Comparison of Surface Fault Displacement Interpretations From Field and Aerial Data for the M 6.4 and 7.1 2019 Ridgecrest Earthquake Ruptures
Session: Fault Displacement Hazard: New Data and Modeling Advances II
Type: Oral
Date: 4/23/2021
Presentation Time: 10:30 AM Pacific
Description:
Surface fault rupture presents a significant potential hazard for structures and lifelines. Predictive fault displacement (FD) models are poorly constrained due to limited numbers of detailed observations. FD data has been traditionally difficult to collect in a comprehensive way because 1) surface displacement evidence is highly perishable and 2) secondary off-fault rupture features, which occur over relatively large areas and affect a large number of sites, are seldom systematically characterized by reconnaissance teams. Documentation of surface rupture features can be achieved using traditional field mapping, but aerial technologies developed in recent years quantify surface rupture features more efficiently and more comprehensively, given the limited human resources available immediately post-event. Small Uninhabited Aerial Systems (sUAS) provide rapid and low-cost detection of surface ruptures and allow imaging of regions that may be difficult to access by roads or on foot. Airborne light detection and ranging (lidar) can also capture high-resolution surface ruptures in a large area, but is more costly than sUAS techniques. The accuracy of sUAS and lidar methods, as well as the human effort level required, are assessed for their resolution and suitability for hazard modeling using the largest two events from the 2019 Ridgecrest Earthquake Sequence. As part of the reconnaissance work, we defined a study area and coordinated with multiple groups for ground surface observations, sUAS, and lidar surveys. The comparison of interpreted results allows for a validation of the data collected across various techniques and provides constraints for the data that can only be accessed via aerial imaging. In this study, we present an interpretation of results from these techniques, provide an assessment of their ability to capture FDs, and summarize recommendations for future data collection following earthquakes.
Presenting Author: Christine A. Goulet
Student Presenter: No
Authors
Christine Goulet Presenting Author Corresponding Author cgoulet@usc.edu Southern California Earthquake Center |
Yongfei Wang yongfeiw@usc.edu University of Southern California |
Chukwuebuka Nweke chukwueb@usc.edu University of Southern California |
Bo-Xiang Tang bursontung97@g.ucla.edu University of California, Los Angeles |
Pengfei Wang wltcwpf@ucla.edu University of California, Los Angeles |
Kenneth Hudson khud27@g.ucla.edu University of California, Los Angeles |
Sean Ahdi sahdi@ucla.edu University of California, Los Angeles |
Xiaofeng Meng xiaofenm@usc.edu University of Southern California |
Martin Hudson mbhudson@tcco.com Turner Construction Company |
Andrea Donnellan andrea.donnellan@jpl.nasa.gov NASA Jet Propulsion Laboratory, Pasadena, California, United States |
Greg Lyzenga lyzenga@g.hmc.edu Jet Propulsion Laboratory, Pasadena, California, United States |
Scott J Brandenberg sjbrandenberg@g.ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Jonathan P Stewart jstewart@seas.ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Timu Gallien tgallien@seas.ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Marie A Winters mariawinters@ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Marie-Pierre Delisle mpdelisle@ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Joseph Lucey Jlucey@ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Yeulwoo Kim yarkim@ucla.edu University of California, Los Angeles, Los Angeles, California, United States |
Comparison of Surface Fault Displacement Interpretations From Field and Aerial Data for the M 6.4 and 7.1 2019 Ridgecrest Earthquake Ruptures
Category
Fault Displacement Hazard: New Data and Modeling Advances