Abstract
The determination of crustal deformation can be measured by geodetic observations of permanent global positioning system (GPS) stations. In this study, the coseismic displacement of 11 August 2012 with magnitudes 6.5 Mw and 6.3 Mw of Ahar–Varzegan earthquakes has been investigated based on GPS observations and deep learning. For this purpose, data were processed at a 30-s rate of 13 Iran geodynamic stations with distances of 25 to 160 km from the earthquake epicenter and then were entered into deep learning. The results show that the horizontal displacement field of the Ahar–Varzegan earthquake has a mean value of 27.93 cm and 15.35 cm, which is estimated with the root mean square error (RMSE) of ±0.24 cm. Vertical displacement has been neglected due to the low accuracy of the z component and the low density of stations in the central seismic range. Also, the right lateral fault (cause of Ahar–Varzegan earthquake) to seismic displacement is evident; field observations and previous research confirm coseismic displacement values and right latera fault.
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We are grateful to the Iran national cartographic center for providing the GPS data.
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Responsible Editor: Longjun Dong
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Sorkhabi, O.M., Alizadeh, S.M.S. Coseismic displacement of Ahar–Varzegan earthquakes based on GPS observations and deep learning. Arab J Geosci 14, 1859 (2021). https://doi.org/10.1007/s12517-021-08278-7
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DOI: https://doi.org/10.1007/s12517-021-08278-7