Title
Extension and Dynamics of the Andes Inferred From the 2016 Parina (Huarichancara) Earthquake
Date Issued
01 September 2018
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
Blackwell Publishing Ltd
Abstract
The Mw 6.1 2016 Parina earthquake led to extension of the south Peruvian Andes along a normal fault with evidence of Holocene slip. We use interferometric synthetic aperture radar, seismology, and field mapping to determine a source model for this event and show that extension at Parina is oriented NE-SW, which is parallel to the shortening direction in the adjacent sub-Andean lowlands. In addition, we use earthquake source models and GPS data to demonstrate that shortening within the sub-Andes is parallel to topographic gradients. Both observations imply that forces resulting from spatial variations in gravitational potential energy are important in controlling the geometry of the deformation in the Andes. We calculate the horizontal forces per unit length acting between the Andes and South America due to these potential energy contrasts to be 4–8 ×1012 N/m along strike of the mountain range. Normal faulting at Parina implies that the Andes in south Peru have reached the maximum elevation that can be supported by the forces transmitted across the adjacent foreland, which requires that the foreland faults have an effective coefficient of friction ≤ 0.2. Additionally, the onset of extension in parts of the central Andes following orogen-wide compression in the late Miocene suggests that there has been a change in the force balance within the mountains. We propose that shortening on weak detachment faults within the Andean foreland since ∼5–9 Ma reduced the shear tractions acting along the base of the upper crust in the eastern Andes, leading to extension in the highest parts of the range.
Start page
8198
End page
8228
Volume
123
Issue
9
Language
English
OCDE Knowledge area
Geología
Subjects
Scopus EID
2-s2.0-85053691202
Source
Journal of Geophysical Research: Solid Earth
ISSN of the container
21699313
Sponsor(s)
This work forms part of the NERC- and ESRC-funded project Earthquakes without Frontiers and was partly supported by the NERC large grant Looking into Continents from Space. C. B. and E. A. wish to acknowledge INGEMMET and Cusco-PATA (Nú006-2016-FONDECYT) for support of the fieldwork. S. W. was partly supported by the British Geological Survey. S. W. thanks Marcelo Assumpção for providing the crustal thickness measurements, in addition to Lorcan Kennan, Christoph Grützner, and James Jackson for discussions. The authors thank Peter Molnar, Robert Smalley, and particularly Simon Lamb for constructive reviews. Figures were drafted using the free software Generic Mapping Tools (Wessel et al.,). All data used in this study are open access and freely available. InSAR data were collected from the ESA Copernicus Hub (https://scihub.copernicus.eu/), seismic data were downloaded from the IRIS data management center (http://ds.iris.edu/wilber3/find_event), and Landsat data were collected from EarthExplorer (https://earthexplorer.usgs.gov/).
This work forms part of the NERC-and ESRC-funded project Earthquakes without Frontiers and was partly supported by the NERC large grant Looking into Continents from Space. C. B. and E. A. wish to acknowledge INGEMMET and Cusco-PATA (Nú006-2016-FONDECYT) for support of the fieldwork. S. W. was partly supported by the British Geological Survey. S. W. thanks Marcelo Assumpção for providing the crustal thickness measurements, in addition to Lorcan Kennan, Christoph Grützner, and James Jackson for discussions. The authors thank Peter Molnar, Robert Smalley, and particularly Simon Lamb for constructive reviews. Figures were drafted using the free software Generic Mapping Tools (Wessel et al., 2013). All data used in this study are open access and freely available. InSAR data were collected from the ESA Copernicus Hub (https://scihub.copernicus.eu/), seismic data were downloaded from the IRIS data management center (http://ds.iris.edu/wilber3/ find_event), and Landsat data were collected from EarthExplorer (https://earthexplorer.usgs.gov/).
Sources of information:
Directorio de Producción Científica
Scopus