Tectonic tremor characterized by principal-component analysis in the vicinity of central Chile and Argentina

Nishitsuji, Yohei; Marin, Luis Franco; Gómez, M.; Rowe, C. A.; Draganov, Deyan

doi:10.1016/j.jsames.2019.04.022

Cited by 2 publications

(2 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationships between these features are complex, and it is difficult to gauge how small changes in one area impact the system as a whole. When faced with this problem, other disciplines, such as geochemistry and seismology, use PCA to interpret multivariate data sets (e.g., Garçon et al., 2017; Nishitsuji et al., 2019).…”

Section: Quantitative Analysis Of Model Resultsmentioning

confidence: 99%

Evaluating the Rheological Controls on Topography Development During Craton Stabilization: Objective Approaches to Comparing Geodynamic Models

Kublik,

Currie,

Pearson

2024

JGR Solid Earth

View full text Add to dashboard Cite

Surface topography is an important yet largely neglected aspect of the early evolution of cratons. The lateral accretion of cratonic nuclei inevitably forms orogenic belts that subsequently provide a sediment source for large, resource‐rich intracratonic basins, but to date, geodynamic models have focused exclusively on lithospheric root processes. Here we use two‐dimensional thermal‐mechanical models to study the topography and lithospheric deformation during 50 Myr of compression of a cratonic nucleus, to simulate the lateral accretion phase of craton growth in the Neoarchean. Although the cratonic nucleus thickens slightly during the compression phase, most of the deformation occurs in the regions adjacent to the nucleus that have weaker lithosphere. Here, crustal thickness triples developing high topography in excess of 10 km without active erosion. Models with different initial rheological parameters will have different final topography and lithosphere geometry, but in general it is difficult to shorten and deform the depleted cratonic nucleus, unless there are significantly weak heterogeneities in the mantle lithosphere. We apply two quantitative analysis techniques to objectively evaluate a multitude of model outputs. Cross‐correlation clustering (CCC) measures the degree of similarity between topography profiles and categorizes models based on the general topographic character. Six different topography families are possible in the context of our models and crustal strength is the most important parameter affecting the shape. From principal component analysis (PCA) we identify four dominant lithosphere geometries. When used together, these two methods provide distinct yet complementary information about the surface and subsurface deformation features in our models.

show abstract

Section: Quantitative Analysis Of Model Resultsmentioning

confidence: 99%

Evaluating the Rheological Controls on Topography Development During Craton Stabilization: Objective Approaches to Comparing Geodynamic Models

Kublik,

Currie,

Pearson

2024

JGR Solid Earth

View full text Add to dashboard Cite

show abstract

“…In this study, we exploit surface waves recorded by the Malargüe array (MalAR-Rgue) in Argentina [27]. So far, the data from MalARRgüe have been used with the globalphase H/V spectral ratio method to identify the fundamental resonance frequencies of the receiver-side structure in the Malargüe region and to detect tectonic tremors [28,29], as well as for several interferometric applications with local, regional, and global earthquake responses [30][31][32][33]. It has also been used with SI for retrieval of surface waves from ambient noise using CC [34] and MDD [6].…”

Section: Introductionmentioning

confidence: 99%

Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina

et al. 2021

Self Cite

View full text Add to dashboard Cite

Seismic interferometry (SI) refers to the principle of generating new seismic responses using crosscorrelations of existing wavefield recordings. In this study, we report on the use of a specific interferometric approach, called seismic interferometry by multidimensional deconvolution (SI by MDD), for the purpose of retrieving surface-wave responses. In theory, SI by MDD suffers less from irregularities in the distribution of (passive) sources than conventional SI. Here, we confirm this advantage for the application to surface waves originating from regional earthquakes close to Central Chile. For that purpose, we use the Malargüe seismic array in Argentina. This T-shaped array consists of two perpendicular lines of stations, which makes it rather suitable for the application of SI by MDD. Comparing the responses retrieved through SI by MDD to the responses retrieved using conventional SI, we find that the application of SI by MDD results in surface-wave responses that are both more accurate and more stable than surface-wave responses that are retrieved using conventional SI. That is, our results demonstrate that SI by MDD suffers less from non-uniformly distributed earthquakes and differences in the power spectra of earthquake responses. In addition, we show that SI by MDD mitigates the effect of site amplification on the retrieved surface waves.

show abstract

Tectonic tremor characterized by principal-component analysis in the vicinity of central Chile and Argentina

Cited by 2 publications

References 65 publications

Evaluating the Rheological Controls on Topography Development During Craton Stabilization: Objective Approaches to Comparing Geodynamic Models

Evaluating the Rheological Controls on Topography Development During Craton Stabilization: Objective Approaches to Comparing Geodynamic Models

Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina

Contact Info

Product

Resources

About