Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 11
Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 11
Research article
 | 
23 Nov 2020
Research article |  | 23 Nov 2020

Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He

Viewed

Total article views: 7,600 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,265 1,216 119 7,600 136 156
  • HTML: 6,265
  • PDF: 1,216
  • XML: 119
  • Total: 7,600
  • BibTeX: 136
  • EndNote: 156
Views and downloads (calculated since 20 Dec 2019)
Cumulative views and downloads (calculated since 20 Dec 2019)

Viewed (geographical distribution)

Total article views: 7,600 (including HTML, PDF, and XML) Thereof 7,037 with geography defined and 563 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Apr 2026
Download
Short summary
A two-stage variational mode decomposition and support vector regression is designed to reduce the influence of boundary effects without removing or correcting boundary-affected decompositions. The proposed model significantly reduces the boundary effect consequences, saves modeling time and computation resources, barely overfits the calibration samples, and forecasts monthly runoff reasonably well compared to the benchmark models.
Read more
Share