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

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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.
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