01-05 December 2025
INCOIS, Hyderabad, India.
| Abstract Submission No. | ABS-05-0382 |
| Title of Abstract | Integrated GNSS Source Parameter Estimation and Real-time Tsunami Modeling for Enhanced Early Warning in the Andaman and Nicobar Archipelago |
| Authors | Dr. Ch. Patanjali Kumar*, M.V. Sunanda, Dr. B. Ajay Kumar, Dr. R.S. Mahendra, T.N.C. Karthik, Dr. K. Siva Srinivas, Veera Ganesh, Dr. TVS Udaya Bhaskar, Dr. Sudheer Joseph, Dr. TM. Balakrishnan Nair |
| Organisation | Indian National Centre for Ocean Information Services (INCOIS) |
| Address | INCOIS Hyderabad, Telengana, India Pincode: 500090 E-mail: patanjali@incois.gov.in |
| Country | India |
| Presentation | Oral |
| Abstract | A comprehensive Global Navigation Satellite System (GNSS) and Strong Motion Accelerometer (SMA) network comprising 35 stations has been deployed across the Andaman and Nicobar Islands to monitor coseismic displacements arising from tsunamigenic earthquakes. This study introduces a robust methodology for rapid estimation of earthquake source parameters using advanced GNSS data processing coupled with real-time tsunami hazard assessment. The proposed approach utilizes moment tensor inversion, leveraging preprocessed GNSS time series (North/South, East/West, Up/Down) alongside station coordinates and pre-event noise characteristics from all monitoring stations. Green⿿s functions are computed with region-specific multi-layered crustal velocity models, enabling accurate integrations for moment tensor solutions. By performing multiple centroid-based inversions and selecting optimal results through systematic misfit analysis, this methodology ensures precise parameter determination. Tsunami inundation is modeled in real-time using advanced numerical codes, achieving complete tsunami propagation and inundation simulations within five minutes for extended scenarios. Evacuation modeling is carried out for key vulnerable locations, such as Port Blair and Car Nicobar, across varied earthquake scenarios. Results emphasize the pivotal role of network station density and spatial distribution in effectively retrieving fault geometry, particularly fault length, strike, and slip. However, fine-tuning is warranted to improve the network⿿s ability to estimate dip angle, depth, and fault width. The integrated workflow combining rapid seismic source parameter determination with real-time tsunami modeling and evacuation simulation establishes a comprehensive operational framework for tsunami early warning systems. The study recommends the adoption of this rapid moment tensor inversion methodology integrated with real-time tsunami impact modeling and evacuation exercises at the Indian Tsunami Early Warning Centre. Implementation of this approach will substantially enhance the effectiveness and timeliness of operational tsunami warning and response services for both the Andaman and Nicobar archipelago and the broader Indian coastline. |
| Are you part of IIOE-2 endorsed project | no |
| Keywords | GNSS, Tsunami Early Warning, TUNAMI, ADCIRC, evacuation |
| For Awards | no |