Preface xi Alexei A. GAIVORONSKI, Pavel S. KNOPOV, Vladimir I. NORKIN and Volodymyr A. ZASLAVSKYI -- Part 1. Model-Based Risk Management in Critical Economic Sectors -- Introduction to Part 1 3 Alexei A. GAIVORONSKI and Pavel S. KNOPOV -- Chapter 1. Integrated Solutions and Distributed Models' Linkage Procedures for Food--Energy--Water--Environmental Nexus Security Modeling and Management 5 Tatiana Y. ERMOLIEVA, Anatoly G. ZAGORODNY, Viacheslav L. BOGDANOV, Petr HAVLIK, Elena ROVENSKAJA, Nadejda KOMENDANTOVA and Pavel S. KNOPOV -- 1.1. Introduction -- 1.2. Linking distributed optimization models under joint resource constraints -- 1.3. Linking energy and agricultural models for FEW nexus -- 1.4. Conclusion -- 1.5. Acknowledgments -- 1.6. References -- Chapter 2. Integrated Modeling for Managing Catastrophic Risks: Vulnerability Analysis and Systemic Risks Management 25 Nadejda KOMENDANTOVA, Tatiana Y. ERMOLIEVA, Taher ZOBEIDI, Iuliana ARMAS, Dragos TOMA-DANILA and Marcel HÜRLIMANN -- 2.1. Introduction -- 2.2. Management of endogenous systemic risks: safety indicators and robust measures -- 2.3. Types of vulnerability and vulnerability analysis approaches -- 2.4. Statistical and ML approaches to analyze future vulnerabilities -- 2.5. Application of the ML regression model to future vulnerability scenarios testing -- 2.6. Conclusion -- 2.7. Acknowledgments -- 2.8. References -- Chapter 3. Robust Statistical Estimation and Two-Stage Stochastic Optimization: Quantile Regression EPIC Meta-Model of Soil Organic Carbon for Robust Decision Making with GLOBIOM 59 Tatiana Y. ERMOLIEVA, Petr HAVLIK, Andrey LESSA-DERCI-AUGUSTYNCZIK, Stefan FRANK, Andre DEPPERMANN, Andrè (Mahdi) NAKHAVALI, Juraj BALKOVIC, Rastislav SKALSKY and Nadejda KOMENDANTOVA -- 3.1. Introduction -- 3.2. Concept of robustness in statistical and general decision-making problems -- 3.3. Quantile-based machine learning regression model for tracking the dynamics and uncertainties of soil organic carbon in agricultural soils using multisource data -- 3.4. Conclusion -- 3.5. Acknowledgments -- 3.6. References -- Chapter 4. A Multi-Stage Multi-Horizon Stochastic Equilibrium Model of Multi-Fuel Energy Markets 79 Zhonghua SU, Alexei A. GAIVORONSKI and Asgeir TOMASGARD -- 4.1. Introduction -- 4.2. Model formulation and model-specific background -- 4.3. Case study -- 4.4. Results analysis -- 4.5. Conclusion and outlook for future work -- 4.6. Appendix -- 4.7. References -- Chapter 5. Modeling for Diversification and Optimization of the Electricity Generation Capacities in the Energy Sector 131 Volodymyr A. ZASLAVSKYI and Maya PASICHNA -- 5.1. Introduction -- 5.2. Data collection -- 5.3. Conclusion -- 5.4. References -- Part 2. Reliability Theory for Ensuring Safety of Critical Infrastructure Facilities -- Introduction to Part 2 149 Pavel S. KNOPOV and Volodymyr A. ZASLAVSKYI -- Chapter 6. Methods of Risk Assessment in Environmentally Hazardous Industries 151 Pavel S. KNOPOV, Aleksandr N. GOLODNIKOV, Volodumir A. PEPELYAEV and Liliia B. VOVK -- 6.1. Introduction -- 6.2. Analysis of publications -- 6.3. Evaluation methods with a limited amount of statistical information -- 6.4. Conclusion -- 6.5. Acknowledgments -- 6.6. References -- Chapter 7. Application of the Type-Variety Principle in the Formation of a Complex of Non-Destructive Testing Technologies for Critical Infrastructure 183 Volodymyr A. ZASLAVSKYI -- 7.1. Introduction -- 7.2. Optimization algorithm for a heterogeneous set of non-destructive testing methods for defect detection in complex systems -- 7.3. Conclusion -- 7.4. References -- Chapter 8. The Type-Variety Principle, Mathematical Models and Algorithms for the Optimization of the Reliability of Series-Parallel and Parallel-Series Systems, the Elements of Which Allow Two Types of Failures 207 Volodymyr A. ZASLAVSKYI and Oleg FRANCHUK -- 8.1. Introduction -- 8.2. Models and algorithms for optimizing the reliability of series--parallel systems the elements of which allow two types of failures. -- 8.3. Optimal type-variety redundancy of parallel--serial systems, the element of which allows two types of failures -- 8.4. Conclusion -- 8.5. References -- Chapter 9. Mathematical Models for the Study of Critical Infrastructure Vulnerability 233 Konstantin ATOYEV -- 9.1. Introduction -- 9.2. The general approach to CI risk assessment -- 9.3. The model for assessment of CI vulnerability -- 9.4. Assessing the consequences of CI disruptions -- 9.5. Dependence on small changes in model parameters -- 9.6. Assessment of CI risks for separate economic sectors -- 9.7. Conclusion -- 9.8. Acknowledgments -- 9.9. References -- List of Authors -- Index -- Summary of Volume 2.