Promoting Urban Resilience Through an Integrated Advanced Decision Support System for Flood Control (URBANFLOODS)

The project focuses on enhancing urban resilience against floods by developing an integrated, advanced Decision Support System (DSS) to support local authorities in flood prevention, management, and mitigation efforts. The project targets rivers and streams close to urban areas, aiming to reduce the risks posed by climate change and rapid urbanization. With the collaboration of 11 partners from 8 countries, URBANFLOODS promotes transnational cooperation, innovative flood management solutions, and sustainable climate resilience strategies.

The project’s specific outputs include:
• Joint Development of solutions and in particular an advanced, data driven DSS that offers holistic solutions for flood management, including early warning systems and a knowledge base of transnational short-/medium-/long-term actions/measures/policy recommendations. They will be used to strengthen civil protection mechanisms by enhancing the related plans.
• Joint implementation of pilot actions in multiple pilot sites for a shared and coordinated use of data, modelling and designing early warning systems to reduce climate change risks, testing and validating the DSS in multiple sites in Adriatic – Ionian region and enhancing stakeholder engagement in flood management by raising awareness, promoting DSS acceptance, and fostering innovation through user-friendly shared and coordinated access across all pilot sites.
– Joint development and implementation of integrated transnational Strategies and Action Plans to coordinate measures of flood management by prioritizing nature-based solutions. These action plans can serve as a reference for other regions facing similar challenges.
– Strengthening the cooperation among organizations across borders as in URBANFLOODS 11 partners from 8 different countries and 11 associated partners will cooperate to achieve the project’s objectives.

Funded by Interreg VI-B IPA Adriatic Ionian Programme

Budget: €1.747.583,17

Project duration: 1/9/2024 – 31/8/2027

Scientific Coordinator: Prof. Malamati Louta