Earthquake risk assessment

The assessment of earthquake risk in portfolio, urban or regional scale constitutes an important element in the mitigation of economic and social losses due to earthquakes, planning of immediate post-earthquake actions as well as for the development of earthquake insurance schemes. Earthquake risk assessment methodologies consider and combine three main factors: earthquake hazard, fragility/vulnerability and inventory of assets exposed to hazard. These factors exhibit aleatory and epistemic uncertainties embedded in their various components. Challenges exist in the characterization of the earthquake hazard as well as in the determination of the fragilities/vulnerabilities of the physical and social elements exposed to the hazard. The simulation of the spatially correlated fields of ground motion using empirical models of correlation between intensity measures is an important tool for hazard characterization. Vulnerability relationships for physical elements, derived from empirical, analytical or expert opinion based methods, provide the probability of loss ratio, conditional on a level of intensity measure. The uncertainties involved in these relationships and especially the correlation in these uncertainties are important to obtain the bounds of the expected losses. Rather simplified procedures exist for the rapid post-earthquake assessment of physical, social and economic losses. The reduction of the uncertainties inherent in the basic ingredients of such rapid earthquake loss assessment is an important issue that needs to be tackled in the future for their viability and reliability. The uncertainties inherent in the determination of exposed assets and their fragilities/vulnerabilities needs to be tackled in the future for the viability and reliability of such rapid loss assessments. The commonly used risk metrics in earthquake insurance are the Average Annual Loss and Loss Exceedance Probability curves. A rigorous treatment of uncertainty and correlation are needed for the proper estimation of these metrics and earthquake insurance related decisions. This paper looks at the current practices in regional and urban earthquake risk assessment, discusses current issues and provides illustrative applications.

[1]  S. Lagomarsino,et al.  A MACROSEISMIC METHOD FOR THE VULNERABILITY ASSESSMENT OF BUILDINGS , 2002 .

[2]  M. Jia,et al.  Analytical Formulations of Fragility Functions with Applications to Probabilistic Seismic Risk Analysis , 2012 .

[3]  Amr S. Elnashai,et al.  A new analytical procedure for the derivation of displacement-based vulnerability curves for populations of RC structures , 2005 .

[4]  F. Scherbaum,et al.  On the Conversion of Source-to-Site Distance Measures for Extended Earthquake Source Models , 2004 .

[5]  Julian J. Bommer,et al.  A Probabilistic Displacement-based Vulnerability Assessment Procedure for Earthquake Loss Estimation , 2004 .

[6]  Julian J. Bommer,et al.  Recent Developments in the Treatment of Ground-Motion Variability in Earthquake Loss Models , 2008 .

[7]  Yi-Kwei Wen,et al.  Vulnerability Function Framework for Consequence-based Engineering , 2004 .

[8]  Haluk Ozener,et al.  Istanbul's earthquake hot spots: Geodetic constraints on strain accumulation along faults in the Marmara seismic gap , 2014 .

[9]  Carlo Meletti,et al.  The 2013 European Seismic Hazard Model: key components and results , 2015, Bulletin of Earthquake Engineering.

[10]  J. Baker,et al.  A vector‐valued ground motion intensity measure consisting of spectral acceleration and epsilon , 2005 .

[11]  James E. Daniell,et al.  Development of socio-economic fragility functions for use in worldwide rapid earthquake loss estimation procedures , 2014 .

[12]  David J. Wald,et al.  Estimating Casualties for Large Earthquakes Worldwide Using an Empirical Approach , 2009 .

[13]  J. Baker,et al.  Correlation model for spatially distributed ground‐motion intensities , 2009 .

[14]  Seismic Risk Assessment for the Prioritization of High Seismic Risk Provinces in Turkey , 2012 .

[15]  G. Grünthal,et al.  Seismic risk mapping for Germany , 2006 .

[16]  Silva,et al.  Exploring Strategies for Portfolio Analysis in Probabilistic Seismic Loss Estimation , 2013 .

[17]  R. Mcguire Seismic Hazard and Risk Analysis , 2004 .

[18]  Lance Manuel,et al.  An empirical attenuation relationship for Northwestern Turkey ground motion using a random effects approach , 2004 .

[19]  Rui Pinho,et al.  Displacement-Based Earthquake Loss Assessment for an Earthquake Scenario in Istanbul , 2008 .

[20]  Bruce R. Ellingwood,et al.  Risk-Targeted versus Current Seismic Design Maps for the Conterminous United States , 2007 .

[21]  Mustafa Erdik,et al.  ELER software – a new tool for urban earthquake loss assessment , 2010 .

[22]  G. Dresen,et al.  An earthquake gap south of Istanbul , 2013, Nature Communications.

[23]  A. Hortacsu,et al.  FEMA ROVER Version 2 and ROVER ATC-20, Mobile Earthquake Safety Software , 2015 .

[24]  Robert V. Whitman,et al.  HAZUS Earthquake Loss Estimation Methods , 2006 .

[25]  Dominik H. Lang,et al.  SELENA - An open-source tool for seismic risk and loss assessment using a logic tree computation procedure , 2010, Comput. Geosci..

[26]  Gregory G. Deierlein,et al.  Using Collapse Risk Assessments to Inform Seismic Safety Policy for Older Concrete Buildings , 2012 .

[27]  H. Crowley,et al.  A Comparative Study of European Earthquake Loss Estimation Tools for a Scenario in Istanbul , 2008 .

[28]  Thomas Ulrich,et al.  Risk-targeted seismic design maps for mainland France , 2013, Natural Hazards.

[29]  J. Bommer,et al.  Modelling Seismic Hazard in Earthquake Loss Models with Spatially Distributed Exposure , 2006 .

[30]  L. S. Cha,et al.  Assessment of Global Seismic Loss Based on Macroeconomic Indicators , 1998 .

[31]  David J. Wald,et al.  ShakeMap manual: technical manual, user's guide, and software guide , 2005 .

[32]  Rui Pinho,et al.  Development of the OpenQuake engine, the Global Earthquake Model’s open-source software for seismic risk assessment , 2014, Natural Hazards.

[33]  Robert E. Melchers,et al.  Structural Reliability: Analysis and Prediction , 1987 .

[34]  Paolo Bazzurro,et al.  Exploring Risk-Targeted Hazard Maps for Europe , 2016 .

[35]  R. Spence,et al.  Earthquake Protection: Coburn/Earthquake Protection, Second Edition , 2006 .

[36]  H. Crowley,et al.  Development and Application of OpenQuake , an Open Source Software for Seismic Risk Assessment , 2012 .

[37]  J. Baker,et al.  GROUND MOTION MODELING FOR RISK AND RELIABILITY ASSESSMENT OF SAN FRANCISCO INFRASTRUCTURE SYSTEMS , 2014 .

[38]  Paolo Bazzurro,et al.  Modeling spatial correlation of ground motion Intensity Measures for regional seismic hazard and portfolio loss estimation , 2007 .

[39]  M. Erdik,et al.  Rapid earthquake hazard and loss assessment for Euro-Mediterranean region , 2010 .

[40]  Sinan Akkar,et al.  A Ground-Motion Predictive Model for Iran and Turkey for Horizontal PGA, PGV, and 5% Damped Response Spectrum: Investigation of Possible Regional Effects , 2015 .

[41]  Katsu Goda,et al.  A Comparison of Seismic-Hazard and Risk Deaggregation , 2006 .

[42]  Paolo Franchin,et al.  SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Systems and Critical Facilities: Methodology and Applications , 2014 .

[43]  Simona Esposito,et al.  PGA and PGV Spatial Correlation Models Based on European Multievent Datasets , 2011 .

[44]  S. Lagomarsino,et al.  Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings , 2006 .

[45]  David J. Wald,et al.  Rapid estimation of the economic consequences of global earthquakes , 2011 .

[46]  Ioanna Ioannou,et al.  The Global Earthquake Model Physical Vulnerability Database , 2016 .

[47]  R. Olea Geostatistics for Natural Resources Evaluation By Pierre Goovaerts, Oxford University Press, Applied Geostatistics Series, 1997, 483 p., hardcover, $65 (U.S.), ISBN 0-19-511538-4 , 1999 .

[48]  Tsuyoshi Takada,et al.  Macrospatial Correlation Model of Seismic Ground Motions , 2005 .

[49]  G. Grünthal European macroseismic scale 1998 : EMS-98 , 1998 .

[50]  K. Goda,et al.  Scenario earthquakes for spatially distributed structures , 2008 .

[51]  Christina Corbane,et al.  Pan-European seismic risk assessment: a proof of concept using the Earthquake Loss Estimation Routine (ELER) , 2016, Bulletin of Earthquake Engineering.

[52]  C. Cornell Engineering seismic risk analysis , 1968 .

[53]  J. Baker,et al.  Correlation of Spectral Acceleration Values from NGA Ground Motion Models , 2008 .

[54]  H. Crowley,et al.  Development of an open-source platform for calculating losses from earthquakes , 2012 .

[55]  M. Erdik,et al.  A spatial correlation model of peak ground acceleration and response spectra based on data of the Istanbul Earthquake Rapid Response and Early Warning System , 2016 .

[56]  D. Wald,et al.  A Global Building Inventory for Earthquake Loss Estimation and Risk Management , 2010 .

[57]  Helen Crowley,et al.  Epistemic Uncertainty in Fragility Functions for European RC Buildings , 2014 .

[58]  David J. Wald,et al.  PAGER--Rapid assessment of an earthquake?s impact , 2007 .

[59]  M. Erdik,et al.  The 14 th World Conference on Earthquake Engineering October 12-17 , 2008 , Beijing , China STATE-OFTHE-ART OF EUROPEAN EARTHQUAKE LOSS ESTIMATION SOFTWARE , 2008 .

[60]  Guoxin Wang,et al.  Probabilistic seismic hazard analysis in Nepal , 2013, Earthquake Engineering and Engineering Vibration.

[61]  Dimitrios Vamvatsikos,et al.  Guidelines for analytical vulnerability assessment of low- to mid-rise buildings - Methodology , 2014 .

[62]  Eser Durukal,et al.  DEVELOPMENT OF RAPID EARTHQUAKE LOSS ASSESSMENT METHODOLOGIES for EURO-MED REGION , 2008 .

[63]  M. J. Nigel Priestley,et al.  Myths and fallacies in earthquake engineering , 1993 .

[64]  Abbie B. Liel,et al.  Incorporation of Spatial Correlations between Building Response Parameters in Regional Seismic Loss Assessment , 2014 .

[66]  Alan L. Kafka,et al.  A Monte Carlo approach to seismic hazard analysis , 1999 .

[67]  James E. Daniell,et al.  Open Source Procedure for Assessment of Loss using Global Earthquake Modelling software (OPAL) , 2011 .

[68]  UNCERTAINTY MODELING FOR DISASTER LOSS ESTIMATION , 1999 .

[69]  Eduardo Miranda,et al.  Probabilistic estimation of maximum inelastic displacement demands for performance‐based design , 2007 .

[70]  Hope A. Seligson,et al.  Annualized Earthquake Loss Estimates for California and Their Sensitivity to Site Amplification , 2016 .

[71]  Pierre Mouroux,et al.  Presentation of RISK-UE Project , 2006 .

[72]  Mustafa Erdik,et al.  Istanbul Earthquake Rapid Response and the Early Warning System , 2003 .

[73]  Ioanna Ioannou,et al.  Evaluation of Existing Fragility Curves , 2014 .

[74]  K. Pitilakis,et al.  Earthquake Disaster Scenario Prediction and Loss Modelling for Urban Areas , 2007 .

[75]  H. Hong,et al.  Spatial correlation of peak ground motions and response spectra , 2008 .

[76]  S. Akkar,et al.  Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East , 2014, Bulletin of Earthquake Engineering.

[77]  David J. Wald,et al.  Use of expert judgment elicitation to estimate seismic vulnerability of selected building types , 2012 .

[78]  Tapan K. Sen,et al.  Probabilistic Seismic Hazard Analysis , 2009 .

[79]  Paolo Gamba,et al.  Spatial aspects of building and population exposure data and their implications for global earthquake exposure modeling , 2013, Natural Hazards.

[80]  Jonathan P. Stewart,et al.  Evaluation of the seismic performance of a code‐conforming reinforced‐concrete frame building—from seismic hazard to collapse safety and economic losses , 2007 .

[81]  Thalia Anagnos,et al.  Development of a National Earthquake Loss Estimation Methodology , 1997 .

[82]  K. Pitilakis,et al.  SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk: Buildings, Lifelines, Transportation Networks and Critical Facilities , 2014 .

[83]  C. Cornell,et al.  Correlation of Response Spectral Values for Multicomponent Ground Motions , 2006 .

[84]  J. Bommer,et al.  Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East , 2010 .

[85]  Roger M.W. Musson,et al.  The use of Monte Carlo simulations for seismic hazard assessment in the U.K. , 2000 .

[86]  G. Atkinson,et al.  Intraevent Spatial Correlation of Ground-Motion Parameters Using SK-net Data , 2010 .

[87]  Charles Scawthorn,et al.  GEM Building Taxonomy (Version 2.0) , 2013 .

[88]  Bruce R. Ellingwood,et al.  Earthquake risk assessment of building structures , 2001, Reliab. Eng. Syst. Saf..

[89]  G. Atkinson,et al.  Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 s and 10.0 s , 2008 .

[90]  M. Erdik,et al.  Earthquake risk assessment for Istanbul metropolitan area , 2003 .

[91]  Thomas H. Heaton,et al.  Relationships between Peak Ground Acceleration, Peak Ground Velocity, and Modified Mercalli Intensity in California , 1999 .