Salimi, Saadoun; Akbary, Mehry; Hosseini, Seyed Asaad ORCID: https://orcid.org/0000-0002-0393-6950; Moghim, Gholamreza Maghami; Yarmoradi, Zahra; Bayat, Ali et Rabbani, Fatemeh
(2025).
Analysis of Atmospheric Precursors at the Time of the Earthquake Using Satellite Images.
Journal of the Indian Society of Remote Sensing
, vol. 53
, nº 3.
pp. 895-910.
DOI: 10.1007/s12524-024-02023-9.
Résumé
Changes in the earth’s and the atmosphere’s physical and chemical properties are known as earthquake precursors before the earthquake. These precursors could range from some seconds to years before the earthquake occurs. One of these sign markers could be the changes in the atmospheric conditions prevailing in an area before and after the earthquake. One of the pre-indicators of an earthquake is the clouds before the earthquake. These clouds are entirely different in shape and nature, with other factors including changes in the ionosphere, thermal fluxes, synoptic patterns, and atmospheric parameters. This research has investigated and analyzed the earthquake in Azgeleh on November 12, 2017 (a city in Kermanshah province, located in the west of Iran). Also, this research is a 38-day time series (35 days before and two days after the earthquake) and uses different atmospheric parameters such as zonal and meridional wind, relative humidity, air pressure, air temperature, and land surface temperature (LST) for investigation. The results showed that this earthquake with a magnitude of 7.2 on the Richter scale caused abnormalities in the atmospheric parameters, including an unusual increase in relative humidity up to 2.8 times on November 17, but on the day of the earthquake, there was a 3% decrease in relative humidity and severe temperature changes for a week before the earthquake; it was at 1000 hPa. Also, the days before the earthquake caused sudden changes in synoptic patterns, the formation of earthquake clouds, and increased wind speed in the region. Also, thermal anomaly results showed a strong correlation between the earthquake center and the fault surface. Hence, continuous monitoring of the existing markers makes it possible to know the probability of an earthquake occurrence.
Type de document: | Article |
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Mots-clés libres: | atmospheric precursors; anomaly; earthquake; kermanshah; satellite images; synoptical analysis |
Centre: | Centre Eau Terre Environnement |
Date de dépôt: | 26 mars 2025 18:40 |
Dernière modification: | 26 mars 2025 18:40 |
URI: | https://espace.inrs.ca/id/eprint/16392 |
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