Comparison of PSH results with historical macroseismic observations at different scales. Part 2: application to South-East France

Bulletin of Earthquake Engineering

Volumn 15, Issue 11, 2017, Pages 4609-4633

  Rosti, A ^a   Rota, M ^b  

^a SCUOLA UNIVERSITARIA SUPERIORE IUSS PAVIA   (Italy)

^b EUROPEAN CENTRE FOR TRAINING AND RESEARCH IN EARTHQUAKE ENGINEERING   (Italy)

Author keywords

Fragility curves; Macroseismic observations; Probabilistic seismic hazard analysis; Sampling in space; SisFrance database; South East France

Indexed keywords

IMAGE SEGMENTATION;

FRAGILITY CURVES; LOW-INTENSITY; MACROSEISMIC; PROBABILISTIC SEISMIC HAZARD ANALYSIS; REGION OF INTEREST; REGIONAL SCALE; SEISMIC ACTION; SOUTH-EAST FRANCE;

SEISMOLOGY;

CIVILIZATION; COMPARATIVE STUDY; DATABASE; PROBABILITY; SEISMIC DATA; SEISMIC HAZARD; SEISMICITY; UNCERTAINTY ANALYSIS;

FRANCE;

EID: 85019669998     PISSN: 1570761X     EISSN: 15731456     Source Type: Journal    
DOI: 10.1007/s10518-017-0161-3     Document Type: Article

References (37)

1. Akkar S, Sandikkaya MA, Bommer JJ (2014) Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East. Bull Earthq Eng 12(1):359–387
2. Albarello D, D’Amico V (2008) Testing probabilistic seismic hazard estimates by comparison with observations: an example in Italy. Geophys J Int 175:1088–1094
3. Baker JW, Abrahamson NA, Whitney JW, Board MP, Hanks TC (2013) Use of fragile geologic structures as indicators of unexceeded ground motions and direct constraints on probabilistic seismic hazard analysis. B Seismol Soc Am 103(3):1898–1911
4. Beauval C (2011) On the use of observations for constraining probabilistic seismic hazard estimates—brief review of existing methods. In: International conference on applications of statistics and probability in civil engineering, Zurich, Switzerland
5. Braga F, Dolce M, Liberatore D (1982) A statistical study on damaged buildings and an ensuing review of the MSK76 scale. In: 7th European conference on earthquake engineering, Athens, Greece
6. Carbon D, Drouet S, Gomes C, Leon A, Martin Ch, Secanell R (2012) Initial probabilistic seismic hazard model for France’s southeast ¼. Inputs to SIGMA Project for tests and improvements. Deliverable SIGMA-2012-D4-41, Final Report
7. Goertz-Allmann BP, Edwards B, Bethmann F, Deichmann N, Clinton J, Fäh D, Giardini D (2011) A new empirical magnitude scaling relation for Switzerland. Bull Seismol Soc Am 101(6):3088–3095
8. Grünthal G, Musson RMW, Schwarz J, Stucchi M (1998) European Macroseismic Scale 1998. Cahiers du Centre Européen de Géodynamique et de la Seismologie, Conseil de L’Europe, vol 15. Luxembourg
9. Gruppo di lavoro CPTI (2004) Catalogo Parametrico dei Terremoti Italiani, versione 2004 (CPTI04). INGV, Bologna. doi:10.6092/INGV.IT-CPTI04
10. Iervolino I (2013) Probabilities and fallacies: why hazard maps cannot be validated by individual earthquakes. Earthq Spectra 29(3):1125–1136
11. Jayaram N, Baker JW (2009) Correlation model for spatially distributed ground-motion intensities. Earthq Eng Struct Dyn 38(15):1687–1708
12. Labbé PB (2010) PSHA outputs versus historical seismicity example of France. In: 14th European conference on earthquake engineering, Ohrid, Macedonia
13. Lagomarsino S, Giovinazzi S (2006) Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings. Bull Earthq Eng 4:415–443
14. Levenberg K (1944) A method for the solution of certain non-linear problems in least squares. Q Appl Math 2(2):164–168
15. Locati M, Camassi R, Stucchi M (eds) (2011) DBMI11, the 2011 version of the Italian macroseismic database. Istituto Nazionale di Geofisica e Vulcanologia, Milano, Bologna. http://emidius.mi.ingv.it/DBMI11
16. Marquardt DW (1963) An algorithm for the least-squares estimation of nonlinear parameters. SIAM J Appl Math 11(2):431–441
17. Medvedev S, Sponheuer W, Karnik V (1964) Neue seismische Skala Intensity scale of earthquakes, 7. Tagung der Europäischen Seismologischen Kommission vom 24.9. bis 30.9.1962. In: Jena, Veröff. Institut für Bodendynamik und Erdbebenforschung in Jena, vol 77. Deutsche Akademie der Wissenschaften zu Berlin, pp 69–76
18. Ordaz M, Reyes C (1999) Earthquake hazard in Mexico City: observations versus computations. Bull Seismol Soc Am 89(5):1379–1383
19. Purvance MD, Brune JN, Abrahamson NA, Anderson JG (2008) Consistency of precariously balanced rocks with probabilistic seismic hazard estimates in Southern California. Bull Seismol Soc Am 98(6):2629–2640
20. Riedel I, Guéguen Ph, Dalla Mura M, Pathier E, Leduc T, Chanussot J (2015) Seismic vulnerability assessment of urban environments in moderate-to-low seismic hazard regions using association rule learning and support vector machine methods. Nat Hazards 76(2):1111–1141
21. Rosti A, Rota M, Penna A, Magenes G (2017) Statistical treatment of empirical damage data collected after the main Italian seismic events (1980–2009). In: Proceedings of 16th world conference on earthquake engineering, Santiago, Chile
22. Rota M, Rosti A (2017) Comparison of PSH results with historical macroseismic observations at different scales. Part 1: methodology. Bull Earthq Eng. doi:10.1007/s10518-017-0157-z
23. Rota M, Penna A, Strobbia CL (2008a) Processing Italian damage data to derive typological fragility curves. Soil Dyn Earthq Eng 28(10–11):933–947
24. Rota M, Penna A, Strobbia C, Magenes G (2008b) Derivation of empirical fragility curves from Italian damage data. Research Report No. ROSE-2008/08, IUSS Press, Pavia, ISBN: 978-88-6198-029-7, p 240
25. Rovida A (2013) The Italian macroseismic database (DBMI11) at the Italian–French border. In: Workshop macroseismicity: sharing and use of historical data, 3 April 2013, Paris
26. Sabetta F, Pugliese A (1987) Attenuation of peak horizontal acceleration and velocity from Italian strong-motion records. Bull Seismol Soc Am 77(5):1491–1513
27. Scotti O (2013) Joining forces/efforts to improve our knowledge of the effects of earthquakes affecting France and neighbouring countries. In: Workshop macroseismicity: sharing and use of historical data, Paris
28. Scotti O, Baumont D, Quenet G, Levret A (2004) The French macroseismic database SISFRANCE: objectives, results and perspectives. Ann Geophys 47(2–3):571–581
29. Sisfrance – Catalogue des séismes français métropolitains, BRGM, EDF, IRSN. http://www.sisfance.net
30. Stein S, Geller R, Liu M (2011) Bad assumptions or bad luck: why earthquake hazard maps need objective testing. Seismol Res Lett 82(5):623–626
31. Stirling M (2012) Earthquake hazard maps and objective testing: the Hazard Mapper’s point of view. Seismol Res Lett 83(2):231–232
32. Stirling M, Gerstenberger M (2010) Ground motion-based testing of seismic hazard models in New Zealand. Bull Seismol Soc Am 100(4):1407–1414
33. Stirling M, Petersen M (2006) Comparison of the historical record of earthquake hazard with seismic-hazard models for New Zealand and the continental United States. Bull Seismol Soc Am 96(6):1978–1994
34. Stucchi M, Rovida A, Gomez Capera AA, Alexandre P, Camelbeeck T, Demircioglu MB, Gasperini P, Kouskouna V, Musson RMW, Radulian M, Sesetyan K, Vilanova S, Baumont D, Bungum H, Fäh D, Lenhardt W, Makropoulos K, Martinez Solares JM, Scotti O, Živčić M, Albini P, Batllo J, Papaioannou C, Tatevossian R, Locati M, Meletti C, Viganò D, Giardini D (2013) The SHARE European Earthquake Catalogue (SHEEC) 1000–1899. J Seismol 17(2):523–544
35. Tasan H, Beauval C, Helmstetter A, Sandikkaya A, Guéguen Ph (2014) Testing probabilistic seismic hazard estimates against accelerometric data in two countries: France and Turkey. Geophys J Int 198(3):1554–1571
36. Wald DJ, Allen TI (2007) Topographic slope as a proxy for seismic site conditions and amplification. Bull Seismol Soc Am 97(5):1379–1395
37. Ward SN (1995) Area-based tests of long-term seismic hazard predictions. Bull Seismol Soc Am 85(5):1285–1298