Abstract
The paper presents an analysis of the continuous outgoing longwave radiation (OLR) based on time and space by using the wavelet-based data mining techniques. The analyzed results reveal that the anomalous variations exist prior to the earthquakes. The methods studied in this work include wavelet transformations and spatial/temporal continuity analysis of wavelet maxima. These methods have been applied to detect singularities from OLR data that correspond to seismic precursors, particularly to a comparative study of the two earthquakes of Wenchuan and Pure recently occurred in China.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | Springer |
| Number of pages | 11 |
| Publication status | Published (in print/issue) - 2009 |
| Event | HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems - Duration: 1 Jan 2009 → … |
Conference
| Conference | HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems |
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| Period | 1/01/09 → … |
Keywords
- AnomalyEarthquake Study
- Wavelet Maxima