A Revised Earthquake Catalogue for South Iceland

Panzera, Francesco; Zechar, J. D.; Vogfjörd, K. S.; Eberhard, David A. J.

doi:10.1007/s00024-015-1115-9

Cited by 39 publications

(20 citation statements)

References 33 publications

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“…Parameters of the GRE events are obtained from the earthquake catalogues of the National Observatory of Athens (GRE). Strong-motion recordings for ICE are accessed through the Internet Site for European Strong-motion Data (ISESD, see Data and Resources), and corresponding event parameters are retrieved from the catalogue of Panzera et al (2016).…”

Section: Considered Eventsmentioning

confidence: 99%

Accuracy and Uncertainty Analysis of Selected Methodological Approaches to Earthquake Early Warning in Europe

Cremen¹,

Zuccolo

Galasso

2021

Seismological Research Letters

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Earthquake early warning (EEW) is becoming an increasingly attractive real-time strategy for mitigating the threats posed by potentially devastating incoming seismic events. As efforts accelerate to develop practical EEW-based solutions for earthquake-prone countries in Europe, it is important to understand and quantify the level of performance that can be achieved by the underlying seismological algorithms. We conduct a conceptual study on EEW performance in Europe, which explicitly focuses on the accuracy and associated uncertainties of selected methodological approaches. Twenty-three events from four diverse European testbeds are used to compare the quality of EEW predictions produced by the Virtual Seismologist and PRobabilistic and Evolutionary early warning SysTem algorithms. We first examine the location and magnitude estimates of the algorithms, accounting for both bias and uncertainty in the resulting predictions. We then investigate the ground-shaking prediction capabilities of the source-parameter estimates, using an error metric that can explicitly capture the propagation of uncertainties in these estimates. Our work highlights the importance of accounting for EEW parameter uncertainties, which are often neglected in studies of EEW performance. Our findings can be used to inform current and future implementations of EEW systems in Europe. In addition, the evaluation metrics presented in this work can be used to determine EEW accuracy in any worldwide setting.

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Section: Considered Eventsmentioning

confidence: 99%

Accuracy and Uncertainty Analysis of Selected Methodological Approaches to Earthquake Early Warning in Europe

Cremen¹,

Zuccolo

Galasso

2021

Seismological Research Letters

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“…An alternative approach has been recently proposed by Bayat et al (2022) in which a suite of 3D finite-fault seismic source models for the main seismogenic zones in Southwest Iceland, the transform fault systems of the SISZ and the RPOR, is developed for the purpose of enabling a physics-based PSHA that is free from the shortcomings of an incomplete catalogue. Approaching the problem from a physical standpoint, the models are only constrained by the steady-state velocity of the tectonic extension across the transform zone and the salient geometrical features of the "bookshelf" transcurrent fault system, fully consistent with the fault tectonics and seismicity distribution of the region (Einarsson et al 1981;Einarsson 1991;Stefansson et al 1993;Hreinsdóttir et al 2001a;Einarsson 2008;Stefansson et al 2008;Einarsson 2014;Panzera et al 2016;Steigerwald et al 2018;Einarsson et al 2018). The fault models are thus fully specified in terms of fault locations, dimensions, strike and dip along with the resulting estimates of annual fault slip and moment rates on each fault of the system.…”

Section: Introductionmentioning

confidence: 99%

A backbone seismic ground motion model for strike-slip earthquakes in Southwest Iceland and its implications for near- and far-field PSHA

Kowsari

Ghasemi

Bayat

et al. 2022

Bull Earthquake Eng

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The earthquake hazard and seismic risk in Iceland are the highest in the Southwest due to transform faulting in the South Iceland Seismic Zone (SISZ) and Reykjanes Peninsula Oblique Rift (RPOR). The reliable probabilistic seismic hazard assessment (PSHA) is therefore critical in this region which in turn requires two of the key elements for a reliable PSHA. Namely, the most appropriate and physically consistent ground motion models (GMMs) and the specification of seismic sources. In this study, we address this by employing a suite of new hybrid Bayesian empirical GMMs and a new physics-based finite-fault system model for the SISZ-RPOR system. By ranking the GMMs using the deviance information criterion against the Icelandic strong-motion dataset we propose backbone GMMs along with their Δ-factors that comprehensively capture the characteristics of Icelandic data. We then simulate suites of synthetic finite-fault earthquake catalogues that are consistent with the physics-based fault system. We then carry out a Monte-Carlo PSHA using the backbone approach for two representative near-fault and far-field sites in Southwest Iceland, but this approach provides a more realistic and robust treatment of the extent and effects of GMM's epistemic uncertainty on the PSHA. We show that the backbone PSHA is consistent with point estimates using the classical PSHA approach, but importantly they reveal the "body" i.e., the range, of realistically expected hazard values that dwarf any differences between the results from the two approaches. Thus, the backbone models of this study along with their Δ-factors are the ideal candidates for use in future PSHA for Iceland.

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“…Using EMR method, Pailoplee (2014) calculated the M C, a-value and b-value as 3.8, 4.01 0.54( §0.02) for Thailand region during the period of 1998-2009. Moreover, Panzera et al (2015) followed the maximum curvature method (Wiemer and Wyss 2000) to estimate the M C and b-value while maximum likelihood method is adopted by Utsu (1965) to estimate the b-value. Through their studies, we can conclude that no significant differences have been observed in the adopted methodologies for estimating the M C , avalue and b-value.…”

Section: Resultsmentioning

confidence: 99%

Homogeneous earthquake catalogue for Northeast region of India using robust statistical approaches

Pandey

Chingtham

Roy

2017

Geomatics, Natural Hazards and Risk

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Regular seismic hazard assessment requires essentially an updated and refined homogenous earthquake catalogue for the study region. Here, we have compiled the earthquake data for Northeast region of India in a chronological order from International Seismological Centre and Global Centroid Moment Tensor databases during the period 1 January 1900 to 31 April 2016. For this purpose, the regression techniques such as least square (SR), inverse least square (ISR), orthogonal (OR) and generalized orthogonal (GOR) which is the best one, out of that are employed for converting different types of magnitude scales, such as surface-wave magnitude (M S ), body-wave magnitude (m b ) and local magnitude (M L ) into a single homogenized moment magnitude, M W . The homogenized catalogue is then treated with 'runs test' to estimate p-value of 0.8421 which suggest no spurious reporting on the catalogue. The prepared catalogue has also been declustered using standard procedure. Furthermore, the magnitude of completeness for space and time with 90% confidence level has been achieved. The seismicity parameters, namely magnitude of completeness M C , a-value and b-value are found to be 4.6, 7.50 and 0.95( §0.023), respectively. The observed low b-value implies that the study region is tectonically very active with the presence of asperity.

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A Revised Earthquake Catalogue for South Iceland

Cited by 39 publications

References 33 publications

Accuracy and Uncertainty Analysis of Selected Methodological Approaches to Earthquake Early Warning in Europe

Accuracy and Uncertainty Analysis of Selected Methodological Approaches to Earthquake Early Warning in Europe

A backbone seismic ground motion model for strike-slip earthquakes in Southwest Iceland and its implications for near- and far-field PSHA

Homogeneous earthquake catalogue for Northeast region of India using robust statistical approaches

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