Determination of periodic deformation from InSAR results using the FFT time series analysis method in Gediz Graben

K. O. Hastaoglu (), F. Poyraz, H. Erdogan, İ. Tiryakioglu, C. Ozkaymak, H. Duman, Y. Gül, S. Guler, A. Dogan and Y. Gul
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K. O. Hastaoglu: Sivas Cumhuriyet University
F. Poyraz: Sivas Cumhuriyet University
H. Erdogan: Aksaray University
İ. Tiryakioglu: Afyon Kocatepe University
C. Ozkaymak: Afyon Kocatepe University
H. Duman: Sivas Cumhuriyet University
Y. Gül: Sivas Cumhuriyet University
S. Guler: Sivas Cumhuriyet University
A. Dogan: Manisa Celal Bayar University
Y. Gul: Sivas Cumhuriyet University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 117, issue 1, No 22, 517 pages

Abstract: Abstract Permanent Scatterers (PS) point velocities obtained by the interferometric synthetic aperture radar (InSAR) method are generally determined using the linear regression model, which ignores periodic and seasonal effects. In this study, software was developed that can detect periodic effects by applying fast Fourier transformation (FFT) time series analysis to InSAR results. Using the FFT time series analysis, the periodic components of the surface movements at the PS points were determined, and then the annual velocity values free from periodic effects were obtained. The study area was chosen as the Gediz Graben, a tectonically active region where aseismic surface deformations have been observed in recent years. As a result, using the developed method, seasonal effects were successfully determined with the InSAR method at the PS points in the study area with a period of 384 days and an average amplitude of 19 mm. In addition, groundwater level changes of a water well in the region were modeled, and 0.93 correlation coefficient values were calculated between seasonal InSAR displacement values and water level changes. Thus, using the developed methodology, the relationship between the tectonic movement in the Gediz Graben in Turkey and the seasonal movements and the change in the groundwater level was determined.

Keywords: InSAR; Time series analysis; FFT analysis; Seasonal effect (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-05870-w

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