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A Generalized Dynamic Programming Modelling Approach for Integrated Reservoir Operation

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Abstract

In water resource systems, the demands at each reservoir are generally known. However, in the integrated operation of a system involving inter-basin water transfers, the import/export of water among various reservoirs also plays an important role in the sustainable and optimal management of available water. Generally, a trial and error approach is adopted to simulate a system for integrated operation. Prior information on water resettlements among reservoirs would be helpful for facilitating the integrated management of these systems. In the present study, a generalized inventory-based dynamic programming model is developed to evaluate the water transfers between reservoirs in the Alqueva subsystem. The model offers guidelines on water transfers among reservoirs and estimates the overall amount of water to be pumped from the Alqueva reservoir to subsidize the shortfalls in the Alqueva subsystem. The proposed methodology may be adapted to other complex systems to promote integrated operations, and the model may be useful for design and operational purposes.

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References

  • Abbott M, Bathurst J, Cunge J, O'connell P, Rasmussen J (1986) An introduction to the European hydrological system-Systeme Hydrologique Europeen, "SHE", 2: structure of a physically-based, distributed modelling system. J Hydrol 87:61–77

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration —guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. Food and Agriculture Organization, Rome

  • Barrona A, Oliveira R (2015) Simulation of the operation of the Alqueva-Pedrógão system for the water supply and production of energy IST Lisbon. https://fenix.tecnico.ulisboa.pt/downloadFile/1126295043834940/EA.pdf

  • Bathurst JC, O'connell PE (1992) Future of distributed modelling: the Système Hydrologique Européen. Hydrol Process 6:265–277

    Article  Google Scholar 

  • Boken VK, Cracknell AP, Heathcote RL (2005) Monitoring and predicting agricultural drought: a global study. Oxford University Press, New York

    Google Scholar 

  • Clarke D, Smith M, El-Askari K (1998) New software for crop water requirements and irrigation scheduling. Irrig Drain 47(2):45–58

    Google Scholar 

  • EDIA (2003) Projecto de execução do troço de ligação Alvito-Pisão e respectivos blocos de rega: Estudo comparativo de alternativas-Part 1 Empresa de Desenvolvimento e Infra-estruturas do Alqueva (EDIA)

  • EDIA (2017) Empresa de Desenvolvimento e Infra-estruturas do Alqueva. Report & Accounts. Fiscal year 2017. EDIA

  • Ewen J, Parkin G (1996) Validation of catchment models for predicting land-use and climate change impacts. 1. Method. J Hydrol 175:583–594. https://doi.org/10.1016/S0022-1694(96)80026-6

    Article  Google Scholar 

  • Ewen J, Parkin G, O'Connell PE (2000) SHETRAN: distributed river basin flow and transport modeling system. J Hydrol Eng 5:250–258

    Article  Google Scholar 

  • Fallah-Mehdipour E, Bozorg Haddad O, Marino M (2012) Extraction of multicrop planning rules in a reservoir system: Application of evolutionary algorithms. J Irrig Drain Eng 139:490–498

    Article  Google Scholar 

  • Feng Z-K, Niu W-J, Cheng C-T, Wu X-Y (2017) Optimization of hydropower system operation by uniform dynamic programming for dimensionality reduction. Energy 134:718–730

    Article  Google Scholar 

  • Giles JE, Wunderlich WO (1981) Weekly multipurpose planning model for TVA reservoir system Journal of Water Resources Planning and Management ASCE 107:495–511

  • Gu W, Shao D, Tan X, Shu C, Wu Z (2017) Simulation and optimization of multi-reservoir operation in inter-basin water transfer system. Water Resour Manag 31(11):3401–3412

    Article  Google Scholar 

  • Guo X, Hu T, Zhang T, Lv Y (2012) Bilevel model for multi-reservoir operating policy in inter-basin water transfer-supply project. J Hydrol 424:252–263

    Article  Google Scholar 

  • Haimes YY (1977) Hierarchical analysis of water resources systems. McGraw-Hill Inc, New York

    Google Scholar 

  • Hall WA, Harboe RC, Askew AJ (1969) Optimum firm power output from a two reservoir system by incremental dynamic programming. Water Resources Center, Contribution n. 30 University of California Los Angeles

  • INMG (1991) O clima de Portugal. Normais climatológicas da região “Alentejo e Algarve” correspondentes a 1951-1980 Fascículo XLIX (vol 4) Lisboa

  • Khandelwal S, Dhiman S (2018) Optimal allocation of land and water resources in a canal command area in the deterministic and stochastic regimes. Water Resour Manag 32(5):1569–1584

    Article  Google Scholar 

  • Labadie J (2004) Optimal operation of multireservoir systems: state-of-the-art review. Journal of Water Resources Planning and Management 130:93–111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93)

  • Mohammad GM (2017) Optimization model for Hirmand River basin water resources in the agricultural sector using stochastic dynamic programming under uncertainty conditions. In: Berebbia CA (ed) water and society IV, WIT Transactions on Ecology and The Environment 216:49–59

  • Mourato S, Moreira M, Corte-Real J (2015) Water resources impact assessment under climate change scenarios in mediterranean watersheds. Water Resour Manag 29:2377–2391

    Article  Google Scholar 

  • Op de Hipt F, Diekkrüger B, Steup G, Yira Y, Hoffmann T, Rode M (2017) Applying SHETRAN in a tropical west African catchment (Dano, Burkina Faso)—calibration, validation, uncertainty assessment. Water 9(2):101

    Article  Google Scholar 

  • Pant M, Thangaraj R, Rani D, Abraham A, Srivastava DK (2010) Estimation of optimal crop plan using nature inspired metaheuristics. World Journal of Modelling and Simulation 6(2):97–109

    Google Scholar 

  • Paudyal GN, Gupta AD (1990) Irrigation planning by multilevel optimization. J Irrig Drain Eng 116:273–291

    Article  Google Scholar 

  • Peng Y, Chu J, Peng A, Zhou H (2015) Optimization operation model coupled with improving water-transfer rules and hedging rules for inter-basin water transfer-supply systems. Water Resour Manag 29(10):3787–3806

    Article  Google Scholar 

  • Raju KS, Kumar DN (2004) Irrigation planning using genetic algorithms. Water Resour Manag 18:163–176

    Article  Google Scholar 

  • Rani D, Moreira M (2010) Simulation-optimization modeling: a survey and potential application in reservoir systems operation. Water Resour Manag 24(6):1107–1138

    Article  Google Scholar 

  • Rani D, Srivastava, DK, Gulati TR (2005) Derivation and selection of intra-basin water transfer policy for PAV link project. In: Proc. XII World Water Congress of IWRA–Water for Sustainable Developments–Towards Innovative Solutions

  • Rani D, Moreira MM, Mourato S (2008) Preliminary analysis of Alvito-Odivelas reservoir system operation under climate change scenarios In: López-Francos A (ed) Drought management: scientific and technological innovations, Zaragoza, Spain, Options Méditerranéennes, Series A 80, pp 133–138

  • Rani D, Srivastava DK, Gulati TR (2016) A set of linked optimization models for an inter-basin water transfer. Hydrol Sci J 61(2):371–392

    Article  Google Scholar 

  • Saxton K, Rawls W (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J 70:1569–1578

    Article  Google Scholar 

  • Sethi LN, Panda SN, Nayak MK (2006) Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India. Agric Water Manag 83:209–220

    Article  Google Scholar 

  • Singh D, Jaiswal C, Reddy K, Singh R, Bhandarkar D (2001) Optimal cropping pattern in a canal command area. Agric Water Manag 50:1–8

    Article  Google Scholar 

  • Wang Q, Zhou H, Liang G, Xu H (2015) Optimal operation of bidirectional inter-basin water transfer-supply system. Water Resour Manag 29(9):3037–3054

  • Yi J, Labadie JW, Stitt S (2003) Dynamic optimal unit commitment and loading in hydropower systems. J Water Resour Plan Manag 129:388–398

    Article  Google Scholar 

  • Yurtal R, Seckin G, Ardiclioglu G (2005) Hydropower optimization for the lower Seyhan system in Turkey using dynamic programming. Water Int 30:522–529

    Article  Google Scholar 

  • Zeng X, Hu T, Guo X, Li X (2014) Water transfer triggering mechanism for multi-reservoir operation in inter-basin water transfer-supply project. Water Resour Manag 28(5):1293–1308

    Article  Google Scholar 

  • Zhang R, Corte-Real J, Moreira M (2015) Multi-objective calibration of the physically based, spatially distributed SHETRAN hydrological model. J Hydroinf 18(3):428–445

    Article  Google Scholar 

  • Zhang R, Corte-Real J, Moreira M, Kilsby C, Birkinshaw S, Burton A, Fowler H, Forsythe N, Nunes JP, Sampaio E, dos Santos F, Mourato S (2019) Downscaling climate change of water availability, sediment yield and extreme events: application to a Mediterranean climate basin. Int J Climatol 39(6):2947–2963

    Article  Google Scholar 

  • Zhao T, Zhao J, Lei X, Wang X, Wu B (2017) Improved dynamic programming for reservoir flood control operation. Water Resour Manag 31:2047–2063

    Article  Google Scholar 

  • Zhou H, Peng H, Zhang C (2007) An interactive fuzzy multi-objective optimization approach for crop planning and water resources allocation. In: Bio-inspired computational intelligence and applications. Springer, pp 335–346 ISBN 978-3-540-74769-7

Download references

Acknowledgments

This work is funded by National Funds through FCT- Foundation for Science and Technology under the Project UID/AGRO/00115/2013 and postdoctoral grant (SFRH/BPD 26929/2006). The assistance of Prof. Luis Leopoldo Silva and Prof. Luis Fernandes, University of Évora, in providing useful information about the crops is also gratefully acknowledged.

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Author notes

  1. Deepti Rani

    Present address: National Institute of Hydrology, Roorkee, India

Authors and Affiliations

  1. MED – Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Évora, Portugal

    Deepti Rani

  2. ESTG – Polytechnic Institute of Leiria, Portugal; MED – Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Évora, Portugal

    Sandra Mourato

  3. MED – Mediterranean Institute for Agriculture, Environment and Development, Departamento de Engenharia Rural, Universidade de Évora, Évora, Portugal

    Madalena Moreira

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  1. Deepti Rani
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  2. Sandra Mourato
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Correspondence to Sandra Mourato.

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Rani, D., Mourato, S. & Moreira, M. A Generalized Dynamic Programming Modelling Approach for Integrated Reservoir Operation. Water Resour Manage 34, 1335–1351 (2020). https://doi.org/10.1007/s11269-020-02505-8

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