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Embry Riddle Aeronautical University

Tsunami Warning System

Abstract

dc:description.abstract

<p>The effects of a tsunami on a coastline can be devastating. In an attempt to mitigate the damages caused by tsunamis, and to provide coastal communities with evacuation alerts, it is essential to have early warning systems installed offshore. Tsunami early warning systems can detect the formation of tsunami waves long before they reach shore, providing coastal communities with information about the strength of an incoming tsunami.</p> <p>Since providing accurate information about oceanic wave patterns is absolutely necessary to forecast the magnitude of a tsunami as it forms, the focus of this research is to develop a novel approach which will predict the height and velocity of a tsunami long before it makes landfall. The research comprises of a mathematical study of how the objects under water appear would appear to any observer outside. Also included in the research is study of water surface regeneration techniques. The investigators believe that the proposed approach will provide unprecedented detail and accuracy to help forecast the magnitude of forming tsunami waves. This research will lay the groundwork for the next tsunami early warning system, which will continue to save lives in coastal communities around the world.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Electrical & Computer Engineering
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Electrical, Computer, Software, and Systems Engineering
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Desai, Amay Vijay

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/edt/298
OAI identifier oai:identifier
oai:commons.erau.edu:edt-1297

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Desai, Amay Vijay. Tsunami Warning System. Thesis - Open Access thesis, 2016. https://commons.erau.edu/edt/298