EGU25-15348, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15348
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Friday, 02 May, 10:45–12:30 (CEST), Display time Friday, 02 May, 08:30–12:30
 
Hall X3, X3.28
Towards an Open Online Database of Empirical Evidence of Multi-Hazard Vulnerabilty and Risk Dynamics
Philip Ward1,2, Wiebke Jäger1, Tristian Stolte1, Marleen de Rutier1, Timothy Tiggeloven1, Kelley De Polt1,3, Sophie Buijs1, Judith Claassen1, Nicole van Maanen1, Davide Ferreira4, Ngoc Diep Nguyen4, Maria Katherina Dal Barco4, Julius Schlumberger1,2, Silvia Torressan4, Rene Orth5, James Daniell6, Melanie Duncan7, and Lara Smale7
Philip Ward et al.
  • 1IVM, VU University Amsterdam, Institute for Environmental Studies, Amsterdam, Netherlands (philip.ward@vu.nl)
  • 2Department of Climate Adaptation and Disaster Risk Management, Deltares, Delft, The Netherlands
  • 3Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
  • 4Centro-Euro Mediterraneo sui Cambiamenti Climatici (CMCC), via Augusto Imperatore 16, I-73100 Lecce, Italy
  • 5Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Str. 4, 79106, Freiburg, Germany
  • 6Geophysical Institute and Center for Disaster Management and Risk Reduction Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • 7British Geological Survey (BGS), Keyworth, United Kingdom

Risk drivers, are non-static, including long-term trends as well as short-term changes. These can, for example, arise due to interactions from multiple hazards or as side-effects of risk reduction measures that address one hazard but neglect others. While dynamics of hazard and exposure and are increasingly being recognised and incorporated into (large scale) risk modelling, evidence and approaches for vulnerability dynamics are still lacking.   

Within the MYRIAD-EU project we have collected empirical evidence of dynamics of vulnerability and other risk drivers, accounting for a multi-hazard setting, and developed methods to represent them in forward-looking risk models. Here, we present a new open online database that structures this information and aims to provide a comprehensive overview of (openly available) data and methods for both researchers and practitioners. The database is designed to include a diverse range of data types and methods including qualitative as well as quantitative approaches and ranging from local to global scale. To keep the database updated and comprehensive, it has been designed as a living catalogue and invites community contributions.

We welcome feedback on the database and invite participants to suggest other datasets and methods that could be included.  

How to cite: Ward, P., Jäger, W., Stolte, T., de Rutier, M., Tiggeloven, T., De Polt, K., Buijs, S., Claassen, J., van Maanen, N., Ferreira, D., Nguyen, N. D., Dal Barco, M. K., Schlumberger, J., Torressan, S., Orth, R., Daniell, J., Duncan, M., and Smale, L.: Towards an Open Online Database of Empirical Evidence of Multi-Hazard Vulnerabilty and Risk Dynamics, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15348, https://doi.org/10.5194/egusphere-egu25-15348, 2025.