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Gsolve, a Python computer program with a graphical user interface to transform relative gravity survey measurements to absolute gravity values and gravity anomalies

Authors :
Jack McCubbine
Fabio Caratori Tontini
Vaughan Stagpoole
Euan Smith
Grant O’Brien
Source :
SoftwareX, Vol 7, Iss , Pp 129-137 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

A Python program (Gsolve) with a graphical user interface has been developed to assist with routine data processing of relative gravity measurements. Gsolve calculates the gravity at each measurement site of a relative gravity survey, which is referenced to at least one known gravity value. The tidal effects of the sun and moon, gravimeter drift and tares in the data are all accounted for during the processing of the survey measurements.The calculation is based on a least squares formulation where the difference between the absolute gravity at each surveyed location and parameters relating to the dynamics of the gravimeter are minimized with respect to the relative gravity observations, and some supplied gravity reference site values. The program additionally allows the user to compute free air gravity anomalies, with respect to the GRS80 and GRS67 reference ellipsoids, from the determined gravity values and calculate terrain corrections at each of the surveyed sites using a prism formula and a user supplied digital elevation model.This paper reviews the mathematical framework used to reduce relative gravimeter survey observations to gravity values. It then goes on to detail how the processing steps can be implemented using the software. Keywords: Relative gravity, Python, Least squares, Free air anomalies, Terrain corrections

Subjects

Subjects :
Computer software
QA76.75-76.765

Details

Language :
English
ISSN :
23527110
Volume :
7
Issue :
129-137
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.46afe5f884544fedbc33e286e83a1011
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2018.04.003