MARATTO

book chapter · Advances in computational intelligence and robotics book series

AI and IoT Integration for Natural Disaster Management

Abstract

Natural and man-made disasters have become more frequent than ever and the need for disaster preparedness has increased over the years. New technologies, such as artificial intelligence (AI) and the internet of things (IoT), have the potential to revolutionize the field of disaster risk prevention, reduction, and response. This chapter explores the potential of artificial intelligence and IoT technologies for disaster relief operations. Potential applications of these technologies in disaster response are discussed; they include the use of IoT to detect early warning signs of natural disasters, alerting populations of risks and facilitate communication between emergency responders, as well as use of AI-based systems to provide data in real time to rescue workers. The authors discuss future directions and research directions for AI and IoT-based disaster management, as well as present case studies in the context of wildfire and flooding. Finally, we conclude by highlighting the need to advance AI and IoT-based technologies for their use in disaster management.

Research topics

  • Seismology and Earthquake Studies
  • Anomaly Detection Techniques and Applications
  • Flood Risk Assessment and Management

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.4018/979-8-3693-3896-4.ch001

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.