Impacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes

dc.contributor.authorI. Flores
dc.contributor.authorSantiago Mendoza Paz
dc.contributor.authorMauricio Villazón
dc.contributor.authorPatrick Willems
dc.contributor.authorAnne Gobin
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:40:40Z
dc.date.available2026-03-22T15:40:40Z
dc.date.issued2025
dc.descriptionCitaciones: 1
dc.description.abstractAndean Region, Bolivia. Rositas is a multipurpose storage system designed to enhance hydropower generation, agricultural production, and flood mitigation downstream in the Rio Grande basin. This study evaluates the climate resilience of the project by analysing changes in its hydropower potential. Using regional climate models from the Coordinated Regional Climate Downscaling Experiment (CORDEX) for the near (2040–2069) and far (2070–2099) future, river flow impacts were analysed under three future scenarios (RCP 2.6, 4.5, 8.5). K-means clustering was applied to 101 stations with similar climatic features to perform statistical downscaling (quantile perturbation, and delta change) at the catchment scale. The hydrological models SWAT+ and HEC-HMS were used to estimate changes in water availability and hydropower potential. Projections indicate that river discharges will increase in the wet season and decrease in the dry season, exacerbating severity of droughts. While annual hydropower potential increases by up to 11 % in the near future and 9 % for the far future, seasonal variations are significant. Energy potential decreases by up to 30 % in June to September but increases by up to 25 % in November to February. Calibration focused on seasonal transitions enhances analysis, since hydrological models significantly contribute to uncertainty. These results highlight climate risks faced by the Rositas project and the need for adaptative water management strategies to mitigate potential water conflicts. • Climate change impacts water availability and hydropower potential. • K-means clustering identified climate patterns. • Statistical downscaling was applied to an ensemble of six RCMs. • Model calibration should focus more on seasonal transitions. • Dry season hydropower potential is projected to decrease in the Rositas project.
dc.identifier.doi10.1016/j.ejrh.2025.102903
dc.identifier.urihttps://doi.org/10.1016/j.ejrh.2025.102903
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/53766
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofJournal of Hydrology Regional Studies
dc.sourceKU Leuven
dc.subjectDownscaling
dc.subjectHydropower
dc.subjectEnvironmental science
dc.subjectClimate change
dc.subjectWater resource management
dc.subjectFlood myth
dc.subjectHydrology (agriculture)
dc.subjectClimate change scenario
dc.subjectClimate model
dc.subjectDrainage basin
dc.titleImpacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes
dc.typearticle

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