Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6922441 | Computers & Geosciences | 2016 | 9 Pages |
Abstract
The result implies that the SVM tool can identify and filter out blasts and spurious events from fully automatic event solutions with a high level of accuracy. The tool helps to reduce the work-load and costs of manual seismic analysis by leaving only a small fraction of automatic event determinations, the probable earthquakes, for more detailed seismological analysis. The self-learning approach presented here is flexible and easily adjustable to the requirements of a denser or wider high-frequency network.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jari Kortström, Marja Uski, Timo Tiira,