Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 387
Articles | Volume 387
https://doi.org/10.5194/piahs-387-79-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-387-79-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 387
Post-conference publication
 | 
18 Nov 2024
Post-conference publication |  | 18 Nov 2024

Landslide hazard mapping of Wayanad District of Kerala, India, incorporating copula-based estimation of joint probability of rainfall

Shamla Dilama Shamsudeen and Adarsh Sankaran

Viewed

Total article views: 25 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
18 6 1 25 0 0
  • HTML: 18
  • PDF: 6
  • XML: 1
  • Total: 25
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 18 Nov 2024)
Cumulative views and downloads (calculated since 18 Nov 2024)

Viewed (geographical distribution)

Total article views: 25 (including HTML, PDF, and XML) Thereof 25 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2024
Download
Short summary
In order to create a comprehensive map of landslide hazards for each specific location, it is essential to develop and integrate the spatial and temporal probabilities of landslides. This paper proposes a joint-probability framework that uses copula functions to generate a landslide hazard map for Wayanad District of Kerala, India, using multi-site rainfall data taking into account intensity and duration of rainfall.
Read more