the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Landslide evaluation applying electrical tomography techniques: study case San José de Aloburo, Pimampiro, Imbabura
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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Status: open (until 26 Mar 2026)
- RC1: 'Comment on egusphere-2025-5577', Anonymous Referee #1, 13 Feb 2026 reply
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## Summary
This manuscript investigates a complex landslide in San José de Aloburo, Pimampiro (Imbabura Province, Ecuador). The main event is reported in late November 2021, and the field/geological campaign was conducted in September 2024. The authors integrate Electrical Resistivity Tomography (ERT; four profiles, Wenner array, imaging to ~40 m) with stratigraphic observations and grain-size (sieving) analysis to interpret subsurface structure and potential instability-related features. The study reflects substantial field and processing effort, and the integrated approach is a clear strength. With minor revisions, the manuscript should be suitable for publication.
## Strengths
- The Introduction, Method, Results, Discussion is logically structured and the citation practice is generally appropriate.
- The work is supported by multiple measurements and complementary methods, which strengthens the interpretation.
- Although the datasets are not publicly archived (reported as available upon reasonable request), the methodological workflow is described in sufficient detail for readers to evaluate the approach.
## Minor revisions requested
- Improve reference accessibility. Some references (e.g., institutional reports) may be difficult to locate. Please add DOIs and/or stable URLs where available.
- Seasonality (rainy-season failure vs. drier-season ERT): add a short qualitative discussion. The landslide occurred in a rainy-season window, whereas ERT was conducted in a comparatively drier period. The statement that “moderate moisture” may enhance resistivity contrast is reasonable. For clarity to readers, please add 1–2 paragraphs (no new data required) describing what additional insights could be gained if wet-season ERT were available alongside dry-season ERT (e.g., changes in extent/continuity of low-resistivity zones, persistence of saturated zones).
- Figure 10(a,b): unclear location relative to maps. Please add an inset/annotation showing where Figure 10(a,b) corresponds on the site maps (ERT layout / stratigraphic points), including viewpoint/orientation if possible.
- Low-cost custom ERT system: provide minimal reproducibility details (appendix is fine). Since resistivity depends directly on ΔV/I, please add a brief appendix summarizing:
- injection signal (frequency and waveform)
- how current (A–B injection) and voltage (M–N potential difference) were measured
- multimeter model numbers and key specs (accuracy/ranges; for AC: True-RMS/bandwidth)
- current transformer (CT) ratio
- a simple calibration/verification check (e.g., using known resistors)
(A short appendix (e.g., ~1 page) is sufficient; no additional field data are required.)