Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management (DIANE-CM)

Description:

Due to climate change the flood risk in several regions will rise. Corresponding flood risk awareness and according adaptation as well as management strategies against flooding seem essential. Consequently, the main objective of the DIANE-CM project is to investigate if and how flood risk awareness could be enhanced through collaborative modelling and the initiation of social learning in urban areas.The second aim of DIANE-CM is a better understanding how data from hazard and vulnerability analyses and improved maps as well as the near real time flood prediction can be used to initiate a public dialogue. Finally DIANE-CM should improve the options of agreed measures.This process will be initiated in two test side areas in Germany and the United Kingdom – the River Alster (Hamburg) and the River Roding (Redbridge near London). Subsequent to the successful accomplishment of the DIANE-CM project this approach could be replicated in other communities in Europe and beyond.On the local scale cooperative processes will be initiated, which shall enhance the capacity of the stakeholders to cope with flood risk due to the intensive interaction with experts and based on assistance of interactive web platforms. The results of these cooperative working processes are an important contribution to the compilation of the official flood risk management plans for the River Alster respectively the River Roding.

Project information

Lead

Leuphana University of Lueneburg

Partners

Project Participants: Leuphana University of Lueneburg (Project Coordination), Imperial College London (United Kingdom) und UNESCO-IHE in Delft (The Netherlands) Technical Partner Hamburg: Agency for Roads, Bridges and Waters Germany (LSBG)

Source of funding

EU Programme ERA-NET CRUE / Ministry for Education and Research (BMBF)