scholarly journals Peruvian Subduction Surface Model for Seismic Hazard Assessments

2019 ◽  
Vol 5 (5) ◽  
pp. 984-995
Author(s):  
Luis Fernando Vergaray Astupina ◽  
Zenón Aguilar B. ◽  
Renzo S. Cornejo
Keyword(s):  
Seismic Hazard ◽  
Polynomial Interpolation ◽  
Interpolation Method ◽  
Seismic Source ◽  
Surface Model ◽  
Nazca Plate ◽  
Independent Events ◽  
Seismic Source Models ◽  
Source Models ◽  
Hazard Assessments

Throughout the years seismic hazard calculations in Peru have been developed using area sources models, having to date a great variety of models, however, since they are discretized planar models, they cannot adequately represent the continuity and subduction characteristics of the Nazca Plate. The main objective of this work is the developing of a surface subduction model (SSM), useful for seismic hazard assessments as well as the revision and control of previous models used in this sort of assessments. In this study a spatial interpolation was performed employing the Local Polynomial Interpolation method to capture short-range variation in addition to long-range trends. The data base is based on the compilation of seismic catalogs from Peruvian and international institutions such as the IGP, the USGS, the ISC and others, subsequently, in order to have independent events the elimination of duplicate events, aftershocks and foreshocks was carried out. Then, by interpolation of the focal depths of the independent events, a subduction surface model (SSM) was generated as well as a Standard Error Surface which supports a good correlation of the model. Furthermore, 14 transversal sections of the SSM was employed to compare with the hypocenter’s distributions, evidencing a good correlation with the spatial distribution of the events, in addition to adequately capturing the subduction characteristics of the Nazca Plate. Finally, a comparison was made between 2 Peruvian area models for seismic hazard and SSM developed in the present research, evidencing that seismic source models of the area type have deficiencies mainly in the depths they consider, thus is recommended the use of the present model for future seismic hazard assessments.

scholarly journals An updated and unified earthquake catalog from 1787 to 2018 for seismic hazard assessment studies in Mexico

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Rashad Sawires ◽  
Miguel A. Santoyo ◽  
José A. Peláez ◽  
Raúl Daniel Corona Fernández
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Large Earthquake ◽  
Seismic Source ◽  
Earthquake Catalog ◽  
Magnitude Conversion ◽  
Seismic Source Models ◽  
Source Models ◽  
Definition Of

Abstract Here we present a new updated and unified Poissonian earthquake catalog for Mexico. The details about the catalog compilation, the removal of duplicate events, unifying the magnitude scales, removal of dependent events through the declustering process and its completeness analysis are presented. Earthquake and focal mechanism data have been compiled from various local, regional and international sources. Large earthquake events (MW ≥ 6.5) have been carefully revised for their epicentral locations and magnitudes from trusted publications. Different magnitude-conversion relationships, compatible with available local and regional ones, has been established to obtain unified moment magnitude estimates for the whole catalog. Completeness periods for the declustered catalog were estimated for the definition of appropriate seismic source models for the whole territory. The final unified Poissonian earthquake catalog spans from 1787 to 2018, covering a spatial extent of 13° to 33°N and 91° to 117°W. This catalog is compatible with other published catalogs providing basis for new analysis related to seismicity, seismotectonics and seismic hazard assessment in Mexico.

scholarly journals Seismic Hazard Assessment for a Wind Farm Offshore England

Geotechnics ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 14-31
Author(s):  
Brian Carlton ◽  
Andy Barwise ◽  
Amir M. Kaynia
Keyword(s):  
Seismic Hazard ◽  
Ground Motion ◽  
North Sea ◽  
Wind Farm ◽  
Seismic Source ◽  
Offshore Wind ◽  
Source Characterization ◽  
North East ◽  
Seismic Source Models ◽  
Source Models

Offshore wind has become a major contributor to reducing global carbon emissions. This paper presents a probabilistic seismic hazard analysis for the Sofia Offshore Wind Farm, which is located about 200 km north-east of England in the southern North Sea and will be one of the largest offshore wind farms in the world once completed. The seismic source characterization is composed of two areal seismic source models and four seismic source models derived using smoothed gridded seismicity with earthquake catalogue data processed by different techniques. The ground motion characterization contains eight ground motion models selected based on comparisons with regional data. The main findings are (1) the variation in seismic hazard across the site is negligible; (2) the main source controlling the hazard is the source that includes the 1931 Dogger Bank earthquake; (3) earthquake scenarios controlling the hazard are Mw = 5.0–6.3 and R = 110–210 km; and (4) the peak ground accelerations on rock are lower than for previous regional studies. These results could help guide future seismic hazard assessments in the North Sea.

scholarly journals Seismic hazard assessment for the Caucasus test area

1999 ◽  
Vol 42 (6) ◽  
Author(s):  
S. Balassanian ◽  
T. Ashirov ◽  
T. Chelidze ◽  
A. Gassanov ◽  
N. Kondorskaya ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Seismic Source ◽  
Test Area ◽  
The Caucasus ◽  
Seismicity Rate ◽  
Seismic Catalogue ◽  
Seismic Source Models ◽  
Source Models

The GSHAP CAUCAS test area was established under the INTAS Ct.94-1644 (Test Area for sismic Hazard Assessment in the Caucasus) and NATO ARW Ct.95-1521 (Historical and Prehistorical Earthquakes in the Caucasus), with the initial support of IASPEI, UNESCO and ILP. The high tectonic interest and seismicity rate of the whole area, the availability of abundant multi-disciplinary data and the long established tradition in hazard assessment provide a unique opportunity to test different methodologies in a common test area and attempt to establish some consensus in the scientific community. Starting from the same input data (historical and instrumental seismic catalogue, lineament and homogeneous seismic source models) six independent approaches to seismic hazard assessment have been used, ranging from pure historical deterministic to seismotectonic probabilistic and areal assessment methodologies. The results are here compared.

scholarly journals Seismic Source Characterization for the 2014 Update of the U.S. National Seismic Hazard Model

2015 ◽  
Vol 31 (1_suppl) ◽  
pp. S31-S57 ◽  
Author(s):  
Morgan P. Moschetti ◽  
Peter M. Powers ◽  
Mark D. Petersen ◽  
Oliver S. Boyd ◽  
Rui Chen ◽  
...  
Keyword(s):  
United States ◽  
Seismic Hazard ◽  
Epistemic Uncertainty ◽  
Source Parameters ◽  
Seismic Source ◽  
Hazard Model ◽  
Source Characterization ◽  
Seismic Source Models ◽  
Source Models ◽  
Model Components

We present the updated seismic source characterization (SSC) for the 2014 update of the National Seismic Hazard Model (NSHM) for the conterminous United States. Construction of the seismic source models employs the methodology that was developed for the 1996 NSHM but includes new and updated data, data types, source models, and source parameters that reflect the current state of knowledge of earthquake occurrence and state of practice for seismic hazard analyses. We review the SSC parameterization and describe the methods used to estimate earthquake rates, magnitudes, locations, and geometries for all seismic source models, with an emphasis on new source model components. We highlight the effects that two new model components—incorporation of slip rates from combined geodetic-geologic inversions and the incorporation of adaptively smoothed seismicity models—have on probabilistic ground motions, because these sources span multiple regions of the conterminous United States and provide important additional epistemic uncertainty for the 2014 NSHM.

scholarly journals Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part A: Building a database of potentially active faults (BDFA) for metropolitan France

2017 ◽  
Author(s):  
Hervé Jomard ◽  
Edward Marc Cushing ◽  
Luigi Palumbo ◽  
Stéphane Baize ◽  
Claire David ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
General Structure ◽  
Active Faults ◽  
Seismic Source ◽  
Source Model ◽  
Upper Rhine Graben ◽  
Nuclear Facilities ◽  
Seismic Source Models ◽  
Source Models

Abstract. The French Radioprotection and Nuclear Safety Institute (IRSN), with the support of the Ministry of Environment, compiled a database (BDFA) in order to define and characterize known potentially active faults of metropolitan France. The general structure of BDFA is presented in this paper. BDFA contains to date a total of 136 faults and represent a first step toward the implementation of seismic source models that would be used for both deterministic and probabilistic hazard calculations. An example transposing BDFA into a fault source model for PSHA (Probabilistic Seismic Hazard Analysis) calculation is presented for the Upper Rhine Graben (Eastern France); and exploited in the parent paper (part B) in order to illustrate ongoing challenges for probabilistic fault-based seismic hazard calculations.

scholarly journals Seismic hazard assessment of Iran

1999 ◽  
Vol 42 (6) ◽  
Author(s):  
B. Tavakoli ◽  
M. Ghafory-Ashtiany
Keyword(s):  
Seismic Hazard ◽  
Peak Ground Acceleration ◽  
Grid Point ◽  
Seismic Hazard Assessment ◽  
Earthquake Hazard ◽  
Seismic Source ◽  
Historical Earthquakes ◽  
Earthquake Insurance ◽  
Ground Acceleration ◽  
Seismic Source Models

The development of the new seismic hazard map of Iran is based on probabilistic seismic hazard computation using the historical earthquakes data, geology, tectonics, fault activity and seismic source models in Iran. These maps have been prepared to indicate the earthquake hazard of Iran in the form of iso-acceleration contour lines, and seismic hazard zoning, by using current probabilistic procedures. They display the probabilistic estimates of Peak Ground Acceleration (PGA) for the return periods of 75 and 475 years. The maps have been divided into intervals of 0.25 degrees in both latitudinal and longitudinal directions to calculate the peak ground acceleration values at each grid point and draw the seismic hazard curves. The results presented in this study will provide the basis for the preparation of seismic risk maps, the estimation of earthquake insurance premiums, and the preliminary site evaluation of critical facilities.

USE OF GEOGRAPHIC INFORMATION SYSTEMS FOR GEOSEISMIC HAZARDS

2007 ◽  
Vol 01 (04) ◽  
pp. 347-360
Author(s):  
SISSY NIKOLAOU
Keyword(s):  
New York ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Hazard Analysis ◽  
Earthquake Hazard ◽  
Seismic Source ◽  
Seismic Wave Propagation ◽  
Geographic Information ◽  
Seismic Source Models ◽  
Source Models

This paper presents integrated Geographic Information Systems (GIS) developed to perform seismic hazard and risk assessment. The systems can perform complex interactive computations which would be difficult and time-consuming to carry out manually, such as: (i) deterministic and probabilistic earthquake hazard analysis; (ii) evaluation of different ground motion and seismic source models; (iii) assessment of the effect of local geology; (iv) generation of design-compatible time histories; and (v) damage assessment of spatially distributed structural systems. An application for the New York City metropolitan area demonstrates that despite the scarcity of recorded data, incomplete knowledge of seismic wave propagation characteristics, and sometimes insufficient geologic data, it is possible to arrive at a rational estimate of the seismic risk potential in a probabilistic manner, combining available information and uncertainties in the GIS environment.

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