Rapid Synthesis of Surface Rupture Mapping and Observation Data During Response to the 2019 Ridgecrest Earthquake Sequence, CA
Abstract
The 2019 Ridgecrest Earthquake Sequence provided an opportunity to test, improve, and refine methods for rapidly collecting, aggregating, and disseminating field observations after a large and complex surface rupturing earthquake. The Ridgecrest Earthquake Sequence produced ~18km of surface rupture on a left-lateral NE trending fault (M6.4, July 4th) and ~50km of surface rupture on a cross-cutting, right-lateral NW trending fault (M7.1, July 5th), resulting in complex and distributed deformation. Reconnaissance teams from various scientific institutions responded within hours of the initial M6.4 earthquake, to collect point observations and map surface rupture. Here we outline methods used to collect, compile, and organize observations, and show the progression of surface rupture mapping and observational data received during the first three weeks of earthquake response. In addition to traditional field mapping techniques, digital tools were implemented to rapidly collect and compile field data. A mobile GIS application adapted by the California Geological Survey was utilized to streamline observation collection and provide field teams with a structured and consistent way of collecting surface rupture data. The data could also be live-synced for rapid compilation and availability. The application form and data schemas were continually updated, incorporating feedback from field teams and coordinators. Field data was also received in various ASCII and binary formats (e.g., kml, gps, csv, shp, photographs), which were extracted, parsed, and combined into a single database by in-office teams. Provisional maps (pdf and kmz) with surface rupture and observation locations were updated and distributed beginning July 11th and subsequently every few days. Rapid synthesis of data proved imperative for generating situational awareness maps, creating illustrations used by the public and media, defining areas of interest for lidar collection, and assisting field teams to efficiently map a complex rupture by identifying areas lacking observations and mapping. This earthquake response highlights the evolving methodology for quickly collecting and disseminating earthquake rupture data and the need to refine and standardize these practices before the next surface rupturing earthquake.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.S31F0458P
- Keywords:
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- 7299 General or miscellaneous;
- SEISMOLOGY