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DINSAR-BASED ANALYSIS OF SURFACE DEFORMATIONS AT THE PAUTE INTEGRAL HYDROELECTRIC COMPLEX

Diego Capa-Sarango, Daniela Paz-Barzola, Maurizio Mulas, Jessica Robles, Kenny Escobar-Segovia

First published: 2026DOI pendingView metrics

Abstract

This research presents a comprehensive assessment of surface deformation at the Paute Integral Hydroelectric Complex, one of Ecuador's most critical energy infrastructures. Given the complex Andean topography and the strategic importance of this asset, monitoring ground stability is essential for operational safety and structural integrity. This study utilized Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, employing a decadal Sentinel-1 dataset from 2014 to 2024. The methodology integrates multi-temporal interferometric processing of ascending and descending orbits with field-based ground-truthing. Results reveal significant Line-of-Sight (LOS) displacements exceeding minus 0.04 meters per year in the Guarumales, Llamacon, and Tomebamba sectors, as well as along the primary powerhouse access infrastructure. Maximum LOS subsidence values of minus 0.40 meters were recorded in the vicinity of the Molino plant. Furthermore, moderate deformations of approximately minus 0.02 meters were detected in the Osoyacu sector, correlating with road subsidence and bench-shaped landslide activity. These findings highlight the necessity of continuous geomechanical monitoring to prevent potential structural damage. To enhance future data precision and overcome signal loss, the study proposes the design and installation of corner reflectors to mitigate temporal decorrelation in high-vegetation areas. This monitoring framework supports robust risk management strategies and the development of early warning systems, ensuring the long-term resilience of this vital national energy asset against geohazards.

Publication details

Title
DINSAR-BASED ANALYSIS OF SURFACE DEFORMATIONS AT THE PAUTE INTEGRAL HYDROELECTRIC COMPLEX
Authors
Diego Capa-Sarango, Daniela Paz-Barzola, Maurizio Mulas, Jessica Robles, Kenny Escobar-Segovia
Proceedings
SWS 2026 Conference Preprints
Publisher
STEF92 Technology
Year
2026
Pages
Not available yet
ISSN
1314-2704; 1314-2704
ISBN
Not available yet
Language
en
Publication type
Preprint
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