This article puts forward an artificial neural network (ANN) framework to develop ground‐ motion models (GMMs) for natural and induced earthquakes in Oklahoma, Kansas, and …
GM Atkinson, DM Boore - Bulletin of the Seismological …, 2014 - pubs.geoscienceworld.org
We develop an empirical model of the decay of Fourier amplitudes for earthquakes of M 3–6 recorded on rock sites in eastern North America and discuss its implications for source …
B Hassani, GM Atkinson - Seismological Research …, 2015 - pubs.geoscienceworld.org
We update ground‐motion prediction equations (GMPE s) for eastern North America (ENA) using the referenced empirical approach of. The technique is based on the use of residual …
A ground motion model (GMM) tuned to the characteristics of the observed, and potentially induced, seismicity in Texas, Oklahoma, and Kansas is developed using a database of …
A key issue in the assessment of hazard due to induced seismicity from fluid injection activity is to determine the potential ground motions. Although wastewater disposal typically …
We develop ground‐motion models (GMMs) to characterize the Fourier amplitude spectrum (FAS) for earthquakes in British Columbia (BC), Canada. GMMs developed for FAS are …
We develop a simple model to estimate moment magnitude for events of M< 4 at distances out to∼ 300 km, based on readily available ShakeMap parameters and seismological …
ABSTRACT Parts of Texas, Oklahoma, and Kansas have experienced increased rates of seismicity in recent years, providing new datasets of earthquake recordings to develop …
The research investigates the seismic vulnerability of bridges in Texas by characterizing seismic hazards in the State, developing computational tools to estimate the likelihood of …