Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system

[1] The sources of uncertainty in projecting the impacts of climate change on runoff are increasingly well recognized; however, translating these uncertainties to urban water security has received less attention in the literature. Furthermore, runoff cannot be used as a surrogate for water supply security when studying the impacts of climate change due to the nonlinear transformations in modeling water supply and the effects of additional uncertainties, such as demand. Consequently, this study presents a scenario-based sensitivity analysis to qualitatively rank the relative contributions of major sources of uncertainty in projecting the impacts of climate change on water supply security through time. This can then be used by water authorities to guide water planning and management decisions. The southern system of Adelaide, South Australia, is used to illustrate the methodology for which water supply system reliability is examined across six greenhouse gas (GHG) emissions scenarios, seven general circulation models, six demand projections, and 1000 stochastic rainfall time series. Results indicate the order of the relative contributions of uncertainty changes through time; however, demand is always the greatest source of uncertainty and GHG emissions scenarios the least. In general, reliability decreases over the planning horizon, illustrating the need for additional water sources or demand mitigation, while increasing uncertainty with time suggests flexible management is required to ensure future supply security with minimum regret.

[1]  Jin Teng,et al.  Influence of global climate model selection on runoff impact assessment. , 2009 .

[2]  P. Coulibaly,et al.  Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models , 2005 .

[3]  H. Fowler,et al.  Modeling the impacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system , 2003 .

[4]  Geoffrey G. S. Pegram,et al.  A nested multisite daily rainfall stochastic generation model , 2009 .

[5]  H. Fowler,et al.  Modeling the impacts of future climate change on water resources for the Gállego river basin (Spain) , 2012 .

[6]  M. Collins,et al.  El Niño in a changing climate: a multi-model study , 2005 .

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

[8]  Kristen Averyt,et al.  Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[9]  Robert L. Wilby,et al.  Integrated modelling of climate change impacts on water resources and quality in a lowland catchment: River Kennet, UK , 2006 .

[10]  Suraje Dessai,et al.  Robust adaptation to climate change , 2010 .

[11]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[12]  Jay R. Lund,et al.  ESTIMATED IMPACTS OF CLIMATE WARMING ON CALIFORNIA WATER AVAILABILITY UNDER TWELVE FUTURE CLIMATE SCENARIOS 1 , 2005 .

[13]  C. Tebaldi,et al.  Developing and applying uncertain global climate change projections for regional water management planning , 2008 .

[14]  Z. Kaczmarek Climate Change Impacts on the Water Supply System in the Warta River Catchment, Poland , 1996 .

[15]  Patricia Gober,et al.  Water Planning Under Climatic Uncertainty in Phoenix: Why We Need a New Paradigm , 2010 .

[16]  Jaclyn N. Brown,et al.  Evaluating global climate models for the Pacific island region , 2011 .

[17]  Australian synthetic daily Class A pan evaporation , 2006 .

[18]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[19]  Alexei G. Sankovski,et al.  Special report on emissions scenarios : a special report of Working group III of the Intergovernmental Panel on Climate Change , 2000 .

[20]  Sebastian Vicuna,et al.  Basin‐scale water system operations with uncertain future climate conditions: Methodology and case studies , 2010 .

[21]  R. Leconte,et al.  Uncertainty of downscaling method in quantifying the impact of climate change on hydrology , 2011 .

[22]  Hoshin Vijai Gupta,et al.  Rainfall-runoff modelling in gauged and ungauged catchments , 2004 .

[23]  Q. J. Wang The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-Runoff Models , 1991 .

[24]  J. Vaze,et al.  Assessment of rainfall simulations from global climate models and implications for climate change impact on runoff studies , 2009 .

[25]  J. Arnold,et al.  HYDROLOGICAL MODELING OF THE IROQUOIS RIVER WATERSHED USING HSPF AND SWAT 1 , 2005 .

[26]  Robert L. Wilby,et al.  From climate model ensembles to climate change impacts and adaptation: A case study of water resource management in the southwest of England , 2009 .

[27]  D. Randall,et al.  Climate models and their evaluation , 2007 .

[28]  R. Leconte,et al.  Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed , 2011 .

[29]  H. Fowler,et al.  Regional Climate Downscaling , 2010 .

[30]  Richard N. Palmer,et al.  Estimating the Impacts and Uncertainty of Climate Change on a Municipal Water Supply System , 2008 .

[31]  Frigyes Csáki,et al.  2nd International Symposium on Information Theory, Tsahkadsor, Armenia, USSR, September 2-8, 1971 : [papers] , 1973 .

[32]  R. Wilby,et al.  A comparison of statistical downscaling and climate change factor methods: impacts on low flows in the River Thames, United Kingdom , 2005 .

[33]  C. Coburn,et al.  Simulating the hydrological response to predicted climate change on a watershed in southern Alberta, Canada , 2011 .

[34]  Keith Beven,et al.  A manifesto for the equifinality thesis , 2006 .

[35]  S. Jain,et al.  Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index , 2008 .

[36]  Kim S. Teoh Estimating the impact of current farm dams development on the surface water resources of the Onkaparinga River Catchment , 2003 .

[37]  Julien Boé,et al.  Projected changes in components of the hydrological cycle in French river basins during the 21st century , 2009 .

[38]  F. Chiew,et al.  Influence of Rainfall Scenario Construction Methods on Runoff Projections , 2009 .

[39]  David Kent,et al.  Use of Representative Climate Futures in impact and adaptation assessment , 2012, Climatic Change.

[40]  John O. Carter,et al.  Using spatial interpolation to construct a comprehensive archive of Australian climate data , 2001, Environ. Model. Softw..

[41]  Lily House-Peters,et al.  Urban water demand modeling: Review of concepts, methods, and organizing principles , 2011 .

[42]  Claudia Pahl-Wostl,et al.  Transitions towards adaptive management of water facing climate and global change , 2006 .

[43]  F. I. Morton Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology , 1983 .

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

[45]  Jim W Hall,et al.  Using probabilistic climate change information from a multimodel ensemble for water resources assessment , 2009 .

[46]  R Srikanthan,et al.  Stochastic Generation of Daily Rainfall Data , 2005 .

[47]  S. Charles,et al.  Comparison of runoff modelled using rainfall from different downscaling methods for historical and future climates , 2010 .

[48]  R. Palmer,et al.  Impacts of Future Climate Conditions and Forecasted Population Growth on Water Supply Systems in the Puget Sound Region , 2011 .

[49]  R. Wilby,et al.  A framework for assessing uncertainties in climate change impacts: Low‐flow scenarios for the River Thames, UK , 2006 .

[50]  Jens Christian Refsgaard,et al.  Construction, Calibration And Validation of Hydrological Models , 1990 .

[51]  T. McMahon,et al.  Stochastic generation of annual, monthly and daily climate data: A review , 2001 .

[52]  Hubert H. G. Savenije,et al.  Model complexity control for hydrologic prediction , 2008 .

[53]  P. Whetton,et al.  Providing application-specific climate projections datasets: CSIRO's Climate Futures Framework , 2011 .

[54]  M. J. Hall,et al.  Rainfall-Runoff Modelling , 2004 .

[55]  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 .

[56]  J. Vaze,et al.  Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method , 2009 .

[57]  K. Georgakakos,et al.  Quantifying the Urban Water Supply Impacts of Climate Change , 2007 .

[58]  Graeme C. Dandy,et al.  Optimal Operation of Multiple-Reservoir System , 1993 .

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

[60]  Francis H. S. Chiew,et al.  Modelling the impacts of climate change on Australian streamflow , 2002 .

[61]  Andrew J. Pitman,et al.  Do weak AR4 models bias projections of future climate changes over Australia? , 2009 .

[62]  H. Bozdogan Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[63]  Casey Brown,et al.  Special Section on Climate Change and Water Resources: Climate Nonstationarity and Water Resources Management , 2012 .