Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 3
Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 3
Research article
 | 
24 Mar 2022
Research article |  | 24 Mar 2022

Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China

Shupeng Yue, Xiaodan Sheng, and Fengtian Yang

Viewed

Total article views: 2,688 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,760 837 91 2,688 95 98
  • HTML: 1,760
  • PDF: 837
  • XML: 91
  • Total: 2,688
  • BibTeX: 95
  • EndNote: 98
Views and downloads (calculated since 21 Jul 2021)
Cumulative views and downloads (calculated since 21 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,688 (including HTML, PDF, and XML) Thereof 2,577 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
To develop drought assessment and early warning systems, it is necessary to explore the characteristics of drought and its propagation process. In this article, a generalized and efficient drought research framework is studied and verified. It includes the evaluation of the spatiotemporal evolution, the construction of the return period calculation model, and the quantitative analysis of the meteorological trigger conditions of drought based on an improved Bayesian network model.
Read more
Share
Special issue
Recent advances in drought and water scarcity monitoring,...
Altmetrics
Final-revised paper
Preprint