Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-187-2015
https://doi.org/10.5194/nhess-15-187-2015
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

Related subject area

Sea, Ocean and Coastal Hazards
An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience
Chen Chen, Charles Koll, Haizhong Wang, and Michael K. Lindell
Nat. Hazards Earth Syst. Sci., 23, 733–749, https://doi.org/10.5194/nhess-23-733-2023,https://doi.org/10.5194/nhess-23-733-2023, 2023
Short summary
Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones
Ariadna Martín, Angel Amores, Alejandro Orfila, Tim Toomey, and Marta Marcos
Nat. Hazards Earth Syst. Sci., 23, 587–600, https://doi.org/10.5194/nhess-23-587-2023,https://doi.org/10.5194/nhess-23-587-2023, 2023
Short summary
Characteristics of consecutive tsunamis and resulting tsunami behaviors in southern Taiwan induced by the Hengchun earthquake doublet on 26 December 2006
An-Chi Cheng, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 23, 447–479, https://doi.org/10.5194/nhess-23-447-2023,https://doi.org/10.5194/nhess-23-447-2023, 2023
Short summary
Potential tsunami hazard of the southern Vanuatu subduction zone: tectonics, case study of the Matthew Island tsunami of 10 February 2021 and implication in regional hazard assessment
Jean Roger, Bernard Pelletier, Aditya Gusman, William Power, Xiaoming Wang, David Burbidge, and Maxime Duphil
Nat. Hazards Earth Syst. Sci., 23, 393–414, https://doi.org/10.5194/nhess-23-393-2023,https://doi.org/10.5194/nhess-23-393-2023, 2023
Short summary
Detecting anomalous sea-level states in North Sea tide gauge data using an autoassociative neural network
Kathrin Wahle, Emil V. Stanev, and Joanna Staneva
Nat. Hazards Earth Syst. Sci., 23, 415–428, https://doi.org/10.5194/nhess-23-415-2023,https://doi.org/10.5194/nhess-23-415-2023, 2023
Short summary

Cited articles

Aida, I.: Numerical estimation of a tsunami source, Zisin 2 (J. Seism. Soc. Japn.), 25, 343–352, 1972.
Amante, C. and Eakins, W.: ETOPO1 1 arc minute global relief model: procedures, data sources and analysis, NOAA technical memorandum NESDIM NGDC-24, 19 pp., 2009.
Baba, T., Cummins, P. R., and Hori, T.: Compound fault rupture during the 2004 off the Kii Peninsula earthquake (M 7.4) inferred from highly resolved coseismic sea-surface deformation, Earth Planet. Space, 57, this issue, 167–172, 2005.
Barnston, A. G.: Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score, Weather Forecast., 7, 699–709, 1992.
Costa, L., Santo, I., Denysiuk, R., and Fernandes, E. M. G. P.: Hybridization of a Genetic Algorithm with a Pattern Search Augmented Lagrangian Method, in: International Conference on Engineering Optimization, Lisbon, Portugal, 6– 9 September , 2010.
Download
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.
Altmetrics
Final-revised paper
Preprint