Prediction

📘 Research & Evidence

Tsunami prediction relies on understanding the relationship between seismic activity and ocean displacement. FEMA integrates global data sources to stay ahead of potential events in the Pacific Ocean.

• DART buoys detect seafloor pressure changes indicating tsunami waves.
• USGS Earthquake Alerts track undersea quakes near Hawaii and the Pacific Rim.
• Historical case studies like the 2011 Japan tsunami help model wave behavior.
• Forecast models simulate tsunami paths using quake magnitude and ocean depth.

In 2025, FEMA plans to deploy a new AI-powered dashboard to analyze seismic patterns and predict risk with higher accuracy.

📘 Clear Reasoning

Here’s how tsunami prediction works step-by-step:

• Detection: Earthquake sensors detect strong undersea seismic activity.
• Assessment: Quakes above 7.0 magnitude trigger tsunami risk analysis.
• Verification: Buoys confirm whether wave activity is present.
• Modeling: Software simulates wave travel and expected landfall time.
• Action: If a threat is confirmed, FEMA alerts civil defense teams immediately.

This system allowed a successful alert during the 2023 Aleutian quake, giving Hawaii residents 20 minutes to evacuate.

📘 Personal Action Plan (Prediction)