Precursory Phenomena Prior to Earthquakes (2nd Edition)
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: 25 March 2025 | Viewed by 3325
Special Issue Editor
Interests: radon; radon progeny; radon in soil; kHz-MHz electromagnetic radiation; fractal analysis; fractal dimension; long memory; Hurst exponent; DFA; symbolic dynamics; R/S analysis; entropy; Tsallis entropy; earthquakes; pre-seismic precursors; ionizing radiation physics; radiation dosimetry; radiation exposure; radiation protection; X-rays
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Special Issue Information
Dear Colleagues,
This Special Issue of Geosciences aims to gather high-quality original research articles, reviews, and technical notes on the topic of precursory phenomena that occur prior to earthquakes.
Several types of emissions are detected prior to earthquakes, which provide a potential data source from which seismic predictions can be made. Recent research suggests that specific pre-seismic activity can be directly related to specific earthquakes, although this is still an open issue. It is still unclear how pre-seismic emissions and subsequent earthquake events can be linked with accuracy. Known precursors include the electromagnetic radiation of a wide frequency range from ultra-low frequencies (ULFs) between 0.001 and 1 Hz, low frequencies (LFs) between 1 and 10 kHz, and high frequencies (HFs) between 40 and 60 MHz to very high frequencies (VHFs) up to 300 MHz. Enhanced radon gas emissions before earthquakes also count as significant precursors, and have an equally long history and surrounding debate in association with seismic activity. The pre-earthquake activity of radon gas and progeny has been observed in the atmosphere, surface water, groundwater, and underground water, and in soil gas, thermal spas, active faults, volcanic processes, and other seismotectonic environments. Related research also includes observations of several trace gases, e.g., CO2 in active faults, satellite measurements, and remote sensing techniques, surface mapping, and other earthquake activity observations and studies. The research field adopts diverging types of methodological approaches, such as those related to the stochastic and statistical behavior of earthquake-related systems, fractals, long memory, fractal dimension, Hurst exponents, entropy, symbolic dynamics, DFA and MFDFA, R/S analysis, spectral analysis, Fourier analysis and wavelets, signal analysis, and signal processing. All the above topics are indicative of the phenomenon.
The problem of earthquake prediction is a significant challenge among the scientific community, with several reported attempts to resolve issues related to the discovery of credible and unambiguous pre-earthquake precursors, especially for strong and catastrophic earthquakes. The whole study area is multifaceted and involves several types of measurements and analysis methods. For the above reasons, I would like to invite you to submit recent articles, experimental research papers, and case studies, with respect to the topics described above. Papers on the interconnection of the above topics are strongly encouraged.
I invite you to submit a short abstract outlining the purpose of the research and the principal results obtained, in order to verify at an early stage whether the contribution you intend to submit fits with the objectives of this Special Issue.
The publications in the first volume, which we believe may be of interest to you, can be found here: https://www.mdpi.com/journal/geosciences/special_issues/AYN08Z815H.
Prof. Dr. Dimitrios Nikolopoulos
Guest Editor
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Keywords
- electromagnetism
- radon
- earthquakes
- remote sensing
- design of experiments
- data analysis: algorithms and implementation
- data management
- modeling and simulation
- satellite measurements
- self-organized systems
- non-linear dynamics and chaos
- fractals
- seismic source mechanisms
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
1. Title: Two-Stage Systematic Forecasting of Earthquakes: A Case Study of Kamchatka, California, and Japan
Authors: V. Gitis and A. Derendyaev
In the present article, an attempt is made to gather, classify and evaluate the most known precursors, while an additional step ahead is the phrase of a preliminary proposal for their more effective utilization.
3. Title: Magnetic signatures of moderate magnitude earthquakes from ground observations, in distinct geological scenarios
Authors: Kusumita Arora, Rahul Prajapati and Archana R.K.
Abstract: All earthquakes are the result of stress accumulation in the Earth’s crust, culminating in slip along a weak zone, namely a fault. Each year approximately 500,000 earthquakes occur, detectable with current instrumentation. On land they lead to destruction of life and property, at sea they trigger tsunamis. Over a few hundred years, humans have put their minds to understanding the causes of earthquakes and the possibilities of predicting them. The complex interactions of multiple mechanisms, each of which may differ in their characteristics, have generally led to the conclusion that earthquakes cannot be predicted.
Data based studies of earthquake build up patterns span over at least last seven decades. The earlier studies were focussed on analysing signatures of very large earthquakes, which may have been recorded by instruments of opportunity. The pile up of literature on various aspects of such studies, although refuted individually in some cases, combined with highly improved instrumentation and network coverage of observations, make a strong case to continue to pursue the understanding of the physics of the preparatory phases of earthquakes and identify robust signatures in multiple physico-chemical parameters, which herald the occurrence of an earthquake.
In this work, we make a comparison of ground magnetic observations in the Andaman-Nicobar subduction zone, the Himalayan collision zone and the seismogenic zones of the Indian peninsular shield to make a comparative study of the pre-earthquake signatures.
4. Title: Developing the Concept of Earthquake Precursory Fingerprint
Author: Alexandru Szakács
Abstract: The concept of „precursory fingerprint” was proposed recently to characterize particular seismic structures capable of producing large-magnitude seismic events in order to establish a sound theoretical background of earthquake prediction research strategies and develop reliable prediction methodologies. It is a logical consequence of the commonsense statement that seismic structures are unique and their expecatble preshock behaviour is also unique. Therefore, earthquake prediction research efforts have to be focused on pointing out the unique precursory fingerprints of individual seismic structures instead of looking for universally valid precursors. Such a strategy might be conceptually based on 1) the principle of uniqueness of seismogenic structurers, 2) the principle of the integrated and interacting geospheres (lithosphere, hydrosphere, atmosphere, ionosphere, biosphere), and 3) the principle of non-equivalence of Earth surface spots in terms of signal receptivity.
The precursory fingerprint of a given seismic structure is a unique assemblege of percursory signals of various nature (seismic, physical, chemical, biological), detectable in principle using adequate monitoring equipment consisting of a matrix of n sensors emplaced on ground at „sensible” spots identified beforehand and on orbiting satellites. In principle, it is composed of a combination of signals emitted by „responsive sensors”, besides other „non-responsive sensors”, of the sensor matrix monitoring as many as possible virtual precursory processes by continuously measuring their relevant parameters. Each measured parameter has a pre-established (by experts) threshold value, and an uncertainty interval, discrimintaing between background and anomalous values, visualized similar to traffic light signals (green, yellow and red).
The precursory fingerprint can thus be envisaged as a particular configuration of „percursory signals” showing an unique and characteristic pattern having both space and time components. The „space component” of the precursory fingerprint is thought as a particular arrangement of the responsive signals on the master board of the monitoring system, which can be re-arranged, after a series of experiments, in a spontaneously understandable pattern. The „time component” is the characteristic time sequence of the appearing anomalous signals including order, occurrenec time before event, transition time between yellow and red signals, etc. Artificial Intelligence using pattern-recognition algorithms can be used to follow, evaluate and validate the precursory signal assemblage and, finally, to judge, together with an expert board of human operators, its „precursory fingerprint” relevance. Due to its particular charactersitics, the Vrancea seismic nest in Romania qualifies as an excellent experimental ground for earthquake prediction investigations based on the precursory fingerprint concept.
5. Title: Myths about Earthquakes: Quo vadis?
Authors: Vladimir KOSSOBOKOV and Anastasia NEKRASOVA