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| Titel |
Randomly distributed unit sources to enhance optimization in tsunami waveform inversion |
| VerfasserIn |
I. E. Mulia, T. Asano |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 1 ; Nr. 15, no. 1 (2015-01-30), S.187-196 |
| Datensatznummer |
250119281
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| Publikation (Nr.) |
 copernicus.org/nhess-15-187-2015.pdf |
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| Zusammenfassung |
| In tsunami waveform inversion using the conventional Green's function
technique, an optimal solution is sometimes difficult to obtain because of
various factors. This study proposes a new method to both optimize the
determination of the unknown parameters and introduce a global optimization
method for tsunami waveform inversion. We utilize a genetic algorithm that
further enhanced by a pattern search method to find an optimal distribution
of unit source locations prior to the inversion. Unlike the conventional
method that characterized by equidistant unit sources, our method generates
a random spatial distribution of unit sources inside the inverse region.
This leads to a better approximation of the initial profile of a tsunami.
The method has been tested using an artificial tsunami source with real
bathymetry data. Comparison results demonstrate that the proposed method has
considerably outperformed the conventional one in terms of model accuracy. |
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