Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Guy Ouillon"'
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 5, Pp 745-761 (2017)
The earthquake-alarm model developed by Chen and Chen (Nat. Hazards 2016) is investigated to validate its forecasting performance for the 2016/2/6, ML 6.6 Meinong, Taiwan earthquake. This alarm model is based on geoelectric field skewness and kurtosi
Externí odkaz:
https://doaj.org/article/5cc4d136845f4e3d9853e717752bb40f
Publikováno v:
The European Physical Journal Special Topics. 230:473-490
We conclude this special issue on the Global Earthquake Forecasting System (GEFS) by briefly reviewing and analyzing the claims of non-seismic precursors made in the present volume, and by reflecting on the current limitations and future directions t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb3363c5fd45e2e6b30976d5a32054a
https://doi.org/10.1140/epjst/e2020-000261-8
https://doi.org/10.1140/epjst/e2020-000261-8
Publikováno v:
The European Physical Journal Special Topics. 230:451-471
Predictability of earthquakes has been vigorously debated in the last decades with the dominant -albeit contested -view being that earthquakes are inherently unpredictable. The absence of a framework to rigorously evaluate earthquake predictions has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6cdad98828f77382716333863a08a5
https://doi.org/10.1140/epjst/e2020-000260-2
https://doi.org/10.1140/epjst/e2020-000260-2
Publikováno v:
The European Physical Journal Special Topics. 230:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556b0016c72a1d2d8377898eb4fc4cc2
https://doi.org/10.1140/epjst/e2020-000242-4
https://doi.org/10.1140/epjst/e2020-000242-4
Publikováno v:
The European Physical Journal Special Topics. 230:7-46
Forecasting earthquakes implies that there are time-varying processes, which depend on the changing conditions deep in the Earth's crust prior to major seismic activity. These processes may be linearly or non-linearly correlated. In seismology, the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d1c0285cfcd38d1d04d4a1b61540ac
https://doi.org/10.1140/epjst/e2020-000243-x
https://doi.org/10.1140/epjst/e2020-000243-x
Publikováno v:
The European Physical Journal Special Topics. 230:133-150
Recently, researchers have conducted long-term statistical studies to prove the correspondence between earthquakes and thermal infrared (TIR) anomalies. Upon obtaining relatively high true positive rates (TPR), it was concluded that TIR anomalies are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b2ef555e700fd51bc025dbc92fe8fb
https://doi.org/10.1140/epjst/e2020-000248-4
https://doi.org/10.1140/epjst/e2020-000248-4
Publikováno v:
The European Physical Journal Special Topics. 230:425-449
We present rigorous tests of global short-term earthquake forecasts using Epidemic Type Aftershock Sequence models with two different time kernels (one with exponentially tapered Omori kernel (ETOK) and another with linear magnitude dependent Omori k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40a08627a6cb9f22389f51aee0a1e32e
https://doi.org/10.1140/epjst/e2020-000259-3
https://doi.org/10.1140/epjst/e2020-000259-3
Publikováno v:
Journal of Geophysical Research: Solid Earth, 127 (8)
Fundamentally related to the ultraviolet (UV) divergence problem in physics, conventional wisdom in statistical seismology is that the smallest earthquakes, which are numerous and often go undetected, dominate the triggering of major earthquakes, mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d675ac84e2df7c09e7e247781c00fc
https://doi.org/10.1002/essoar.10510831.1
https://doi.org/10.1002/essoar.10510831.1
Publikováno v:
Journal of Geophysical Research: Solid Earth. 124:8404-8425
Currently, one of the best performing and most popular earthquake forecasting models rely on the working hypothesis that: "locations of past background earthquakes reveal the probable location of future seismicity". As an alternative, we present a cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee10e3256ea627cb2e0c0545bb03bc3e
https://doi.org/10.1029/2018jb016668
https://doi.org/10.1029/2018jb016668
Publikováno v:
EGUsphere
Recent advances in machine learning and pattern recognition methods have propagated into various applications in seismology. Phase picking, earthquake location, anomaly detection and classification applications have benefited also from the increased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2176388143a8d3abb7b81c922b90ebc8
https://hdl.handle.net/20.500.11850/527422
https://hdl.handle.net/20.500.11850/527422