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Flood risk management in Sint Maarten - A coupled agent-based and flood modelling method
Yared Abayneh Abebe1, Amineh Ghorbani2, Igor Nikolic2
1Environmental Engineering and Water Technology Department, IHE Delft Institute for Water Education, Westvest 7, 2601, DA, Delft, the Netherlands.
Disaster risk reduction in Sint Maarten requires considering community exposure and vulnerability. Implementing structural hazard reduction measures, like improving drainage and building dykes, is most effective for reducing flood impacts.
Area of Science:
- Environmental Science
- Urban Planning
- Disaster Management
Background:
- Small Island Developing States (SIDS) face significant disaster risks, necessitating comprehensive risk reduction strategies.
- Effective measures must integrate physical hazard assessment with community exposure and vulnerability analysis.
- Flood risk management is a critical concern for Caribbean islands like Sint Maarten.
Purpose of the Study:
- To evaluate the effectiveness of different flood risk management policies in Sint Maarten.
- To model the impact of agent behavior and policy interventions on flood risk.
- To provide data-driven insights for policymakers in disaster risk reduction.
Main Methods:
- Utilized a coupled agent-based model (ABM) and flood model simulation approach.
- ABM simulated human behavior regarding urban development and policy adoption.
- Flood model simulated coastal and pluvial flooding, incorporating agent-driven changes.
Main Results:
- Simulations revealed high population density in low-lying areas, increasing exposure and vulnerability.
- Implementing structural hazard reduction measures (e.g., drainage improvements, dykes) showed the greatest impact on reducing flooded houses.
- The Building and Housing Ordinance was identified as crucial for reducing overall household vulnerability.
Conclusions:
- Structural hazard reduction measures are paramount for mitigating flood risk in Sint Maarten.
- Policy interventions, particularly the Building and Housing Ordinance, are vital for enhancing community resilience.
- Coupled modeling provides valuable insights for informing effective disaster risk reduction policies in SIDS.
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