Articles | Volume 387
https://doi.org/10.5194/piahs-387-79-2024
https://doi.org/10.5194/piahs-387-79-2024
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: 105 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
73 30 2 105 1 2
  • HTML: 73
  • PDF: 30
  • XML: 2
  • Total: 105
  • BibTeX: 1
  • EndNote: 2
Views and downloads (calculated since 18 Nov 2024)
Cumulative views and downloads (calculated since 18 Nov 2024)

Viewed (geographical distribution)

Total article views: 102 (including HTML, PDF, and XML) Thereof 102 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Dec 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.