Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks

This paper addresses the issue of risk from disasters occurring due to accidents in high-consequence technologies, e.g., nuclear and oil and gas. The focus is on the challenges posed to the representation and treatment of uncertainties in the assessment of such risk, given that the occurrence of such extreme disasters is extremely unlikely, and yet they occur. A general framework of analysis is proposed.

[1]  Frank J. Groen,et al.  Foundations of probabilistic inference with uncertain evidence , 2005, Int. J. Approx. Reason..

[2]  Terje Aven,et al.  The Role of Quantitative Risk Assessments for Characterizing Risk and Uncertainty and Delineating Appropriate Risk Management Options, with Special Emphasis on Terrorism Risk , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[3]  James O. Berger,et al.  An overview of robust Bayesian analysis , 1994 .

[4]  Didier Dubois,et al.  Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .

[5]  T. Bedford,et al.  Probabilistic Risk Analysis: Foundations and Methods , 2001 .

[6]  Jorge Daniel Riera,et al.  Model uncertainty in the assessment of transmission line towers subjected to cable rupture , 2008 .

[7]  Neil E. Todreas,et al.  Reliability analysis of a passive cooling system using a response surface with an application to the Flexible Conversion Ratio Reactor , 2009 .

[8]  Preben Terndrup Pedersen,et al.  Measures of model uncertainty in the assessment of primary stresses in ship structures , 1996 .

[9]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model , 2007, Reliab. Eng. Syst. Saf..

[10]  A. O'Hagan,et al.  Bayesian calibration of computer models , 2001 .

[11]  Enrico Zio,et al.  Reliability engineering: Old problems and new challenges , 2009, Reliab. Eng. Syst. Saf..

[12]  David Kriebel,et al.  The Role of Science and Precaution in Environmental and Public Health Policy , 2006 .

[13]  Hiromitsu Kumamoto,et al.  Probabilistic Risk Assessment , 1996 .

[14]  George E Apostolakis,et al.  How Useful Is Quantitative Risk Assessment? , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[15]  Rob P. Rechard,et al.  Historical background on performance assessment for the Waste Isolation Pilot Plant , 1999, Reliab. Eng. Syst. Saf..

[16]  R P Rechard,et al.  Historical Relationship Between Performance Assessment for Radioactive Waste Disposal and Other Types of Risk Assessment , 1999, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  Luciano Burgazzi.  Addressing the uncertainties related to passive system reliability , 2007 .

[18]  T. Aven.  Foundations of risk analysis , 2003 .

[19]  Terje Aven,et al.  A semi-quantitative approach to risk analysis, as an alternative to QRAs , 2008, Reliab. Eng. Syst. Saf..

[20]  D. Cacuci,et al.  A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods , 2004 .

[21]  Terje Aven,et al.  Some reflections on uncertainty analysis and management , 2010, Reliab. Eng. Syst. Saf..

[22]  P. Walley.  Statistical Reasoning with Imprecise Probabilities , 1990 .

[23]  Enrico Zio,et al.  Some considerations on the treatment of uncertainties in risk assessment for practical decision making , 2011, Reliab. Eng. Syst. Saf..

[24]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[25]  Enrico Zio,et al.  An Introduction to the Basics of Reliability and Risk Analysis , 2007 .

[26]  Jon C. Helton,et al.  Alternative representations of epistemic uncertainty , 2004, Reliab. Eng. Syst. Saf..

[27]  Ortwin Renn.  Three decades of risk research: accomplishments and new challenges , 1998 .

[28]  M. G. Marietta,et al.  Uncertainty and sensitivity analysis results obtained in the 1992 performance assessment for the waste isolation pilot plant , 1996 .

[29]  Robert L. Armacost,et al.  Integrative risk and uncertainty analysis for complex public sector operational systems , 1999 .

[30]  Mary Drouin,et al.  Treatment of Uncertainties Associated with PRAs in Risk-Informed Decision Making (NUREG-1855) , 2009 .

[31]  Terje Aven,et al.  On the Need for Restricting the Probabilistic Analysis in Risk Assessments to Variability , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[32]  Homayoon Dezfuli,et al.  Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners (Second Edition) , 2011 .

[33]  Terje Aven,et al.  On how to define, understand and describe risk , 2010, Reliab. Eng. Syst. Saf..

[34]  Jon C. Helton,et al.  Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..

[35]  Terje Aven,et al.  Models and model uncertainty in the context of risk analysis , 2003, Reliab. Eng. Syst. Saf..

[36]  S. Ferson,et al.  Different methods are needed to propagate ignorance and variability , 1996 .

[37]  Eduard Hofer,et al.  An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties , 2002, Reliab. Eng. Syst. Saf..

[38]  C. Guedes Soares,et al.  Reliability, Risk, and Safety: Theory and Applications , 2009 .

[39]  E. Zio,et al.  A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[40]  G. W. Parry,et al.  Characterization and evaluation of uncertainty in probabilistic risk analysis , 1981 .

[41]  Carol S. Smidts,et al.  A framework to integrate software behavior into dynamic probabilistic risk assessment , 2007, Reliab. Eng. Syst. Saf..

[42]  Didier Dubois,et al.  Possibility theory and statistical reasoning , 2006, Comput. Stat. Data Anal..

[43]  D. Lindley.  The Philosophy of Statistics , 2000 .

[44]  D Warner North,et al.  Probability Theory and Consistent Reasoning , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[45]  Didier Dubois,et al.  Representation, Propagation, and Decision Issues in Risk Analysis Under Incomplete Probabilistic Information , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[46]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[47]  Bernard Krzykacz-Hausmann.  An approximate sensitivity analysis of results from complex computer models in the presence of epistemic and aleatory uncertainties , 2006, Reliab. Eng. Syst. Saf..

[48]  G. Apostolakis.  The concept of probability in safety assessments of technological systems. , 1990, Science.

[49]  Hans-Jürgen Zimmermann,et al.  An application-oriented view of modeling uncertainty , 2000, Eur. J. Oper. Res..

[50]  N. Siu,et al.  Risk assessment for dynamic systems: An overview , 1994 .

[51]  Toly Chen,et al.  A fuzzy set approach for event tree analysis , 2001, Fuzzy Sets Syst..

[52]  Didier Dubois,et al.  Joint Propagation and Exploitation of Probabilistic and Possibilistic Information in Risk Assessment , 2006, IEEE Transactions on Fuzzy Systems.

[53]  S. Kaplan,et al.  On The Quantitative Definition of Risk , 1981 .

[54]  Luca Podofillini,et al.  Monte Carlo simulation analysis of the effects of different system performance levels on the importance of multi-state components , 2003, Reliab. Eng. Syst. Saf..

[55]  A. Introduction,et al.  AN APPROACH FOR USING PROBABILISTIC RISK ASSESSMENT IN RISK-INFORMED DECISIONS ON PLANT- SPECIFIC CHANGES TO THE LICENSING BASIS , 2009 .

[56]  Timothy A. Wheeler,et al.  Guidance on the Treatment of Uncertainties Associated with PRAs in Risk-Informed Decision Making , 2009 .

[57]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[58]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 5: Dynamic probabilistic simulation of the IDAC model , 2007, Reliab. Eng. Syst. Saf..

[59]  A. Tversky,et al.  Judgment under Uncertainty , 1982 .

[60]  Enrico Zio,et al.  Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories , 1996 .

[61]  Enrico Zio,et al.  Handling epistemic uncertainties in fault tree analysis by probabilistic and possibilistic approaches , 2009 .