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Volume 12, issue 9
Nat. Hazards Earth Syst. Sci., 12, 2821–2842, 2012
https://doi.org/10.5194/nhess-12-2821-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Flood resilient communities – managing the consequences...

Nat. Hazards Earth Syst. Sci., 12, 2821–2842, 2012
https://doi.org/10.5194/nhess-12-2821-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Sep 2012

Research article | 12 Sep 2012

Collaborative modelling for active involvement of stakeholders in urban flood risk management

M. Evers1,*, A. Jonoski2, Č. Maksimovič3, L. Lange1,*, S. Ochoa Rodriguez3, A. Teklesadik2,*, J. Cortes Arevalo4,**, A. Almoradie2, N. Eduardo Simões3, L. Wang3, and C. Makropoulos5 M. Evers et al.
  • 1University of Wuppertal, Working Group General Geography/Human-Environment Research, Gaußstrasse 20, 42119 Wuppertal, Germany
  • 2UNESCO-IHE Delft, Department of Hydroinformatics and Knowledge Management, Westvest 7 2611 AX Delft, The Netherlands
  • 3Imperial College London, Department of Civil and Environmental Engineering, London, SW7 2AZ, UK
  • 4CNR-IRPI, National Research Institute for Geohydrological protection, Via Madonna Alta, 126 – 06128 Perugia PG Umbria, Padova, Italy
  • 5National Technical University of Athens, School of Civil Engineering, 28 Oktovriou (Patision) 42, 10682 Athens, Greece
  • *formerly at: Leuphana University of Lüneburg, Germany
  • **formerly at: UNESCO-IHE Delft, The Netherlands

Abstract. This paper presents an approach to enhance the role of local stakeholders in dealing with urban floods. The concept is based on the DIANE-CM project (Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk) of the 2nd ERANET CRUE funding initiative. The main objective of the project was to develop and test an advanced methodology for enhancing the resilience of local communities to flooding. Through collaborative modelling, a social learning process was initiated that enhances the social capacity of the stakeholders due to the interaction process. The other aim of the project was to better understand how data from hazard and vulnerability analyses and improved maps, as well as from the near real-time flood prediction, can be used to initiate a public dialogue (i.e. collaborative mapping and planning activities) in order to carry out more informed and shared decision-making processes and to enhance flood risk awareness. The concept of collaborative modelling was applied in two case studies: (1) the Cranbrook catchment in the UK, with focus on pluvial flooding; and (2) the Alster catchment in Germany, with focus on fluvial flooding. As a result of the interactive and social learning process, supported by sociotechnical instruments, an understanding of flood risk was developed amongst the stakeholders and alternatives for flood risk management for the respective case study area were jointly developed and ranked as a basis for further planning and management.

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