The Los Alamos Seismic Network (lasn): Current Network Status and Updated North-Central New Mexico Seismicity

Roberts, Peter M.; Jacobs, Elaine P.; Cate, James A. Ten

doi:10.56577/sm-2016.430

Cited by 1 publication

(2 citation statements)

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“…The Mw 3.4 Gallina, NM earthquake occurred on 30 July 2020 near the southern end of the Gallina fault and the northern end of the Nacimiento fault at 36°13.09′N, 106°50.87′W at a depth of 11.4 km (location determined from Los Alamos Seismic Network (LASN) data, as shown in Figure 1 with faults from the United States Geological Survey (USGS) Geologic Map Database) [21,22]. The Gallina and Nacimiento faults are largely Laramide structures (80-50 Ma) [23,24], although there is evidence for some post-Laramide, Miocene slips [25].…”

Section: Site Backgroundmentioning

confidence: 99%

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Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning

Reinisch,

Abolt,

Swanson

et al. 2024

Remote Sensing

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Detecting surface deformation associated with low-magnitude (Mw ≤ 5) seismicity using interferometric synthetic aperture radar (InSAR) is challenging due to the subtlety of the signal and the often challenging imaging environments. However, low-magnitude earthquakes are potential precursors to larger seismic events, and thus characterizing the crustal displacement associated with them is crucial for regional seismic hazard assessment. We combine InSAR time-series techniques with a Deep Learning (DL) autoencoder denoiser to detect the magnitude and extent of crustal deformation from the Mw = 3.4 Gallina, New Mexico earthquake that occurred on 30 July 2020. Although InSAR alone cannot detect event-related deformation from such a low-magnitude seismic event, application of the DL method reveals maximum displacements as small as (±2.5 mm) in the vicinity of both the fault and earthquake epicenter without prior knowledge of the fault system. This finding improves small-scale displacement discernment with InSAR by an order of magnitude relative to previous studies. We additionally estimate best-fitting fault parameters associated with the observed deformation. The application of the DL technique unlocks the potential for low-magnitude earthquake studies, providing new insights into local fault geometries and potential risks from higher-magnitude earthquakes. This technique also permits low-magnitude event monitoring in areas where seismic networks are sparse, allowing for the possibility of global fault deformation monitoring.

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Section: Site Backgroundmentioning

confidence: 99%

“…Detection of ground deformation from the July 2020 event, if it aligns with the known faults, would bolster both the evidence for the Gallina and/or Nacimiento faults being active and provide a means to constrain fault geometry. [21]. White lines are faults from the USGS Geologic Map Database [22].…”

Section: Site Backgroundmentioning

confidence: 99%