The world today faces enormous challenges in redesigning and rebuilding water systems, wastewater plants and infrastructure in general. Major investment is required to renew and upgrade these aging systems to adopt for rapidly growing population, whose future is affected by uncertain changing climate and natural disasters (e.g. earthquakes). Over the last few decades we have been witnessing many catastrophic hazardous events (e.g. floods, droughts) that have considerably exceeded the largest foreseen events and caused billions in damage. For example, floods in Europe have affected more than 1,100 fatalities and 3 million people in the period 1998-2009, with direct lost estimated as EUR 60 billion. The European Commission has estimated that, at least 17 % of its territory have been affected by water scarcity to date and put the cost of droughts in Europe over the past thirty years at EUR 100 billion. In addition, it has been estimated that earthquakes are responsible for about 35% of the economic losses generated by natural disasters.
To manage impacts of natural disasters we propose the use of system approach to enhance the predictive power in resilience assessment of water, environment, and infrastructure systems beyond the largest recorded events. The main objective of the proposed research is the development of a modelling framework for dynamic resilience assessment. The traditional risk-based approach and use of standards will be replaced with a quantitative assessment of the dynamic resilience. By developing a novel framework, the research therefore makes a context introducing a dynamic resilience as a measure for risk assessment. In this context, the research will provide the generic methodology and tools for hydroenergy, infrastructure, and environmental dynamic resilience assessment. This framework offers an opportunity for highlighting the role of using multi-model simulations which will support the estimation of dynamic resilience. It will underpin investment decisions within the different sectors (e.g. water, hydroenergy, environmental sectors) for adaptation schemes under the uncertain changes in our environment (e.g. variable climate, natural disasters).