Simulating Behavioral Influences on Community Flood Risk under Future Climate Scenarios

Area of Science:

• Environmental science
• Climate change adaptation
• Computational social science

Background:

• Flood risk is influenced by both climatic factors and human behavior.
• Existing models often lack integrated human behavioral components.
• Understanding these interactions is crucial for effective flood risk management.

Purpose of the Study:

• To simulate the impact of human behavior on flood risk evolution under various climate scenarios.
• To explore the interplay between individual actions, community interventions, and climate change.
• To identify key drivers of flood risk reduction.

Main Methods:

• Utilized an agent-based model (ABM) to simulate community flood risk.
• Incorporated individual agent behaviors (mitigation, relocation) based on risk and coping perceptions.
• Simulated one historic and three future climate scenarios for Fargo, North Dakota.

Main Results:

• Agent behavior and community actions significantly influenced flood risk evolution across all scenarios.
• Individual and community mitigation efforts generally led to decreased damages.
• In high-risk scenarios, community mitigation and agent relocation were primary drivers of damage reduction.
• Adaptive behaviors partially offset climate change-induced increases in flood risk.

Conclusions:

• Human adaptive behaviors and community interventions are critical for managing flood risk.
• Relocation becomes a significant adaptive strategy under extreme climate scenarios.
• Integrated models incorporating human behavior are essential for accurate flood risk assessment and planning.