Digital Twin and natural hazard management | ||
| علوم و فناوری اطلاعات و هوشمندسازی کشاورزی | ||
| Article 1, Volume 9, Issue 1 - Serial Number 17, May 2026, Pages 12-1 PDF (866.98 K) | ||
| Document Type: Extension | ||
| DOI: 10.22092/jaist.2025.369919.1147 | ||
| Author | ||
| Abolfazl Jaafari | ||
| Abstract | ||
| This article introduces the capabilities and applications of digital twin technology in natural hazard management. A digital twin is a virtual, dynamic, and interactive representation of physical objects, processes, or environments that, through the integration of the Internet of Things, artificial intelligence, and big data, enables accurate simulation and prediction of system conditions and behaviors. Originating from NASA’s Apollo program in 1969, this technology has found novel applications in recent years across various domains, particularly in natural hazard management. Adopting a descriptive approach, the article examines key applications such as critical scenario modeling, early warning systems, real-time monitoring of vital infrastructure, emergency resource management, and immersive training. It also introduces commonly used platforms and explains the role of the Digital Twin Definition Language (DTDL) in standardizing digital twin structures and behaviors. The article further highlights existing technical and operational challenges and underscores the importance of developing supportive infrastructure, unified standards, and interdisciplinary research for the sustainable adoption of this technology. Within the Agricultural Research, Education, and Extension Organization (AREEO), digital twins can enhance natural hazard management through scenario-based research, interactive training in disaster response, and the promotion of innovative, resilient agricultural models. | ||
| Keywords | ||
| Drought; crisis management; flood; landslide; Digital Twin; simulation; wildfire | ||
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