Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling. The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological complexities of assessing disaster risks, which call for stochastic simulation, optimization methods and economic modeling. Furthermore, it describes policy frameworks for integrated disaster risk management, including stakeholder participation facilitated by user-interactive decision-support tools. Applications and results are presented for a number of case studies at different problem scales and in different socio-economic contexts, and their implications for loss sharing policies and economic development are discussed. Among others, the book presents studies for insurance policies for earthquakes in the Tuscany region in Italy and flood risk in the Tisza river basin in Hungary. Further, it investigates the economic impact of natural disasters on development and possible financial coping strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies.

Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling.

The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological complexities of assessing disaster risks, which call for stochastic simulation, optimization methods and economic modeling. Furthermore, it describes policy frameworks for integrated disaster risk management, including stakeholder participation facilitated by user-interactive decision-support tools.

Applications and results are presented for a number of case studies at different problem scales and in different socio-economic contexts, and their implications for loss sharing policies and economic development are discussed. Among others, the book presents studies for insurance policies for earthquakes in the Tuscany region in Italy and flood risk in the Tisza river basin in Hungary. Further, it investigates the economic impact of natural disasters on development and possible financial coping strategies; and applications are shown for selected South Asian countries.

The book is addressed both to researchers and to organizations involvedwith catastrophe risk management and risk mitigation policies.

There is today a wide range of pubLications avaiLabLe on the theory of reLiabiLity and the technique of ProbabiListic Safety AnaLysis (PSA). To pLace this work properLy in this context, we must recaLL a basic concept underLying both theory and technique, that of redundancy. ReLiabiLity is something which can be designed into a system, by the introduction of redundancy at appropriate points. John Von Neumann's historic paper of 1952 'ProbabiListic Logics and the Synthesis of ReLiabLe Organisms from UnreLiabLe Components" has served as inspiration for aLL subsequent work on systems reLiabiLity. This paper sings the praises of redundancy as a means of designing reLiabiLity into systems, or, to use Von Neumann's words, of minimising error. Redundancy, then, is a fundamentaL characteristic which a designer seeks to buiLd in by using appropriate structuraL characteristics of the 'modeL" or representation which he uses for his work. But any modeL is estabLished through a process of de Limination and decomposition. FirstLy, a "Universe of Discourse" is delineated; its component eLements are then separated out; and moreover in a probabiListic framework for each eLement each possibLe state is defined and assigned an appropriate possibiLity measure caLLed probability.

There is today a wide range of pubLications avaiLabLe on the theory of reLiabiLity and the technique of ProbabiListic Safety AnaLysis (PSA). To pLace this work properLy in this context, we must recaLL a basic concept underLying both theory and technique, that of redundancy. ReLiabiLity is something which can be designed into a system, by the introduction of redundancy at appropriate points. John Von Neumann's historic paper of 1952 'ProbabiListic Logics and the Synthesis of ReLiabLe Organisms from UnreLiabLe Components" has served as inspiration for aLL subsequent work on systems reLiabiLity. This paper sings the praises of redundancy as a means of designing reLiabiLity into systems, or, to use Von Neumann's words, of minimising error. Redundancy, then, is a fundamentaL characteristic which a designer seeks to buiLd in by using appropriate structuraL characteristics of the 'modeL" or representation which he uses for his work. But any modeL is estabLished through a process of de Limination and decomposition. FirstLy, a "Universe of Discourse" is delineated; its component eLements are then separated out; and moreover in a probabiListic framework for each eLement each possibLe state is defined and assigned an appropriate possibiLity measure caLLed probability.

Proceedings of the ISPRA-Course held at the Escuela Tecnica Superior de Ingenieros Navales, Spain, September 22-26, 1986 in collaboration with Universidad Politecnica de Madrid

Proceedings of the ISPRA-Course Held at the Joint Research Centre, Ispra, Italy, October 21-25, 1985, in Collaboration with EuReDatA