Modeling climate change impacts on groundwater resources using transient stochastic climatic scenarios

[1] Several studies have highlighted the potential negative impact of climate change on groundwater reserves, but additional work is required to help water managers plan for future changes. In particular, existing studies provide projections for a stationary climate representative of the end of the century, although information is demanded for the near future. Such time-slice experiments fail to account for the transient nature of climatic changes over the century. Moreover, uncertainty linked to natural climate variability is not explicitly considered in previous studies. In this study we substantially improve upon the state-of-the-art by using a sophisticated transient weather generator in combination with an integrated surface-subsurface hydrological model (Geer basin, Belgium) developed with the nite element modeling software ‘‘HydroGeoSphere.’’ This version of the weather generator enables the stochastic generation of large numbers of equiprobable climatic time series, representing transient climate change, and used to assess impacts in a probabilistic way. For the Geer basin, 30 equiprobable climate change scenarios from 2010 to 2085 have been generated for each of six different regional climate models (RCMs). Results show that

[1]  Kirk G. Osadetz,et al.  Predicting average annual groundwater levels from climatic variables: an empirical model , 2002 .

[2]  S. Grasby,et al.  Relation between climate variability and groundwater levels in the upper carbonate aquifer, southern Manitoba, Canada , 2004 .

[3]  Young-Jin Park,et al.  Simulating complex flow and transport dynamics in an integrated surface-subsurface modeling framework , 2008 .

[4]  Alison L. Kay,et al.  Comparison of uncertainty sources for climate change impacts: flood frequency in England , 2009 .

[5]  Alain Dassargues,et al.  Climate change impacts on groundwater resources: modelled deficits in a chalky aquifer, Geer basin, Belgium , 2004 .

[6]  D. Allen,et al.  Groundwater and climate change: a sensitivity analysis for the Grand Forks aquifer, southern British Columbia, Canada , 2004 .

[7]  P. Maloszewski,et al.  Regional transport modelling for nitrate trend assessment and forecasting in a chalk aquifer. , 2010, Journal of contaminant hydrology.

[8]  Hayley J. Fowler,et al.  Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling , 2007 .

[9]  Alex J. Cannon,et al.  Groundwater–surface water interaction under scenarios of climate change using a high-resolution transient groundwater model , 2007 .

[10]  F. De Smedt,et al.  Effects of climate change on the groundwater system in the Grote-Nete catchment, Belgium , 2007 .

[11]  How can large scale integrated surface - subsurface hydrological model be used to evaluate long term climate change impact on groundwater reserves , 2009 .

[12]  Hayley J. Fowler,et al.  Downscaling transient climate change using a Neyman- Scott Rectangular Pulses stochastic rainfall model , 2010 .

[13]  R. Stouffer,et al.  Stationarity Is Dead: Whither Water Management? , 2008, Science.

[14]  T. Hess,et al.  A comparison of stochastic and deterministic downscaling methods for modelling potential groundwater recharge under climate change in East Anglia, UK: implications for groundwater resource management , 2009 .

[15]  D. Wilks,et al.  The weather generation game: a review of stochastic weather models , 1999 .

[16]  T. D. Mitchell,et al.  Pattern Scaling: An Examination of the Accuracy of the Technique for Describing Future Climates , 2003 .

[17]  C. Harpham,et al.  A daily weather generator for use in climate change studies , 2007, Environ. Model. Softw..

[18]  Richard G. Jones,et al.  An inter-comparison of regional climate models for Europe: model performance in present-day climate , 2007 .

[19]  Glenis,et al.  UK Climate Projections science report: Projections of future daily climate for the UK from the Weather Generator , 2009 .

[20]  P. J. Chilton,et al.  Groundwater and its susceptibility to degradation : a global assessment of the problem and options for management , 2003 .

[21]  J. Neyman,et al.  Statistical Approach to Problems of Cosmology , 1958 .

[22]  H. Loáiciga,et al.  Climate-change impacts in a regional karst aquifer, Texas, USA , 2000 .

[23]  Chris Hewitt,et al.  Ensembles-based predictions of climate changes and their impacts , 2004 .

[24]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[25]  Ashish Sharma,et al.  Accounting for interannual variability: A comparison of options for water resources climate change impact assessments , 2011 .

[26]  S. Brouyère,et al.  Migration of contaminants through the unsaturated zone overlying the Hesbaye chalky aquifer in Belgium: a field investigation. , 2004, Journal of contaminant hydrology.

[27]  Serge Brouyère,et al.  Etude et modélisation du transport et du piégeage des solutés en milieu souterrain variablement saturé. Evaluation des paramètres hydrodispersifs par la réalisation et l'interprétation d'essais de traçage in situ , 2001 .

[28]  Pushpam Kumar Agriculture (Chapter8) in IPCC, 2007: Climate change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[29]  Robert Charlier,et al.  Finite elements modelling of a large water table aquifer in transient conditions , 1988 .

[30]  D. McLaughlin,et al.  Probabilistic analysis of the effects of climate change on groundwater recharge , 2010 .

[31]  Claude Doussan,et al.  Variations of self-potential and unsaturated water flow with time in sandy loam and clay loam soils , 2002 .

[32]  Hayley J. Fowler,et al.  RainSim: A spatial-temporal stochastic rainfall modelling system , 2008, Environ. Model. Softw..

[33]  Diana M. Allen,et al.  Modeled impacts of predicted climate change on recharge and groundwater levels , 2006 .

[34]  I. Holman Climate change impacts on groundwater recharge- uncertainty, shortcomings, and the way forward? , 2006 .

[35]  Richard L. Smith,et al.  Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles , 2005 .

[36]  Marek Korcz,et al.  Comparison of methods for the detection and extrapolation of trends in groundwater quality. , 2009, Journal of environmental monitoring : JEM.

[37]  M. Rummukainen,et al.  Evaluating the performance and utility of regional climate models: the PRUDENCE project , 2007 .

[38]  Michael E. Schlesinger,et al.  Developing climate scenarios from equilibrium GCM results , 1990 .

[39]  K. Kristensen,et al.  A MODEL FOR ESTIMATING ACTUAL EVAPOTRANSPIRATION FROM POTENTIAL EVAPOTRANSPIRATION , 1975 .

[40]  C. Prudhomme,et al.  Downscaling of global climate models for flood frequency analysis: where are we now? , 2002 .

[41]  E. Sudicky,et al.  Simulating the multi-seasonal response of a large-scale watershed with a 3D physically-based hydrologic model , 2008 .

[42]  András Bárdossy,et al.  Downscaling precipitation using regional climate models and circulation patterns toward hydrology , 2011 .

[43]  Torben O. Sonnenborg,et al.  Impact of climate and land use change on the hydrology of a large‐scale agricultural catchment , 2009 .

[44]  Anny Cazenave,et al.  Recent Climate Observations Compared to Projections , 2007, Science.

[45]  D. Allen,et al.  Comparing modelled responses of two high-permeability, unconfined aquifers to predicted climate change , 2006 .

[46]  P. Goderniaux Impact of climate change on groundwater reserves , 2010 .

[47]  Juan B. Valdés,et al.  Modeling climate change impacts – and uncertainty – on the hydrology of a riparian system: The San Pedro Basin (Arizona/Sonora) , 2007 .

[48]  D. Conway,et al.  Simulation of the impacts of climate change on groundwater resources in eastern England , 2002, Geological Society, London, Special Publications.

[49]  Luk Peeters,et al.  Application of a multimodel approach to account for conceptual model and scenario uncertainties in groundwater modelling , 2010 .

[50]  H. Loáiciga Climate Change and Ground Water , 2003 .

[51]  M. Parlange,et al.  Overdispersion phenomenon in stochastic modeling of precipitation , 1998 .

[52]  Reto Knutti,et al.  The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[53]  G. Cawley,et al.  Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/joc.1318 DOWNSCALING HEAVY PRECIPITATION OVER THE UNITED KINGDOM: A COMPARISON OF DYNAMICAL AND STATISTICAL METHODS AND THEIR FUTURE SCENARIOS , 2006 .

[54]  Paul S. P. Cowpertwait,et al.  Further developments of the neyman‐scott clustered point process for modeling rainfall , 1991 .

[55]  H. Fowler,et al.  Large scale surface – subsurface hydrological model to assess climate change impacts on groundwater reserves , 2009 .

[56]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .