Articles | Volume 15, issue 1
Research article
30 Jan 2015
Research article |  | 30 Jan 2015

Randomly distributed unit sources to enhance optimization in tsunami waveform inversion

I. E. Mulia and T. Asano

Abstract. 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.

Short summary
In this study, we discuss the development of global stochastic search algorithms to enhance the accuracy of tsunami waveform inversion. Such methods are utilized to search for an optimum spatial distribution of unit sources prior to the inversion. The optimized location of unit sources possessing random characteristics facilitate the traditional least squares inversion to produce a more precise approximation of the sea surface deformation.
Final-revised paper