Reference : Uncertainty of climate change impact on groundwater resources considering various unc...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Geological, petroleum & mining engineering
http://hdl.handle.net/2268/100592
Uncertainty of climate change impact on groundwater resources considering various uncertainty sources
English
Goderniaux, Pascal mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Brouyère, Serge mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Orban, Philippe mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Wildemeersch, Samuel mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Dassargues, Alain mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Jul-2011
Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems
Abesser, C.
Nutzmann, G.
Hill, M.
Bloschl, G.
Lakshmanan, E.
IAHS Press
345
139-144
Yes
International
Wallingford
IUGG 2011 - Symposium H01: Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems (Symposium H01 IUGG2011)
July 2011
IAHS
Melbourne
Australia
[en] groundwater ; integrated modelling ; climate change ; uncertainty ; stochastic scenarios ; calibration ; HydroGeoSphere ; UCODE ; Geer basin
[en] Many studies have highlighted that climate change will have a negative impact on groundwater. However, in previous studies, the estimation of uncertainty around projections was very limited. In this study, the impact of climate change on groundwater resources is estimated for the Geer basin using a surface–subsurface integrated model. The uncertainties around impact projections are evaluated from three different sources. The uncertainty linked to the climate model is assessed with six contrasted RCMs and two GCMs. The uncertainty linked to the natural variability of the weather is evaluated thanks to a weather generator which enables production of a large number of equiprobable climatic scenarios. The uncertainty linked to the calibration of the hydrological model is assessed by a coupling with UCODE_2005 and by performing a complete linear uncertainty analysis on predictions. A linear analysis is approximate for this nonlinear system, but provides some measure of uncertainty for this computationally demanding model. Results for this study show that the uncertainty linked to the hydrological model is the most important.
Aquapôle - AQUAPOLE
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers ; Professionals
http://hdl.handle.net/2268/100592

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