Deep learning forecasting of large induced earthquakes via precursory signals
Precursory phenomena to earthquakes have always attracted researchers' attention. Among
the most investigated precursors, foreshocks play a key role. However, their prompt …
the most investigated precursors, foreshocks play a key role. However, their prompt …
Premonitory Earthquakes Clustering Process in an Equivalent Dimensions Space before the 2017 8.2 Tehuantepec, Mexico, Mainshock
S Lasocki, VG Karakostas… - Seismological …, 2025 - pubs.geoscienceworld.org
The transformation to equivalent dimensions, an innovative methodology to investigate
earthquake clustering, is engaged in tracking the preparatory process of the 2017 M w 8.4 …
earthquake clustering, is engaged in tracking the preparatory process of the 2017 M w 8.4 …
How many strong earthquakes will there be tomorrow?
M Taroni, I Spassiani, N Laskin… - Frontiers in Applied …, 2023 - frontiersin.org
In this note, we study the distribution of earthquake numbers in both worldwide and regional
catalogs: in the Global Centroid Moment Tensor catalog, from 1980 to 2019 for magnitudes …
catalogs: in the Global Centroid Moment Tensor catalog, from 1980 to 2019 for magnitudes …
Autoregressive conditional duration modeling and forecasting the earthquakes temporal data of the different regions of Pakistan
Pakistan is situated in an earthquake-prone area, and in the past, many destructive
earthquakes have occurred including the most destructive 1935 Quetta, and 2005 Kashmir …
earthquakes have occurred including the most destructive 1935 Quetta, and 2005 Kashmir …
A Physics-Informed Stochastic Model for Long-Term Correlation of Earthquakes
In this work, a simple physics-informed stochastic earthquake catalog simulator is presented
for the modeling of long memory on a single fault (or crustal volume). The simulation …
for the modeling of long memory on a single fault (or crustal volume). The simulation …
[PDF][PDF] AN IMPROVED STACKING FILTERING FOR EXTRACTING THE COMMON-MODE ERRORS ON GNSS COORDINATE TIME SERIES IN SHANXI.
LI Wei, LI Xiaotong, Z Jianfei, SUI Zhemin… - Acta Geodynamica et …, 2022 - irsm.cas.cz
The presence of common mode error (CME) in the coordinate displacement time series of
the Global Navigation Satellite System (GNSS) affects geophysical studies using GNSS …
the Global Navigation Satellite System (GNSS) affects geophysical studies using GNSS …