Rapid characterization of the July 2019 Ridgecrest, California, earthquake sequence from raw seismic data using machine‐learning phase picker

M Liu, M Zhang, W Zhu… - Geophysical Research …, 2020 - Wiley Online Library
The two principle earthquakes of the July 2019 Ridgecrest, California, earthquake
sequence, MW 6.4 and 7.1, and their immediate foreshocks and thousands of aftershocks …

[HTML][HTML] Interpretable machine learning for assessing the cumulative damage of a reinforced concrete frame induced by seismic sequences

PC Lazaridis, IE Kavvadias, K Demertzis, L Iliadis… - Sustainability, 2023 - mdpi.com
Recently developed Machine Learning (ML) interpretability techniques have the potential to
explain how predictors influence the dependent variable in high-dimensional and non-linear …

Seismic multi-hazard and impact estimation via causal inference from satellite imagery

S Xu, J Dimasaka, DJ Wald, HY Noh - Nature Communications, 2022 - nature.com
Rapid post-earthquake reconnaissance is important for emergency responses and
rehabilitation by providing accurate and timely information about secondary hazards and …

[HTML][HTML] Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

AI Turan, A Celik, A Kumbasaroglu… - Engineering Science and …, 2024 - Elsevier
Earthquakes of magnitude M w= 7.7 and M w= 7.6 hit the city of Kahramanmaraş (Turkey) on
6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey …

Fault zone imaging with distributed acoustic sensing: Body‐to‐surface wave scattering

J Atterholt, Z Zhan, Y Yang - Journal of Geophysical Research …, 2022 - Wiley Online Library
Fault zone structures at many scales largely dictate earthquake ruptures and are controlled
by the geologic setting and slip history. Characterizations of these structures at diverse …

Next-generation liquefaction database

SJ Brandenberg, P Zimmaro, JP Stewart… - Earthquake …, 2020 - journals.sagepub.com
The Next-Generation Liquefaction database is a resource for the geotechnical hazard
community. It is publicly available online under the following digital object identifier (DOI) …

Seismotectonics and fault geometries of the 2019 Ridgecrest sequence: Insight from aftershock moment tensor catalog using 3‐D Green's functions

X Wang, Z Zhan - Journal of Geophysical Research: Solid …, 2020 - Wiley Online Library
Abstract The 2019 Mw 7.1 Ridgecrest earthquake occurred on 6 July, preceded by the Mw
6.4 foreshock on 4 July 2019. These two earthquakes occurred close in space and time with …

Using Daily Observations from Planet Labs Satellite Imagery to Separate the Surface Deformation between the 4 July  6.4 Foreshock and 5 July  7.1 Mainshock …

C Milliner, A Donnellan - Seismological Research Letters, 2020 - pubs.geoscienceworld.org
Abstract On 4 July 2019, the Ridgecrest earthquake sequence began with a series of
foreshocks including an M w 6.4 event near Searles Valley, California. This was then …

Documentation of surface fault rupture and ground‐deformation features produced by the 4 and 5 July 2019 Mw 6.4 and Mw 7.1 Ridgecrest earthquake sequence

DJ Ponti, JL Blair, CM Rosa… - Seismological …, 2020 - pubs.geoscienceworld.org
The M w 6.4 and M w 7.1 Ridgecrest earthquake sequence occurred on 4 and 5 July 2019
within the eastern California shear zone of southern California. Both events produced …

[HTML][HTML] Width of surface rupture zone for thrust earthquakes: implications for earthquake fault zoning

P Boncio, F Liberi, M Caldarella… - Natural Hazards and …, 2018 - nhess.copernicus.org
The criteria for zoning the surface fault rupture hazard (SFRH) along thrust faults are defined
by analysing the characteristics of the areas of coseismic surface faulting in thrust …