THESEUS decision support system for coastal risk management |
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| Institution: | 1. University of Bologna, Italy;2. GeoGraphics S.r.l., Ferrara, Italy;3. University of Plymouth, United Kingdom;4. University of Southampton, United Kingdom;1. Guy Carpenter Asia-Pacific Climate Impact Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong Special Administrative Region;2. Department of Civil and Environmental Engineering, Princeton University, USA;1. Athens University of Economics and Business-Research Centre, 76, Patission Str., 10434 Athens, Greece;2. Department of Psychology, Alma Mater Studiorum — Università di Bologna, via Filippo Re 6, 40126 Bologna, Italy;3. Instituto de Hidráulica Ambiental “IH Cantabria”, Universidad de Cantabria, Avda. de los Castros s/n, Santander 39005, Spain;4. Cultures, Environments, Arctic, Representations, Climate (CEARC) , University Versailles Saint Quentin en Yvelines ,11 boulevard d''Alembert, 78280 Guyancourt Cedex, France;5. Centre for Expertise and Engineering on Risks, Urban and Country Planning, Environment and Mobility (CEREMA) - 134 Rue de Beauvais CS 60039, 60280 Margny-les-Compiègne, France;6. Middlesex University, School of Health and Social Sciences, Flood Hazard Research Centre, Queensway, Enfield, Middlesex EN3 4SA, UK;7. London School of Economics and Political Science, Grantham Research Institute on Climate Change and the Environment, United Kingdom |
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| Abstract: | While planning coastal risk management strategies, coastal managers need to assess risk across a range of spatial and temporal scales. GIS-based tools are one efficient way to support them in the decision making process through a scenarios analysis starting from social, economic and environmental information integrated into a common platform. However, this integration process requires a significant effort from a team of scientists in terms of a) identifying the appropriate scales and data resolution for analysing social, environmental and economic issues; b) selecting and linking an appropriate set of tools to build a coupled model; c) representing key emerging (and hence challenging) research issues, such as risk perception and social resilience in the model; d) developing multi-criteria analysis to integrate social, environmental, economic impacts; and e) accounting for the expectations of the stakeholders and therefore optimizing the opportunity for them to interact with the tool development and with the final tool itself.In this spirit, this paper presents an open-source Spatial Decision Support System developed within the THESEUS Project to help decision makers to scopeg optimal strategies to minimise coastal risks. The exploratory tool allows the users to perform an integrated coastal risk assessment, to analyse the effects of different combinations of engineering, social, economic and ecologically based mitigation options, across short (2020s), medium (2050s) and long-term (2080s) scenarios, taking into account physical and non-physical drivers, such as climate change, subsidence, population and economic growth. |
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