KFU. Card publication. Adjustment of the Local Gravimetric Network by Several Software Packages Using the Kazan Calibration Line as an Example

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ADJUSTMENT OF THE LOCAL GRAVIMETRIC NETWORK BY SEVERAL SOFTWARE PACKAGES USING THE KAZAN CALIBRATION LINE AS AN EXAMPLE

Form of presentation

Articles in Russian journals and collections

Year of publication

2025

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Authors, employees of KFU

Kharisov Ayrat Gumerovich, author

Other authors

Zhanakulova Katima Amantaevna, author

Zhumakanov Ayan Bisingalievich, author

Islyamova Anel Erkinovna, author

Kalen Eraly , author

Kemerbaev Nurgan Tokanovich, author

Sermyagin Roman Aleksandrovich, author

Shkieva Maral Khalilollovna, author

Bibliographic description in the original language

Adjustment of the Local Gravimetric Network by Several Software Packages Using the Kazan Calibration Line as an Example / N. Kemerbayev, A. Zhumakanov, M. Shkiyeva, A. Kharisov, A. Islyamova, R. Sermiagin, K. Zhanakulova, E. Kalen // Russian Journal of Earth Sciences. — 2025. — 25. — S. 1–10.

Annotation

Processing and adjustment of gravity measurements represent an essential scientific and practical challenge in geophysics and geodesy, necessitating efficient and reliable software solutions. In this article, we review five modern open-source software packages for processing gravity measurements, namely GSAdjust, GRAVS2, gTools, GravRelAdj, and GRAVITAS. Additionally, adjustments were performed using a current Python library (statsmodels), which demonstrated good results, providing an objective comparison with the presented software products. The work is focused on optimizing the processing of data from relative and absolute gravity meters, including network adjustment with one fixed point and multiple fixed points. The comparison was conducted using high-precision gravity measurements obtained from the A10 absolute gravity meter and CG-5 relative gravity meters at the Kazan gravity calibration line. The obtained results indicate that GSAdjust and GRAVS2 offer the most promising balance between usability and reliability. GSAdjust provides a user-friendly graphical interface and supports a range of analysis tasks, while GRAVS2 offers speed and robustness, albeit with a command-line interface. A modernization of the GRAVS2 software product for automated processing of large volumes of data is proposed. The study also emphasizes the importance of synchronizing absolute and relative measurements, incorporating nonlinear vertical gradients, and implementing robust adjustment methods to enhance the accuracy and reliability of gravity network solutions.

Keywords

gravity network, gravity meter, adjustment, software, Python

The name of the journal

RUSSIAN JOURNAL OF EARTH SCIENCES

On-line resource for training course

http://dspace.kpfu.ru/xmlui/bitstream/handle/net/185544/F_2025es001051.pdf?sequence=1&isAllowed=y

URL

https://rjes.ru/en/nauka/article/99261/view

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=321209&p_lang=2

Resource files

File name	Size (MB)	Format
F_2025es001051.pdf	0,74	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kharisov Ayrat Gumerovich	ru_RU
dc.contributor.author	Zhanakulova Katima Amantaevna	ru_RU
dc.contributor.author	Zhumakanov Ayan Bisingalievich	ru_RU
dc.contributor.author	Islyamova Anel Erkinovna	ru_RU
dc.contributor.author	Kalen Eraly	ru_RU
dc.contributor.author	Kemerbaev Nurgan Tokanovich	ru_RU
dc.contributor.author	Sermyagin Roman Aleksandrovich	ru_RU
dc.contributor.author	Shkieva Maral Khalilollovna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Adjustment of the Local Gravimetric Network by Several Software Packages Using the Kazan Calibration Line as an Example / N. Kemerbayev, A. Zhumakanov, M. Shkiyeva, A. Kharisov, A. Islyamova, R. Sermiagin, K. Zhanakulova, E. Kalen // Russian Journal of Earth Sciences. — 2025. — 25. — �. 1–10.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=321209&p_lang=2	ru_RU
dc.description.abstract	RUSSIAN JOURNAL OF EARTH SCIENCES	ru_RU
dc.description.abstract	Processing and adjustment of gravity measurements represent an essential scientific and practical challenge in geophysics and geodesy, necessitating efficient and reliable software solutions. In this article, we review five modern open-source software packages for processing gravity measurements, namely GSAdjust, GRAVS2, gTools, GravRelAdj, and GRAVITAS. Additionally, adjustments were performed using a current Python library (statsmodels), which demonstrated good results, providing an objective comparison with the presented software products. The work is focused on optimizing the processing of data from relative and absolute gravity meters, including network adjustment with one fixed point and multiple fixed points. The comparison was conducted using high-precision gravity measurements obtained from the A10 absolute gravity meter and CG-5 relative gravity meters at the Kazan gravity calibration line. The obtained results indicate that GSAdjust and GRAVS2 offer the most promising balance between usability and reliability. GSAdjust provides a user-friendly graphical interface and supports a range of analysis tasks, while GRAVS2 offers speed and robustness, albeit with a command-line interface. A modernization of the GRAVS2 software product for automated processing of large volumes of data is proposed. The study also emphasizes the importance of synchronizing absolute and relative measurements, incorporating nonlinear vertical gradients, and implementing robust adjustment methods to enhance the accuracy and reliability of gravity network solutions.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	gravity network	ru_RU
dc.subject	gravity meter	ru_RU
dc.subject	adjustment	ru_RU
dc.subject	software	ru_RU
dc.subject	Python	ru_RU
dc.title	Adjustment of the Local Gravimetric Network by Several Software Packages Using the Kazan Calibration Line as an Example	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU