Tsunami warning system using of IoT

Parsi, Maryam; Akbarpour Jannat, Mahmood Reza

doi:10.52547/joc.11.44.1

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Volume 11, Issue 44 (2021)

2021, 11(44): 1-17

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Tsunami warning system using of IoT

Maryam Parsi

, Mahmood Reza Akbarpour Jannat

INIOAS , m.parsi@inio.ac.ir

Abstract: (8449 Views)

Background and Objectives: One third of the earth's surface is covered by water, with the oceans having the largest share. The devastating tsunami that struck Southeast Asia on 26 December 2004 reminded the world of the destructive power of tsunamis. So it is essential to provide some kind of warning system to notify people in coastal regions in order to start evacuation procedures effectively reducing collateral damage. Tsunami early detection and warning systems have proved to be of ultimate importance, especially after the destructive tsunami that hit Japan in March 2012.
Methods: An earthquake detection system & tsunami warning system (TWS) is used to detect a tsunami in advance and issue warnings to prevent loss of life and damage. The operating parts of the tsunami warning systems currently implemented in other basins are composed of three main components: a real-time seismological network for earthquake detection and characterization, a real-time sea-level network (tide gages and tsunameters) for tsunami confirmation and measurement, and tsunami warning centers for data processing and message dissemination.
Findings: Today, Early Warning System (EWS) to predict tsunami use the results of modeling and numerical simulations, tsunami gauges, seawater changes, tidal fluctuations, waveform, seismic networks, etc., which are very time-consuming and costly and their data are limited to a few points; While sending and receiving data by information technology and the Internet of Things, is much faster and more cost-effective. Also, the Capacity of data received it's much wider than the specified area and is not limited to specific points. The development and use of these systems should be part of national programs to reduce the destructive effects of disasters and reduce vulnerability and minimize deaths from marine hazards.
Conclusion: IOT technologies based on the much smaller network, cheaper, faster and shorter time have become an important part of crisis management and natural disaster management strategies. By strategically placing wireless sensor networks at key points in the sea, up-to-date data can be used to assess the location of local points during a tsunami. These data can be fed from forecasting models (based on the IoT cloud platform) and used to give early warnings of potential disasters. Modern human must new technologies such as the Internet of Things, cloud platforms, artificial intelligence, and so, replace with the existing technologies.

Keywords: Internet of Things (IoT), Tsunami, Wireless Sensor Networks, Early warning system, Time series

Full-Text [PDF 1281 kb] (4531 Downloads)

Type of Study: Review Article | Subject: Marine Technologies / Renewable Energies
Received: 2020/09/22 | Revised: 2022/07/3 | Accepted: 2020/11/29 | ePublished: 2020/12/22

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‎ 10.52547/joc.11.44.1

‎ 20.1001.1.15621057.1399.11.44.5.0

PMID: 27303602

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Parsi M, Akbarpour Jannat M R. Tsunami warning system using of IoT. Journal of Oceanography 2021; 11 (44) :1-17
URL: http://joc.inio.ac.ir/article-1-1586-en.html

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