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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, Yvan Caballero

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

Science & Mathematics Published 2015 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title An interdisciplinary modelling framework for selecting adaptation measures at the river basin scale in a global change scenario
Author / Organization Corentin Girard, Jean-Daniel Rinaudo, Manuel Pulido-Velazquez, Yvan Caballero
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2015
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-200536
Original Source Link Visit Source Page on hal.science »