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Existing Ground Motion Prediction Equations (GMPE) in practice for North East India have been developed using limited or simulated datasets of recorded ground motions. The current study presents the development of a new GMPE based on a well-established model considering actual recorded ground motion data comprising of acceleration, magnitude, and hypocentral distances. A larger dataset with magnitudes ranging from 4.2 to 6.9 and up to 640 kms, with a total of 204 recordings is used in non-linear multiple-regression. The newly developed GMPE could predict ground acceleration realistically over larger ranges of distance and magnitudes, compared to existing GMPEs. [ABSTRACT FROM AUTHOR]

A new region-specific Ground Motion Prediction Equation (GMPE) was developed for the North and Central Himalayas purely based on recorded strong motion data. The GMPE was generated using multiple-regression, considering ground acceleration, magnitude, and hypocentral distance. An updated larger dataset was used in the present study, making the new equation applicable to a larger magnitude range of 4.1 to 7.8 and distance range up to 1560 kms, thus overcoming a major limitation of currently available region-specific GMPEs. The new GMPE was validated and observed to predict ground acceleration more accurately with noticeably less residuals as compared to existing GMPEs. [ABSTRACT FROM AUTHOR]