|
|
|
|
|
Mulugeta Dugda and Farzad Moazzami
In computational seismology, receiver functions represent the impulse response for the earth structure beneath a seismic station and, in general, these are functionals that show several seismic phases in the time-domain related to discontinuities within ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Locci-Lopez and Juan M. Lorenzo
Shear-wave seismic reflection velocity-versus-depth models can complement our understanding of seepage pore pressure variations beneath earthen levees at locations between geotechnical sites. The seasonal variations of water level in the Mississippi Rive...
ver más
|
|
|
|
|
|
|
|
|
|
|
George Kaviris, Vasilis Kapetanidis, Ioannis Spingos, Nikolaos Sakellariou, Andreas Karakonstantis, Vasiliki Kouskouna, Panagiotis Elias, Andreas Karavias, Vassilis Sakkas, Theodoros Gatsios, Ioannis Kassaras, John D. Alexopoulos, Panayotis Papadimitriou, Nicholas Voulgaris and Issaak Parcharidis
We investigate an earthquake sequence involving an Mw = 4.6 mainshock on 2 December 2020, followed by a seismic swarm in July?October 2021 near Thiva, Central Greece, to identify the activated structures and understand its triggering mechanisms. For this...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matteo Taroni, Jacopo Selva and Jiancang Zhuang
The use of the tapered Gutenberg-Richter distribution in earthquake source models is rapidly increasing, allowing overcoming the definition of a hard threshold for the maximum magnitude. Here, we expand the classical maximum likelihood estimation method ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matteo Taroni, Giorgio Vocalelli and Andrea De Polis
We introduce a novel approach to estimate the temporal variation of the b-value parameter of the Gutenberg?Richter law, based on the weighted likelihood approach. This methodology allows estimating the b-value based on the full history of the available d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Julián Miranda, Angélica Flórez, Gustavo Ospina, Ciro Gamboa, Carlos Flórez and Miguel Altuve
This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques. Machine learning is used to identify P-wave windows in historic records and hence detect seismic events. The proposed model has five modul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artem A. Krylov, Mikhail A. Novikov, Sergey A. Kovachev, Konstantin A. Roginskiy, Dmitry A. Ilinsky, Oleg Yu. Ganzha, Vladimir N. Ivanov, Georgy K. Timashkevich, Olga S. Samylina, Leopold I. Lobkovsky and Igor P. Semiletov
This paper is devoted to the features of seismological observations in the Arctic seas, which are complicated by harsh climatic conditions, the presence of ice cover, stamukhi and icebergs, and limited navigation. Despite the high risk of losing expensiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Deniz Ertuncay, Andrea De Lorenzo and Giovanni Costa
Ground motions recorded in near-fault regions may contain pulse-like traces in the velocity domain. Their long periodicity can identify such signals with large amplitudes. Impulsive signals can be hazardous for buildings, creating large demands due to th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pier Paolo G. Bruno
In this paper, seismic exploration methods are reviewed with a particular emphasis on the use of the reflection seismology to investigate the subsurface structures and characterize active faults. The paper provides a descriptive overview, intended for a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matteo Picozzi and Antonio Giovanni Iaccarino
Earthquakes prediction is considered the holy grail of seismology. After almost a century of efforts without convincing results, the recent raise of machine learning (ML) methods in conjunction with the deployment of dense seismic networks has boosted ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hang Zhang, Chunchi Ma, Veronica Pazzi, Yulin Zou and Nicola Casagli
Denoising methods are a highly desired component of signal processing, and they can separate the signal of interest from noise to improve the subsequent signal analyses. In this paper, an advanced denoising method based on a fully convolutional encoder?d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rocio L. Segura, Carl Bernier, Capucine Durand and Patrick Paultre
Most gravity dams have been designed and built during the past century with methods of analysis that are now considered inadequate. In recent decades, knowledge of seismology, structural dynamics and earthquake engineering has greatly evolved, leading to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Styliani Tassiopoulou, Georgia Koukiou and Vassilis Anastassopoulos
In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field?s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation al...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenyu Cao, Benbo Sun and Pengxiao Wang
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat...
ver más
|
|
|
|
|
|