Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 10
Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3957-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-3957-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 10
Research article
 | 
16 Oct 2025
Research article |  | 16 Oct 2025

Debris flow susceptibility in the Jinsha River Basin, China: a Bayesian assessment framework based on geomorphodynamic parameters

Zhenkui Gu, Xin Yao, and Xuchao Zhu

Viewed

Total article views: 4,444 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,320 936 188 4,444 136 215
  • HTML: 3,320
  • PDF: 936
  • XML: 188
  • Total: 4,444
  • BibTeX: 136
  • EndNote: 215
Views and downloads (calculated since 10 Mar 2025)
Cumulative views and downloads (calculated since 10 Mar 2025)

Viewed (geographical distribution)

Total article views: 4,444 (including HTML, PDF, and XML) Thereof 4,361 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 14 Jun 2026
Download
Short summary
Debris flow susceptibility was assessed using erosion intensity, connectivity, and erodibility. A Bayesian model integrated precipitation and surface conditions to evaluate debris flow risks. Quantitative metrics elucidated debris flow likelihood across diverse spatiotemporal scales. The model accurately predicted a recent debris flow event, validating its disaster assessment.
Read more
Share
Altmetrics
Final-revised paper
Preprint