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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Main Authors: Daniele Sampietro, Martina Capponi
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/9/8/351
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spelling 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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