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- Title
An improved supported vector regression algorithm with application to predict aftershocks.
- Authors
Wang, Maofa; Shen, J.; Pan, Z. A.; Han, D. L.
- Abstract
Nowadays, the already-existing earthquake catalogs are abundant, which can be used as the basic statistics for the research and prediction of aftershocks. There is plenty of information on the radiation of earthquake energy and the focal mechanism solution. Moreover, it contains a lot of seismic time and space correlation, most of which is hidden, unprecedented, and very hard to be described by geophysical formulas directly. Firstly, this study proposed a block supported vector regression algorithm in order to artificially study the correlation between main-shock parameters (magnitude, radiation energy, main-shock apparent stress, main-shock seismic moment, earthquake field, etc.) and aftershock parameters (magnitude, time, and space distance). Secondly, an interactive aftershock prediction software has been developed based on the C# language to conduct the research of aftershock prediction and application on real-time level.
- Subjects
EARTHQUAKE aftershocks; SPACETIME; LANGUAGE research; ALGORITHMS; EARTHQUAKES; EARTHQUAKE resistant design
- Publication
Journal of Seismology, 2019, Vol 23, Issue 5, p983
- ISSN
1383-4649
- Publication type
Article
- DOI
10.1007/s10950-019-09848-9