Abstract

The article discusses the controversial topic of the precursor-based earthquake prediction, based on a personal perspective intending to stir the current still waters of the issue after twenty years have passed since the influential debate on earthquake prediction hosted by Nature in 1999. The article challenges the currently dominant pessimistic view on precursor-based earthquake prediction resting on the “impossible in principle” paradigm. Instead, it suggests that a concept-based innovative research strategy is the key to obtain significant results, i.e., a possible paradigm shift, in this domain. The basic concept underlying such a possible strategy is the “precursory fingerprint” of individual seismic structures derived from the uniqueness of the structures themselves. The aim is to find as many unique fingerprints as possible for different seismic structures worldwide, covering all earthquake typologies. To achieve this, a multiparameter approach involving all possible sensor types (physical, chemical, and biological) of the highest available sensitivity and artificial intelligence could be used. The findings would then be extrapolated to other similar structures. One key issue is the emplacement location of the sensor array in privileged “sensitive” Earth surface sites (such as volcanic conduits) where the signal-to-noise ratio is maximized, as suggested in the article. The strategy envisages three stages: experimental phase, validation, and implementation. It inherently could be a costly, multidisciplinary, international, and long-term (i.e., multidecade) endeavor with no guaranteed success, but less adventurous and societally more significant to the currently running and well-funded SETI Project.

Highlights

  • “Short-term earthquake prediction is the only useful and meaningful form for protecting human lives and social infrastructures” from the effects of disastrous seismic events (Hayakawa, 2018)

  • The time passed since apparently seems to justify the most “pessimistic party” of that debate according to which earthquake prediction based on precursory signals is “impossible in principle” because of the chaotic and nonlinear nature of the seismic phenomenon (e.g., Geller et al, 1996; Matthews, 1997) or because “it is likely that an earthquake has no preparatory stage” (Kagan, 1997)

  • This style of Earthquake Prediction Research Strategy reasoning penetrated the consciousness of the scientific community so profoundly that it is explicitly expressed in Predicting the Unpredictable—the title of a book (Hough, 2010)

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Summary

INTRODUCTION

“Short-term earthquake prediction is the only useful and meaningful form for protecting human lives and social infrastructures” from the effects of disastrous seismic events (Hayakawa, 2018). A number of large-magnitude earthquakes struck worldwide without being “predicted” and causing numerous victims and incommensurable economic losses such as the 2004 Sumatra earthquake (227, 898 victims and US$15 billion total damage; Telford and Cosgrave, 2006), the 2010 Haiti earthquake (>100,000 death toll and USD 7.8–8.5 billion economic loss; U.S Geological Survey, 2013), and the 2011 Tohoku earthquake (15,900 victims and USD 360 billion economic loss; Bachev, 2014) that apparently confirmed the pessimistic view on earthquake prediction reinforced by a number of post-1999 papers This pessimism has essentially lasted until today (Uyeda and Nagao, 2018). This article intends to discuss such questions and proposes a radically new approach to the issue of precursor-based earthquake prediction research strategy

A SHORT SUMMARY OF THE STATE OF THE ART IN EARTHQUAKE PREDICTION RESEARCH
DISCUSSION
DATA AVAILABILITY STATEMENT
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