Articles | Volume 30, issue 12
https://doi.org/10.5194/hess-30-3925-2026
https://doi.org/10.5194/hess-30-3925-2026
Research article
 | 
26 Jun 2026
Research article |  | 26 Jun 2026

Daily drought prediction in the Huaihe River Basin using VMD-informer-LSTM

Min Li, Ming Ou, Yuhang Yao, and Changman Yin

Viewed

Total article views: 3,512 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,160 1,129 223 3,512 13 200 293
  • HTML: 2,160
  • PDF: 1,129
  • XML: 223
  • Total: 3,512
  • Supplement: 13
  • BibTeX: 200
  • EndNote: 293
Views and downloads (calculated since 23 Dec 2025)
Cumulative views and downloads (calculated since 23 Dec 2025)

Viewed (geographical distribution)

Total article views: 3,512 (including HTML, PDF, and XML) Thereof 3,450 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 07 Aug 2026
Download
Short summary
This study examines the risk of possible water shortages in the Huaihe River Basin and explores whether dry periods can be predicted more reliably. Using decades of daily environmental records, we built a model that separates complex signals into simpler parts and learns their patterns. It forecasts dry conditions more accurately than earlier methods and performs well across regions and time spans. The findings can help the basin prepare for potential water shortages and support better planning.
Share