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Reply to Wu “Comment on Regional level Forecasting of Seismic energy release by Kavitha and Raghukanth”

Reply to Wu “Comment on Regional level Forecasting of Seismic energy release by Kavitha and... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Acta Geodaetica et Geophysica" Springer Journals

Reply to Wu “Comment on Regional level Forecasting of Seismic energy release by Kavitha and Raghukanth”

"Acta Geodaetica et Geophysica" , Volume 51 (4): 3 – Dec 1, 2016

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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

References