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

Author:   Panayiotis Varotsos ,  Nicholas Sarlis ,  Efthimios Skordas
Publisher:   Springer International Publishing AG
Edition:   2023 ed.
ISBN:  

9783031260087


Pages:   361
Publication Date:   18 June 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Natural Time Analysis: The New View of Time, Part II: Advances in Disaster Prediction Using Complex Systems


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Overview

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.

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Author:   Panayiotis Varotsos ,  Nicholas Sarlis ,  Efthimios Skordas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2023 ed.
ISBN:  

9783031260087


ISBN 10:   3031260082
Pages:   361
Publication Date:   18 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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