Articles | Volume 24, issue 2
https://doi.org/10.5194/nhess-24-465-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-465-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Feb 2024
Research article |
| 13 Feb 2024
| 13 Feb 2024
Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Sudhanshu Dixit
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Srikrishnan Siva Subramanian
CORRESPONDING AUTHOR
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Piyush Srivastava
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Ali P. Yunus
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, 140306, Punjab, India
Tapas Ranjan Martha
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Department of Space, Government of India, Balanagar, 500037, Hyderabad, Telangana, India
Sumit Sen
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
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Short summary
Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards....
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