Özet
This study aims to investigate the regional gravimetric geoid modeling accuracy performance using least squares modification of Hotine’s integral with additive corrections (LSMHA) method in Turkey. The gravimetric geoid model is computed using 1' × 1' resolution gravity disturbances calculated from the complete Bouguer anomaly grid. It is validated in absolute and relative manners using the countrywide and locally distributed precise GNSS/leveling dataset having 100 and 301 benchmarks, respectively. The validation statistics are generated before and after removing the systematic differences between the geoid model and the local vertical datum. The obtained accuracy of the calculated geoid model with LSMHA is compared with the best-fitting geoid model computed via commonly used least squares modification of Stokes’s integral (LSMSA) method. The results reveal that the accuracy of the Hotine’s solution is 8.8 cm, compared to the 8.6 cm achieved from the Stokes counterpart in the whole country. Based on the local assessment in the western part of Turkey, the models show much better fitting performance at the local 301 GNSS/leveling benchmarks than the countrywide validation results. The accuracies of the Hotine’s and Stokes’s solutions at the local GNSS/leveling dataset are 4.4 and 4.3 cm, respectively. As a result, it is revealed that the LSMHA method using gravity disturbance gives a competitive result to the LSMSA method in regional gravimetric geoid modeling.
Orijinal dil | İngilizce |
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Sayfa (başlangıç-bitiş) | 1889-1904 |
Sayfa sayısı | 16 |
Dergi | Earth Science Informatics |
Hacim | 15 |
Basın numarası | 3 |
DOI'lar | |
Yayın durumu | Yayınlandı - Eyl 2022 |
Bibliyografik not
Publisher Copyright:© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Finansman
The research presented in this article constitutes a part of the first author’s Ph.D. thesis study at the Graduate School of Istanbul Technical University (ITU). ITU General Research Project with Protocol No. MGA-2018-41592 is acknowledged for the TUTGA GNSS/leveling dataset. The IzJRS GNSS/leveling dataset was provided by ITU Geodesy Division. The gravity anomaly dataset was used from the ITU Gravity Research Group database (Erol et al. 2020 ; Işık et al. 2022). The figures in the article were drawn using Generic Mapping Tools (GMT) software (Wessel et al. 2019) and Python 3 programming language.
Finansörler | Finansör numarası |
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ITU Geodesy Division | 2019, 2022 |
Istanbul Teknik Üniversitesi | MGA-2018-41592 |