An improved Probabilistic Seismic Hazard Assessment of Tripura, India
Suman Sinha, S. Selvan

TL;DR
This study provides an improved probabilistic seismic hazard assessment for Tripura, India, using layered sources and data-driven ground motion models, resulting in more accurate hazard maps for earthquake-resistant design.
Contribution
It introduces a layered seismogenic source model and a data-driven GMPE selection process, enhancing the accuracy of seismic hazard estimates in Tripura.
Findings
Significant improvement over previous hazard maps.
High-resolution hazard distribution at 0.05° grid.
Useful for earthquake-resistant structural design.
Abstract
The State of Tripura lies in northeast India which is considered to be one of the most seismically active regions of the world. In the present study, a realistic Probabilistic Seismic Hazard Assessment (PSHA) of Tripura State based on improved seismogenic sources considering layered polygonal sources corresponding to hypo-central depth range of 0 to 25 km, 25 to 70 km and 70 to 180 km, respectively and data driven selection of suitable Ground Motion Prediction Equations (GMPEs) in a logic tree framework is presented. Analyses have been carried out by formulating a layered seismogenic source zonation together with smooth-gridded seismicity. Using the limited accelerogram records available, most suitable GMPEs have been selected after performing a thorough quantitative assessment and thus the uncertainty in selecting appropriate GMPEs in PSHA has been addressed by combining them with…
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