2014
DOI: 10.5194/nhess-14-1309-2014
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Seismic hazard of the Iberian Peninsula: evaluation with kernel functions

Abstract: Abstract. The seismic hazard of the Iberian Peninsula is analysed using a nonparametric methodology based on statistical kernel functions; the activity rate is derived from the catalogue data, both its spatial dependence (without a seismogenic zonation) and its magnitude dependence (without using Gutenberg-Richter's relationship). The catalogue is that of the Instituto Geográfico Nacional, supplemented with other catalogues around the periphery; the quantification of events has been homogenised and spatially o… Show more

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Cited by 9 publications
(6 citation statements)
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References 40 publications
(51 reference statements)
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“…While the DSHA evaluates the worst-case scenario and presents the values of ground motion related to the worst-case scenario, the PSHA allows determining the exceedance rates of the specified ground motion at a desired time. Therefore, a direct comparison between DSHA and PSHA results does not make sense, but the regional trend over the large zones of maximum values (Gorringe, Planicia Horseshoe, Coral Patch areas, in the Atlantic sector, and Arzew Faults Algerian zone, in the Mediterranean), minimum and intermediate PGA values is similar to that obtained in this work with DSHA despite the maps obtained with PSHA methods (UPM- IGN, 2017 andPoggi et al, 2020), with a different zonation (Woessner et al, 2015), or with a nonzoned method (Crespo et al, 2014). DSHA, unlike other SHA methods, is not affected by the uncertainty of the seismic parameters, as handled by the method, which can be very relevant in areas where a complete comprehensive fault-specific catalogue of faults and their activity is not available for a robust estimation.…”
Section: Discussionsupporting
confidence: 73%
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“…While the DSHA evaluates the worst-case scenario and presents the values of ground motion related to the worst-case scenario, the PSHA allows determining the exceedance rates of the specified ground motion at a desired time. Therefore, a direct comparison between DSHA and PSHA results does not make sense, but the regional trend over the large zones of maximum values (Gorringe, Planicia Horseshoe, Coral Patch areas, in the Atlantic sector, and Arzew Faults Algerian zone, in the Mediterranean), minimum and intermediate PGA values is similar to that obtained in this work with DSHA despite the maps obtained with PSHA methods (UPM- IGN, 2017 andPoggi et al, 2020), with a different zonation (Woessner et al, 2015), or with a nonzoned method (Crespo et al, 2014). DSHA, unlike other SHA methods, is not affected by the uncertainty of the seismic parameters, as handled by the method, which can be very relevant in areas where a complete comprehensive fault-specific catalogue of faults and their activity is not available for a robust estimation.…”
Section: Discussionsupporting
confidence: 73%
“…uniformly distributed throughout the study area and for which six previous studies have published their calculated values (Table 1) of the PGA hazard (Crespo et al, 2014;Rivas Medina, 2014;Salgado Gálvez et al, 2015;Woessner et al, 2015;IGN-UPM, 2017;Poggi et al, 2020).…”
Section: Sensitivity and Comparative Analysesmentioning
confidence: 99%
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“…In the case of the non-Poissonian model, we used the zoning-free method Kergrid suggested originally by Woo (1996), where seismicity is described in a grid. Until now it has not been widely used (see also Molina et al, 2001), but recently has gained some interest (Ornthammarath et al, 2008;Crespo et al, 2014;Ashish et al, 2016). The fundamental principle is well known: namely a more direct use of the earthquake catalog rather than using parameterized and simplified recurrence model parameters.…”
Section: Source Modelsmentioning
confidence: 99%
“…An application of the approach presented is carried out in SE Spain, the area with the highest seismic hazard in Spain. Most of the previous work that partly or wholly addresses this area includes zones only (García-Mayordomo et al, 2007;Benito et al, 2010;Mezcua et al, 2011;IGN-UPM working group, 2013;Salgado-Gálvez et al, 2015) or is based on zoneless methods (Peláez and López-Casado, 2002;Crespo et al, 2014). A first attempt to combine faults and zones was carried out by García-Mayordomo (2005), who developed a zone model for the area taking into account the use of the characteristic earthquake model for faults.…”
Section: Introductionmentioning
confidence: 99%