AI simulation shows impact of Mount Fuji eruption on Tokyo city
By David Bressan | 2 min read
AI-driven simulations model how Mount Fuji's eruption could affect Tokyo's air quality, traffic, and economy. The article shows a digital-twin approach that enables rapid scenario testing for urban resilience. It highlights potential ash dispersal, transit disruptions, and cascading outages across critical infrastructure. The analysis argues that integrating AI-based hazard models can sharpen disaster-preparedness planning. Taken together, the findings illustrate how granular data and AI can inform proactive response strategies.
