A review of Python-based code for landslide modeling and inversion using Electrical Resistivity Tomography method

Several geophysical methods can be used to identify and detect landslides, and a variety of software programs are suitable for this task, allowing for the inversion and modeling of the acquired data in order to quantify the sliding surface area to assist city planners in making the right decisions....

Full description

Saved in:
Bibliographic Details
Published inSoftware impacts Vol. 16; p. 100501
Main Authors Jabrane, Oussama, Martínez-Pagán, Pedro, Azzab, Driss El, Martínez-Segura, Marcos A., Urruela, Aritz
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2023
Subjects
ERT
Inversion
Landslide
Modeling
Inversion
Landslide
Modeling
ERT
Online AccessGet full text

Cover

More Information
Summary:Several geophysical methods can be used to identify and detect landslides, and a variety of software programs are suitable for this task, allowing for the inversion and modeling of the acquired data in order to quantify the sliding surface area to assist city planners in making the right decisions. This paper presents a tool to produce accurate geophysical models for electrical resistivity tomography (ERT) data. It is based on a mathematical resolution by finite elements, which allows great flexibility in the modeling and processing of complex geometries. •Python-based code for landslide modeling and inversion using the Electrical Resistivity Tomography method.•Gridding, Forward simulation to Inverse modeling for Reality approximation.•Mesh and resistivity to a predefined model to generate Synthetic data for Inversion.
ISSN:2665-9638
2665-9638
DOI:10.1016/j.simpa.2023.100501