Cascade Detection Engine
Explore possible secondary hazards
Literature-informed cascade scenarios use heuristic weights. They are not calibrated probabilities or official warnings.
How It Works
From raw data to risk intelligence
Monitor
The collector polls enabled, configured sources. Freshness, errors and empty responses are reported separately.
Analyze
Trigger conditions and model-defined weights are applied to the recorded event characteristics.
Assess
The model links possible secondary scenarios across up to three levels. A modeled chain does not establish that those events occurred.
Cascade Families
Six categories of hazard interaction
Seismic Cascades
5 interactions- Tsunami
- Landslide
- Liquefaction
- Volcanic unrest
- Dam risk
Volcanic Cascades
2 interactions- Lahar
- Volcanic tsunami
Fire Cascades
2 interactions- Debris flow
- Air quality emergency
Cyclonic Cascades
2 interactions- Flooding
- Tornado outbreak
Hydrological Cascades
4 interactions- Disease outbreak
- Coastal evacuation
- River blockage
- Infrastructure damage
Space & Systemic Cascades
5 interactions- Infrastructure disruption
- Health crisis
- Spread acceleration
- Evacuation
Spatial & Temporal Decay
How distance and time shape risk
Spatial decay
Distance attenuates scenario weights according to heuristic rules. This does not establish the probability or location of a secondary event.
Temporal decay
Time windows and decay rules limit how long a scenario contributes to the index. Expiry is not proof that a hazard has ended.
Chain Analysis
Multi-level cascade propagation
Cascade detection goes beyond direct cause-and-effect. When an earthquake triggers a tsunami, the system then evaluates whether that tsunami could cause coastal flooding or infrastructure damage, building a chain of assessed hazard risks up to three levels deep.
Scientific Foundation
Research background
Gill, J.C. & Malamud, B.D. (2014)
Reviewing and visualizing the interactions of natural hazards.
Reviews of Geophysics, 52(4), 680-722.
Framework for multi-hazard interaction classification
Kappes, M.S., Keiler, M., von Elverfeldt, K. & Glade, T. (2012)
Challenges of analyzing multi-hazard risk: a review.
Natural Hazards, 64(2), 1925-1958.
Multi-hazard risk assessment methodology
Pescaroli, G. & Alexander, D. (2018)
Understanding compound, interconnected, interacting, and cascading risks: a holistic framework.
Risk Analysis, 38(11), 2245-2257.
Cascading and compound risk analysis framework
See cascade detection in action
Open the live map to see real-time cascade alerts across the globe.
Open Live Map