EGU23-1658
https://doi.org/10.5194/egusphere-egu23-1658
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Exploring disaster risk management pathways in complex, multi-risk systems using DAPP-MR

Julius Schlumberger1,2, Marjolijn Haasnoot1, Jeroen Aerts2, and Marleen de Ruiter2
Julius Schlumberger et al.
  • 1Deltares, Flood Risk Management, Delft, Netherlands (julius.schlumberger@deltares.nl)
  • 2Vrije Universiteit Amsterdam, Water and Climate Risk, Amsterdam, Netherlands (j.schlumberger@vu.nl)

Climate change and socioeconomic developments are driving risks from natural hazards and thus determine the effectiveness and efficiency for disaster risk management strategies. With DAPP-MR, an approach to apply a decision-focused lens, and a longer-term planning perspective in multi-risk systems has been recently developed. DAPP-MR  guides the exploration of disaster risk management pathways under uncertainty while explicitly accounting for trade-offs and synergies of policy measures across (interconnected) sectors, hazards, and time.

This work provides a first insight into the utility of the DAPP-MR framework to support disaster risk management decision making in the complex context of multi-hazard, multi-stakeholder settings. We used an integrated impact assessment modelling environment to assess (multi-)hazard impacts in a synthetic river basin, capturing interests and dynamics of three sectors (agriculture, inland shipping, residential housing) exposed to interacting flood and drought-hazards. We showcase (interactive) methods and metrics for the analysis and evaluation of potential risk management pathways. They were selected to deal with the increasingly multi-objective set-up in multi-risk systems  explicitly capturing and explore effects from integrating measures directed towards different hazards and sectors.

How to cite: Schlumberger, J., Haasnoot, M., Aerts, J., and de Ruiter, M.: Exploring disaster risk management pathways in complex, multi-risk systems using DAPP-MR, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-1658, https://doi.org/10.5194/egusphere-egu23-1658, 2023.