Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ...
Geophysical methods provide remotely sensed data that are sensitive to subsurface properties and interfaces. Knowledge about discontinuities is important throughout the Earth sciences: for example, the saltwater/freshwater interface in coastal areas drive mixing processes; the temporal development o...
Main Authors: | , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
ETH Zurich
2019
|
Subjects: | |
Online Access: | https://dx.doi.org/10.3929/ethz-b-000338541 http://hdl.handle.net/20.500.11850/338541 |
id |
ftdatacite:10.3929/ethz-b-000338541 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.3929/ethz-b-000338541 2024-04-28T08:35:58+00:00 Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... De Pasquale, Giulia Linde, Niklas Doetsch, Joseph Holbrook, W.S. 2019 application/pdf https://dx.doi.org/10.3929/ethz-b-000338541 http://hdl.handle.net/20.500.11850/338541 en eng ETH Zurich Electrical resistivity tomography ERT Inverse theory Probabilistic distributions Tomography article-journal Text ScholarlyArticle Journal Article 2019 ftdatacite https://doi.org/10.3929/ethz-b-000338541 2024-04-02T12:32:08Z Geophysical methods provide remotely sensed data that are sensitive to subsurface properties and interfaces. Knowledge about discontinuities is important throughout the Earth sciences: for example, the saltwater/freshwater interface in coastal areas drive mixing processes; the temporal development of the discontinuity between frozen and unfrozen ground is indicative of permafrost development; and the regolith-bedrock interface often plays a predominant role in both landslide and critical-zone investigations. Accurate detection of subsurface boundaries and their geometry is challenging when using common inversion routines that rely on smoothness constraints that smear out any naturally occurring interfaces. Moreover, uncertainty quantification of interface geometry based on such inversions is very difficult. In this paper, we present a probabilistic formulation and solution to the geophysical inverse problem of inferring interfaces in the presence of significant subsurface heterogeneity. We implement an ... : Geophysical Journal International, 217 (2) ... Article in Journal/Newspaper permafrost DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Electrical resistivity tomography ERT Inverse theory Probabilistic distributions Tomography |
spellingShingle |
Electrical resistivity tomography ERT Inverse theory Probabilistic distributions Tomography De Pasquale, Giulia Linde, Niklas Doetsch, Joseph Holbrook, W.S. Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
topic_facet |
Electrical resistivity tomography ERT Inverse theory Probabilistic distributions Tomography |
description |
Geophysical methods provide remotely sensed data that are sensitive to subsurface properties and interfaces. Knowledge about discontinuities is important throughout the Earth sciences: for example, the saltwater/freshwater interface in coastal areas drive mixing processes; the temporal development of the discontinuity between frozen and unfrozen ground is indicative of permafrost development; and the regolith-bedrock interface often plays a predominant role in both landslide and critical-zone investigations. Accurate detection of subsurface boundaries and their geometry is challenging when using common inversion routines that rely on smoothness constraints that smear out any naturally occurring interfaces. Moreover, uncertainty quantification of interface geometry based on such inversions is very difficult. In this paper, we present a probabilistic formulation and solution to the geophysical inverse problem of inferring interfaces in the presence of significant subsurface heterogeneity. We implement an ... : Geophysical Journal International, 217 (2) ... |
format |
Article in Journal/Newspaper |
author |
De Pasquale, Giulia Linde, Niklas Doetsch, Joseph Holbrook, W.S. |
author_facet |
De Pasquale, Giulia Linde, Niklas Doetsch, Joseph Holbrook, W.S. |
author_sort |
De Pasquale, Giulia |
title |
Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
title_short |
Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
title_full |
Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
title_fullStr |
Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
title_full_unstemmed |
Probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
title_sort |
probabilistic inference of subsurface heterogeneity and interface geometry using geophysical data ... |
publisher |
ETH Zurich |
publishDate |
2019 |
url |
https://dx.doi.org/10.3929/ethz-b-000338541 http://hdl.handle.net/20.500.11850/338541 |
genre |
permafrost |
genre_facet |
permafrost |
op_doi |
https://doi.org/10.3929/ethz-b-000338541 |
_version_ |
1797567897709576192 |