Abstract
This study focuses on the analysis of uncertainties in hydrologic series and their impact on water resources management decisions. The methodology is based on Monte Carlo simulation, where relevant parameters on the rainfall-runoff processes of a hydrologic model were sampled from suitable probability distributions in order to analyse the probability distribution of output variables in a water resources system model. The procedure was applied to three water resources systems in the Duero basin (Spain). Results showed that the performances of the water resources systems are very sensitive to uncertainties in the model input. The deviation from the reliabilities or cumulated supply deficits obtained in the water resources systems compared to the reference inflows was much larger when the perturbations were unfavourable than when they were favourable. This suggests that the uncertainty analysis may have important implications when using these performance measures of the water resources system in decision making, particularly in dry years. The uncertainty on hydrologic variables may change dramatically our assessment of the performance of a water resources system and thus hydrologic inputs should be evaluated with extreme care.
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References
Alemu ET, Palmer RN, Polebitski A et al (2011) Decision support system for optimizing reservoir operations using ensemble streamflow predictions. J Water Resour Plan Manag 137:72–82
Alvarez J, Sánchez A, Quinta L (2004) SIMPA, a GRASS based tool for Hydrological Studies. Proceedings of the FOSS/GRASS users Conference, Bangkok, Thailand, 12–14 September 2004
Bardossy A, Pegram G (2012) Multiscale spatial recorrelation of RCM precipitation to produce unbiased climate change scenarios over large areas and small. Water Resour Res 48:W09502
Chavez-Jimenez A, De Lama B, Garrote L et al (2013) Characterisation of the sensitivity of water resources systems to climate change. Water Resour Manag 27:4237–4258
Chen J, Brissette FP, Poulin A et al (2011) Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resour Res 47:W12509
Dunn SM, Brown I, Sample J et al (2012) Relationships between climate, water resources, land use and diffuse pollution and the significance of uncertainty in climate change. J Hydrol 434(435):19–35
Estrela T, Quintas L (1996) El sistema integrado de modelización precipitación aportación (SIMPA). Revista de Ingeniería Civil 104:43–52
Folke C, Carpenter S, Walker B et al (2004) Regime shifts, resilience and biodiversity in ecosystem management. Annu Rev Ecol Syst 35:557–581
Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modeling. Int J Climatol 27(12):1547–1578
Garrote L, Iglesias A, Granados A et al (2015) Quantitative assessment of climate change vulnerability of irrigation demands in Mediterranean Europe. Water Resour Manag 29:325–338
González-Zeas D, Garrote L, Iglesias A et al (2012) Improving runoff estimates from regional climate models: a performance analysis in Spain. Hydrol Earth Syst Sci 16:1709–1723
Hall JW, Watts G, Keil M et al (2012) Towards risk-based water resources planning in England and Wales under a changing climate. Water Environ J 26:118–129
Hamilton LC, Keim BD (2009) Regional variation in perceptions about climate change. Int J Climatol 29(15):2348–2352
Hsu SY, Tung CP, Chen CJ et al (2004) Application to reservoir operation rule-curves. ASCE Conference Proc 138:304–314
Iglesias A, Garrote L, Flores F et al (2007) Challenges to manage the risk of water scarcity and climate change in the Mediterranean. Water Resour Manag 21(5):775–788
Janke S, Tinsley F (2005) Introduction to linear Models and Statistical Inference. John Wiley & Sons, New Jersey
Knight K (1999) Mathematical Statistics. Chapman and Hall, New York
Leith NA, Chandler RE (2010) A framework for interpreting climate model outputs. J Roy Stat Soc: Ser C (Appl Stat) 59(2):279–296
Mastrandrea MD, Heller NE, Root TL et al (2010) Bridging the gap: linking climate-impacts research with adaptation planning and management. Clim Chang 100(1):87–101
Murphy JM, Sexton DMH, Jenkins GJ et al (2009) UK Climate Projections Science Report: Climate change projections. Met Office Hadley Centre, Exeter
Nazemi A, Wheater HS (2014) How can the uncertainty in the natural inflow regime propagate into the assessment of water resource systems? Adv Water Resour 63:131–142
Norusis M (2011) IBM SPSS Statistics 19. Guide to Data Analysis. Prentice Hall, New Jersey
Parker JM, Wilby RL (2013) Quantifying household water demand: a review of theory and practice in the UK. Water Resour Manag 27:9581–1011
Poff L, Brown CM, Grantham TE et al (2015) Sustainable water management under future uncertainty with eco-engineering decision scaling. Nat Clim Chang. doi:10.1038/NCLIMATE2765
Prudhomme C, Davies H (2009) Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 1: baseline climate. Clim Chang 93:177–195
Rossi G, Caporali E, Garrote L (2011) Definition of risk indicators for reservoirs management optimization. Water Resour Manag 26(4):981–996
Simonovic SP (2009) Managing Water Resources: Methods and Tools for a Systems Approach. UNESCO Publishing, Paris
Steinschneider S, Wi S, Brown C (2014) The integrated effects of climate and hydrologic uncertainty on future flood risk assessments. Hydrol Process 29:2823–2839
Westerberg IK, Wagener T, Coxon G et al (2016) Uncertainty in hydrological signatures for gauged and ungauged catchments. Water Resour Res 52:1847–1865
World Water Assessment Programme (WWAP (2012) The United Nations World Water Development Report 4: Managing Water under Uncertainty and Risk. UNESCO, Paris
Yao H, Georgakakos A (2001) Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management. J Hydrol 249:176–196
Acknowledgments
The authors would like to thank the European Commission for the funding received for this research through project “DURERO: Duero river basin: water resources, water accounts and target sustainability indices”, Grant Agreement: 07.0329/2013/671322/SUB/ENV. Appreciation is also shown to the funds from Fundación José Entrecanales Ibarra in the framework of the Program “Support program for young professors for doing international stays”.
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Sordo-Ward, Á., Granados, I., Martín-Carrasco, F. et al. Impact of Hydrological Uncertainty on Water Management Decisions. Water Resour Manage 30, 5535–5551 (2016). https://doi.org/10.1007/s11269-016-1505-5
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DOI: https://doi.org/10.1007/s11269-016-1505-5