Comparison of the MK test and EMD method for trend identification in hydrological time series
By Yanfang Sang, Zhonggen Wang, Changming Liu. 2014
184 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3de8849812a4047b61415c7784b5add9431edef6
How researchers see this paper
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In Electrical and Electronic Engineering
In Environmental Engineering
- Hongbo Zhang
- Yinghao Yu
- Vijay P. Singh
- Shenglian Guo
- Shih-Chieh Kao
- Rao S. Govindaraju
- Ozgur Kisi
- Lu Chen
In Global and Planetary Change
- Hongbo Zhang
- Yinghao Yu
- Vijay P. Singh
- Shenglian Guo
- Lu Chen
- M. Janga Reddy
- Songbai Song
- Chong-yu Xu
Citations in the corpus
- Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model (2018, methodology): “When the decomposition result of the EMD is perfect, the high-frequency components, the low-frequency components and the residual obtained by the decomposition can be approximated as random components, periodic components, and the trend [27,28].”