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Structural and Non-Structural Climate Change Adaptation Strategies for the Péribonka Water Resource System

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  • Richard Arsenault
  • François Brissette
  • Jean-Stéphane Malo
  • Marie Minville
  • Robert Leconte

Abstract

This paper discusses the possibility for a privately managed hydro-power system to adapt to a projected increase in water flow in their central-Québec watersheds by adding power generation potential. Runoffs simulated by a lumped rainfall-runoff model were fed into a stochastic dynamic programming (SDP) routine to generate reservoir operating rules. These rules were optimized for maximum power generation under maximal and minimal reservoir level constraints. With these optimized rules, a power generation simulator was used to predict the amount of generated hydropower. The same steps, excluding calibration, were performed on 60 climate projections (from 23 general circulation models and 3 greenhouse gas emission scenarios) for future horizons 2036–2065 and 2071–2100. Reservoir operation rules were optimized for every climate change projection for the 3 power plants in the system. From these simulations, it was possible to determine hydropower numbers for both horizons. The same steps were performed under a modified system in which an additional turbine was added to each power plant. Results show that both the non-structural (optimizing reservoir rules) and structural (adding turbines) adaptation measures allow for increased power production, but that adapting operating rules is sufficient to reap the most of the benefits of increased water availability. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Richard Arsenault & François Brissette & Jean-Stéphane Malo & Marie Minville & Robert Leconte, 2013. "Structural and Non-Structural Climate Change Adaptation Strategies for the Péribonka Water Resource System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2075-2087, May.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:7:p:2075-2087
    DOI: 10.1007/s11269-013-0275-6
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    Cited by:

    1. Jiping Yao & Guoqiang Wang & Weina Xue & Zhipeng Yao & Baolin Xue, 2019. "Assessing the Adaptability of Water Resources System in Shandong Province, China, Using a Novel Comprehensive Co-evolution Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 657-675, January.
    2. Richard Arsenault & Marco Latraverse & Thierry Duchesne, 2016. "An Efficient Method to Correct Under-Dispersion in Ensemble Streamflow Prediction of Inflow Volumes for Reservoir Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4363-4380, September.

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