Preprints
https://doi.org/10.5194/egusphere-2025-5577
https://doi.org/10.5194/egusphere-2025-5577
09 Jan 2026
 | 09 Jan 2026
Status: this preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).

Landslide evaluation applying electrical tomography techniques: study case San José de Aloburo, Pimampiro, Imbabura

Brenda Mayacela-Salazar, Raisa Torres-Ramírez, Richard Perez-Roa, and Werner Brämer-Escamilla

Abstract. Landslides pose a significant risk in mountainous regions, particularly in the Ecuadorian Andes. This study investigates the internal dynamics of a complex rotational landslide in San José de Aloburo, Imbabura province, using an integrated approach of Electrical Resistivity Tomography (ERT) and geological analysis. Four ERT profiles were acquired along the landslide, reaching depths of up to 40 m, revealing zones of low resistivity (4–45 Ωm). These zones correlate with saturated and poorly consolidated materials and identify possible rupture surfaces. The integration of ERT data with stratigraphic columns and grain size analysis demonstrated that the instability of the landslide is due to a combination of high water content and weak, fine-grained deposits. The findings highlight the effectiveness of this low-cost, multi-method approach to characterizing landslide geometry and assessing failure mechanisms, providing a valuable framework for risk assessments in similar contexts.

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Brenda Mayacela-Salazar, Raisa Torres-Ramírez, Richard Perez-Roa, and Werner Brämer-Escamilla

Status: open (until 14 Feb 2026)

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Brenda Mayacela-Salazar, Raisa Torres-Ramírez, Richard Perez-Roa, and Werner Brämer-Escamilla
Brenda Mayacela-Salazar, Raisa Torres-Ramírez, Richard Perez-Roa, and Werner Brämer-Escamilla
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Short summary
This research analyzes the San José de Aloburo landslide, located in Imbabura, Ecuador, using electrical resistivity tomography to identify the displaced mass and subsoil characteristics. The results improve the geological interpretation of slope movements and demonstrate the usefulness of geophysical methods for evaluating landslide dynamics.
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