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Regional Environmental Change

, Volume 19, Issue 1, pp 193–204 | Cite as

Response of the river discharge in the Tocantins River Basin, Brazil, to environmental changes and the associated effects on the energy potential

  • Rita Casia Silva Von RandowEmail author
  • Daniel Andrés Rodriguez
  • Javier Tomasella
  • Ana Paula Dutra Aguiar
  • Bart Kruijt
  • Pavel Kabat
Original Article

Abstract

Climate change is expected to impact the hydrological regime worldwide, and land use and land cover change may alter the effects of the former in some cases. Secondary growth in deforested and abandoned areas is one of the main consequences of land use and cover changes in Amazonia. Among land uses, the effects of the secondary growth in water availability in large scale basins are not well understood. This work analyzes the potential effects of secondary growth under climate and land use change on water availability and hydropower in the Tocantins basin, in the Legal Amazon region of Brazil, using the MHD-INPE hydrological model driven by different climate scenarios and two future socioeconomic-based potential land use scenarios. The model projects decrease on discharge under climate change scenarios, which further cause the simulated hydropower energy potential to decrease significantly. When only deforestation scenarios are included, the effects of climate change are weakened, but when secondary growth is also considered, the effects of climate change are enhanced. Results suggest that different aspects of environmental change, such as secondary growth, may affect water production and the sectors depending on it.

Keywords

Hydrological modeling Climate change Land use and land cover change Secondary forest Hydropower potential 

Notes

Acknowledgments

The authors acknowledge European Union for financially supporting the EU-FP7 AMAZALERT project (Raising the alert about critical feedbacks between climate and long-term land use change in the Amazon - grant agreement no. 282664), of which this work is part. The authors also acknowledge the “Fundo Amazonia” program of the Brazilian Development Bank (BNDES), which partially supported the LUCC-ME modeling framework.

Supplementary material

10113_2018_1396_MOESM1_ESM.docx (1.7 mb)
ESM 1 (DOCX 1747 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Rita Casia Silva Von Randow
    • 1
    Email author
  • Daniel Andrés Rodriguez
    • 2
  • Javier Tomasella
    • 3
  • Ana Paula Dutra Aguiar
    • 1
    • 4
  • Bart Kruijt
    • 5
  • Pavel Kabat
    • 6
  1. 1.Earth System Science Center (CCST)National Institute for Space Research (INPE)São José dos CamposBrazil
  2. 2.Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (COPPE)Universidade Federal do Rio de Janeiro (UFRJ)Rio de JaneiroBrazil
  3. 3.CEMADEN, Centro de Monitoramento e Alertas de Desastres NaturaisCachoeira PaulistaBrazil
  4. 4.Stockholm Resilience CentreStockholm UniversityStockholmSweden
  5. 5.Water Systems and Global ChangeWageningen UniversityWageningenThe Netherlands
  6. 6.IIASA, International Institute for Applied System AnalysisLaxenburgAustria

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