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River flow response to changing electricity demand and centralized hydropower operations in the Paranapanema River basin, Brazil

Fujita, Thais LU ; Cuartas, Luz Adriana LU ; Campos, Juliana Andrade LU orcid ; Hjorth, Peder LU ; Capozzoli, Caluan Rodrigues ; de Freitas, Edmilson Dias and Uvo, Cintia Bertacchi LU orcid (2025) In Journal of Hydrology: Regional Studies 62.
Abstract

Study region: The Paranapanema River Basin, located in southeastern Brazil, is characterized by a cascade of large hydropower plants regulated by a nationally coordinated dispatch system. This basin is a representative case of reservoir-regulated rivers in the country, where multiple dams interact to supply electricity while reshaping natural flow regimes. Study focus: This study examines hydropower-induced variability in river discharge and reservoir volumes using multiresolution wavelet decomposition and signal reconstruction. By analyzing continuous records under operational conditions, the method isolates fluctuations from sub-daily to multi-annual scales. This approach moves beyond average-based analyses, providing a scale-specific... (More)

Study region: The Paranapanema River Basin, located in southeastern Brazil, is characterized by a cascade of large hydropower plants regulated by a nationally coordinated dispatch system. This basin is a representative case of reservoir-regulated rivers in the country, where multiple dams interact to supply electricity while reshaping natural flow regimes. Study focus: This study examines hydropower-induced variability in river discharge and reservoir volumes using multiresolution wavelet decomposition and signal reconstruction. By analyzing continuous records under operational conditions, the method isolates fluctuations from sub-daily to multi-annual scales. This approach moves beyond average-based analyses, providing a scale-specific view of hydropower modulation. It shows how discharge dynamics arise not only from cascade configuration but also from dispatch coordination, plant design, and hydrological conditions. New hydrological insights for the region: Results show that flow variability patterns align with electricity demand profiles, drought episodes, and institutional milestones in the Brazilian power sector. Hydropower operations display distinct signatures at different time scales, highlighting the responsiveness and complexity of reservoir management. Reconstructing signals in original units improves interpretability and supports regulatory evaluation and energy planning. The proposed framework provides a standardized and reproducible way to assess variability in reservoir-regulated systems, enhancing comparability of hydropower assessments and identifying operational dynamics that shape river flow regimes. It also supports more adaptive and ecologically grounded approaches to hydropower governance in the Paranapanema Basin and beyond.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Energy Demand, Flow Regime, Hydropower Operations, Paranapanema River Basin, Wavelet analysis
in
Journal of Hydrology: Regional Studies
volume
62
article number
102815
publisher
Elsevier
external identifiers
  • scopus:105018099969
ISSN
2214-5818
DOI
10.1016/j.ejrh.2025.102815
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
id
0ada57aa-df14-4d3f-afe1-b411ca6ba5e3
date added to LUP
2025-10-16 15:42:47
date last changed
2025-10-23 03:03:37
@article{0ada57aa-df14-4d3f-afe1-b411ca6ba5e3,
  abstract     = {{<p>Study region: The Paranapanema River Basin, located in southeastern Brazil, is characterized by a cascade of large hydropower plants regulated by a nationally coordinated dispatch system. This basin is a representative case of reservoir-regulated rivers in the country, where multiple dams interact to supply electricity while reshaping natural flow regimes. Study focus: This study examines hydropower-induced variability in river discharge and reservoir volumes using multiresolution wavelet decomposition and signal reconstruction. By analyzing continuous records under operational conditions, the method isolates fluctuations from sub-daily to multi-annual scales. This approach moves beyond average-based analyses, providing a scale-specific view of hydropower modulation. It shows how discharge dynamics arise not only from cascade configuration but also from dispatch coordination, plant design, and hydrological conditions. New hydrological insights for the region: Results show that flow variability patterns align with electricity demand profiles, drought episodes, and institutional milestones in the Brazilian power sector. Hydropower operations display distinct signatures at different time scales, highlighting the responsiveness and complexity of reservoir management. Reconstructing signals in original units improves interpretability and supports regulatory evaluation and energy planning. The proposed framework provides a standardized and reproducible way to assess variability in reservoir-regulated systems, enhancing comparability of hydropower assessments and identifying operational dynamics that shape river flow regimes. It also supports more adaptive and ecologically grounded approaches to hydropower governance in the Paranapanema Basin and beyond.</p>}},
  author       = {{Fujita, Thais and Cuartas, Luz Adriana and Campos, Juliana Andrade and Hjorth, Peder and Capozzoli, Caluan Rodrigues and de Freitas, Edmilson Dias and Uvo, Cintia Bertacchi}},
  issn         = {{2214-5818}},
  keywords     = {{Energy Demand; Flow Regime, Hydropower Operations; Paranapanema River Basin; Wavelet analysis}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Hydrology: Regional Studies}},
  title        = {{River flow response to changing electricity demand and centralized hydropower operations in the Paranapanema River basin, Brazil}},
  url          = {{http://dx.doi.org/10.1016/j.ejrh.2025.102815}},
  doi          = {{10.1016/j.ejrh.2025.102815}},
  volume       = {{62}},
  year         = {{2025}},
}