Ground Deformation Data from GEER Investigations of Ridgecrest Earthquake Sequence

Abstract

Following the Ridgecrest earthquake sequence, consisting of an M 6.4 foreshock and M 7.1 mainshock along with many other events, the Geotechnical Extreme Events Reconnaissance association deployed a team to gather perishable data. The team focused their efforts on documenting ground deformations including surface fault rupture south of the Naval Air Weapons Station China Lake, and liquefaction features in Trona and Argus. The team published a report within two weeks of the M 7.1 mainshock. This article presents data products gathered by the team, which are now published and publicly accessible. The data products presented herein include ground-based observations using Global Positioning System trackers, digital cameras, and hand-measuring devices, as well as unmanned aerial vehicle-based imaging products using Structure from Motion to create point clouds and digital surface models. The article describes the data products, as well as tools available for interacting with the products.

Bookshelf Kinematics and the Effect of Dilatation on Fault Zone Inelastic Deformation: Examples from Optical Image Correlation Measurements of the 2019 Ridgecrest Earthquake Sequence

“…The 2019 Ridgecrest earthquake sequence initiated on July 4 th with a series of foreshocks that included a Mw 6.4 event and culminated 34 hours later with a Mw 7.1 mainshock event. This sequence was also notable in that it resulted in rupture of a set of more than 20 cross-faults (Brandenberg et al, 2020;Ross et al, 2019;Xu et al, 2020). The earthquake sequence occurred within the northern region of the Eastern California Shear Zone (ECSZ), a 150-km-wide zone of NW-trending dextral shear that accommodates up to ~20% of the North America-Pacific plate boundary motion (McClusky et al, 2001;Rockwell et al, 2000).…”

Bookshelf Kinematics and the Effect of Dilatation on Fault Zone Inelastic Deformation: Examples From Optical Image Correlation Measurements of the 2019 Ridgecrest Earthquake Sequence

“…

The 2019 Ridgecrest earthquake sequence initiated on July 4th with a series of foreshocks that included an M w 6.4 event and culminated 34 h later with the M w 7.1 mainshock event. This sequence was also notable in that it resulted in rupture of a set of more than 20 cross-faults (Brandenberg et al, 2020;Ross et al, 2019;Xu et al, 2020). The earthquake sequence occurred within the northern region of the eastern California shear zone (ECSZ), a 150-km wide zone of NW-trending dextral shear that accommodates up to ∼20% of the North America-Pacific plate boundary motion (McClusky et al, 2001;Rockwell et al, 2000).

…”

Enhancing Research in Natural Hazards Engineering Through the DesignSafe Cyberinfrastructure

“…These examples are derived from current work being enabled by DesignSafe, and include (1) a Jupyter notebook that allows researchers to interrogate experimental data interactively within the DesignSafe web portal (Arduino et al, 2018), (2) a computational workflow that integrates ensembles of HPCbased storm surge simulations and uncertainty quantification to estimate wind drag coefficients, (3) a computational workflow that optimizes building shape for wind effects using HPC-based computational fluid dynamics simulations and surrogate modeling (Ding et al, 2019), and (4) published field reconnaissance datasets from recent natural hazards (e.g., FIGURE 1 | Main components of the DesignSafe cyberinfrastructure. Kijewski-Correa et al, 2018;Brandenberg et al, 2020). We conclude with an overall assessment of current DesignSafe impact and usage.…”

“…The Geotechnical Extreme Events Reconnaissance (GEER, www.geerassociation.org) Association, part of the CONVERGE network, deployed a team to Ridgecrest, CA following the Ridgecrest earthquake sequence on July 4 and 5, 2019, and made significant use of DesignSafe resources to coordinate their field efforts, curate and publish their data, and visualize their data products (Brandenberg et al, 2019(Brandenberg et al, , 2020Stewart et al, 2019). The data were published in the Data Depot using the "Field Research Project" data model, and are organized into collections representing different types of data.…”