DYNAMO
DYNAMO is a global agent-based model (ABM; de Ruig et al., 2022; Haer et al., 2019, Tierolf et al., 2023) to assess which coastal areas will be protected against sea level rise, which areas are likely to be abandoned through migration, and which people are affected. DYNAMO couples an agent-based model to various global environmental risk models. The environmental risk model provide projections (2020-2080) of yearly flood risk, beach erosion rates and soil salinization risk for coastal communities. Based on these three risk types, the agent-based model (representing individual households and farmers) simulates individual household decisions:
stay and do nothing
adapt to risk (flood proofing homes, crop rotation, irrigation), and
migrate to safer regions.
Apart from sea level, these decisions are also influenced by socioeconomic projections (e.g., population growth). The model allows to evaluate the effect of larger scale policy measures implemented by the government such as building flood protection infrastructures (e.g., levees) and the introduction of insurance systems.
People
PIs
Developers
Contributors
Source code
You can find all model source code on GitHub.
Publications
- 1
Lars T de Ruig, Toon Haer, Hans de Moel, Samuel D Brody, WJ Wouter Botzen, Jeffrey Czajkowski, and Jeroen CJH Aerts. How the usa can benefit from risk-based premiums combined with flood protection. Nature Climate Change, pages 1–4, 2022.
- 2
Toon Haer, WJ Wouter Botzen, and Jeroen CJH Aerts. Advancing disaster policies by integrating dynamic adaptive behaviour in risk assessments using an agent-based modelling approach. Environmental Research Letters, 14(4):044022, 2019.
- 3
Lars Tierolf, Toon Haer, WJ Wouter Botzen, Jens A de Bruijn, Marijn J Ton, Lena Reimann, and Jeroen CJH Aerts. A coupled agent-based model for france for simulating adaptation and migration decisions under future coastal flood risk. Scientific Reports, 13(1):4176, 2023.