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The tenth anniversary of the Nepal 2015 M7.8 earthquake: Explore new prediction techniques

Dr. Dimitar Ozunov of the Earth, Computing, Human and Monitoring Institute (Echo Institute) at Chapman University and Dr. Angelo de Santis of the National Institute for Foreign Affairs of Geophysics and Foreign, including the LAIC application for subscriptions in 2015 Ganton Disone. Santis
As we approached the tenth anniversary of Gurge's earthquakes in Nepal – M7.8 on April 25 and M7.3 on May 12, 2015, the international scientific community is still actively looking for solutions to early detection of the main seismic events to reduce human loss. Such huge disasters can demand thousands of lives and cause widespread economic losses – about 8,800 people have lost their lives – and the total damage ranges between $ 5 billion and 10 billion dollars, which is a large part of the GDP (GDP) of $ 19.2 billion.
Figure 2 (a) The cumulative number of anomalous magnetic cases that were discovered by the satellite swarm for time. Red and blue curves are the best rules of energy law before and after the main shock in Nepal, respectively; (B) The cumulative number of M4+earthquakes occurred inside the Dubrovolski region for time (De Santis et al., 2017). (C) Time scheme for multi -parametering ectops analysis. List of parameters analyzed (C): RN (Radon GAS); Temperature (atmospheric atmosphere temperature); ACP (chemical capabilities in the atmosphere); TRA (thermal radiation anomaly); VLF (very low frequency); GIM TEC (global ionosphere, total electronic contents); EIA TEC (Eye Eye Euil, Total Electronic Contents); (D) The cumulative number of abnormal cases that have been disclosed. This chart confirms a strong acceleration as the earthquakes approach. See details in (Ouzounov et al., 2021). 1.
ATMOSPHEREREOOSPARE (LAIC) associated the synergy between various terrestrial processes, atmosphere, ionosphere and abnormal changes that were observed before major earthquake accidents. Reporting physical phenomena before large earthquakes has a long history. Fog, clouds and animal behavior have been recorded since Aristotle days in ancient Greece, Benini in ancient Rome, and many scientists in ancient China.
It is not surprising that a great accumulation of tension in the Earth's crust can produce presented signals.
Earth notes from sensors in space and Earth offer new opportunities to achieve the accumulation of stress inside the Earth's crust before earthquakes and monitor a wide range of abnormal phenomena that may be linked. By studying a potential nutritional atmosphere associated, we can enhance our understanding of events leading to earthquakes on a global scale.
The first contribution was suggested within the current LAIC framework in the late 1990s. The new satellite notes of the ionosphere, the Earth's Electromagnetic Fields, and the radon notes provided valuable data indicating a possible relationship with the main seismic activity (Pulinets and Bygerchuk 2004).
Over the years, it has been recognized that the conjugation between the atmosphere atmosphere, the ionosphere and the magnetic cover is a global property of our environment and distinguishes many natural processes, including earthquakes and other phenomena related to air ionization.
2. Fast food from Nepal's 2015 earthquakes
Using satellite satellite measurements, we have investigated the possibility of discovering a series of abnormal magnetic signals associated with earthquakes M7.8 and Nepalese M7.3 (De Santis et al., 2017). This may be due to the LAIC, which may indicate a proper proper style of earthquakes. Various techniques are applied to SWARM data available during the two months surrounding earthquakes.
From the series of abnormal, magnetic cases that were discovered at night and during quiet magnetic periods, the cumulative number of abnormal cases shows the typical strong behavior of the critical system with its critical time approaching, then recovers in a way that corresponds to the usual recovery stage after an important event, with a general pattern similar to complaint. We suggest that these anomalies are related to the preparation stage of the Nepal earthquake.
We have improved this study by analyzing the cross differences of six different material parameters in the atmosphere and ioni, both retroactively for the year 2015 M7.8 and the future of M7.3 earthquakes in Nepal (Ouzounov et al., 2021).
Our results show the cohesion between the occurrence of these transit effects before Earthquake in the atmosphere and the ion cover (with a short time delay, ranging from hours to a few days) and the events of M7.8 and M7.3 of 2015. Bowman formula.
The nature of the signals in the atmosphere and UNESPRADs was detected through the simultaneous analysis of satellite data, GPS/TEC, and VLF/LF, indicating that it follows the pattern of general spatial temporal development that was observed in other large earthquakes around the world.
The detection of multiple earthquake references and new evidence of space notes and land has provided decisive visions in the presence of pre -Earth operations, which confirms the importance of our research.
Select Figure 3 (a) magnetic anomalies. The anomalous event was discovered on April 22, 2015, by SW-A, which was three days before April, 25 2015, MW = 7.8 Nepal Sharequake. The event discovered on the satellite occurred at a distance of 279 km from the earthquake center. The center of the earthquake is referred to by a green star, surrounded by green oval (the oval appears due to the projection; in fact it will be a circle above the surface of the earth and at the height of the satellite), and it represents the Dubrovolski region. The red line shows the satellite path. At the top of the figure, relevant information is provided, including the name of the satellite (alpha = A, Charlie = C), the history and time of the satellite that passes through the specified region, the history and time of the earthquake, the satellite number, the geomatic magnetic indicators (DST, KP, F10.7), and the distance close to the paid rush. The direction of the satellite movement is referred to by a black arrow, with the bullish trend represented by an arrow indicating the top (ascending) and the downtom direction represented by an arrow indicating the bottom (landing). In this case, the orbit descends. The red point is depicted by another M5+ earthquake that occurs in the same spatial interval (Alimorady et al., 2025). (B) The thermal radiation anomalies that were observed from the Noa/Avhrr on May 2, 2015, in the vicinity of the Epicientter M7.3 Center on May 12, 2015. The boundaries of the tectonic plate are referred to with red lines, big errors with that structure (Ouzounov et al., 2021). 3. LAIC and Preithquake signs capabilities/ prediction short
The complexity of earthquake generation reduces scientific knowledge and leads to inconvenient visions. However, it is understood that many of the gradual advanced stages occur in both time and space during this process, and that LAIC is one of the concepts that it describes. Therefore, it is reasonable to apply direct direct material measurement methods to study the physics of the pre -ministers, including the accumulation and relaxation of lithusviri stress and strain, through a wide range of spatial and temporal measures.
This approach aims to enhance the understanding of the source and interactions before the main rupture. Recent developments in pre -mathquake studies have inspired many research teams to undertake an integrated effort, using the latest innovative technologies to collect and analyze multi -sensor geophysical data related to Lithoswarian deformities (Ouzounov et al., 2018; De Santis et al
The first successful future alerts in the short -term LAIC show showed that the transition from one to multi -parameter measurements can ensure reliability by reducing wrong warnings and enriching the material completion of monitoring phenomena (Ouzounov et al., 2018).
All results can become the foundations for the operating earthquake system (for example, de santis et al., 2025).
ALIMORADI H., Rahimi H., De Santis A. (2024) successful tests to discover magnetic field signals before Earthquake from space. Sens Remote. , 16, 2985. Volume 461, Pages 119-126, ISSN 0012-821X, https://doi.org/10.1016/j.epsl.2016.12.037 de Santis A., Cianchini G., Perrone L., Soldani M. Earth Sciences, 15, 69. John. Wiley & Sons, Inc. , 385 pp https://gupubs.onlinelibrary.wiley.com/doi/book/10.1002/978111919156949 Ouzounov D, Pulinets S, Davidinko D, Rozhnoi A And the UNASFAR which precedes the 2015 M7.8 and M7.3 Gorkha -Nepal earthquakes. before. Earth sciences. 9: 757358. Springer, Berlin. Pulinets S. and D. Ouzounov (2018) The ability to predict the earthquake: learning from nature, Institute of Physics Books, IOP, 168PP https://iopscience.IOP.org/book/978-0-7503-1248-6 Pulinets S. Ionosphere: new concepts, Springer, ISBN-940242170X, September 2022, 312pp https://link.springer.com/book/10.1007/978-94-024-2172-9
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