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Assessment of Climate Change Impacts on Water Resources in the Somme River Basin (France)

  • N. AmraouiEmail author
  • M. A. Sbai
  • P. Stollsteiner
Article
  • 54 Downloads

Abstract

Modelling the impacts of climate change on water resources in the Somme watershed in northern France is investigated with a multimodel ensemble to probe the sensitivity of hydrologic response to uncertainties in climate projections provided by general circulation models. At the Somme watershed scale, the average decrease in predicted recharge from seven climate models is −18.7%. However, significant disparities appear between simulation results for different climate models. These variations are bounded between −30.4% for the most pessimistic model and − 5.6% for the most optimistic model. Moreover, seasonal gaps are markedly important. For all climate models, the impacts on groundwater levels would be greater on plateaus than in humid valleys. The water level changes would be on the order of −10 m on the plateaus for five climate models and between 0.2 m and 0.5 m in humid valleys. The impacts of two other climate models on water levels are rather low. In addition, the monthly average discharge of the Somme River and its tributaries is predicted to decrease by 2065. The seven-model average shows that the low outlet flow rate to the Somme basin would be reduced by 23% but with disparities between models. The decrease would be more severe in the Avre basin, with the minimal discharge reduced by 32%. This study is a first step towards addressing uncertainties in climate models such that an adaptive watershed management strategy could be devised for water resource managers.

Keywords

Climate change Water resources Chalky aquifer Somme River basin 

Notes

Acknowledgements

This work was supported by a research grant within the “EXPLORE 2070” project supported by the French Ministry of Ecological and solidarity Transition. Thanks to all reviewers for their constructive comments, which greatly improve the paper.

Compliance with Ethical Standards

Conflict of Interest

The authors do not have any conflict of interest to report.

References

  1. Allen DM, Mackie DC, Wei M (2004) Groundwater and climate change: a sensitivity analysis for the Grand Forks aquifer, southern British Columbia, Canada. Hydrogeol J 12:270–290CrossRefGoogle Scholar
  2. Amraoui N, Golaz C, Mardel V, Negrel PH, Petit V, Pinault J-L, Pointet TH (2002) Simulation par modèle des hautes eaux de la Somme. Report BRGM/RP-51827-FRGoogle Scholar
  3. Amraoui N, Wuilleumier A, Thiery D, Caous JY, Noyer M-L, Gaudfefroy MJ (2004) Mise à jour du modèle des hautes eaux de la Somme. Report BRGM/RP-53211-FRGoogle Scholar
  4. Amraoui N., Castillo C, Et Seguin J-J (2014) Evaluation de l’exploitabilité de ressource en eau souterraine de la nappe de la craie du bassin de la Somme. Report BRGM/RP-63408-FRGoogle Scholar
  5. Banque hydro (2007) Banque nationale de données pour l’hydrométrie et l’hydrologie. Ministry of Ecological and solidarity Transition, France. http://hydro.eaufrance.fr
  6. Boé J, Terray L, Habets F, Martin E (2006) A simple statistical-dynamical downscaling scheme based on weather types and conditional resampling. J Geophys Res 111:D23106.  https://doi.org/10.1029/2005JD006889 CrossRefGoogle Scholar
  7. Brouyère S, Carabin G, Dassargues A (2004) Climate change impacts on groundwater resources: modelled deficits in a chalky aquifer, Geer basin, Belgium. Hydrogeol J 12:123–134CrossRefGoogle Scholar
  8. Crampon NJ, Roux J-C, Bracq P (1993) Hydrogéologie de la craie en France. Hydrogéologie 2:81–123Google Scholar
  9. de Wit MJM, Hurk B, Warmerdam PMM, Torfs PJJF, Roulin E, Deursen WPA (2007) Impact of climate change on low-flows in the river Meuse. Clim Chang 82(3–4):351–372CrossRefGoogle Scholar
  10. Finger D, Vis M, Huss M, Seibert J (2015) The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments. Water Resour Res 51:1939–1958.  https://doi.org/10.1002/2014WR015712 CrossRefGoogle Scholar
  11. Gascoin S, Ducharne A, Ribstein P, Carli M, Habets F (2009) Adaptation of a catchment-based land surface model to the hydrogeological setting of the Somme River basin (France). J Hydrol 368(1–4):105–116CrossRefGoogle Scholar
  12. Goderniaux P, Brouyère S, Blenkinsop S, Burton A, Fowler HJ, Orban P, Dassargues A (2011) Modeling climate change impacts on groundwater resources using transient stochastic climatic scenarios. Water Resour Res 47:W12516.  https://doi.org/10.1029/2010WR010082 CrossRefGoogle Scholar
  13. Goderniaux P, Brouyère S, Wildemeersch S, Therrien R, Dassargues A (2015) Uncertainty of climate change impact on groundwater reserves: application to a chalk aquifer. J Hydrol 528:108–121.  https://doi.org/10.1016/j.jhydrol.2015.06.018 CrossRefGoogle Scholar
  14. Hannah L (2015) Climate change biology. 2nd Edition, Elsevier. doi: https://doi.org/10.1016/C2013-0-12835-8
  15. IPCC (2007) Climate change 2007: synthesis report. Contributions of working groups I, II, and III to the fourth assessment report of the intergovernmental panel on climate change. IPCC, Geneva, SwitzerlandGoogle Scholar
  16. IPCC (2014) Climate change 2014: synthesis report. Contributions of working groups I, II, and III to the fifth assessment report of the intergovernmental panel on climate change. IPCC, Geneva, SwitzerlandGoogle Scholar
  17. Jackson CR, Meister R, Prudhomme C (2011) Modelling the effects of climate change and its uncertainty on UK chalk groundwater resources from an ensemble of global climate model projections. J Hydrol 399:12–28CrossRefGoogle Scholar
  18. Li W, Sankarasubramanian A (2012) Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combinations. Water Resour Res 48:W12516.  https://doi.org/10.1029/2011WR011380 Google Scholar
  19. Loàciga HA (2003) Climate change and ground water. Annal Assoc Am Geogr 2(1):30–41CrossRefGoogle Scholar
  20. Mathias SA, Butler A, McIntyre N, Wheater HS (2005) The significance of flow in the matrix of the chalk unsaturated zone. J Hydrol 310(1–4):62–77CrossRefGoogle Scholar
  21. Milly PCD, Dunne KA, Vecchia AV (2005) Global pattern of trends in streamflow and water availability in a changing climate. Nature 438:347–350CrossRefGoogle Scholar
  22. Nohara D, Kitoh A, Hosaka M, Oki T (2006) Impact of climate change on river discharge projected by multimodel ensemble. J Hydrometeorol 7:1076–1089CrossRefGoogle Scholar
  23. Pointet T, Amraoui N, Golaz C, Mardhel V, Ph N, Pennequin D, Pinault J-L (2003) Contribution of groundwaters to the exceptional flood of the Somme river in 2001, observation, assumptions, modeling. La Houille Blanche 6:112–122CrossRefGoogle Scholar
  24. Price M (1993) Groundwater movement in the chalk aquifer in England. Hydrogéologie 2:147–150Google Scholar
  25. Quintana-Seguí P, Le Moigne P et al (2008) Analysis of near-surface atmospheric variables: validation of the SAFRAN analysis over France. J App Meteo Clim 47:92–107CrossRefGoogle Scholar
  26. Roux J-C (1965) Hydrogéologie du bassin de la Somme. Bulletin BRGM 3:1–44Google Scholar
  27. Roux J-C (1978) Les écoulements de type karstique dans la craie de Normandie. Mémoires BRGM 1:531–553Google Scholar
  28. Scibek J, Allen DM (2006) Modeled impacts of predicted climate change on recharge and groundwater levels. Water Resour Res 42:W11405.  https://doi.org/10.1029/2005WR004742 CrossRefGoogle Scholar
  29. Skoulikaris C, Ganoulis J (2011) Assessing climate change impacts at river basin scale by integrating global circulation models with regional hydrological simulations. Eur Water 34:55–62Google Scholar
  30. Sulis M, Paniconi C, Marrocu M, Huard D, Chaumont D (2012) Hydrologic response to multimodel climate output using a physically based model of groundwater/surface water interactions. Water Resour Res 48:W12510.  https://doi.org/10.1029/2012WR012304 CrossRefGoogle Scholar
  31. Taylor RG, Scanlon B et al (2013) Ground water and climate change. Nat Clim Change 3:322–329CrossRefGoogle Scholar
  32. Thiéry D. (2015a) Validation du code de calcul GARDÉNIA par modélisations physiques comparatives. Report BRGM/RP-64500-FRGoogle Scholar
  33. Thiéry D (2015b) Code de calcul MARTHE – Modélisation 3D des écoulements dans les hydrosystèmes - Notice d’utilisation de la version 7.5. Rapport BRGM/RP-64554-FRGoogle Scholar
  34. Thiéry D, Amraoui N, Noyer ML (2018) Modelling flow and heat transfer through unsaturated chalk – validation with experimental data from the ground surface to the aquifer. J Hydrol 556C:660–673CrossRefGoogle Scholar
  35. Vidal JP, Martin E, Franchistéguy L, Baillon M, Soubeyroux JM (2010) A 50-year high-resolution atmospheric reanalysis over France with the SAFRAN system. J Climatol 30:1627–1644CrossRefGoogle Scholar
  36. Wilby RL, Harris I (2006) A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the river Thames, UK. Water Resour Res 42:W02419.  https://doi.org/10.1029/2005WR004065 CrossRefGoogle Scholar
  37. Wilby RL, Whitehead PG, Wade AJ, Butterfield D, Davies RJ, Watts G (2006) Integrated modeling of climate change impacts on water resources and quality in a lowland catchment: river Kennet, UK. J Hydrol 330:204–220CrossRefGoogle Scholar
  38. Xu C (1999) Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resour Manag 13(5):369–382CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Water Environment and Ecotechnologies DivisionBRGMOrléans Cedex 2France

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