Practical Tips for 3D Regional Gravity Inversion
To solve the inverse gravimetric problem, i.e., to estimate the mass density distribution that generates a certain gravitational field, at local or regional scale, several parameters have to be defined such as the dimension of the 3D region to be considered for the inversion, its spatial resolution,...
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doaj-bc82a651944d4c9bacc542b684f1ba392020-11-24T22:20:48ZengMDPI AGGeosciences2076-32632019-08-019835110.3390/geosciences9080351geosciences9080351Practical Tips for 3D Regional Gravity InversionDaniele Sampietro0Martina Capponi1Geomatics Research & Development s.r.l., c/o ComoNExT, Via Cavour 2, 22074 Lomazzo (CO), ItalyDipartimento di Ingegneria Civile e Ambientale (DICA), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano (MI), ItalyTo solve the inverse gravimetric problem, i.e., to estimate the mass density distribution that generates a certain gravitational field, at local or regional scale, several parameters have to be defined such as the dimension of the 3D region to be considered for the inversion, its spatial resolution, the size of its border, etc. Determining the ideal setting for these parameters is in general difficult: theoretical solutions are usually not possible, while empirical ones strongly depend on the specific target of the inversion and on the experience of the user performing the computation. The aim of the present work is to discuss empirical strategies to set these parameters in such a way to avoid distortions and errors within the inversion. In particular, the discussion is focused on the choice of the volume of the model to be inverted, the size of its boundary, its spatial resolution, and the spatial resolution of the a-priori information to be used within the data reduction. The magnitude of the possible effects due to a wrong choice of the above parameters is also discussed by means of numerical examples.https://www.mdpi.com/2076-3263/9/8/351inverse gravimetric problem3D inversion |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniele Sampietro Martina Capponi |
spellingShingle |
Daniele Sampietro Martina Capponi Practical Tips for 3D Regional Gravity Inversion Geosciences inverse gravimetric problem 3D inversion |
author_facet |
Daniele Sampietro Martina Capponi |
author_sort |
Daniele Sampietro |
title |
Practical Tips for 3D Regional Gravity Inversion |
title_short |
Practical Tips for 3D Regional Gravity Inversion |
title_full |
Practical Tips for 3D Regional Gravity Inversion |
title_fullStr |
Practical Tips for 3D Regional Gravity Inversion |
title_full_unstemmed |
Practical Tips for 3D Regional Gravity Inversion |
title_sort |
practical tips for 3d regional gravity inversion |
publisher |
MDPI AG |
series |
Geosciences |
issn |
2076-3263 |
publishDate |
2019-08-01 |
description |
To solve the inverse gravimetric problem, i.e., to estimate the mass density distribution that generates a certain gravitational field, at local or regional scale, several parameters have to be defined such as the dimension of the 3D region to be considered for the inversion, its spatial resolution, the size of its border, etc. Determining the ideal setting for these parameters is in general difficult: theoretical solutions are usually not possible, while empirical ones strongly depend on the specific target of the inversion and on the experience of the user performing the computation. The aim of the present work is to discuss empirical strategies to set these parameters in such a way to avoid distortions and errors within the inversion. In particular, the discussion is focused on the choice of the volume of the model to be inverted, the size of its boundary, its spatial resolution, and the spatial resolution of the a-priori information to be used within the data reduction. The magnitude of the possible effects due to a wrong choice of the above parameters is also discussed by means of numerical examples. |
topic |
inverse gravimetric problem 3D inversion |
url |
https://www.mdpi.com/2076-3263/9/8/351 |
work_keys_str_mv |
AT danielesampietro practicaltipsfor3dregionalgravityinversion AT martinacapponi practicaltipsfor3dregionalgravityinversion |
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