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Integrated Assessment of Water Reservoir Systems Performance with the Implementation of Ecological Flows under Varying Climatic Conditions

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Abstract

Projections of future climate relying on the use of climate models are still uncertain but decision makers are compelled to analyse the potential impacts of climate variability. The methodology presented in this paper can be widely used with a very large set of climate projections that are available today to the scientific community to generate input data at the watershed scale for the simulation and evaluation of water reservoir systems operation considering the implementation of ecological flows. The conceptual framework was applied to the analysis of Odeleite-Beliche multi-reservoir system in southern Portugal. In the selected case study, climate projections of monthly precipitation and temperature for the period 2021–2050 were obtained from the EURO-CORDEX initiative database; adjustment of climate projections was made with the quantile mapping method; natural inflows to the reservoirs were estimated with the Temez hydrological model; AQUATOOL was used in water system simulation; and reliability, resilience, vulnerability and dimensionless maximum deficit were used as performance criteria indicators. Two management perspectives were considered by prioritizing the water supply or the ecological flows. The results showed greater variation in the impacts on the water supply due to differences in the natural inflows generated from diverse climate projections compared to the results obtained with a different prioritization scheme. Failures in meeting current maximum withdrawals on Odeleite-Beliche multi-reservoir system with the implementation of ecological flows were registered only with climate projections that anticipate reductions of the natural inflows higher than 10% compared to natural inflows estimated by hydrological modelling using historical meteorological data.

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References

  • APA - Agência Portuguesa do Ambiente [Portuguese Environment Agency] (2016) Plano de Gestão de Região Hidrográfica do Guadiana (RH7) - Programas de Medidas [River Basin Management Plan of Guadiana (RH7) - Programmes of Measures]. Agência Portuguesa do Ambiente, Lisbon

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop requirements. FAO irrigation and drainage paper no. 56. FAO - food and agriculture Organization of the United Nations, Rome

    Google Scholar 

  • Alves MH, Bernardo JM (2003) Caudais Ecológicos em Portugal [Ecological Flows in Portugal]. INAG - Instituto da Água [Water Institute], Lisbon

    Google Scholar 

  • Andreu J, Capilla J, Sanchis E (1996) AQUATOOL, a generalized decision-support system for water-resources planning and operational management. J Hydrol 177(3–4):269–291

    Article  Google Scholar 

  • Asefa T, Clayton J, Adams A, Anderson D (2014) Performance evaluation of a water resources system under varying climatic conditions: reliability, resilience, vulnerability and beyond. J Hydrol 508:53–65. https://doi.org/10.1016/j.jhydrol.2013.10.043

    Article  Google Scholar 

  • Ashofteh PS, Rajaee T, Golfam P (2017) Assessment of water resources development projects under conditions of climate change using efficiency indexes (EIs). Water Resour Manag 31(12):3723–3744. https://doi.org/10.1007/s11269-017-1701-y

    Article  Google Scholar 

  • Chen J, Brissette FP, Poulin A, Leconte R (2011) Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resour Res 47(12):W12509. https://doi.org/10.1029/2011wr010602

    Article  Google Scholar 

  • Christensen JH, Christensen OB (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Clim Chang 81:7–30. https://doi.org/10.1007/s10584-006-9210-7

    Article  Google Scholar 

  • Crawford NH, Linsley RK (1966) Digital simulation in hydrology: Stanford watershed model IV. Technical report no. 39. Department of Civil Engineering, Stanford University, Stanford, CA

  • Directive 2000/60/EC of the European Parliament and of the Council. Official Journal of the European Communities L327(2000):1–73

  • Dobler C, Hagemann S, Wilby RL, Stotter J (2012) Quantifying different sources of uncertainty in hydrological projections in an alpine watershed. Hydrol Earth Syst Sci 16(11):4343–4360. https://doi.org/10.5194/hess-16-4343-2012

    Article  Google Scholar 

  • EC - European Commission (2012) Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions - A Blueprint to Safeguard Europe's Water Resource. COM(2012) 673 final. European Commission, Brussels

    Google Scholar 

  • EC - European Commission (2015) Commission Staff Working Document - Report on the Implementation of the Water Framework Directive River Basin Management Plans - Member State: Portugal. SWD(2015) 55 final. European Commission, Brussels

    Google Scholar 

  • Giorgetta MA et al (2013) Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the coupled model Intercomparison project phase 5. J Adv Model Earth Syst 5(3):572–597. https://doi.org/10.1002/jame.20038

    Article  Google Scholar 

  • Gohari A, Mirchi A, Madani K (2017) System dynamics evaluation of climate change adaptation strategies for water resources management in Central Iran. Water Resour Manag 31(5):1413–1434. https://doi.org/10.1007/s11269-017-1575-z

    Article  Google Scholar 

  • Gomes S et al. (2016) The Portuguese Climate Portal. In: EGU 2016 - European Geosciences Union general assembly 2016. Published in geophysical research abstracts, Vol. 18, EGU2016–16517. European Geosciences Union, Vienna

  • Gudmundsson L, Bremnes JB, Haugen JE, Engen-Skaugen T (2012) Technical note: downscaling RCM precipitation to the station scale using statistical transformations - a comparison of methods. Hydrol Earth Syst Sci 16(9):3383–3390. https://doi.org/10.5194/hess-16-3383-2012

    Article  Google Scholar 

  • Gudmundsson L (2016) Statistical transformations for post-processing climate model output. R package ‘qmap’, Version 1.0–4

  • Hashimoto T, Stedinger JR, Loucks DP (1982) Reliability, resiliency, and vulnerability criteria for water-resource system performance evaluation. Water Resour Res 18(1):14–20

    Article  Google Scholar 

  • Hazeleger W et al (2010) EC-Earth: a seamless Earth-system prediction approach in action. Bull Am Meteorol Soc 91(10):1357–1363. https://doi.org/10.1175/2010BAMS2877.1

    Article  Google Scholar 

  • Hernández-Bedolla J, Solera A, Paredes-Arquiola J, Pedro-Monzonis M, Andreu J, Sanchez-Quispe ST (2017) The assessment of sustainability indexes and climate change impacts on integrated water resource management. Water 9(3):213. https://doi.org/10.3390/w9030213

    Article  Google Scholar 

  • Hidroprojecto A (2005) Reforço do Abastecimento de Água ao Algarve - Estudo Técnico-Económico [expansion of the water supply to the Algarve - technical-economic study]. Techical Report, Lisbon

    Google Scholar 

  • IPCC - Intergovernmental Panel on Climate Change (2014) Climate change 2014 - synthesis report. Contribution of working groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva

    Google Scholar 

  • Jacob D et al (2014) EURO-CORDEX: new high-resolution climate change projections for European impact research. Reg Environ Chang 14(2):563–578. https://doi.org/10.1007/s10113-013-0499-2

    Article  Google Scholar 

  • Jain SK (2010) Investigating the behavior of statistical indices for performance assessment of a reservoir. J Hydrol 391(1–2):92–98. https://doi.org/10.1016/j.jhydrol.2010.07.009

    Article  Google Scholar 

  • Karamouz M, Mohammadpour P, Mahmoodzadeh D (2017) Assessment of sustainability in water supply-demand considering uncertainties. Water Resour Manag 31(12):3761–3778. https://doi.org/10.1007/s11269-017-1703-9

    Article  Google Scholar 

  • Kay AL, Davies HN, Bell VA, Jones RG (2009) Comparison of uncertainty sources for climate change impacts: flood frequency in England. Clim Chang 92(1–2):41–63. https://doi.org/10.1007/s10584-008-9471-4

    Article  Google Scholar 

  • Kjeldsen TR, Rosbjerg D (2004) Choice of reliability, resilience and vulnerability estimators for risk assessments of water resources systems. Hydrol Sci J 49(5):755–767

    Article  Google Scholar 

  • Labadie JW, Baldo ML, Larson R (2000) MODSIM: decision support system for River Basin management: documentation and user manual. Colorado State University and U.S. Bureau of Reclamation, Ft Collins, CO

    Google Scholar 

  • Lerma N, Paredes-Arquiola J, Andreu J, Solera A, Sechi GM (2015) Assessment of evolutionary algorithms for optimal operating rules design in real water resource systems. Environ Model Softw 69:425–436. https://doi.org/10.1016/j.envsoft.2014.09.024

    Article  Google Scholar 

  • Lund JR, Guzman J (1999) Derived operating rules for reservoirs in series or in parallel. J Water Resour Plan Manag 125(3):143–153

    Article  Google Scholar 

  • Maia R, Oliveira B, Ramos V, Brekke L, Serralheiro R, Carvalho M, Valverde P (2015) A methodology for climate change integration in water resources management. Application to the Portuguese part of Guadiana River basin. In: 9th world congress of EWRA (EWRA 2015), Istambul, 13p

  • Moss RH et al (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756. https://doi.org/10.1038/nature08823

    Article  Google Scholar 

  • Ngai ST, Tangang F, Juneng L (2017) Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method. Glob Planet Change 149:79–90. https://doi.org/10.1016/j.gloplacha.2016.12.009

    Article  Google Scholar 

  • Nunes LM et al (2009) Relatório Final - Projecto OPTEXPLOR [Final Report - Project OPTEXPLOR]. Universidade do Algarve, IMAR - Universidade de Coimbra, CVRM - Centro de Geossistemas, Faro

    Google Scholar 

  • Ramos V, Vivas E, Brekke L, Maia R (2014) Methodology for the development of climate change scenarios and climate inputs to run impacts models. Application to the Guadiana River basin. In: 3rd IAHR Europe congress, book of proceedings, Porto, 10p

  • Ramos V, Maia R, Formigo N, Oliveira B (2016) Assessment of ecological risk based on projected hydrological alteration. Environ Process 3(3):569–587. https://doi.org/10.1007/s40710-016-0164-0

    Article  Google Scholar 

  • Ramos V, Formigo N, Maia R (2017) Ecological flows and the water framework directive implementation: an effective coevolution? In: Tsakiris G, Tsihrintzis VA, Vangelis H, Tigkas D (eds) Proceedings of the 10th world congress of EWRA on water resources and environment. European Water Resources Association, Athens, pp 2051–2060

    Google Scholar 

  • Safavi HR, Golmohammadi MH, Sandoval-Solis S (2016) Scenario analysis for integrated water resources planning and management under uncertainty in the Zayandehrud river basin. J Hydrol 539:625–639. https://doi.org/10.1016/j.jhydrol.2016.05.073

    Article  Google Scholar 

  • Samuelsson P et al (2011) The Rossby Centre regional climate model RCA3: model description and performance. Tellus Ser A 63(1):4–23. https://doi.org/10.1111/j.1600-0870.2010.00478.x

    Article  Google Scholar 

  • Sandoval-Solis S, McKinney DC, Loucks DP (2011) Sustainability index for water resources planning and management. J Water Resour Plan Manag 137(5):381–390. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000134

    Article  Google Scholar 

  • Simonovic SP (2017) Bringing future climatic change into water resources management practice today. Water Resour Manag 31(10):2933–2950. https://doi.org/10.1007/s11269-017-1704-8

    Article  Google Scholar 

  • Srdjevic Z, Srdjevic B (2017) An extension of the sustainability index definition in water resources planning and management. Water Resour Manag 31(5):1695–1712. https://doi.org/10.1007/s11269-017-1609-6

    Article  Google Scholar 

  • SEI - Stockholm Environment Institute (2005) WEAP: water evaluation and planning system. User Guide, Stockholm Environment Institute, Somerville, MA

    Google Scholar 

  • Sulis A, Sechi GM (2013) Comparison of generic simulation models for water resource systems. Environ Model Softw 40:214–225. https://doi.org/10.1016/j.envsoft.2012.09.012

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93(4):485–498. https://doi.org/10.1175/Bams-D-11-00094.1

    Article  Google Scholar 

  • Temez JR (1977) Modelo Matemático de Transformación Precipitación-Aportación [Rainfall-runoff mathematical model]. Asociación de Investigación Industrial Eléctrica (ASINEL), Madrid

    Google Scholar 

  • Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods. J Hydrol 456:12–29. https://doi.org/10.1016/j.jhydrol.2012.05.052

    Article  Google Scholar 

  • Tharme RE (2003) A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Res and Appl 19(5–6):397–441. https://doi.org/10.1002/rra.736

    Article  Google Scholar 

  • Tseng HW, Gan TY, Yu PS (2015) Composite drought indices of monotonic behaviour for assessing potential impact of climate change to a water resources system. Water Resour Manag 29(7):2341–2359. https://doi.org/10.1007/s11269-015-0945-7

    Article  Google Scholar 

  • van der Linden P, Mitchell JFB (eds) (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, Exeter

    Google Scholar 

  • Vieira J, Cunha MC (2017) Impact of climate change on inflows using refined precipitation and temperature scenarios. In: Tsakiris G, Tsihrintzis VA, Vangelis H, Tigkas D (eds) Proceedings of the 10th world congress of EWRA on water resources and environment. European Water Resources Association, Athens, pp 481–488

    Google Scholar 

  • Voldoire A et al (2013) The CNRM-CM5.1 global climate model: description and basic evaluation. Clim Dyn 40(9–10):2091–2121. https://doi.org/10.1007/s00382-011-1259-y

    Article  Google Scholar 

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Acknowledgements

A previous shorter version of the paper has been presented in the 10th World Congress of EWRA “Panta Rei” Athens, Greece, 5-9 July 2017.

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  1. INESC Coimbra - Institute for Systems Engineering and Computers at Coimbra, Department of Civil Engineering, University of Coimbra, Rua Luís Reis Santos, 3030-788, Coimbra, Portugal

    João Vieira & Maria Conceição Cunha

  2. University of Coimbra, Rua Luís Reis Santos, 3030-788, Coimbra, Portugal

    Ricardo Luís

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  1. João Vieira
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  2. Maria Conceição Cunha
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Correspondence to João Vieira.

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Vieira, J., Cunha, M.C. & Luís, R. Integrated Assessment of Water Reservoir Systems Performance with the Implementation of Ecological Flows under Varying Climatic Conditions. Water Resour Manage 32, 5183–5205 (2018). https://doi.org/10.1007/s11269-018-2153-8

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