Physics – Geophysics
Scientific paper
2005-08-22
Tectonophysics 413 (2006) 87- 91
Physics
Geophysics
13 pages, 1 figure. Submitted to Tectonophysics on 30 August 2004
Scientific paper
10.1016/j.tecto.2005.10.008
Recent studies have shown that real-valued principal component analysis can be applied to earthquake fault systems for forecasting and prediction. In addition, theoretical analysis indicates that earthquake stresses may obey a wave-like equation, having solutions with inverse frequencies for a given fault similar to those that characterize the time intervals between the largest events on the fault. It is therefore desirable to apply complex principal component analysis to develop earthquake forecast algorithms. In this paper we modify the Pattern Informatics method of earthquake forecasting to take advantage of the wave-like properties of seismic stresses and utilize the Hilbert transform to create complex eigenvectors out of measured time series. We show that Pattern Informatics analyses using complex eigenvectors create short-term forecast hot-spot maps that differ from hot-spot maps created using only real-valued data and suggest methods of analyzing the differences and calculating the information gain.
Donnellan Andrea
Holliday James R.
Klein Bill
Rundle John B.
Tiampo Kristy F.
No associations
LandOfFree
Modification of the pattern informatics method for forecasting large earthquake events using complex eigenvectors does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Modification of the pattern informatics method for forecasting large earthquake events using complex eigenvectors, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modification of the pattern informatics method for forecasting large earthquake events using complex eigenvectors will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-462727