EGU24-15655, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-15655
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Satellite derived Intensity- Duration (ID) thresholds for landslide forecast in Idukki, India

Anamika Sekar and Srikrishnan Siva Subramanian
Anamika Sekar and Srikrishnan Siva Subramanian
  • Indian Institute of Technology Roorkee, Centre of Excellence in Disaster Mitigation and Management, India (anamika_s@dm.iitr.ac.in)

The Idukki district of Kerala experienced its worst disaster since 1924 in 2018 due to the excessive rain during the monsoon season from June to August. There were devastating landslides throughout the district accounting for the highest among the state which included debris flow, soil slides and rockfalls,  ever since making the area more susceptible to landslides. Thus, forging the impending need of an early warning system is crucial. Here, the study attempts to create a rainfall threshold to predict landslides through a satellite based precipitation product - GPM (Global Precipitation Mission Integrated Multi-satellitE Retrievals). The global coverage and the improved resolution of the data makes it more effective in mitigating landslide disaster risk.  Hourly precipitation data was obtained from GPM for the 23 grids within the district where there was an occurrence of debris flow. As the largest number of landslides happened during a second spell of intense rainfall that lasted from July 11 to August 19, 2018, the rainfall during this time was analyzed. A total of 4 days in these two months were identified with high amounts of rainfall with August 15th showing continuous rainfall for 24 hours. Using the rainfall and the landslide data for 2018 the overall regional threshold over the district was estimated to be I= 5.42D-0.16, where I is the rainfall intensity in mm/hr and D is the event duration. A more precise threshold could be obtained by considering grid-wise rainfall thresholds in a more detailed analysis. 

How to cite: Sekar, A. and Siva Subramanian, S.: Satellite derived Intensity- Duration (ID) thresholds for landslide forecast in Idukki, India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15655, https://doi.org/10.5194/egusphere-egu24-15655, 2024.