NDLI: A New Method of Periods' Identification in Hydrologic Series Based on EEMD

Content Provider	IEEE Xplore Digital Library
Author	Yan-Fang Sang Dong Wang Ji-Chun Wu Qing-Ping Zhu Ling Wang
Copyright Year	2009
Abstract	Identification of dominant periods is a very important but difficult task in hydrologic time series data analysis. In this paper, for improving the results of periods’ identification, a new method, called EEMD-MESA (ensemble empirical mode decomposition-maximum entropy spectral analysis), has been proposed, whose main idea is identifying the main intrinsic mode functions (MIMFs) in hydrologic series firstly, and then by using MESA to identify periods in each MIMFs, all periods in the hydrologic series can be gotten finally. By applying to an observed runoff series, advantages of the new method have been verified. Analyses results show that EEMD-MESA is as better as MSSA but much better than other methods (FFT and MESA); While compared with MSSA, EEMD-MESA is more convenient and time-saving. Therefore, the EEMD-MESA method would be more applicable to practical hydrologic works.
Starting Page	269
Ending Page	273
File Size	347251
Page Count	5
File Format	PDF
ISBN	9781424438358
DOI	10.1109/AICI.2009.236
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hydrology Data analysis Time series analysis Noise reduction Independent component analysis Data engineering Wavelet analysis Entropy Water resources Spectral analysis
Content Type	Text
Resource Type	Article

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