2. Materials and Methods
2.1. The RESCCUE Project
2.2. RESCCUE Goals
- Compilation, generation, and analysis of different local climate simulations to set up future climate-related scenarios in a coherent way and suitable for users’ needs.
- Improve the understanding of the effects of selected climatic drivers on the urban water cycle in each research site and identify vulnerabilities of each urban service that will lead to increased social security.
- Assess the direct impacts of these drivers on all the urban services and the cascade collateral impacts on the ones connected to them for current situation and future climate change scenarios. The impacts will be assessed in terms of hazard and risk for each analyzed urban service for the whole set of selected scenarios at each research site.
- Validate and further develop a specific existing tool and methodology (HAZUR®) to assess urban resilience with respect to different climatic pressures, based on the interaction among different urban services. Define key performance indicators (KPI) to be applied into the subsequent simulations to indicate alert levels. In addition, the improvements related to the operational performance of urban systems will be evaluated, as the urban resilience framework generated will be designed to be adapted to the operational platforms currently in use by urban operators.
- Explore and assess the economic and societal impacts of multiple feasible mitigation and adaptation measures and technologies to reduce climate change effects on the urban services and their collateral impacts. Based on the impacts evaluated on key urban services and on the needs of end users enrolled in the RESCCUE project, an inventory of the most appropriate mitigation and adaptation options with special focus on nature-based solutions will be established. The result will constitute a portfolio of validated and prioritized improving resilience strategies based on multi-criteria analysis, integrating technological and non-technological alternatives, to better cope with challenges raised by climate change.
- Elaborate a RAP for each of the case study cities, considering the inputs of all local partners and stakeholders of each site and led by the three involved local resilience offices. The civil protection and emergency sectorial plans will be analyzed to improve coordination during shocks and stresses, as these plans can benefit from RAPs inputs and vice versa.
- Build a shared awareness and perception of challenges and opportunities, to guide actions and future collaborative approaches, by engaging leading universities and research centers, local governments, large companies, SMEs, non-governmental organizations and citizens from the three research sites.
- Deliver an Exploitation and Business Plan including a detailed market assessment of the RESCCUE outputs to undertake a proper market deploy of the set of models and tools created once the project is completed.
- Dissemination and networking, in particular towards the potential users and customers. Agreements on intellectual property (IP) and exploitation rights will be signed within the consortium and, when appropriate, with external potential end users.
2.3. RESCCUE Methodology
- Detailed approach: Advanced models and tools to describe specific cascading effects produced by extreme climate events on several urban services are developed. Then, the analysis of certain impact events could be achieved via the use of loosely coupled models and tools (integrated models), using the outputs of one as inputs of the other, being able to simulate cascading effects in a detailed but simple way. In this case, adaptation strategies and measures will be proposed and prioritized based on hazard and risk reduction but, also, through multi-criteria analysis providing an overview of other kinds of co-benefits
- Holistic approach: using the resilience assessment tool (HAZUR®), the relations and the cascading effects among the different urban services can be analyzed. In this case, adaptation measures and strategies will be focused on the recovery of the normal functioning of the city and, specifically, of its strategic urban services and infrastructures. This concept will be expressed by the concept of recovery time and the efficiency of the measures and strategies, in terms of decrease of recovery
2.4. RESCCUE Research Sites
3. Expected Results
- Identification of models of the urban services in the three cities (M06)
- Definition of the framework for impact assessment (M12)
- Generation of climate simulations for the pilot cases (M18)
- Definition of resilience strategies framework and database (M18)
- Resilience Assessment with HAZUR® tool in the three cities (M18)
- Hazard assessment for extreme events (M24)
- Generation of extreme weather events (M24)
- Integration of new functionalities in HAZUR® tool (M30)
- Development of methodologies for resilience strategies (M36)
- Assessment of the impacts of climate change on urban services (M36)
- Assessment of impacts considering cascading effects (M36)
- Definition of a Resilience Action Plan for each research site (M40)
- Enhanced communication system for stakeholder participation (M48)
- Manual of best practices to prepare a RAP in any city (M48)
- Resilience Management with HAZUR® in the three cities (M48)
Conflicts of Interest
- United Nations, Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352); United Nations, Department of Economic and Social Affairs, Population Division: New York, NY, USA, 2014. [Google Scholar]
- ARUP International Development and the Rockefeller Foundation. City Resilience and the City Resilience Framework; Arup: London, UK, 2015. [Google Scholar]
- UN-Habitat, Resilience. Available online: https://unhabitat.org/urban-themes/resilience/ (accessed on 27 September 2018).
- Rockefeller Foundation, 100 Resilient Cities. Available online: http://www.100resilientcities.org/ (accessed on 27 September 2018).
- Walloth, C.; Gurr, J.M.; Schmidt, J.A. Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling; Springer International Publishing: Basel, Switzerland, 2014. [Google Scholar]
- Watts, D.; Ren, H. Classification and discussion on methods for cascading failure analysis in transmission. In Proceedings of the 2008 IEEE International Conference on Sustainable Energy Technologies, Singapore, 24–27 November 2008; pp. 1200–1205. [Google Scholar]
- Martin-Ortega, J.; Markandya, A. The Costs of Drought: the Exceptional 2007–2008 Case of Barcelona; BC3 Working Paper Series 2009-09; Basque Centre for Climate Change (BC3): Bilbao, Spain, 2009. [Google Scholar]
- Barcelona Observatory 2015 Report; Barcelona City Council and Commercial Board: Barcelona, Spain, 2015.
- Global Cities Institute & GDF Suez. Cities and Sustainable Infrastructure, GCI Policy Snapshot No. 3; Global Cities Institute & GDF Suez: Barcelona, Spain, 2015. [Google Scholar]
- Fontanals, L.; Tricàs, J.; Canalias, F.; Fontanals, I. Resiliencia territorial, vector de gestión de servicios. Estudio de Caso de la Garrotxa. Estudios Empresariales 2014, 144, 6–19. (In Spanish) [Google Scholar]
- Monjo, R.; Gaitán, E.; Pórtoles, J.; Ribalaygua, J.; Torres, L. Changes in extreme precipitation over Spain using statistical downscaling of CMIP5 projections. Int. J. Climatol. 2016, 36, 757–769. [Google Scholar] [CrossRef]
- Ribalaygua, J.; Torres, L.; Pórtoles, J.; Monjo, R.; Gaitán, E.; Pino, M.R. Description and validation of a two-step analogue/regression downscaling method. Theor. Appl. Climatol. 2013, 114, 253–269. [Google Scholar] [CrossRef]
- Evans, B.; Chen, A.S.; Prior, A.; Djordjevic, S.; Savic, D.A.; Butler, D.; Goodey, P.; Stevens, J.R.; Colclough, G. Mapping urban infrastructure interdependencies and fuzzy risks. Procedia Eng. 2018, 212, 816–823. [Google Scholar] [CrossRef][Green Version]
- Redolat, D.; Monjo, R.; Lopez-Bustins, J.A.; Martin-Vide, J. Upper-level Mediterranean oscillation index and seasonal variability of rainfall and temperature. Theor. Appl. Climatol. 2018, 133, 1–19. [Google Scholar] [CrossRef]
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