Special Issue Current Challenges In Statistical Seismology
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Advances in Earthquake Research and Engineering
Earthquakes have been a topic of great interest for years, particularly in understanding their causes, characteristics, and the role of seismic waves in studying them. Seismic data are also integrated with other information to investigate the plate tectonic processes that cause earthquakes. This book covers a wide range of topics, including earthquake disasters by computational gravimetry, seismic resistant buildings, statistical seismology, geomagnetic and ionospheric anomalies as earthquake precursors, crustal Velocity and source rupture models, ground motion amplification, socio-economic impacts of earthquakes, SAR differential interferometry and paleoseismic zones of the earth’s crust.
Current Challenges in Statistical Seismology
This special issue emerged following the 2013 8th International Statistical Seismology (StatSei8) workshop in Beijing. The articles within have been collected to report on exciting new research in statistical seismology methods and applications; it contains a collection of the newest methods, techniques and results related to statistical analysis of earthquake occurrence and earthquake probability forecasting. The articles within ultimately help to define future research directions in the field. Especially, the rapid development of observation technologies has brought geophysical research into the big-data era. This includes not only non-seismicity geophysical data, such as GPS observation on surface displacement, InSAR observation of the co-seismic deformation, ionospheric observations, etc., but also extended seismological data including slow earthquakes, tremor, and VLF earthquakes. The subject of statistical seismology bridges the gap between physical and statistical models. Many significant achievements have been accomplished during the last several decades, including formulation of conditional intensity models for quantifying seismicity rates, earthquake probability forecasts, and theories related to rigorous testing of forecast models.