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集合经验模态分解和交叉小波在赣江流量与太阳黑子活动关系中的应用

万智巍 贾玉连 洪祎君 蒋梅鑫

水资源与水工程学报2018,Vol.29Issue(1):44-49,6.
水资源与水工程学报2018,Vol.29Issue(1):44-49,6.DOI:10.11705/j.issn.1672-643X.2018.01.07

集合经验模态分解和交叉小波在赣江流量与太阳黑子活动关系中的应用

Application of EEMD and CWT in the relationship between Ganjiang River flow and sunspot activity

万智巍 1贾玉连 1洪祎君 2蒋梅鑫1

作者信息

  • 1. 江西师范大学地理与环境学院鄱阳湖湿地与流域研究教育部重点实验室,江西南昌330022
  • 2. 中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室,北京100101
  • 折叠

摘要

Abstract

In order to solve the problem that traditional correlation analysis method is difficult to reveal the correlation between non-linear and non-stationary hydrological sequences and external forcing factors in different time scales and different frequency domains,we proposed a new method which is the combination of EEMD and CWT to be applied to the multi-scale correlation analysis of the long term flow series of Ganjiang River and the sunspot series in the same period.The results showed that the IMF1 component of the EEMD decomposition of the Ganjiang River flow series from 1950 to 2015 has the maximum amplitude and the highest frequency,representing the main change factor in the original series,which is the embodiment of the nonlinear and nonstationary characteristics of the hydrological sequence.The results of the EEMD components of the sunspot series in the same period showed that from 1950 to 1970 the sunspot increased and then decreased from 1970 to 2015.CWT analysis showed that the correlation between the Ganjiang River flow and the sunspot series gradually shifted from the negative correlation to the 1/4 cycle lag and then to the positive correlation.From 1950 to 2000,the correlation coefficient of this two series was above 0.6,and the correlation coefficient was above 0.4 from 2001 to 2015.This study shows that the EEMD-CWT comprehensive analysis can effectively use the EEMD method to decompose the original signal to obtain the IMF components with stability.Based on this,the correlation between the two series in the time domain and the frequency domain can be obtained by the CWT method.This method can provide new ideas and technical means for exploring the multi-scale correlation between hydrological meteorological series and external forcing factors.

关键词

集合经验模态分解/交叉小波变换/流量/太阳黑子/赣江

Key words

ensemble empirical mode decomposition (EEMD)/cross wavelet transform (CWT)/flow/sunspot/Ganjiang River

分类

建筑与水利

引用本文复制引用

万智巍,贾玉连,洪祎君,蒋梅鑫..集合经验模态分解和交叉小波在赣江流量与太阳黑子活动关系中的应用[J].水资源与水工程学报,2018,29(1):44-49,6.

基金项目

国家自然科学基金项目(41761045) (41761045)

鄱阳湖湿地与流域研究教育部重点实验室开放基金项目(PK2015003) (PK2015003)

江西省自然科学基金项目(20161BAB213075) (20161BAB213075)

江西省重大生态安全问题监控协同创新中心项目(JXS-EW-00) (JXS-EW-00)

江西省教育厅科学技术研究项目(GJJ150305) (GJJ150305)

江西师范大学博士启动基金项目(6902) (6902)

水资源与水工程学报

OACSCDCSTPCD

1672-643X

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