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🌊 Digital Twins for Urban Flood Resilience

An interactive 3D flood digital twin: watch a river-valley city's sensor network, drainage capacity, and mitigation budget interact to decide where flood risk gets funded.

Hydrology3DAdvanced60 FPS

A live 3D digital twin of a river-valley city: IoT sensors report which blocks are flooding, drainage capacity and storm intensity set the water level, and a resilience budget funds flood barriers at the highest-risk locations first.

🔬 What It Demonstrates

Flood depth depends on both terrain elevation and drainage capacity, not rainfall alone. Investment is most effective when it targets blocks pre-scored as highest-risk against a reference storm — exactly how real capital-planning models prioritise limited budgets.

🎮 How to Use

Raise storm intensity and watch water rise fastest in the river valley. Increase drainage capacity to offset it. Add resilience budget to fund gold flood-barrier rings at the riskiest blocks and watch their sensors turn green even as the water keeps rising.

💡 Did You Know?

Cities such as Rotterdam and Singapore run hydraulic digital twins refreshed every few minutes from hundreds of rain and river-level sensors, letting planners test "what if" storm scenarios before they happen.

⚙ Under the hood

An interactive 3D flood digital twin: watch a river-valley city's sensor network, drainage capacity, and mitigation budget interact to decide where flood risk gets funded.

flood-riskurban-planningwater-managementsensor-networksdigital-twinclimate-resiliencehydraulic-modelingThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install