Repository logo
  • English
  • Italiano
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Affiliation
  3. INGV
  4. Article published / in press
  5. HAZGRIDX: earthquake forecasting model for ML ≥ 5.0 earthquakes in Italy based on spatially smoothed seismicity
 
  • Details

HAZGRIDX: earthquake forecasting model for ML ≥ 5.0 earthquakes in Italy based on spatially smoothed seismicity

Author(s)
Akinci, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia  
Language
English
Obiettivo Specifico
4.2. TTC - Modelli per la stima della pericolosità sismica a scala nazionale
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Annals of Geophysics  
Issue/vol(year)
3/53(2010)
Publisher
INGV
Pages (printed)
55-61
Date Issued
June 25, 2010
DOI
10.4401/ag-4811
Alternative Location
http://www.annalsofgeophysics.eu/index.php/annals/article/view/4811
URI
https://www.earth-prints.org/handle/2122/6698
Subjects
04. Solid Earth::04.06. Seismology::04.06.02. Earthquake interactions and probability  
Subjects

Earthquake interactio...

Smoothed seismicity

Abstract
We present a five-year, time-independent, earthquake-forecast model for earthquake magnitudes of 5.0 and greater in Italy using spatially smoothed seismicity data. The model is called HAZGRIDX, and it was developed based on the assumption that future earthquakes will occur near locations of historical earthquakes; it does not take into account any information from tectonic, geological, or geodetic data. Thus HAZGRIDX is based on observed earthquake occurrence from seismicity data, without considering any physical model. In the present study, we calculate earthquake rates on a spatial grid platform using two declustered catalogs: 1) the Parametric catalog of Italian earthquakes (Catalogo Parametrico dei Terremoti Italiani, CPTI04) that contains the larger earthquakes from MW 7.0 since 1100; and 2) the Italian seismicity catalogue (Catalogo della Sismicità Italiana, CSI 1.1) that contains the small earthquakes down to ML 1.0, with a maximum of ML 5.9, over the past 22 years (1981-2003). The model assumes that earthquake magnitudes follow the Gutenberg-Richter law, with a uniform b-value. The forecast rates are presented in terms of the expected numbers of ML>5.0 events per year for each grid cell of about 10 km × 10 km. The final map is derived by averaging the earthquake potentials that come from these two different catalogs: CPTI04 and CSI 1.1. We also describe the earthquake occurrences in terms of probabilities of occurrence of one event within a specified magnitude bin, DM0.1, in a five year time period. HAZGRIDX is one of several forecasting models, scaled to five and ten years, that have been submitted to the Collaboratory for the Study of Earthquake Probability (CSEP) forecasting center in ETH, Zurich, to be tested for Italy.
Sponsors
This study was performed in the framework
of the activities of project S2, coordinated by Warner Marzocchi and Ezio
Faccioli, and as one of the INGV-DPC 2006-09 applied research programs
with the financial support of the Italian Dipartimento della Protezione
Civile (DPC)
References
Akinci, A, F. Galadini, D. Pantosti, M. Petersen, L. Malagnini
and D. Perkins (2009). Effect of time dependence on
probabilistic seismic-hazard maps and deaggregation for
the central Apennines, Italy, Bull. Seism. Soc. Am., 99,
585-610.
Akinci, A., D. Perkins, A.M. Lombardi and R. Basili (2010).
Uncertainties in the estimation of the probability of
occurrence of strong earthquakes from individual
seismological sources in the Apennines, Italy, J. Seismol.,
14, 95-117.
Beauval, C. and O. Scotti (2004). Quantifying sensitivities of
PSHA for France to earthquake catalog uncertainties,
truncation of ground-motion variability, and magnitude
limits, Bull. Seismol. Soc. Am., 94, 1579-1594.
Bommer, J., F. Scherbaum, H. Bungum, F. Cotton, F. Sabetta
and N.A. Abrahamson (2005). On the use of logic trees
for ground-motion prediction equations in seismic hazard
analysis, Bull. Seism. Soc. Am., 95, 377-389.
Boschi, E., G. Ferrari, P. Gasperini, E. Guidoboni, G. Smriglio
and G. Valensise (1995). Catalogo dei forti terremoti in Italia
dal 461 a.C. al 1980, vol. 1, ING-SGA Bologna, 973 pp.
Camassi, R. and M. Stucchi (1997). NT4.1, un catalogo
parametrico di terremoti di area italiana al di sopra della
soglia di danno/NT4.1, a parametric catalog of damaging
earthquakes in the Italian area, CNR-GNDT Milano, 95
pp.; http://emidius.mi.ingv.it/NT/.
Camassi, R. (2004). Catalogs of historical earthquakes in Italy,
Annals of Geophysics, 47 (2-3), 644-657.
Cao, T., M. Petersen and A. Frankel (2005). Model uncertainties
of the 2002 update of California seismic hazard maps,Bull Seism Soc Am., 95, 2040-2057.
Castello, B., G. Selvaggi, C. Chiarabba and A. Amato (2006).
CSI Catalogo della sismicità italiana 1981-2002, versione
1.1, INGV-CNT, Roma; http://csi.rm.ingv.it/.
Chiarabba, C., L. Jovane and R.D. Stefano (2005). A new view
of Italian seismicity using 20 years of instrumental
recordings, Tectonophysics, 395, 251-268.
Console, R. and M. Murru (2001). A simple and testable
model for earthquake. clustering, Journal of Geophysical
Research, 106, 8699-8711.
Console, R., D.D. Jackson and Y.Y. Kagan (2010). Using ETAS
model for Catalog Declustering and Background
Assessment, Pure and Applied Geophysics, 167 (6-7), 819-
830; doi: 10.1007/s00024-010-0065-5.
Cornell, C.A. (1968). Engineering seismic risk analysis, Bull.
Seism. Soc. Am., 58, 1583-1606.
CPTI Working Group (1999). Catalogo Parametrico dei
Terremoti Italiani, versione 1 (CPTI99, luglio 1999), INGGNDT-
SGA-SSN, Bologna, 88 pp.; http://emidius.mi.
ingv.it/CPTI99/.
CPTI Working Group (2004). Catalogo Parametrico dei
Terremoti Italiani, versione 2004 (CPTI04), INGV, Bologna;
http://emidius.mi.ingv.it/CPTI04/.
Cramer, C.H., M.D. Petersen and M.S. Reichle (1996). A
Monte Carlo approach in estimating uncertainty for a
seismic hazard assessment of Los Angeles, Ventura and
Orange Counties, California, Bull Seism. Soc Am., 86,
1681-1691.
Cramer, C.H. (2001). A seismic hazard uncertainty analysis
for the New Madrid seismic zone, Eng. Geol., 62, 251-266.
Gardner, J.K. and L. Knopoff (1974). Is the sequence of
earthquakes in Southern California, with aftershocks
removed, Poissonian?, Bull Seism. Soc Am., 64, 1363-1367.
Gasperini, P. and G. Ferrari (2000). Deriving numerical
estimates from descriptive information: the computation
of earthquake parameters, in CFTI 3, Annals of
Geophysics, 43, 729-746.
Gutenberg, B. and C.F. Richter (1944). Frequency of earthquakes
in California, Bull Seism. Soc Am., 142, 185-188.
Felzer, K.R. and T. Cao (2007). Appendix H - WGCEP
historical California earthquake catalog, in Earthquake
Rate Model 2.2 of the Working Group on California
Earthquake Probabilities, http://www.wgcep.org/, USGS
Open File Report 2007-1437, CGS Special Report 203.
Felzer, K.R. (2008), Calculating California seismicity rates,
Appendix I in The UniformCalifornia Earthquake Rupture
Forecast, version 2 (UCERF 2), U.S. Geological Survey
Open-File Report 2007-1437, and California Geological
Survey Special Report 203, 42 pp.
Field, E.H., V. Gupta, N. Gupta, P. Maechling and T.H Jordan
(2005). Hazard map calculations using grid computing,
Seismological Research Letters, 76, 565-573.
Field, E.H. (2007). Overview of the Working Group for theDevelopment of Regional Earthquake Likelihood Models
(RELM), Seismological Research Letters, 78, 7-16.
Frankel, A. (1995). Mapping seismic hazard in the central and
eastern United States, Seismological Research Letters, 66, 8-21.
Frankel, A., C. Mueller, T. Barnard, D. Perkins, E.V. Leyendecker,
N. Dickman, S. Hanson and M. Hopper (1996). National
seismic-hazard maps; documentation June 1996: U.S.
Geological Survey Open-File Report 96-532, 110 pp.
Helmstetter, A., Y.Y. Kagan and D.D. Jackson (2006). Comparison
of short-term and time-independent earthquake forecast
models for southern California, Bull Seism. Soc Am., 96,
90-106.
Herrmann, R.B. (1977). Recurrence relations, Earthquake
Notes, 48, 47-49.
Kagan, Y.Y. and D.D. Jackson (1994). Long-term probabilistic
forecasting of earthquakes, Journal of Geophysical
Research, 99, 13685-13700.
Kagan, Y.Y., D.D. Jackson and Y. Rong (2007). A Testable Five-
Year Forecast of Moderate and Large Earthquakes in
Southern California Based on Smoothed Seismicity,
Seismological Research Letters, 78, 94-98.
Lolli, B. and P. Gasperini (2003). Aftershocks hazard in Italy,
Part I: Estimation of time-magnitude distribution model
parameters and computation of probabilities of
occurrence, J. Seism., 7, 235-257.
Lombardi, A.M, A. Akinci, L. Malagnini and C.H. Mueller
(2005). Uncertainty analysis for seismic hazard in Northern
and Central Italy, Annals of Geophysics, 48, 853-865.
Marzocchi, W., L. Sandri and E. Boschi (2003). On the
validation of earthquake-forecasting models: The case of
pattern recognition algorithms, Bull. Seism. Soc.Am., 93,
1994-2004.
MPS Working Group (2004). Redazione della mappa di
pericolosità sismica prevista dall’Ordinanza PCM 3274 del
20 marzo 2003, Rapporto conclusivo per il Dipartimento
della Protezione Civile, INGV, Milano-Roma, April 2004
(MPS04), 65 pp. + 5 appendices; http://zonesismiche.
mi.ingv.it.
Murru, M., R. Console, G. Falcone, C. Montuori and T. Sgroi
(2007). Spatial mapping of the b-value at Mt. Etna, Italy,
using earthquake data recorded from 1999 to 2005, J.
Geophys. Res., 12, B12303; doi: 10.1029/2006JB004791.
Pace, B., L. Peruzza, G. Lavecchia and P. Boncio (2006).
Layered seismogenic source model and probabilistic
seismic hazard analyses in Central Italy, Bull Seism. Soc
Am., 96, 107-132.
Petersen, M.D., T. Cao, K.W. Campbell and A.D. Frankel
(2007). Time-independent and time-dependent seismic
hazard assessment for the State of California: uniform
California earthquake rupture forecast model 1.0, Seismol
Res Lett., 78, 99-109.
Petersen, M.D., A.D. Frankel, S.C. Harmsen, C.S. Mueller,
K.M. Haller, R.L. Wheeler, R.L. Wesson, Y. Zeng, O.S.Boyd, D.M. Perkins, N. Luco, E.H. Field, C.J. Wills and
K.S. Rukstales (2008). Documentation for the 2008 Update
of the United States National Seismic Hazard Maps, U.S.
Geological Survey Open-File Report 1128, 61 pp.
Reasenberg, P. (1985). Second-order moment of Central
California seismicity, 1969-82, Journal of Geophysical
Research, 90 (B7), 5479-5496; doi: 10.1029/JB090iB07p05479.
Schorlemmer, D., M.C. Gerstenberger, S. Wiemer, D.D.
Jackson and D.A. Rhoades (2007). Earthquake Likelihood
Model Testing, Seismological Research Letters, 78, 17-29.
Schorlemmer, D., F. Mele and W. Marzocchi (2010). A completeness
analysis of the National Seismic Network of Italy,
J. Geophys. Res., 115, B04308; doi: 10.1029/2008JB006097.
SSHAC, Senior Seismic Hazard Analysis Committee (1997).
Recommendations for Probabilistic Seismic Hazard
Analysis:Guidance on Uncertainty and Use of Experts, U.S.
Nuclear Regulatory Commission, U.S. Dept. of Energy,
Electric Power Research Institute; NUREG/CR-6372,
UCRL-ID-122160, vol. 1-2. Also a review of the document
by National Academy Press, Washington, DC, 73 pp.
Weichert, D.H. (1980). Estimation of the earthquake recurrence
parameters for unequal observation periods for different
magnitudes, Bull. Seism. Soc. Am., 70, 1337-1346.
Wessel, P. and W.H.F. Smith (1998). New, improved version
of the Generic Mapping Tools Released, EOS Trans.
AGU, 79, 579.
Wiemer, S. (2001). A software package to analyze seismicity:
ZMAP, Seismol. Res. Letts., 72, 373-382.
Zechar, J.D., D. Schorlemmer, M. Liukis, J. Yu, F. Euchner,
P.J. Maechling and T.H. Jordan (2009). The Collaboratory
for the Study of Earthquake Predictability perspective on
computational earthquake science, Concurrency and
Computation: Practice and Experience, 22 (12), 1836-1847;
doi: 10.1002/cpe.1519
Type
article
File(s)
Loading...
Thumbnail Image
Name

AG_AKINCI2010.pdf

Size

8.82 MB

Format

Adobe PDF

Checksum (MD5)

7dac0476a1a3aa06a2f4847dc0be9b09

rome library|catania library|milano library|napoli library|pisa library|palermo library
Explore By
  • Research Outputs
  • Researchers
  • Organizations
Info
  • Earth-Prints Open Archive Brochure
  • Earth-Prints Archive Policy
  • Why should you use Earth-prints?
Earth-prints working group
⚬Anna Grazia Chiodetti (Project Leader)
⚬Gabriele Ferrara (Technical and Editorial Assistant)
⚬Massimiliano Cascone
⚬Francesca Leone
⚬Salvatore Barba
⚬Emmanuel Baroux
⚬Roberto Basili
⚬Paolo Marco De Martini

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback