%0 Journal Article
%T An Attempt to Analyze a Human Nervous System Algorithm for Sensing Earthquake Precursors
%A Da Cao
%J Open Journal of Earthquake Research
%P 1-25
%@ 2169-9631
%D 2023
%I Scientific Research Publishing
%R 10.4236/ojer.2023.121001
%X We statistically validate
the 2011-2022 earthquake prediction records of Ada, the sixth finalist of the
2nd China AETA in 2021, who made 147 earthquake predictions (including 60% of
magnitude 5.5 earthquakes) with a prediction accuracy higher than 70% and a
confidence level of 95% over a 12-year period. Since the reliable earthquake
precursor signals described by Ada and the characteristics of Alfv¨¦n waves
match quite well, this paper proposes a hypothesis on how earthquakes are
triggered based on the Alfv¨¦n (Q G) torsional wave model of Gillette et al. When the plume of the upper
mantle column intrudes into the magma and lithosphere of the soft flow layer
during the exchange of hot and cold molten material masses deep inside the
Earth¡¯s interior during ascent and descent, it is possible to form body and
surface plasma sheets under certain conditions to form Alfven nonlinear
isolated waves, and Alfven waves often
perturb the geomagnetic field, releasing huge heat and kinetic energy
thus triggering earthquakes. To explain the complex phenomenon of
how Ada senses Alvfen waves and how to locate epicenters, we venture to
speculate that special magnetosensory cells in a few human bodies can sense
earthquake precursors and attempt to hypothesize an algorithm that analyzes how the human biological nervous system
encodes and decodes earthquake precursors
and explains how human magnetosensory cells can solve complex problems
such as predicting earthquake magnitude and locating epicenters.
%K Earthquake Prediction
%K Earthquake Precursors
%K Mantle Column Plume
%K Asthenosphere
%K Alfven Isolated Waves
%K Human Magnetic Induction Cells
%K Neuronal Spikes
%K Bayesian Algorithm
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=124365