Tsunami warning system using of IoT
Maryam Parsi, INIOAS, Mahmood Reza Akbarpour Jannat, INIOAS · نشریه علمی پژوهشی اقیانوس شناسی · 2020
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 December 26, 2004, reminded the world of the destructive power of tsunamis.So it is essential to provide some warning system to notify people in coastal regions to start evacuation procedures, effectively reducing collateral damage.Tsunami early detection and warning systems have proved to be of utmost importance, especially after the destructive tsunami that hit Japan in March 2012.Methods: A 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 tsunamis 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 more comprehensive 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, reduce vulnerability, and minimize deaths from marine hazards. Conclusion:IoT technologies based on a much smaller network, cheaper, faster, and shorter time have become an essential part of crisis management and natural disaster management strategies.By strategically placing wireless sensor networks at critical 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 humans must use new technologies such as the Internet of Things, cloud platforms, artificial intelligence and to replace existing technologies.