Optimizing Reservoir Water Management in a Changing Climate

Pedro Beça (), António C. Rodrigues, João P. Nunes, Paulo Diogo and Babar Mujtaba
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Pedro Beça: University of Lisbon (FCUL/U Lisboa)
António C. Rodrigues: NOVA School of Science and Technology
João P. Nunes: University of Lisbon (FCUL/U Lisboa)
Paulo Diogo: NOVA School of Science and Technology
Babar Mujtaba: NOVA School of Science and Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 9, No 6, 3423-3437

Abstract: Abstract One of the UN agenda 2030 Sustainable Development goals is associated with water availability and its sustainable management. The present study intends to improve multipurpose reservoir management under climate change scenarios in water scarce regions such as the Mediterranean. Implemented methods include the sequential use of climate model results, hydrological modelling, and reservoir water balance simulation, which are used to estimate future water availability. This work focuses on developing an innovative reservoir management approach based on rule curves and a dynamic assessment of water needs, to improve the management of reservoirs that are dependent on a water transfer system. The proposed methods are implemented in two reservoirs located in a typical Mediterranean river basin and assessed under long-term climate change scenarios up to the year 2100. The results show that the proposed approach can ensure 100% of the urban water supply, improve the reliability of the irrigation supply from 75% to 86–91%, and provide 92–98% of the river ecological flow. It is also demonstrated that this management approach is beneficial, particularly in the case of multipurpose reservoirs in watersheds facing water scarcity risks, to optimize the balance between supply reliability, water transfer volumes, and costs.

Keywords: Multipurpose reservoir management; Rule curve; Climate change adaptation; Water supply reliability (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11269-023-03508-x

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