Digital Analysis of Gravity Data of the Absheron Peninsula
Abstract
The depth structure of the crust of the Absheron Peninsula was studied based on gravimetric data.
Modern methods of mathematical processing and interpretation were used in the research work. Numerical
analysis of gravity data of the research area was performed using Hartley transform and Butterworth filter. The
Spector-Grant method was used to determine the average depth state of the masses causing the anomaly based on
the values of the gravitational field power spectrum. The power spectrum of the gravitational field of the research
area was analyzed to determine the cutoff frequency and the average depth of the density interface that form
gravity anomalies. The average depth values of the density interface forming gravity anomalies were determined
to be 6.8 and 36 km. As a result of applying the Parker-Oldenburg’s method to the regional gravity anomalies of
the Absheron Peninsula and adjacent areas, a model of the depth of the crust-lithosphere boundary (Moho) was
created. Inversion estimation of the gravity field using the Parker-Oldenburg’s method show that the depth of the
Moho boundary on the Absheron Peninsula varies between 40-46 km. A gravity anomaly map of the Moho
boundary was created applying the forward modeling algorithm. The main purpose of the research is to study the
gravity anomalies of the Absheron Peninsula as a result of spectral analysis and to get the gravity model of the
depth of the Moho boundary by applying the Parker-Oldenburg’s method.
References
- Zamanova, A., Kadirov, A., Sadigova, G., & Ahmadova, E. (2025). Digital analysis of gravity data of the Absheron peninsula. The Eurasia Proceedings of Science, Technology, Engineering and Mathematics (EPSTEM), 34, 345-351.
Details
| Primary Language | English |
|---|---|
| Subjects | Computer Software, Classical Physics (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | August 1, 2025 |
| Publication Date | August 1, 2025 |
| Submission Date | February 24, 2025 |
| Acceptance Date | March 30, 2025 |
| Published in Issue | Year 2025 Volume: 34 |
