Páramos under stress: A multidisciplinary approach to mitigate future hazards

Student Report (2025)
Author(s)

L.A. Vogelaar (TU Delft - Civil Engineering & Geosciences)

E.P. van Thiel (TU Delft - Civil Engineering & Geosciences)

J.P. Gortemaker (TU Delft - Civil Engineering & Geosciences)

M.D. Torres Ruhe (TU Delft - Civil Engineering & Geosciences)

F.F.M. Heeremans (TU Delft - Civil Engineering & Geosciences)

A.J. Timmermans (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

K.B.J. Dunne – Mentor (TU Delft - Civil Engineering & Geosciences)

S.C. Toby – Mentor (TU Delft - Civil Engineering & Geosciences)

M.A. Cabrera – Mentor (TU Delft - Civil Engineering & Geosciences)

L.C. Rietveld – Mentor (TU Delft - Civil Engineering & Geosciences)

M. Córdova Mora – Mentor (Universidad de Cuenca)

J. Pésantez – Mentor (Universidad de Cuenca)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2025
Language
English
Graduation Date
14-11-2025
Awarding Institution
Delft University of Technology
Project
CEGM3000 Multidisciplinary Project
Programme
Civil Engineering
Faculty
Civil Engineering & Geosciences
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Abstract

High-altitude páramo ecosystems in the Ecuadorian Andes, which serve a vital function in controlling the local water cycle, conserving biodiversity and securing the livelihoods of the inhabitants, are increasingly threatened. Climate variability, natural disasters and the growing pressure on natural resources due to extractive land use are the main driers. This study assesses the future environmental and social risks in the South Ecuadorian páramo surrounding Cuenca using a multidisciplinary approach. It focuses on hydrological change, slope instability, water quality and stakeholder conflict. Long-term in-situ observations made at the Zhurucay and Quinuas ecohydrological observatories are complemented by satellite and reanalysis data. We analyse multi-year trends in temperature, precipitation, soil moisture and solar radiation. Remote sensing data are calibrated and validated against ground measurements in order to make them applicable to data-scarce areas. This work also uses trend analysis and forecasting of time-series to identify the emerging hydro-meteorological patterns and the synthetic rainfall scenarios and spatial data sets to assess the slope instability under changed conditions. Additionally, water-quality risks related to changed runoff dynamics and potential mining activities are assessed. The study also includes an analysis of stakeholders of the mining Loma Larga project in order to examine how the differences in power, interests and perceived risks contribute to social tensions around water security and land use. The results show an increasing hydro-meteorological variability which may worsen the landslide risk and challenge the buffer capacities of páramo soils, while mining-related disturbances pose an additional threat to the water quality downstream and to the governance. This work integrates the physical science, remote sensing and social analysis in order to provide a comprehensive framework for understanding the coupled human-environment risks in the páramo systems. The finding may help policymakers navigate these trade-offs to support informed decision-making and ecosystem-based approaches to hazard mitigation in fragile high-mountain landscapes.

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