Muutke küpsiste eelistusi

E-raamat: Natural Time Analysis: The New View of Time, Part II: Advances in Disaster Prediction Using Complex Systems

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 17-Jun-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031260063
  • Formaat - EPUB+DRM
  • Hind: 172,89 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 17-Jun-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031260063

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This monograph contains the advances achieved based on the content of
our previous monograph published in 2011. In other words, the present
monograph can be considered as "Part II" containing new results
accomplished in the last decade. These were published in several reputed
international journals based on the concept of natural time discussed in
detail in our earlier monograph.  The analysis in natural time enables
the study of the dynamical evolution of a complex system and identifieswhen the system enters a critical stage. A wide range of applications
are discussed, such as the cases of environmental extreme
events-disasters and sudden cardiac death. More light is shed on changes
of natural time features before major earthquakes like the 2011 M9
Tohoku earthquake in Japan and the 2017 M8.2 Chiapas earthquake in
Mexico. Hence, natural time analysis plays a key role in predicting
impending catastrophic events in general with a primary audienceResearchers and Academics in Physics, Earth Sciences, and Medicine.
1. The order parameter fluctuations of seismicity are minimized before
major earthquakes.- 2. A straightforward experimental fact demonstrating the
physical interconnection of a SES activity with seismicity.- 3. The
spatiotemporal variations of the minimum of the seismicity order parameter
fluctuations may estimate the epicenter of an impending major earthquake.-
4. Temporal correlations in the magnitude time series before and after the
minimum of the order parameter fluctuations of seismicity.- 5. Identifying
the occurrence time of a mainshock by means of the minimum of the seismicity
order parameter fluctuations.- 6. On a unique increase of the seismicity
order parameter fluctuations before the 9 Tohoku earthquake in Japan in
2011.- 7.  Minimum of the seismicity entropy change under time
reversal before major earthquakes in natural time analysis.- 8. Fluctuations
of the entropy change of seismicity under time reversal before major
earthquakes in natural time analysis.- 9. Identifying the occurrence time of
a mainshock by means of the fluctuations of the seismicity entropy change
under time reversal.- 10. Compatibility of the SES generation model with the
precursory phenomena before the Tohoku 9 earthquake in Japan in 2011.-
11. Recent advances on the estimation of a future earthquake epicenter based
on natural time.-
12. Study of the global seismicity using natural time
analysis  .- 13. Applications of natural time analysis to disaster prediction
in other disciplines.