Ground Motion Model for the Subduction Zone Environment Using LSTM Network: An Application to the North-East India
Abstract
Northeast India (NEI), one of the world’s most seismically active regions, lacks a region-specific ground motion model (GMM) spanning the full range of magnitudes and distances. To address this gap, we develop an LSTM-based GMM using magnitude, distance, depth, site class, tectonic setting, and a region flag as predictors, and PGA, PGV, and PSA as targets. Two approaches are evaluated: a hybrid model combining NGA-SUB and NEI data, and a transfer-learning model fine-tuned on NEI records. The hybrid model shows low bias, reduced sigma, and strong predictive performance, and preliminary PSHA results support its suitability for NEI regional seismic applications.
Fields of Study & Subjects
Seismic Performance and Analysis
Seismology and Earthquake Studies
earthquake and tectonic studies
Publication details
- Journal / source
- Journal of Earthquake Engineering
- Volume
- 30
- Issue
- 7
- Pages
- 1529–1558
- Publication date
- 19 January 2026
- Language
- EN