Internet of Things and Artificial Intelligence Journal
Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]

Radar-Based Tsunami Detection: A Comprehensive Review

Adiprabowo, Tjahjo (Unknown)
Ramdani, Dani (Unknown)
Daud, Pamungkas (Unknown)
Andriana, Andriana (Unknown)
Ali, Erfansyah (Unknown)
Nasrullah, Nanang (Unknown)
Zulkarnain, Zulkarnain (Unknown)



Article Info

Publish Date
29 May 2024

Abstract

A tsunami is a large sea wave caused by an earthquake or underwater landslide. Timely detection of tsunamis is critical to saving lives and minimizing damage to infrastructure. Radar has proven to be an effective tool for tsunami detection. This comprehensive review discusses the use of radar for tsunami detection. The two types of radar discussed are HF (High Frequency) radar and DART (Deep ocean Assessment and Reporting of Tsunamis) radar. HF radar can detect tsunamis from long distances in real-time. However, HF radar is susceptible to electromagnetic interference. The DART radar is specifically designed for deep sea tsunami detection. This radar provides real-time information about tsunami waves. However, the DART radar requires expensive marine infrastructure to install and operate. This review concludes that HF radar and DART radar have their respective advantages and disadvantages. The combination of both types of radar can provide a more comprehensive solution for tsunami detection. Further research is needed to improve the reliability of radar-based tsunami detection systems.

Copyrights © 2024






Journal Info

Abbrev

iota

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Internet of Things and Artificial Intelligence Journal (IOTA) is a journal that is officially under the auspices of the Association for Scientific Computing, Electronics, and Engineering (ASCEE), Internet of Things and Artificial Intelligence Journal is a journal that focuses on the Internet of ...