Julian J. Bommer

TL;DR: In this paper, a large and uniform dataset is used to find equations for the prediction of absolute spectral acceleration ordinates in Europe and adjacent areas, in terms of magnitude, source-distance and site geology.

TL;DR: In this paper, the authors present an up-to-date review of the state of knowledge about induced seismicity during the creation and operation of enhanced geothermal systems, and point out the gaps in knowledge that if addressed will allow an improved understanding of the mechanisms generating the events as well as serve as a basis to develop successful protocols for monitoring and addressing community issues associated with such induced earthquakes.

TL;DR: In this article, the authors present an update that corrects the shortcomings identified in those equations, which are primarily, but not exclusively, related to the model for the ground-motion variability.

TL;DR: Options for processing strong-motion accelerograms are presented, discussed and evaluated from the perspective of engineering application, to avoid errors in the interpretation and use of the results.

TL;DR: The program RspMatch, which performs spectral matching using wavelets, is modified using new wavelets that obviate the need to subsequently apply a baseline correction and enables the accelerograms to be matched to the pseudo-acceleration or displacement spectral ordinates as well as the spectrum of absolute acceleration.