Dimitar Ouzounov

One of Ouzounov's primary research interests in Earth science has been employing remote sensing techniques, such as satellite imagery and ground-based sensors, to study the geosphere interaction and geospace observations of natural hazards.[20] In his 2018 interdisciplinary study conducted with a group of researchers, he integrated observations from both space and ground-based data sources to explore the interaction between Earth's geospheres and human health.[21] He also examined the impact of major global geodynamic activities on atmospheric processes and climate by examining how they interact with the geosphere coupling channels, and directed his research efforts toward identifying the potential for geohazards and climate adaptation to interact through these processes.[22] In 2022, he highlighted the value of geospace observations and cross-disciplinary studies in advancing the assessment of natural hazards and processes such as lithosphere-atmosphere-ionosphere coupling.[23] Furthermore, having concentrated his research studies on Earth's moon interdisciplinary observations, he looked into the possible connection between transient lunar phenomena (TLP) and lunar tectonics, discovering proof of a causal relationship between major earthquakes and TLP events in specific lunar regions.[24]

Ouzounov also applied interdisciplinary observations to investigate the physics of the pre-earthquake process and the underlying events that precede the release of energy.[25] He developed methods based on Earth's electromagnetic field changes and used infrared and thermal imaging to monitor Geosphere Interaction Phenomena associated with the earthquake and volcanic activity[26] and environmental disasters.[19] Through his analysis of IR satellite data, he identified anomalous fluctuations preceding several medium to large earthquakes,[27] detected short-lived anomalies in the Satellite thermal infrared (TIR) imaging data sets prior to major earthquakes,[28] and noted the association of thermal radiation anomalies with earthquakes.[29] He integrated a range of satellite and ground-based sensors to monitor geophysical anomalies preceding earthquakes with magnitudes greater than 5.5 globally.[30] He also contributed in novel machine learning of the Satellite observations analysis that aids the investigation of physical and dynamic changes of seismic data in a collaborative study.[31] In his book, Pre-Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies, co-authored with Pulinets, Hattori and Taylor, he described pre-earthquake processes and physical signals, explored their relationship to seismic events, and applied data to short-term forecasting and prediction.[32]

Ouzounov worked on comprehending pre-earthquake processes and the interaction-lithosphere-atmosphere validating them,[33] and exploring the possibilities of earthquake forecasting.[34] He developed an approach to identifying short-term precursors of earthquakes, in collaboration with Sergey Pulinets, exploring a new perspective on the coupling of the lithosphere, atmosphere, and ionosphere preceding significant earthquakes been explored, and reviewed planned missions and satellite systems in his 2022 work, Earthquake Precursors in the Atmosphere and Ionosphere. The research focused on two fundamental mechanism concepts, namely, atmosphere ionization and the global electric circuit, and was supported with theoretical and experimental data. During a research study in Taiwan, Italy, Greece and Japan, he elucidated the possibility of observing radon activities with gamma rays as a potential precursor of an earthquake[35][36][37] and noted the association of certain atmospheric signals, such as electron concentration in the ionosphere, ion rate activities, humidity, etc., with major earthquakes.[19] Previously, in his book, The Possibility of Earthquake Forecasting Learning from Nature, he demonstrated that application of multi- sensor webs might lead to advanced earthquake early warnings.[2]

• Pre‐Earthquake Processes: A Multidisciplinary Approach to Earthquake Prediction Studies (2018) ISBN 9781119156932
• The Possibility of Earthquake Forecasting: Learning from Nature (2018) ISBN 978075031248-6
• Earthquake Precursors in the Atmosphere and Ionosphere (2022) ISBN 9789402421705

• Ouzounov, D., & Freund, F. (2004). Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Advances in space research, 33(3), 268–273.
• Savtchenko, A., Ouzounov, D., Ahmad, S., Acker, J., Leptoukh, G., Koziana, J., & Nickless, D. (2004). Terra and Aqua MODIS products available from NASA GES DAAC. Advances in Space Research, 34(4), 710–714.
• Pulinets, S. A., Ouzounov, D., Karelin, A. V., Boyarchuk, K. A., & Pokhmelnykh, L. A. (2006). The physical nature of thermal anomalies observed before strong earthquakes. Physics and Chemistry of the Earth, Parts A/B/C, 31(4–9), 143–153.
• Ouzounov, D., Liu, D., Chunli, K., Cervone, G., Kafatos, M., & Taylor, P. (2007). Outgoing long wave radiation variability from IR satellite data prior to major earthquakes. Tectonophysics, 431(1–4), 211–220.
• Pulinets, S., & Ouzounov, D. (2011). Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) model–An unified concept for earthquake precursors validation. Journal of Asian Earth Sciences, 41(4–5), 371–382.