Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco)
The electrical resistivity tomography (ERT) technique was conducted for the geophysical survey of a landslide on the southern slope of Jbel Tghat, north of the city of Fez, Morocco. Nine electrical resistivity tomography profiles were implemented to: (a) characterize the geometry of the dipping zone...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922009660 |
| _version_ | 1797938148128325632 |
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| author | Oussama Jabrane Driss El Azzab Pedro Martínez-Pagán Marcos A. Martínez-Segura Himi Mahjoub Mohammed Charroud |
| author_facet | Oussama Jabrane Driss El Azzab Pedro Martínez-Pagán Marcos A. Martínez-Segura Himi Mahjoub Mohammed Charroud |
| author_sort | Oussama Jabrane |
| collection | DOAJ |
| description | The electrical resistivity tomography (ERT) technique was conducted for the geophysical survey of a landslide on the southern slope of Jbel Tghat, north of the city of Fez, Morocco. Nine electrical resistivity tomography profiles were implemented to: (a) characterize the geometry of the dipping zone; (b) characterize their internal structures; and (c) highlight the faulting zone between the marly deposits and the conglomerate formation.The measured data sets were processed using EarthImager™ 2D (Advanced Geosciences, Inc), and BERT (Boundless Electrical Resistivity Tomography) software packages that offer a simple workflow from data import to inversion and visualization, while offering full control over inversion parameters. Moreover, BERT software is a Python-based open-source inversion software package. Both ERT processing software allows obtaining 2D subsurface electrical models associated with the distribution of the subsurface apparent electrical resistivity property, in Ohm.m units. Those 2D subsurface electrical models are retrieved using the same inversion parameters to determine the distribution of geoelectric layers and their defining parameters (e.g., electrical resistivity, thickness, and depth), giving access to certain characteristics exclusive to one of the two processing techniques, comparing the inversion findings to better understand the process's limits, as well as evaluating the capabilities of the two inversion methods. |
| first_indexed | 2024-04-10T18:55:10Z |
| format | Article |
| id | doaj.art-dac5dcff916544acaec57978deb62923 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-10T18:55:10Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-dac5dcff916544acaec57978deb629232023-02-01T04:25:55ZengElsevierData in Brief2352-34092023-02-0146108763Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco)Oussama Jabrane0Driss El Azzab1Pedro Martínez-Pagán2Marcos A. Martínez-Segura3Himi Mahjoub4Mohammed Charroud5Sidi Mohamed Ben Abdellah University, Faculty of Science and Technology, SIGER Laboratory, Fez, BP2202, Morocco; Corresponding author.Sidi Mohamed Ben Abdellah University, Faculty of Science and Technology, SIGER Laboratory, Fez, BP2202, MoroccoDepartment of Mining and Civil Engineering, Universidad Politecnica de Cartagena, Paseo Alfonso XIII, 52, 30203, Cartagena, SpainDepartment of Mining and Civil Engineering, Universidad Politecnica de Cartagena, Paseo Alfonso XIII, 52, 30203, Cartagena, SpainDepartment of Petrology, Geochemistry and Geological Prospection, Universitat de Barcelona, Martí i Franquès s/n, 08030 Barcelona, SpainSidi Mohamed Ben Abdellah University, Faculty of Science and Technology, SIGER Laboratory, Fez, BP2202, MoroccoThe electrical resistivity tomography (ERT) technique was conducted for the geophysical survey of a landslide on the southern slope of Jbel Tghat, north of the city of Fez, Morocco. Nine electrical resistivity tomography profiles were implemented to: (a) characterize the geometry of the dipping zone; (b) characterize their internal structures; and (c) highlight the faulting zone between the marly deposits and the conglomerate formation.The measured data sets were processed using EarthImager™ 2D (Advanced Geosciences, Inc), and BERT (Boundless Electrical Resistivity Tomography) software packages that offer a simple workflow from data import to inversion and visualization, while offering full control over inversion parameters. Moreover, BERT software is a Python-based open-source inversion software package. Both ERT processing software allows obtaining 2D subsurface electrical models associated with the distribution of the subsurface apparent electrical resistivity property, in Ohm.m units. Those 2D subsurface electrical models are retrieved using the same inversion parameters to determine the distribution of geoelectric layers and their defining parameters (e.g., electrical resistivity, thickness, and depth), giving access to certain characteristics exclusive to one of the two processing techniques, comparing the inversion findings to better understand the process's limits, as well as evaluating the capabilities of the two inversion methods.http://www.sciencedirect.com/science/article/pii/S2352340922009660BERT softwarepyGIMLi softwareElectrical resistivity imaging dataERT inversion algorithmsLandslide occurrenceFez |
| spellingShingle | Oussama Jabrane Driss El Azzab Pedro Martínez-Pagán Marcos A. Martínez-Segura Himi Mahjoub Mohammed Charroud Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) Data in Brief BERT software pyGIMLi software Electrical resistivity imaging data ERT inversion algorithms Landslide occurrence Fez |
| title | Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) |
| title_full | Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) |
| title_fullStr | Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) |
| title_full_unstemmed | Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) |
| title_short | Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco) |
| title_sort | contribution of python based bert software for landslide monitoring using electrical resistivity tomography datasets a case study in tghat fez morocco |
| topic | BERT software pyGIMLi software Electrical resistivity imaging data ERT inversion algorithms Landslide occurrence Fez |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922009660 |
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