An interdisciplinary modelling framework for selecting adaptation measures at the river basin scale in a global change scenario

Corentin Girard, Jean-Daniel Rinaudo (), Manuel Pulido-Velazquez and Yvan Caballero ()
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Corentin Girard: UPV - Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia
Jean-Daniel Rinaudo: BRGM - Bureau de Recherches Géologiques et Minières
Manuel Pulido-Velazquez: UPV - Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia
Yvan Caballero: BRGM - Bureau de Recherches Géologiques et Minières

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Abstract: Shaping global change adaptation strategy in water resource systems requires an interdisciplinary approach to deal with the multiple dimensions of the problem. The modelling framework presented integrates climate, economic, agronomic and hydrological scenarios to design a programme of adaptation measures at the river basin scale. Future demand scenarios, combined with a down-scaled climate scenario, provide the basis to estimate the demand and water resources in 2030. A least-cost river basin optimisation model is then applied to select adaptation measures ensuring that environmental and supply management goals are achieved. In the Orb river basin (France), the least-cost portfolio selected suggests mixing demand and supply side measures to adapt to global change. Trade-offs among the cost of the programme of measures, the deficit in agricultural water supply and the level of environmental flows are investigated. The challenges to implement such interdisciplinary approaches in the definition of adaptation strategies are finally discussed.

Keywords: global change; adaptation; integrated river basin modelling; programme of measures; interdisciplinary; least-cost optimisation. (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-agr, nep-env, nep-ger and nep-res
Note: View the original document on HAL open archive server: https://brgm.hal.science/hal-01183833v1
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Citations: View citations in EconPapers (3)

Published in Environmental Modelling and Software, 2015, 69, pp.42-54. ⟨10.1016/j.envsoft.2015.02.023⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01183833

DOI: 10.1016/j.envsoft.2015.02.023

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