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Tsunami source inversion using genetic algorithm
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index.pdf
Date
2011
Author
Şen, Caner
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Tsunami forecasting methodology developed by the United States National Oceanic and Atmospheric Administration’s Center for Tsunami Research is based on the concept of a pre-computed tsunami database which includes tsunami model results from Mw 7.5 earthquakes called tsunami source functions. Tsunami source functions are placed along the subduction zones of the oceans of the world in several rows. Linearity of tsunami propagation in an open ocean allows scaling and/or combination of the pre-computed tsunami source functions. An offshore scenario is obtained through inverting scaled and/or combined tsunami source functions against Deep-ocean Assessment and Reporting of Tsunami (DART) buoy measurements. A graphical user interface called Genetic Algorithm for INversion (GAIN) was developed in MATLAB using general optimization toolbox to perform an inversion. The 15 November 2006 Kuril and 27 February 2010 Chile tsunamis are chosen as case studies. One and/or several DART buoy measurement(s) is/are used to test different error minimization functions with/without earthquake magnitude as constraint. The inversion results are discussed comparing the forecasting model results with the tide gage measurements.
Subject Keywords
Tsunamis.
URI
http://etd.lib.metu.edu.tr/upload/12612939/index.pdf
https://hdl.handle.net/11511/20436
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Graduate School of Natural and Applied Sciences, Thesis
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C. Şen, “Tsunami source inversion using genetic algorithm,” M.S. - Master of Science, Middle East Technical University, 2011.
