[1]He Junqi,Guo Xinjia,Chen Yunfei,et al.Multi-time Scale Study of Rainfall Series Based on Hilbert-Huang Transform and Wavelet Analysis[J].Research of Soil and Water Conservation,2024,31(02):130-141.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 02
Page number:
130-141
Column:
Public date:
2024-03-20
- Title:
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Multi-time Scale Study of Rainfall Series Based on Hilbert-Huang Transform and Wavelet Analysis
- Author(s):
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He Junqi1,2,3, Guo Xinjia1,2,3, Chen Yunfei1,2,3, Liu Xiuhua1,2,3, Gao Wande1,2,3, Long Ting1,2,3
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(1.School of Water and Environment, Chang'an University, Xi'an 710054, China; 2.Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an 710054, China; 3.Key Laboratory of Ecological Hydrology and Water Security in Arid Areas, Ministry of Water Resources, Chang'an University, Xi'an 710054, China)
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- Keywords:
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Multivariate Empirical Mode Decomposition; HHT; wavelet transform; rainfall period; Mu Us Sandy Land
- CLC:
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P333
- DOI:
-
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- Abstract:
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[Objective] To Compare and analyze the differences in multi-scale periodic calculation performance between different methods can provide more reference for the selection of regional hydrological periodic analysis methods. [Methods] In this study, two groups of artificial sequences with known period and trend characteristics were used to test, compare and analyze the difference between Hilbert-Huang Transform(HHT)based on Multivariate Empirical Mode Decomposition(MEMD)and wavelet analysis in multi-scale period calculation performance. On this basis, the improved HHT was used to analyze further the multi-time scale characteristics of the 39-year rainfall series at 11 stations in Mu Us Sandy Land. [Results] For artificial sequences, the wavelet analysis(symmetric extension)results are relatively large, and there is a significant difference from the preset period(Sig.=0.003<0.05). The periodic results of HHT and wavelet analysis(periodic extension)show no significant difference from the preset period, and the accuracy of HHT(Sig.=0.142>0.05)is slightly higher than that of periodic extension wavelet(Sig.=0.109>0.05). For the measured rainfall series, HHT shows significant regional differences in the main period of rainfall in the Mu Us Sandy Land: the main period of rainfall at the hinterland station is 5.5 years, while at the edge station, it is 2.7~3.3 years. The decomposed residual component indicates that the rainfall at this region showed an upward trend in time and a gradually decreasing distribution state in space from east to west. [Conclusion] This study shows that HHT can extract more hydrological information while maintaining accuracy due to its data-driven, without considering the selection of many parameters, and has more advantages in the multi-scale analysis of regional rainfall series, thus it has important practical application value.