Operational earthquake loss forecasting: a retrospective analysis of some recent Italian seismic sequences
Tóm tắt
Operational earthquake forecasting (OEF) relies on real-time monitoring of seismic activity in an area of interest to provide constant (e.g., daily) updates of the expected number of events exceeding a certain magnitude threshold in a given time window (e.g., 1 week). It has been demonstrated that the rates from OEF can be used to estimate expected values of the seismic losses in the same time interval OEF refers to. This is a procedure recently defined as operational
earthquake
loss
forecasting (OELF), which may be the basis for rational short-term seismic risk assessment and management. In Italy, an experimental OELF system, named MANTIS-K, is currently under testing. It is based on weekly rates of earthquakes exceeding magnitude (M) 4, which are updated once a day or right after the occurrence in the country of an M 3.5+ earthquake. It also relies on large-scale structural vulnerability and exposure data, which serve to the system to provide continuously the weekly expected number of: (1) collapsed buildings, (2) displaced residents, and (3) casualties. While the probabilistic basis of MANTIS-K was described in previous work, in this study OELF is critically discussed with respect to three recent Italian seismic sequences. The aim is threefold: (1) illustrating all the features of the OELF system in place; (2) providing insights to evaluate whether if it would have been a useful additional tool for short-term management; (3) recognizing common features, if any, among the losses computed for different sequences.
Tài liệu tham khảo
Braga F, Dolce M, Liberatore D (1982) Southern Italy November 23 1980 earthquake: a statistical study on damaged buildings and an ensuing review of the M.S.K.-76 Scale. In: Proceedings of 7th European conference on earthquake engineering, ECEE, CNR-PFG n.503, Rome, Italy
Chioccarelli E, De Luca F, Iervolino I (2009) Preliminary study of L’Aquila earthquake ground motion records V5. 20. ReLUIS report. http://www.reluis.it/doc/pdf/Aquila/Peak_Parameters_L_Aquila_Mainshock_V5.2.pdf
Cornell CA, Krawinkler H (2000) Progress and challenges in seismic performance assessment. PEER Cent News 3:1–3
Dolce M, Di Bucci D (2015) Comparing recent Italian earthquakes. Bull Earthq Eng. doi:10.1007/s10518-015-9773-7
Gerstenberger M, Wiemer S, Jones LM, Reasenberg PA (2005) Real-time forecasts of tomorrow’s earthquakes in California. Nature 435:328–331
Gutenberg B, Richter CF (1944) Frequency of earthquakes in California. Bull Seismol Soc Am 34:185–188
Iervolino I (2013) Probabilities and fallacies: why hazard maps cannot be validated by individual earthquakes. Earthq Spectra 29:1125–1136
Iervolino I, De Luca F, Chioccarelli E (2012) Engineering seismic demand in the 2012 Emilia sequence: preliminary analysis and model compatibility assessment. Ann Geophys Italy 55:639–645
Iervolino I, Chioccarelli E, Giorgio M, Marzocchi W, Lombardi AM, Zuccaro G, Cacace F (2014a) Operational earthquake loss forecasting in Italy: preliminary results. In: Proceedings of 2nd European conference on earthquake engineering and seismology, 2ECEES, Istanbul, Turkey
Iervolino I, Giorgio M, Chioccarelli E (2014b) Closed-form aftershock reliability of damage-cumulating elastic-perfectly-plastic systems. Earthq Eng Struct D 43:613–625
Iervolino I, Chioccarelli E, Giorgio M, Marzocchi W, Zuccaro G, Dolce M, Manfredi G (2015a) Operational (short-term) earthquake loss forecasting in Italy. Bull Seismol Soc Am 105:2286–2298
Iervolino I, Giorgio M, Polidoro B (2015b) Reliability of structures to earthquake clusters. Bull Earthq Eng 13:983–1002
Jordan TH, Chen Y-T, Madariaga R, Main I, Marzocchi W, Papadopoulos G, Sobolev G, Yamaoka K, Zschau J (2011) Operational earthquake forecasting—state of the knowledge and guidelines for utilization. Ann Geophys Italy 54:319–391
Marzocchi W, Lombardi AM (2009) Real-time forecasting following damaging earthquake. Geophys Res Lett 36:L21302
Marzocchi W, Lombardi AM, Casarotti E (2014) The establishment of an operational earthquake forecasting system in Italy. Seismol Res Lett 85:961–969
Marzocchi W, Iervolino I, Giorgio M, Falcone G (2015) When is the probability of a large earthquake too small? Seismol Res Lett. doi:10.1785/0220150129
McGuire RK (2004) Seismic hazard and risk analysis. Earthquake Engineering Research Institute Publication, Oakland, California, Monograph MNO-10
Ogata Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes. J Am Stat Assoc 83:9–27
Ogata Y (1998) Space-time point-process models for earthquake occurrences. Ann Inst Stat Math 50:379–402
Pasolini C, Albarello D, Gasperini P, D’Amico V, Lolli B (2008) The attenuation of seismic intensity in Italy, part II: modelling and validation. Bull Seismol Soc Am 98:692–708
Sieberg A (1931) Erdebeben. In: Gutenberg B (ed) Handbuch der Geophysik, vol 4, pp 552–554 (in German)
Whitman RV, Reed JW, Hong ST (1973) Earthquake damage probability matrices. In: Proceedings of 5th world conference on earthquake engineering, 5WCEE, Rome, Italy
Zuccaro G, Cacace F (2009) Revisione dell’inventario a scala nazionale delle classi tipologiche di vulnerabilità ed aggiornamento delle mappe nazionali di rischio sismico. In: Proceedings of XIII Convegno l’Ingegneria Sismica in Italia, ANIDIS, Bologna, Italy (in Italian)
Zuccaro G, Cacace F (2011) Seismic casualty evaluation: the Italian model, an application to the L’Aquila 2009 event. In: Spence R, So E, Scawthorn C (eds) Human casualties in earthquakes: progress in modelling and mitigation. Springer, London
Zuccaro G, Cacace F, De Gregorio D (2012) Buildings inventory for seismic vulnerability assessment on the basis of census data at national and regional scale. In: Proceedings of 15th world conference on earthquake engineering, 15WCEE, Lisbon, Portugal