About Our Research

Introduction

Retired researcher Wu, Hong-chun
Institute of Labor, Occupational Safety and Health, Ministry of Labor, Taiwan, R.O.C.

We are passionate researchers and unconventional thinkers. We believe that with vision and perseverance, the impossible can become possible. We hope to push beyond the boundaries of human knowledge and bring meaningful change to the world.

Starting Point of the Research

In 1997, we first observed a change in the speed lines of high-altitude air currents on satellite imagery. A few days later, an earthquake with a magnitude of 6.5 occurred. This accidental discovery inspired our long-term research into anomalous signals in atmosphere.

Mission

This research team is dedicated to developing practical technologies for detecting atmospheric signals, including high-altitude airflow and Outgoing Longwave Radiation (OLR).

Purpose of the Experiment

This research experiment aims to test the reliability of anomalous signals by collecting and statistically analyzing large datasets from around the world. These datasets compare atmospheric signal with earthquakes.

The goal is to improve the accuracy of future predictions when similar signal appear in the same regions.

Scientific Hypothesis: LAIC

Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) Atmospheric Precursor Hypothesis

When rocks are compressed within the Earth's crust, radon gas is released from underground to the surface, producing alpha (α) particles through radioactive decay. These α particles react with oxygen and nitrogen in the atmosphere, forming oxygen ions and nitrogen ions.

These ions then interact with moisture in the air, generating reaction heat. As a result, the temperature near the epicentral region becomes higher than in surrounding areas, leading to the occurrence of Outgoing Longwave Radiation (OLR) anomalies in that region.

Because the region becomes warmer, thermal convection develops. This creates an upward vertical airflow, which in turn causes changes in the velocity lines of high-altitude air currents.

Scientific References

LAIC Hypothesis

  1. Pulinets, S., Ouzounov, D., Karelin, A., & Boyarchuk, K. (2022). Earthquake Precursors in the Atmosphere and Ionosphere: New Concepts.
  2. Pulinets, S. & Ouzounov, D. (2011). Lithosphere-atmosphere-ionosphere coupling (LAIC) model — an unified concept for earthquake precursors validation. J Asian Earth Sci, 41, 371–382.
  3. Pulinets, S., Ouzounov, D., Karelin, A., & Davidenko, D. (2018). Lithosphere–atmosphere–ionosphere–magnetosphere coupling — a concept for pre-earthquake signals generation. In: Pre-earthquake Processes. AGU/Wiley.
  4. Pulinets, S.A., Ouzounov, D.P., Karelin, A.V., & Davidenko, D.V. (2015). Physical bases of the generation of short-term earthquake precursors. Geomag Aeron, 55, 540–558.

Outgoing Longwave Radiation

  1. Ouzounov, D. & Freund, F. (2004). Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Adv Space Res, 33, 268.
  2. Ouzounov, D. et al. (2006). Satellite thermal IR phenomena associated with some of the major earthquakes in 1999–2003. Phys Chem Earth, 31, 154.
  3. Ouzounov, D. et al. (2007). Outgoing long wave radiation variability from IR satellite data prior to major earthquakes. Tectonophysics, 431, 211–220.
  4. Ouzounov, D. et al. (2021). Transient effects in atmosphere and ionosphere preceding the 2015 M7.8 and M7.3 Gorkha–Nepal earthquakes. Front Earth Sci, 9, 757358.
  5. Ouzounov, D. & Pulinets, S. (2021). Earthquake warning system. Patent US10823864B2.

High-Altitude Airflow Precursors

  1. Wu, H.C. (1999). Preliminary finding on perturbation of jet stream by earthquake. Chinese Taipei Geophysical Society Meeting, Taiwan, pp 429–434.
  2. Wu, H.C. (2005). Prediction for M > 6.5 Japan earthquakes by jet stream. Eos Trans. AGU, 86(52), T51B-1337.
  3. Wu, H.C. (2006). Jet stream converges prior to 7.6M Pakistan Earthquake. Eos Trans. AGU, 87(52), T31A-0418.
  4. Wu, H.C. (2008). The hypothesis of jet stream converges to one point at epicenter prior to 7.9M China Earthquake. Eos Trans. AGU, 89(53), S53B-1834.
  5. Wu, H.C. & Tikhonov, I.N. (2014). Jet streams anomalies as possible short-term precursors of earthquakes with M > 6. Res Geophys, 2014, 4939.
  6. Wu, H.C., Wu, T.C., Wu, T.C., & Huang, Y.T. A Detecting System for Atmosphere Jet Stream and Utility Thereof. Patent TW201544829.