@article{5e010e70dc554a5fb0904436d958bdc5,
title = "Extent of Low-Angle Normal Slip in the 2010 El Mayor-Cucapah (Mexico) Earthquake From Differential Lidar",
abstract = " We investigate the 4 April 2010 M w 7.2 El Mayor-Cucapah (Mexico) earthquake using three-dimensional surface deformation computed from preevent and postevent airborne lidar topography. By profiling the E-W, N-S, and vertical displacement fields at densely sampled (∼300 m) intervals along the multisegment rupture and computing fault offsets in each component, we map the slip vector along strike. Because the computed slip vectors must lie on the plane of the fault, whose local strike is known, we calculate how fault dip changes along the rupture. A principal goal is to resolve the discrepancy between field-based inferences of widespread low-angle (<30°) oblique-normal slip beneath the Sierra Cucapah, and geodetic and/or seismological models which support steeper (50°–75°) faulting in this area. Our results confirm that low-angle slip occurred along a short (∼2 km) stretch of the Paso Superior fault—where the three-dimensional rupture trace is also best fit by gently inclined planes—as well as along shorter (∼1 km) section of the Paso Inferior fault. We also characterize an ∼8-km fault crossing the Puerta accommodation zone as dipping ∼60°NE with slip of ∼2 m. These results indicate that within the northern Sierra Cucapah, deep-seated rupture of steep faults (resolved by coarse geodetic models) transfers at shallower depths onto low-angle structures. We also observe a statistically significant positive correlation between fault dip and slip, with slip pronounced along steep sections of fault and inhibited along low-angle sections. This highlights the important role of local structural fabric in controlling the surface expression of large earthquakes.",
keywords = "El Mayor-Cucapah, differential lidar, fault mechanics, high-resolution topography, low-angle normal faulting, slip distribution",
author = "Lajoie, {Lia J.} and Edwin Nissen and Johnson, {Kendra L.} and Ramon Arrowsmith and Glennie, {Craig L.} and Alejandro Hinojosa-Corona and Oskin, {Michael E.}",
note = "Funding Information: This research was funded primarily through a Pakiser fellowship from Colorado School of Mines to L. J. L. and a United States Geological Survey (USGS) grant G12AC20042 to E. N., who also acknowledges ongoing support from the Natural Sciences and Engineering Research Council of Canada (NSERC) through Discovery Grant 2017-04029, the Canada Foundation for Innovation (CFI), the British Columbia Knowledge Development Fund (BCKDF), and the Canada Research Chair program. In addition, initial work on this earthquake was supported by the National Science Foundation (NSF) through award EAR1148319, and earlier work on lidar differencing by NSF through EAR1461574 and by the Southern California Earthquake Center (SCEC) through award 14101. The authors thank the Instituto Nacional de Estadistica y Geografia (INEGI) for making the preevent lidar survey available, the NSF-supported National Center for Airborne Laser Mapping (NCALM, award EAR1339015) for the postearthquake survey, and the NSF-supported Open Topography facility (awards EAR1557484, EAR1557319, and EAR1557330) for publicly hosting both data sets (OpenTopography, 2010, 2013). All maps in this paper were plotted using the NSF-supported Generic Mapping Tools software (Wessel et al., 2013). We are grateful to Brandon Dugan, Yvette Kuiper, and Paul Sava for discussing this work and Tom Rockwell and Rob Zinke for thoughtful reviews. Funding Information: This research was funded primarily through a Pakiser fellowship from Colorado School of Mines to L. J. L. and a United States Geological Survey (USGS) grant G12AC20042 to E. N., who also acknowledges ongoing support from the Natural Sciences and Engineering Research Council of Canada (NSERC) through Discovery Grant 2017-04029, the Canada Foundation for Innovation (CFI), the British Columbia Knowledge Development Fund (BCKDF), and the Canada Research Chair program. In addition, initial work on this earthquake was supported by the National Science Foundation (NSF) through award EAR1148319, and earlier work on lidar differencing by NSF through EAR1461574 and by the Southern California Earthquake Center (SCEC) through award 14101. The authors thank the Instituto Nacional de Estadistica y Geografia (INEGI) for making the preevent lidar survey available, the NSF-supported National Center for Airborne Laser Mapping (NCALM, award EAR1339015) for the postearthquake survey, and the NSF-supported Open Topography facility (awards EAR1557484, EAR1557319, and EAR1557330) for publicly hosting both data sets (OpenTopography,). All maps in this paper were plotted using the NSF-supported Generic Mapping Tools software (Wessel et al.,). We are grateful to Brandon Dugan, Yvette Kuiper, and Paul Sava for discussing this work and Tom Rockwell and Rob Zinke for thoughtful reviews. Publisher Copyright: {\textcopyright}2018. American Geophysical Union. All Rights Reserved.",
year = "2019",
month = jan,
doi = "10.1029/2018JB016828",
language = "English (US)",
volume = "124",
pages = "943--956",
journal = "Journal of Geophysical Research: Atmospheres",
issn = "2169-897X",
publisher = "Wiley-Blackwell",
number = "1",
}