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Global Seismicity Dynamics and Data-Driven Science - Seismicity Modelling by Big Data Analytics (Hardcover, 1st ed. 2021)
Loot Price: R3,623
Discovery Miles 36 230
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Global Seismicity Dynamics and Data-Driven Science - Seismicity Modelling by Big Data Analytics (Hardcover, 1st ed. 2021)
Series: Advances in Geological Science
Expected to ship within 12 - 17 working days
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The recent explosion of global and regional seismicity data in the
world requires new methods of investigation of microseismicity and
development of their modelling to understand the nature of whole
earth mechanics. In this book, the author proposes a powerful tool
to reveal the characteristic features of global and regional
microseismicity big data accumulated in the databases of the world.
The method proposed in this monograph is based on (1)
transformation of stored big data to seismicity density data
archives, (2) linear transformation of microseismicity density data
matrixes to correlated seismicity matrixes by means of the singular
value decomposition method, (3) time series analyses of globally
and regionally correlated seismicity rates, and (4) the minimal
non-linear equations approximation of their correlated seismicity
rate dynamics. Minimal non-linear modelling is the manifestation
for strongly correlated seismicity time series controlled by
Langevin-type stochastic dynamic equations involving deterministic
terms and random Gaussian noises. A deterministic term is composed
minimally with correlated seismicity rate vectors of a linear term
and of a term with a third exponent. Thus, the dynamics of
correlated seismicity in the world contains linearly changing
stable nodes and rapid transitions between them with transient
states. This book contains discussions of future possibilities of
stochastic extrapolations of global and regional seismicity in
order to reduce earthquake disasters worldwide. The dataset files
are available online and can be downloaded at springer.com.
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