Current systems suffer from slow identification and reaction times during catastrophic events. Reducing this latency prevents escalating infrastructure damage and loss of life.

Current monitoring and prediction systems fail to precisely identify high-risk zones and capacity limits during rapid inundation events. Resolving this allows for targeted emergency response and prevents catastrophic evacuation failures in subterranean infrastructure.

Inaccurate prediction of material needs during high-impact events leads to supply chain failure. Reducing variance in demand forecasting ensures operational continuity in extreme environments.