Articles | Volume 13, issue 12
https://doi.org/10.5194/gmd-13-6361-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-6361-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
18 Dec 2020
Model evaluation paper |
| 18 Dec 2020
| 18 Dec 2020
Synthetic seismicity distribution in Guerrero–Oaxaca subduction zone, Mexico, and its implications on the role of asperities in Gutenberg–Richter law
Marisol Monterrubio-Velasco
CORRESPONDING AUTHOR
Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Jordi Girona 29, 08034 Barcelona, Spain
F. Ramón Zúñiga
Universidad Nacional Autónoma de México, Centro de Geociencias, Juriquilla, Querétaro, 76226, Mexico
Quetzalcoatl Rodríguez-Pérez
Universidad Nacional Autónoma de México, Centro de Geociencias, Juriquilla, Querétaro, 76226, Mexico
Consejo Nacional de Ciencia y Tecnología, Mexico City, 03940, Mexico
Otilio Rojas
Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Jordi Girona 29, 08034 Barcelona, Spain
Escuela de Computación, Facultad de Ciencias, Universidad Central de Venezuela, Caracas, 1040, Venezuela
Armando Aguilar-Meléndez
Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Jordi Girona 29, 08034 Barcelona, Spain
Facultad de Ingeniería Civil,Universidad Veracruzana, Poza Rica, Veracruz, 93390, Mexico
Josep de la Puente
Barcelona Supercomputing Center – Centro Nacional de Supercomputación, Jordi Girona 29, 08034 Barcelona, Spain
Related authors
Marisol Monterrubio-Velasco, Xavier Lana, and Raúl Arámbula-Mendoza
Nonlin. Processes Geophys., 31, 449–461, https://doi.org/10.5194/npg-31-449-2024, https://doi.org/10.5194/npg-31-449-2024, 2024
Short summary
Short summary
Understanding volcanic activity is crucial for uncovering the fundamental physical mechanisms governing this natural phenomenon. In this study, we show the application of multifractal and statistical analysis to investigate changes associated with volcanic activity. We aim to identify significant variations within the physical processes related to changes in volcanic activity. These methodologies offer the potential to identify pertinent changes preceding a high-energy explosion.
Marisol Monterrubio-Velasco, Xavier Lana, and Raúl Arámbula-Mendoza
Nonlin. Processes Geophys., 30, 571–583, https://doi.org/10.5194/npg-30-571-2023, https://doi.org/10.5194/npg-30-571-2023, 2023
Short summary
Short summary
Effusive–explosive volcanic energy emissions are a complex and dynamic physical phenomenon. The complexity of this process for the Volcán de Colima along the years 2013–2015 is analysed by means of the reconstruction theorem being determined by the persistence, complexity and “loss of memory” of the physical mechanism. The results suggest that appropriate forecasting algorithms could be applied to determine forthcoming high-energy emissions.
Marisol Monterrubio-Velasco, Xavier Lana, and Raúl Arámbula-Mendoza
Nonlin. Processes Geophys., 31, 449–461, https://doi.org/10.5194/npg-31-449-2024, https://doi.org/10.5194/npg-31-449-2024, 2024
Short summary
Short summary
Understanding volcanic activity is crucial for uncovering the fundamental physical mechanisms governing this natural phenomenon. In this study, we show the application of multifractal and statistical analysis to investigate changes associated with volcanic activity. We aim to identify significant variations within the physical processes related to changes in volcanic activity. These methodologies offer the potential to identify pertinent changes preceding a high-energy explosion.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-92, https://doi.org/10.5194/nhess-2024-92, 2024
Preprint withdrawn
Short summary
Short summary
Seismic intensity reflects earthquake damage, although this parameter is often subjective. On the other hand, peak acceleration values are a direct measure of earthquake effects. Seismic intensity was used to describe historical earthquakes, and its use is rare today. For this reason, it is important to have a relationship between these parameters of strong movements in order to predict the acceleration of historical earthquakes.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Solid Earth, 15, 229–249, https://doi.org/10.5194/se-15-229-2024, https://doi.org/10.5194/se-15-229-2024, 2024
Short summary
Short summary
The behavior of seismic energy parameters and their possible dependence on the type of fault for globally detected earthquakes were studied. For this purpose, different energy estimation methods were used. Equations were obtained to convert energies obtained in different ways. The dependence of the seismic energy on the focal mechanism was confirmed up to depths close to 180 km. The results will help to explain the seismic rupture of earthquakes generated at greater depth.
Carlos Spa, Otilio Rojas, and Josep de la Puente
Geosci. Model Dev., 16, 7237–7252, https://doi.org/10.5194/gmd-16-7237-2023, https://doi.org/10.5194/gmd-16-7237-2023, 2023
Short summary
Short summary
This paper develops a calibration methodology of all absorbing techniques typically used by Fourier pseudo-spectral time-domain (PSTD) methods for geoacoustic wave simulations. The main contributions of the paper are (a) an implementation and quantitative comparison of all absorbing techniques available for PSTD methods through a simple and robust numerical experiment, and (b) a validation of these absorbing techniques in several 3-D seismic scenarios with gradual heterogeneity complexities.
Marisol Monterrubio-Velasco, Xavier Lana, and Raúl Arámbula-Mendoza
Nonlin. Processes Geophys., 30, 571–583, https://doi.org/10.5194/npg-30-571-2023, https://doi.org/10.5194/npg-30-571-2023, 2023
Short summary
Short summary
Effusive–explosive volcanic energy emissions are a complex and dynamic physical phenomenon. The complexity of this process for the Volcán de Colima along the years 2013–2015 is analysed by means of the reconstruction theorem being determined by the persistence, complexity and “loss of memory” of the physical mechanism. The results suggest that appropriate forecasting algorithms could be applied to determine forthcoming high-energy emissions.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Earth Syst. Sci. Data, 15, 4781–4801, https://doi.org/10.5194/essd-15-4781-2023, https://doi.org/10.5194/essd-15-4781-2023, 2023
Short summary
Short summary
We present a comprehensive catalog of focal mechanisms for earthquakes in Mexico and neighboring areas spanning February 1928 to July 2022. The catalog comprises a wide range of earthquake magnitudes and depths and includes data from diverse geological environments. We collected and revised focal mechanism data from various sources and methods. The catalog is a valuable resource for future studies on earthquake source mechanisms, tectonics, and seismic hazard in the region.
Raphael S. M. De Plaen, Víctor Hugo Márquez-Ramírez, Xyoli Pérez-Campos, F. Ramón Zuñiga, Quetzalcoatl Rodríguez-Pérez, Juan Martín Gómez González, and Lucia Capra
Solid Earth, 12, 713–724, https://doi.org/10.5194/se-12-713-2021, https://doi.org/10.5194/se-12-713-2021, 2021
Short summary
Short summary
COVID-19 pandemic lockdowns in countries with a dominant informal economy have been a greater challenge than in other places. This motivated the monitoring of the mobility of populations with seismic noise throughout the various phases of lockdown and in the city of Querétaro (central Mexico). Our results emphasize the benefit of densifying urban seismic networks, even with low-cost instruments, to observe variations in mobility at the city scale over exclusively relying on mobile technology.
Cited articles
Aki, K. and Richards, P. G.: Quantitative seismology, University Science Books, ISBN 0935702962, 2002. a
Blaser, L., Krüger, F., Ohrnberger, M., and Scherbaum, F.: Scaling
relations of earthquake source parameter estimates with special focus on
subduction environment, Bull. Seismol. Soc. Am.,
100, 2914–2926, 2010. a
Console, R., Carluccio, R., Papadimitriou, E., and Karakostas, V.: Synthetic
earthquake catalogs simulating seismic activity in the Corinth Gulf, Greece,
fault system, J. Geophys. Res.-Sol. Ea., 120, 326–343,
2015. a
Cornell, C. A.: Engineering seismic risk analysis, Bull. Seismol. Soc. Am., 58, 1583–1606, 1968. a
Dahmen, K., Fisher, D., Ben-Zion, Y., Ertas, D., and Ramanathan, S.:
Gutenberg-Richter and characteristic earthquake behavior in Simple Models of
Heterogeneous Faults, in: AGU Spring Meeting Abstracts, 10–14 December 2001, San Francisco, USA, 2001. a
Dalguer, L. A., Miyake, H., and Irikura, K.: Characterization of dynamic
asperity source models for simulating strong ground motion, in: Proceedings
of the 13th World Conference on Earthquake Engineering, 1–6 August 2004, Vancouver, B.C., Canada, 3286, 2004. a
Evernden, J.: Study of regional seismicity and associated problems, Bull. Seismol. Soc. Am., 60, 393–446, 1970. a
Hansen, A., Hemmer, P. C., and Pradhan, S.: The fiber bundle model: modeling
failure in materials, John Wiley & Sons, 2015. a
Heimpel, M. H.: Characteristic scales of earthquake rupture from numerical models, Nonlin. Processes Geophys., 10, 573–584, https://doi.org/10.5194/npg-10-573-2003, 2003. a, b, c
Lay, T., Kanamori, H., and Ruff, L.: The asperity model and the nature of large subduction zone earthquakes, Earthquake Prediction Research 1, Terra Scientific Publishing Company (Terrapub), Tokyo, Japan, 3–71, 1982. a
Lomnitz-Adler, J.: Asperity models and characteristic earthquakes, Geophys. J. Int., 83, 435–450, 1985. a
Mai, P. M. and Beroza, G. C.: Source scaling properties from
finite-fault-rupture models, Bull. Seismol. Soc. Am., 90, 604–615, 2000. a
Mai, P. M., Spudich, P., and Boatwright, J.: Hypocenter locations in
finite-source rupture models, Bull. Seismol. Soc. Am., 95, 965–980, 2005. a
Monterrubio-Velasco, M.: TREMOL_singlets, GitHub, available at: https://github.com/monterrubio-velasco/TREMOL_singlets/tree/TREMOL_singlets_SUB3study, last access: 17 December 2020. a
Monterrubio-Velasco, M., Rodríguez-Pérez, Q., Zúñiga, R., Scholz, D., Aguilar-Meléndez, A., and de la Puente, J.: A stochastic rupture earthquake code based on the fiber bundle model (TREMOL v0.1): application to Mexican subduction earthquakes, Geosci. Model Dev., 12, 1809–1831, https://doi.org/10.5194/gmd-12-1809-2019, 2019a. a, b, c, d, e, f
Monterrubio-Velasco, M., Zúñiga, F. R., Carrasco-Jiménez, J. C., Márquez-Ramírez, V., and de la Puente, J.: Modeling active fault systems and seismic events by using a fiber bundle model – example case: the Northridge aftershock sequence, Solid Earth, 10, 1519–1540, https://doi.org/10.5194/se-10-1519-2019, 2019b. a
Murotani, S., Miyake, H., and Koketsu, K.: Scaling of characterized slip models for plate-boundary earthquakes, Earth Planet. space, 60, 987–991, 2008. a
Ozturk, S.: Statistical correlation between b-value and fractal dimension
regarding Turkish epicentre distribution, Earth Sci. Res. J., 16, 103–108, 2012. a
Parsons, T. and Geist, E. L.: Is there a basis for preferring characteristic
earthquakes over a Gutenberg–Richter distribution in probabilistic
earthquake forecasting?, Bull. Seismol. Soc. Am.,
99, 2012–2019, 2009. a
Pradhan, S., Hansen, A., and Chakrabarti, B. K.: Failure processes in elastic
fiber bundles, Rev. Modern Phys., 82, 499–555, 2010. a
Ruff, L. J.: Asperity distributions and large earthquake occurrence in
subduction zones, Tectonophysics, 211, 61–83, 1992. a
Singh, S., Rodriguez, M., and Esteva, L.: Statistics of small earthquakes and
frequency of occurrence of large earthquakes along the Mexican subduction
zone, Bull. Seismol. Soc. Am., 73, 1779–1796, 1983. a
Somerville, P., Irikura, K., Graves, R., Sawada, S., Wald, D., Abrahamson, N.,
Iwasaki, Y., Kagawa, T., Smith, N., and Kowada, A.: Characterizing crustal
earthquake slip models for the prediction of strong ground motion,
Seismol. Res. Lett., 70, 59–80, 1999a. a
Stirling, M. W., Wesnousky, S. G., and Shimazaki, K.: Fault trace complexity,
cumulative slip, and the shape of the magnitude-frequency distribution for
strike-slip faults: A global survey, Geophys. J. Int., 124,
833–868, 1996. a
Strasser, F. O., Arango, M., and Bommer, J. J.: Scaling of the source
dimensions of interface and intraslab subduction-zone earthquakes with moment
magnitude, Seismol. Res. Lett., 81, 941–950, 2010. a
Tejedor, A., Gómez, J. B., and Pacheco, A. F.: Earthquake size-frequency
statistics in a forest-fire model of individual faults, Phys. Rev. E,
79, 046102, https://doi.org/10.1103/PhysRevE.79.046102, 2009. a, b
Yamanaka, Y. and Kikuchi, M.: Asperity map along the subduction zone in
northeastern Japan inferred from regional seismic data, J. Geophys. Res.-Sol. Ea., 109, B07307, https://doi.org/10.1029/2003JB002683, 2004. a
Yazdi, P., Gaspar‐Escribano, J. M., Santoyo, M. A., and Staller, A.:
Analysis of the 2014 Mw 7.3 Papanoa (Mexico) Earthquake: Implications for
Seismic Hazard Assessment, Seismol. Res. Lett., 90, 1801–1811,
https://doi.org/10.1785/0220190032,
2019. a
Zúñiga, F. R., Reyes, M. A., and Valdés, C.: A general overview of the catalog of recent seismicity compiled by the Mexican Seismological
Survey, Geofis. Int., 39, 161–170, 2012. a
Short summary
The Mexican subduction zone along the Pacific coast is one of the most active seismic zones in the world, where every year larger-magnitude earthquakes shake huge inland cities such as Mexico City. In this work, we use TREMOL (sThochastic Rupture Earthquake ModeL) to simulate the seismicity observed in this zone. Our numerical results reinforce the hypothesis that in some subduction regions single asperities are responsible for producing the observed seismicity.
The Mexican subduction zone along the Pacific coast is one of the most active seismic zones in...
