Detecting fluid signals in seismicity data through statistical earthquake modeling
By Sebastian Hainzl, Yosihiko Ogata. 2005
326 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics
View Paper: https://www.semanticscholar.org/paper/9fd06abc136bd0aec6ba0893c5eefcd5f1f1ef12
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- M. Ishii
- Zhigang Peng
- J. Vidale
- Sebastian Hainzl
- Agnes Helmstetter
- Joachim Wassermann
- Heiner Igel
- Yosihiko Ogata
In Geophysics
- Zhigang Peng
- M. Ishii
- J. Vidale
- Sebastian Hainzl
- Agnes Helmstetter
- Joachim Wassermann
- Heiner Igel
- Yosihiko Ogata
Citations in the corpus
- Evidence for rainfall‐triggered earthquake activity (2006, background): “swarm activity and can even dominate it [Hainzl and Ogata, 2005].”
- Seismicity rate immediately before and after main shock rupture from high-frequency waveforms in Japan (2007, background): “, 2004], and sometimes a combination of these candidates [Hainzl and Ogata, 2005].”
- Introduction to special section: Stress transfer, earthquake triggering, and time‐dependent seismic hazard (2005, unknown): “…quiescence [Ogata, 2001; Ogata et al., 2003; Ogata, 2005], to investigate the relative role of fluids and stress transfer in earthquake swarms [Hainzl and Ogata, 2005] and to support the idea that earthquake triggering occurs at all scales and hence there is no mechanistic differences between…”