Probability Gain From Seismicity-Based Earthquake Models

Tiampo, K. F.; Shcherbakov, R.; Kovacs, Paul

doi:10.1016/b978-0-12-804071-3.00007-0

Cited by 1 publication

(2 citation statements)

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“…The number of seismic events and corresponding magnitudes in the research area are shown in table 3. The value of k is fixed between [1,5] for experimentation to find the best sparsity level. Figure 9 shows F1 in the classification results under different values of k, and it can be seen that the best classification performance of the detection model is achieved with k = 3.…”

Section: Description Of Experiments Datamentioning

confidence: 99%

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A pre-seismic anomaly detection approach based on graph attention isomorphism network

Huang,

Shi,

Zhu

et al. 2023

Meas. Sci. Technol.

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Pre-seismic anomaly detection plays a crucial role in reducing economic losses and casualties caused by earthquakes. This paper proposes a novel four-step pre-seismic anomaly detection approach. In the first step, a series of pre-seismic features are extracted by analyzing the earthquake catalog and geomagnetic signals. In the second step, the multi-view learning (MVL) strategy is employed to obtain the fusion features. In the third step, multiple seismic stations in one seismic zone are treated as a seismic station network, and a pre-seismic anomaly detection model is constructed based on the station network. In the final step, 4 evaluation indicators (EIs) are introduced to evaluate the detection results comprehensively. Verification results show the proposed method is effective and achieves a better performance than other existing methods.

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Section: Description Of Experiments Datamentioning

confidence: 99%

“…Generally, SFSs encompass two main research areas [5,6]: (1) long-term seismic forecasting and (2) short-term seismic forecasting. Long-term seismic forecasting involves predicting regions where destructive earthquakes may occur in the coming years or decades, and there have been numerous successful cases [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%