Welcome to www.gmpe.org.uk, a site that hosts the GMPE compendium by John Douglas, a Chancellor's Fellow (Lecturer) at the University of Strathclyde, Glasgow, UK.

Ground motion prediction equations (GMPEs) are mathematical expressions to estimate the earthquake shaking that would be felt at a site given the occurrence of an earthquake of a certain size at a nearby location. GMPEs play a key role in engineering seismology and earthquake engineering as they are used to provide estimates of the forces that a structure may undergo during an earthquake. GMPEs generally provide a prediction in terms of an scalar intensity measure (IM) of the earthquake shaking.

The compendium provided by this website provides details of published models for the commonly-used IMs of peak ground acceleration (PGA) and linear elastic response spectral ordinates (acceleration, velocity and displacement). It also provides brief characteristics of models for: peak ground velocity (PGV) and displacement (PGD), Arias intensity (AI), cumulative absolute velocity (CAV), Fourier spectral amplitudes (FSA), inelastic response spectral ordinates (ISO), Japanese Meterological Agency (JMA) seismic intensity, mean period (MP) and relative significant duration (RSD). The focus is on empirical GMPEs, i.e. those derived from recorded strong-motion data, but lists are provided of simulation-based GMPEs.

A review article based on this compendium has recently been published in Earth-Science Reviews

Please contact me if a model is missing or if you find an error. Thank you.

Click here to access the compendium in html. Last updated 18 August 2016

Click here to download the compendium in PDF. Last updated 18 August 2016

Click here for a presentation on Recent and Future Developments in Earthquake Ground Motion Estimation given at the SECED evening meeting of 25 May 2016

Click here to download the FORTRAN program CHEEP (Composite Hybrid Equation Estimation Program) developed for the article 'Ground-motion prediction equations for southern Spain and southern Norway obtained using the composite model perspective' by Douglas et al. (2006, Journal of Earthquake Engineering, 10(1), 33-72).