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The Earth as a living planet: human-type diseases in the earthquake preparation process
The new field of complex systems supports the view that a number of systems
arising from disciplines as diverse as physics, biology, engineering, and
economics may have certain quantitative features that are intriguingly similar.
The earth is a living planet where many complex systems run perfectly without
stopping at all. The earthquake generation is a fundamental sign that the earth
is a living planet. Recently, analyses have shown that human-brain-type disease
appears during the earthquake generation process. Herein, we show that
human-heart-type disease appears during the earthquake preparation of the
earthquake process. The investigation is mainly attempted by means of critical
phenomena, which have been proposed as the likely paradigm to explain the
origins of both heart electric fluctuations and fracture induced
electromagnetic fluctuations. We show that a time window of the damage
evolution within the heterogeneous Earth's crust and the healthy heart's
electrical action present the characteristic features of the critical point of
a thermal second order phase transition. A dramatic breakdown of critical
characteristics appears in the tail of the fracture process of heterogeneous
system and the injury heart's electrical action. Analyses by means of Hurst
exponent and wavelet decomposition further support the hypothesis that a
dynamical analogy exists between the geological and biological systems under
study
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Earthquake slip surfaces identified by biomarker thermal maturity within the 2011 Tohoku-Oki earthquake fault zone.
Extreme slip at shallow depths on subduction zone faults is a primary contributor to tsunami generation by earthquakes. Improving earthquake and tsunami risk assessment requires understanding the material and structural conditions that favor earthquake propagation to the trench. We use new biomarker thermal maturity indicators to identify seismic faults in drill core recovered from the Japan Trench subduction zone, which hosted 50 m of shallow slip during the Mw9.1 2011 Tohoku-Oki earthquake. Our results show that multiple faults have hosted earthquakes with displacement ≥ 10 m, and each could have hosted many great earthquakes, illustrating an extensive history of great earthquake seismicity that caused large shallow slip. We find that lithologic contrasts in frictional properties do not necessarily determine the likelihood of large shallow slip or seismic hazard
The 25 October 2010 Mentawai tsunami earthquake (M_w 7.8) and the tsunami hazard presented by shallow megathrust ruptures
The 25 October 2010 Mentawai, Indonesia earthquake (M_w 7.8) ruptured the shallow portion of the subduction zone seaward of the Mentawai islands, off-shore of Sumatra, generating 3 to 9 m tsunami run-up along southwestern coasts of the Pagai Islands that took at least 431 lives. Analyses of teleseismic P, SH and Rayleigh waves for finite-fault source rupture characteristics indicate ∼90 s rupture duration with a low rupture velocity of ∼1.5 km/s on the 10° dipping megathrust, with total slip of 2–4 m over an ∼100 km long source region. The seismic moment-scaled energy release is 1.4 × 10^(−6), lower than 2.4 × 10^(−6) found for the 17 July 2006 Java tsunami earthquake (M_w 7.8). The Mentawai event ruptured up-dip of the slip region of the 12 September 2007 Kepulauan earthquake (M_w 7.9), and together with the 4 January 1907 (M 7.6) tsunami earthquake located seaward of Simeulue Island to the northwest along the arc, demonstrates the significant tsunami generation potential for shallow megathrust ruptures in regions up-dip of great underthrusting events in Indonesia and elsewhere
Nonstationary ETAS models for nonstandard earthquakes
The conditional intensity function of a point process is a useful tool for
generating probability forecasts of earthquakes. The epidemic-type aftershock
sequence (ETAS) model is defined by a conditional intensity function, and the
corresponding point process is equivalent to a branching process, assuming that
an earthquake generates a cluster of offspring earthquakes (triggered
earthquakes or so-called aftershocks). Further, the size of the
first-generation cluster depends on the magnitude of the triggering (parent)
earthquake. The ETAS model provides a good fit to standard earthquake
occurrences. However, there are nonstandard earthquake series that appear under
transient stress changes caused by aseismic forces such as volcanic magma or
fluid intrusions. These events trigger transient nonstandard earthquake swarms,
and they are poorly fitted by the stationary ETAS model. In this study, we
examine nonstationary extensions of the ETAS model that cover nonstandard
cases. These models allow the parameters to be time-dependent and can be
estimated by the empirical Bayes method. The best model is selected among the
competing models to provide the inversion solutions of nonstationary changes.
To address issues of the uniqueness and robustness of the inversion procedure,
this method is demonstrated on an inland swarm activity induced by the 2011
Tohoku-Oki, Japan earthquake of magnitude 9.0.Comment: Published in at http://dx.doi.org/10.1214/14-AOAS759 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Dynamic analysis of a long span, cable-stayed freeway bridge using NASTRAN
The dynamic analysis for earthquake- and wind-induced response of a long span, cable-stayed freeway bridge by NASTRAN in conjunction with post-processors is described. Details of the structural modeling, the input data generation, and numerical results are given. The influence of the dynamic analysis on the bridge design is traced from the project initiation to the development of a successful earthquake and wind resistant configuration
Mechanism of 2003, 2007 and 2009 earthquakes (S. Vicente Cape) and implications for the 1755 Lisbon earthquake
The San Vicente Cape region (SW Iberia) is of great seismological interest due to its tectonic complexity and for
the occurrence of the 1755 Lisbon mega-earthquake. A structure capable of generating such large earthquake has
not been convincingly found but authors agree with the possible occurrence in the future of a similar earthquake
offshore of San Vicente Cape.We have studied the mechanism of three earthquakes in this area: 29 July 2003 (Mw
= 5.3), 12 February 2007 (Mw = 6.1) and 17 December 2009 (Mw = 5.5) which throw light on the dynamics of
the region. These earthquakes are the largest occurred in the last 40 years at the western of San Vicente Cape.
From inversion of body waves and kinematic slip distribution, we have obtained that the three shocks have similar
characteristics (dimensions, maximum slip, stress drop, source time function, focal depth and rupture velocity),
but we can observe differences on geometry of the rupture that reflect the great seismotectonics complexity of the
zone. The 2003 and 2007 focal mechanisms are similar, corresponding to thrusting motion but the 2009 earthquake
has dip-slip motion on a vertical plane. The ruptures planes for the three shocks, deduced from the slip distribution,
show ruptures on NE-SW planes, with the released energy propagating to NE direction, compatible with
the regional horizontal compression in the NW-SE direction produced by the convergence between the Eurasian
and African plates. This direction of faulting may be applied to the generation of the 1755 Lisbon earthquake, in
terms of a complex rupture along NE-SW trending thrust faults at the Gorringe Bank, the Horseshoe Scarp and the
Marques de Pombal Fault, with rupture propagating in NE direction toward the coast of Portugal and which may
explain the large damage at Lisbon city
Earthquake Machine Lite: Activity 2 of 2
This activity continues and compliments the previous Earthquake Machine activity by pointing out the advantages and limitations of the Earthquake Machine model, explaining the causes of earthquakes and extending students' understanding about earthquake generation, occurrence, and prediction through the collection and interpretation of data. It addresses the following questions: How frequently do earthquakes occur?; Are all earthquakes large events?; How frequently do large events occur?; Can earthquakes be predicted?; How does the Earthquake Machine model compare to global data?; and How do scientists strive for objectivity in their results? It uses the Earthquake Machine models and slide presentation from the previous activity and includes homework exercises, teacher background materials, standards alignments, and references. Educational levels: Middle school, High school
Theory of Earthquake Recurrence Times
The statistics of recurrence times in broad areas have been reported to obey
universal scaling laws, both for single homogeneous regions (Corral, 2003) and
when averaged over multiple regions (Bak et al.,2002). These unified scaling
laws are characterized by intermediate power law asymptotics. On the other
hand, Molchan (2005) has presented a mathematical proof that, if such a
universal law exists, it is necessarily an exponential, in obvious
contradiction with the data. First, we generalize Molchan's argument to show
that an approximate unified law can be found which is compatible with the
empirical observations when incorporating the impact of the Omori law of
earthquake triggering. We then develop the full theory of the statistics of
inter-event times in the framework of the ETAS model of triggered seismicity
and show that the empirical observations can be fully explained. Our
theoretical expression fits well the empirical statistics over the whole range
of recurrence times, accounting for different regimes by using only the physics
of triggering quantified by Omori's law. The description of the statistics of
recurrence times over multiple regions requires an additional subtle
statistical derivation that maps the fractal geometry of earthquake epicenters
onto the distribution of the average seismic rates in multiple regions. This
yields a prediction in excellent agreement with the empirical data for
reasonable values of the fractal dimension , the average
clustering ratio , and the productivity exponent times the -value of the Gutenberg-Richter law.Comment: 30 pages + 13 figure
Prediction Possibility in the Fractal Overlap Model of Earthquakes
The two-fractal overlap model of earthquake shows that the contact area
distribution of two fractal surfaces follows power law decay in many cases and
this agrees with the Guttenberg-Richter power law. Here, we attempt to predict
the large events (earthquakes) in this model through the overlap time-series
analysis. Taking only the Cantor sets, the overlap sizes (contact areas) are
noted when one Cantor set moves over the other with uniform velocity. This
gives a time series containing different overlap sizes. Our numerical study
here shows that the cumulative overlap size grows almost linearly with time and
when the overlapsizes are added up to a pre-assigned large event (earthquake)
and then reset to `zero' level, the corresponding cumulative overlap sizes
grows upto some discrete (quantised) levels. This observation should help to
predict the possibility of `large events' in this (overlap) time series.Comment: 6 pages, 6 figures. To be published as proc. NATO conf. CMDS-10,
Soresh, Israel, July 2003. Eds. D. J. Bergman & E. Inan, KLUWER PUB
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