Analysis of daily river flow fluctuations using Empirical Mode Decomposition and arbitrary order Hilbert spectral analysis
By Yongxiang Huang, François G. Schmitt, Zhiming Lu, Yu-lu Liu. 2009
148 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/2c7fba7eddffeea4525d624b5535a2c56a1760f5
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In Environmental Engineering
- Hongbo Zhang
- Xu Chen
- Yinghao Yu
- Vijay P. Singh
- Xuehua Zhao
- Shenglian Guo
- Shih-Chieh Kao
- Rao S. Govindaraju
In Global and Planetary Change
Citations in the corpus
- Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model (2018, methodology): “Nowadays, EMD has become a new method for multi-time-scale analysis of non-stationary hydrological time series and has been successfully applied in hydrological research around the world [29,30].”
- Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting (2015, methodology): “2007; Huang and Wu 2008) to overcome the shortcoming of mode mixing caused by signal intermittency in EMD (Huang et al. 2009).”