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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/7184
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| Authors: | Haller, K. M.* Basili, R.* |
| Title: | Developing Seismogenic Source Models Based on Geologic Fault Data |
| Title of journal: | Seismological Research Letters |
| Series/Report no.: | 4/82(2011) |
| Publisher: | Seismological Society of America |
| Issue Date: | Jul-2011 |
| DOI: | 10.1785/gssrl.82.4.519 |
| URL: | http://www2.seismosoc.org/FMPro?-db=srl_index.fp7&-lay=TOC&-format=/srl_index/toc_dispNEW.html&Volume=82&Issue=4&TOC=1&-SortField=ToC_Sort&-SortField=Start%20Page%20Number&-Max=all&-find |
| Keywords: | Active fault fault source database seismic hazard Italy USA |
| Abstract: | Calculating seismic hazard usually requires input that includes seismicity associated with
known faults, historical earthquake catalogs, geodesy, and models of ground shaking.
This paper will address the input generally derived from geologic studies that augment
the short historical catalog to predict ground shaking at time scales of tens, hundreds, or
thousands of years (e.g., SSHAC 1997). A seismogenic source model, terminology we
adopt here for a fault source model, includes explicit three-dimensional faults deemed
capable of generating ground motions of engineering significance within a specified time
frame of interest. In tectonically active regions of the world, such as near plate
boundaries, multiple seismic cycles span a few hundred to a few thousand years. In
contrast, in less active regions hundreds of kilometers from the nearest plate boundary,
seismic cycles generally are thousands to tens of thousands of years long. Therefore, one
should include sources having both longer recurrence intervals and possibly older times
of most recent rupture in less active regions of the world rather than restricting the model
to include only Holocene faults (i.e., those with evidence of large-magnitude earthquakes
in the past 11,500 years) as is the practice in tectonically active regions with high
deformation rates.
During the past 15 years, our institutions independently developed databases to
characterize seismogenic sources based on geologic data at a national scale. Our goal
here is to compare the content of these two publicly available seismogenic source models
compiled for the primary purpose of supporting seismic hazard calculations by the
Istituto Nazionale di Geofisica e Vulcanologia (INGV) and the U.S. Geological Survey
(USGS); hereinafter we refer to the two seismogenic source models as INGV and USGS,
respectively. This comparison is timely because new initiatives are emerging to
characterize seismogenic sources at the continental scale (e.g., SHARE in the Euro-
Mediterranean, http://www.share-eu.org/; EMME in the Middle East, http://www.emmegem.
org/) and global scale (e.g., GEM, http://www.globalquakemodel.org/; Anonymous
2008). To some extent, each of these efforts is still trying to resolve the level of optimal
detail required for this type of compilation. The comparison we provide defines a
common standard for consideration by the international community for future regional
and global seismogenic source models by identifying the necessary parameters that
capture the essence of geological fault data in order to characterize seismogenic sources.
In addition, we inform potential users of differences in our usage of common
geological/seismological terms to avoid inappropriate use of the data in our models and
provide guidance to convert the data from one model to the other (for detailed
instructions, see the electronic supplement to this article). Applying our recommendations
will permit probabilistic seismic hazard assessment codes to run seamlessly using either
seismogenic source input.
The USGS and INGV database schema compare well at a first-level inspection.
Both databases contain a set of fields representing generalized fault three-dimensional
geometry and additional fields that capture the essence of past earthquake occurrences.
Nevertheless, there are important differences. When we further analyze supposedly comparable fields, many are defined differently. These differences would cause
anomalous results in hazard prediction if one assumes the values are similarly defined.
The data, however, can be made fully compatible using simple transformations. |
| Appears in Collections: | 04.07.04. Plate boundaries, motion, and tectonics Papers Published / Papers in press 04.04.09. Structural geology 04.06.11. Seismic risk 04.07.07. Tectonics 04.04.01. Earthquake geology and paleoseismology 04.06.01. Earthquake faults: properties and evolution
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| Haller&Basili_2011_SRL_EP.pdf | Main article | 646.75 kB | Adobe PDF | View/Open
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