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References (5)
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N. Huang, Zheng Shen, S. Long, Manli Wu, Hsing Shih, Q. Zheng, N. Yen, C. Tung, Henry Liu (1998)
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisProceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454
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Minimum Magnitude of Completeness in Earthquake Catalogs: Examples from Alaska, the Western United States, and JapanBulletin of the Seismological Society of America, 90
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Wen-Nan Wu (2016)
Comment on the paper by Kavitha and Raghukanth, “Regional level forecasting of seismic energy release”Acta Geodaetica et Geophysica, 51
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B. Kavitha, S. Raghukanth (2016)
Regional level forecasting of seismic energy releaseActa Geodaetica et Geophysica, 51
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R. Iyengar, S. Kanth (2005)
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- Publisher
- Springer Journals
- Copyright
- 2015 Akadémiai Kiadó
- ISSN
- 2213-5812
- eISSN
- 2213-5820
- DOI
- 10.1007/s40328-015-0156-y
- Publisher site
- See Article on Publisher Site
Abstract
Abstract Kavitha and Raghukanth (doi:10.1007/s40328-015-0131-7, 2015) have developed an algorithm to forecast earthquake energy for a given seismogenic zone. The forecasting strategy is based on empirical mode decomposition and nonlinear regression analysis. The proposed algorithm has been validated with independent subset of seismicity data. Wu (Acta Geod Geophys 2015) has raised concern about the uncertainties and the input seismicity data used to develop the model. This article discusses the problems associated with the modelling of the seismic energy at regional level.
Journal
"Acta Geodaetica et Geophysica" – Springer Journals
Published: Dec 1, 2016