The earthquake deformation cycle

Wright, Tim

doi:10.1093/astrogeo/atw148

Cited by 22 publications

(20 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Theoretically speaking, with a long time series, it is possible to robustly estimate the motion of the reference point by comparing the interferometric deformation rates with the rates estimated from group delays, using co-registration shifts or the PS positions [36,37]. Moreover, if T obs is large enough, the residual atmospheric effects are also sufficiently small to fulfill even the strict requirements [8] set by applications aimed at measuring tectonic movements [5]. Notwithstanding, if T obs is not large enough to fulfill the accuracy requirements at large distances, then merging with GNSS is necessary.…”

Section: Discussionmentioning

confidence: 99%

“…Applications related to the measurement of tectonic movements are the most challenging for InSAR. The requirement of an accuracy of 1 mm/y at more that 100 km (<10 nstrain) pushes the technique to its limits [5]. Notwithstanding, it has been demonstrated that, since actual SAR missions are characterized by very stable oscillators [31] and very good orbit knowledge [32,33], such numbers can be considered achievable.…”

Section: North Anatolian Fault Datasetmentioning

confidence: 99%

“…However, there is also scientific interest in using InSAR to measure the strain accumulation of tectonic faults. This type of study requires very accurate measurements (1 mm/year at distances larger than 100 km) [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

2020

View full text Add to dashboard Cite

This paper deals with the integration of deformation rates derived from Synthetic Aperture Radar Interferometry (InSAR) and Global Navigation Satellite System (GNSS) data. The proposed approach relies on knowledge of the variance/covariance of both InSAR and GNSS measurements so that they may be combined accounting for the spectral properties of their errors, hence preserving all spatial frequencies of the deformation detected by the two techniques. The variance/covariance description of the output product is also provided. A performance analysis is carried out on realistic simulated scenarios in order to show the boundaries of the technique. The proposed approach is finally applied to real data. Five Sentinel-1A/B stacks acquired over two different areas of interest are processed and discussed. The first example is a merged deformation map of the northern part of the Netherlands for both ascending and descending geometries. The second example shows the deformation at the junction between the North and East Anatolian Fault using three consecutive descending stacks.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: North Anatolian Fault Datasetmentioning

confidence: 99%

See 1 more Smart Citation

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

2020

View full text Add to dashboard Cite

show abstract

“…Extrapolating a geodetic record of 2 or 3 decades to draw conclusions about an earthquake cycle likely to be several orders of magnitude greater in duration is a long‐standing challenge in earthquake hazard evaluations (Meade et al, ). Similarly, GPS measurements used in modeling long‐term lithosphere behavior are typically restricted to interseismic elastic strain, occurring at an unknown time interval after the last co‐seismic permanent strain produced by a ground rupturing earthquake (Wright, ).…”

Section: Introductionmentioning

confidence: 99%

Geologic Slip‐Rate Determinations on the Talas‐Fergana Fault: Mismatch With Geodetic Slip Rate

Rust

Корженков

Tibaldi

2018

Geophysical Research Letters

View full text Add to dashboard Cite

Detailed new paleoseismic field investigations at two sites on the Talas‐Fergana fault, a poorly known strike‐slip structure that transects the Tien Shan mountain range, document late Holocene slip rates of 11–16 mm a−1. This prominent structure is distinctive in striking obliquely NW‐SE across the Tien Shan, which is otherwise dominated by contractional structures striking generally E‐W. Moreover, a satellite‐based Global Positioning System network spanning the Tien Shan orogen records active N‐S contraction rates of ~20 mm a−1, but limits slip on the Talas‐Fergana fault to <2 mm a−1. This profound mismatch between long‐term geologic and short‐term geodetic slip rates, which may suggest temporal variability in slip, highlights the importance of field‐based investigations as a complement to remotely sensed data, particularly in evaluating models of lithosphere behavior and earthquake probabilities on presently locked faults such as the Talas‐Fergana.

show abstract

“…In fact, under the hypothesis that earthquakes occur where strain energy has accumulated, space geodesy techniques can give such a contribution if they are able to reliably estimate the accumulation of strain, and if proper geophysical models are established that relate short-term strain estimation to long-term fault activity (Wright, 2016), complementing the spaceand time-dependent information provided by seismic flow monitoring, e.g. the pilot project in Italy, Panza et al (2011) and allowing the identification of critical seismogenic areas.…”

Section: The Case Of Amatrice Earthquakementioning

confidence: 99%

How geodesy can contribute to the understanding and prediction of earthquakes

Panza

Peresan²,

Sansò

et al. 2017

Rend. Fis. Acc. Lincei

View full text Add to dashboard Cite

Earthquakes cannot be predicted with precision, but algorithms exist for intermediate-term middle range prediction of main shocks above a pre-assigned threshold, based on seismicity patterns. Few years ago, a first attempt was made in the framework of project SISMA, funded by Italian Space Agency, to jointly use seismological tools, like CN algorithm and scenario earthquakes, and geodetic methods and techniques, like GPS and SAR monitoring, in order to effectively constrain priority areas where to concentrate prevention and seismic risk mitigation. We present a further development of integration of seismological and geodetic information, clearly showing the contribution of geodesy to the understanding and prediction of earthquakes. As a relevant application, the seismic crisis that started in Central Italy in August 2016 with the Amatrice earthquake and still going on, is considered in a retrospective analysis of both GPS and SAR data. Differently from the much more common approach, here GPS data are not used to estimate the standard 2D velocity and strain field in the area, but to reconstruct the velocity and strain pattern along transects, which are properly oriented according to the a priori information about the known tectonic setting. SAR data related to the Amatrice earthquake coseismic displacements are here used as independent check of the GPS results. Overall, the analysis of the available geodetic data indicates that it is possible to highlight the velocity variation and the related strain accumulation in the area of Amatrice event, within the area alarmed by CN since November 1 st , 2012. The considered counter examples, across CN alarmed and not-alarmed areas, do not show any spatial acceleration localized trend, comparable to the one well defined along the Amatrice transect. Therefore, we show that the combined analysis of the results of intermediate term middle range earthquake prediction algorithms, like CN, with those from the processing of adequately dense and permanent GNSS network data, possibly complemented by a continuous InSAR tracking, may allow the routine highlight in advance of the strain accumulation. Thus it is possible to significantly reduce the size of the CN alarmed areas.

show abstract

The earthquake deformation cycle

Cited by 22 publications

References 47 publications

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

Geologic Slip‐Rate Determinations on the Talas‐Fergana Fault: Mismatch With Geodetic Slip Rate

How geodesy can contribute to the understanding and prediction of earthquakes

Contact Info

Product

Resources

About