Abstract
As the most destructive natural disaster, earthquake may cause catastrophic demolition which leads to devastating outcomes. Earthquake’s hypocenter is a point associated with spatial footprint, occurrence time, and magnitude. Open source point process modeling is adopted to detect the possible interactions among earthquakes with spatial features, temporal characteristics and effect of the other covariates. Integration of geologic variables in the point process models is suggested for the investigation of the magnitude 6.1 earthquake and the aftershocks occurred on Jun 30, 1975 in Yellowstone National Park. A Multitype Strauss Process Model is utilized, and it successfully captures the spatial pattern of epicenters under the effect of interaction radii among different types of earthquakes. In addition, the distance to faults and earthquake focal depths are implemented as the geologic variables in explaining the seismic pattern.
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References
Jackson, J.A. (ed.): Glossary of Geology: Alexandria, Virginia. American Geological Institute, 769 (1997)
Baddeley, A., Turner, R.: Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12(6), 1–42 (2005)
Cui, P., Chen, X.-Q., Zhu, Y.-Y., Su, F.-H., Wei, F.-Q., Han, Y.-S., Liu, H.-J., Zhuang, J.-Q.: The Wenchuan Earthquake (May 12, 2008), Sichuan Province, China, and resulting geohazards. Natural Hazards 56(1), 19–36 (2011)
Hoshiba, M., Iwakiri, K.: Initial 30 seconds of the 2011 off the Pacific coast of Tohoku Earthquake (Mw 9.0)—amplitude and Tc for magnitude estimation for Earthquake Early Warning—. Earth Planets Space 63, 553–557 (2011)
Ogata, Y.: Space-time point-process models for earthquake occurrences. Annals of the Institute of Statistical Mathematics 50(2), 379–402 (1998)
Gutenberg, B., Richter, C.F.: Seismicity of the Earth and Associated Phenomena, 2nd edn., pp. 17–19. Princeton University Press, Princeton (1954)
Omori, F.: On the aftershocks of earthquakes. The Journal of the College of Science, Imperial University of Tokyo 7, 111–120 (1894)
Anwar, S.: Implementation of Strauss point process model to earthquake data. M.Sc. Thesis, University of Twenty, Enschede, p. 47 (2009)
Enescu, B., Hainzl, S., Ben-Zion, Y.: Correlations of seismicity patterns in southern California with surface heat flow data. The Bulletin of the Seismological Society of America 99(6), 3114–3123 (2009)
Baddeley, A.: Analysing spatial point patterns in R. Workshop notes. Version 4.1. CSIRO online technical publication (2010)
Rubeis, D.: Space-time combined correlation between earthquakes and a new, self-consistent definition of aftershocks. In: Modeling Critical and Catastrophic Phenomena in Geoscience Lecture Notes in Physics, vol. 705, pp. 259–279 (2006)
Chang, W.-L., Smith, R.B., Farrell, J., Puskas, C.M.: An extraordinary episode of Yellowstone caldera uplift, 2004–2010, from GPS and InSAR observations. Geophysical Research Letters 37(23), 6–11 (2010)
Smith, R.B., Arabasz, W.J.: Seismicity of the Intermountain Seismic Belt, Neotectonics of North America. Geological Society of America, Decade Map 1, 185–228 (1991)
Pitt, M.A., Weaver, C.S., Spence, W.: The Yellowstone Park earthquake of June 30, 1975. Bulletin of the Seismological Society of America 69(1), 187–205 (1979)
Isham, V.S.: Multitype Markov point processes: some approximations. Proceedings of the Royal Society of London, Series A 391, 39–53 (1984)
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Ye, X., Yu, J., Wu, L., Li, S., Li, J. (2015). Open Source Point Process Modeling of Earthquake. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_54
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DOI: https://doi.org/10.1007/978-3-662-45737-5_54
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