Progress in the short-term earthquake forecasting by integrating KaY wave analysis and satellite observations

TL;DR

This paper explores how integrating KaY wave analysis and satellite observations can improve short-term earthquake forecasting by leveraging geophysical precursors and resonance phenomena.

Contribution

It introduces a novel approach combining KaY wave detection and satellite data to enhance the accuracy of short-term earthquake predictions.

Findings

KaY waves are associated with earthquake precursors.

Satellite thermal radiation changes correlate with earthquake activity.

Integration of methods improves forecasting reliability.

Abstract

Following N.Kozyrev's idea about the influence of the gravitational fields of the Sun and the Moon on the Earth's crust, we consider a low-frequency resonance of the Earth's crust blocks is happening before the occurrence of the earthquake. The resonance affects several geophysical parameters and is associated with many short-term precursory phenomena; the most notable are the release of underground gases (radon), the air temperature rises, change of thermal radiation in the troposphere, and an increase in the electron density in the ionosphere. During the final stage of the earthquake genesis, long-period gravity-seismic waves called the Kozyrev-Yagodin ( KaY-) wave are formed and moves from the periphery to the epicenter of the future earthquake. We discuss that by integrating information from different stages of earthquake genesis: the network observations of KaY waves and satellite thermal radiation, we significantly could advance the accuracy and reliability of short-term earthquake forecasting, previously unachievable.