Early warning systems are critical to ensuring the local residents can either evacuate or prepare for an imminent disaster. They work by first analyzing historical data and mapping potential threats, before gathering real-time data to assess the likelihood and severity of threats-
Specific indicators (e.g., rainfall levels, inflation rates) are established, and if these thresholds are crossed, the authorities are alerted. The public are then given clear warnings, avoiding technical jargon across various platforms to maximize reach.
These systems are being improved and expanded through artificial intelligence (AI) and machine learning. AI-driven systems not only analyze large datasets from sensors and historical records to identify early signs of disasters, but they can also process social media, weather reports, and other real-time sources to quickly assess the potential impact, helping authorities prioritize resources and evacuations.