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Climatic Change

, Volume 114, Issue 3–4, pp 497–508 | Cite as

Adaptation to an uncertain climate change: cost benefit analysis and robust decision making for dam dimensioning

  • Hypatia Nassopoulos
  • Patrice Dumas
  • Stéphane Hallegatte
Article

Abstract

Climate models project large changes in rainfall, but disagree on their magnitude and sign. The consequences of this uncertainty on optimal dam dimensioning is assessed for a small mountainous catchment in Greece. Optimal dam design is estimated using a Cost-Benefit Analysis (CBA) based on trends in seasonal temperature and precipitations from 19 IPCC-AR4 climate models driven by the the SRES A2 emission scenario. Optimal reservoir volumes are modified by climate change, leading to up to 34% differences between optimal volumes. Contrary to widely-used target-based approaches, the CBA suggests that reduced rainfall should lead to smaller water reservoirs. The resulting change in the Net Present Value (NPV) of water supply is also substantial, ranging from no change to a large 25% loss, depending on the climate model, even assuming optimal adaptation and perfect foresight. In addition, climate change uncertainty can lead to design errors, with a cost ranging from 0.3 to 2.8% of the NPV, depending on site characteristics. This paper proposes to complement the CBA with a robust decision-making approach that focuses on reducing design-error costs. It also suggests that climate change impacts in the water sector may reveal large, that water reservoirs do not always provide a cost-efficient adaptation strategy, and that alternative adaptation strategies based on water conservation and non-conventional water production need to be considered.

Keywords

Climate Change Water Demand Optimal Volume Optimal Adaptation Error Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This research study was financed by the European Union under the integrated project CIRCE. We would like to thank Jean-Louis Dufresne from the LMD laboratory for his valuable advice on climatic data extraction and Maria M. Mimikou Professor of NTUA, for letting us use the figure of the general plan of the area. We would also like to thank Yannis Kouvopoulos from Public Power Corporation of Greece for his encouragement, ITIA research team from the National Technical University of Athens Faculty of Civil Engineering for the reports on historical runoff and Professor Athanasios Loukas and Lampros Vasiliades from University of Thessaly, Department of Civil Engineering, Volos for their indications on data sources.

Supplementary material

10584_2012_423_MOESM1_ESM.pdf (142 kb)
(PDF 142 KB)

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Hypatia Nassopoulos
    • 1
    • 2
  • Patrice Dumas
    • 1
    • 3
  • Stéphane Hallegatte
    • 1
    • 4
  1. 1.Centre International de Recherche sur l’Environnement et le Développement (CIRED)Nogent-sur-Marne CedexFrance
  2. 2.Département d’Économie École PolytechniquePôle de Recherche en Economie et Gestion (PREG)Palaiseau CedexFrance
  3. 3.Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)Montpellier Cedex 5France
  4. 4.École Nationale de la Météorologie (Météo-France)ToulouseFrance

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