superposition prediction model was developed. The hydrological time series period superposition prediction model (POL) is introduced, the shortcomings of the hydrological time series period superposition prediction model (POL) in the application under some specific conditions are analyzed, and three improved models are proposed: trend-period superposition combined forecasting model (TPOLC), periodic superposition prediction model with compressed amplitude (AC-POL), and periodic superposition prediction model (DPI-POL) with inverse dominant period. It can be widely used in corresponding types of hydrological time series modeling.

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更新日期/Last Update: 1900-01-01