Institute of River and Coastal Engineering

Will enable widespread implementation of local adaption measures that mitigate flood risk

MARE will provide tools, approaches, experience and a policy framework for decision making on investments involving safety of people and assets at urban level. Its niche is the development of a transnational management approach to act against flood risk at urban level in the context of national FD implementation processes – but beyond FD requirements. The core of MARE is the development and demonstration of urban FRM plans in a cooperation between local to national authorities from various countries. A shared approach will build upon Interreg IIIB tools, customized for urban FR analysis and socio-economic evaluation of FRM options. FRM plans will be developed in 4 cities across the North Sea Region (NSR) that face different types of flood risk.

MARE will result in a validated transnational methodology applicable in most urban environments. The involvement of policy-makers throughout the project ensures results are used in regional and national implementation trajectories, strengthening the basis for shared policy in the NSR. To achieve this, MARE has created Learning and Action Alliances in the Netherlands, the United Kingdom, Germany

and Norway. These vertical, open partnerships consist of cities, regional bodies such as provinces, national authorities and relevant academic and private partners and are horizontally linked. The LAAs,

with the cities Dordrecht (NL), Sheffield (UK), Hannover (D) and Bergen (N) at the cores, include 15 beneficiaries but involve many more partners.

Tasks of the Institute of River & Coastal Engineering:

• Coordinate the activities of MARE with the SAWA project and to develop synergies between them.

   

• Providing learning material and tools developed within SAWA to the MARE partners (especially Hannover and Dordrecht). Support them in their application

• Extend the decision support tool KALYPSO Planer-Client by a better user-interface which allows its application in LAAs