Chaos Analysis and Prediction of Monthly Runoff Using a Two-Stage Variational Mode Decomposition Framework-Reference-Cited by-同舟云学术

Chaos Analysis and Prediction of Monthly Runoff Using a Two-Stage Variational Mode Decomposition Framework

Published:2024-08 Issue:4 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Du Shanshan¹,Song Songbai²,Guo Tianli³

Affiliation:

1. Master’s Candidate, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling 712100, China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F Univ., Yangling 712100, China.

2. Professor, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling 712100, China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F Univ., Yangling 712100, China (corresponding author).

3. Doctor Candidate, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling 712100, China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F Univ., Yangling 712100, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6099

Reference59 articles.

1. Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

2. On the influence of noise on the largest Lyapunov exponent of attractors of stochastic dynamic systems

3. Combining two-stage decomposition based machine learning methods for annual runoff forecasting

4. A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction

5. Variational Mode Decomposition

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