Towards adaptive water management-optimizing river water diversion at the basin scale under future environmental conditions
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Derepasko, Diana; Witing, Felix; Peñas Silva, Francisco Jesús; Barquín Ortiz, José
Fecha
2023Derechos
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Publicado en
Water, 2023, 15(18), 3289
Editorial
MDPI
Palabras clave
Environmental flows
Climate change
Land cover change
Multi-objective optimization
Basin-scale assessment
Trade-off analysis
Instream flow
Resumen/Abstract
The degree of success of river water diversion planning decisions is affected by uncertain environmental conditions. The adaptive water management framework incorporates this uncertainty at all stages of management. While the most effective form of adaptive management requires experimental comparison of practices, the use of optimization modeling is convenient for conducting exploratory simulations to evaluate the spatiotemporal implications of current water diversion
management decisions under future environmental changes. We demonstrate such an explorative
modeling approach by assessing river water availability for diversion in a river basin in Northern
Spain under two future environmental scenarios that combine climate and land use change. An
evolutionary optimization method is applied to identify and reduce trade-offs with Supporting
Ecosystem Services linked to environmental flow requirements for relevant local freshwater species.
The results show that seasonal shifts and spatial heterogeneity of diversion volumes are the main
challenges for the future diversion management of the Pas River. Basin-scale diversion management
should take into account the seasonal planning horizon and the setting of tailored diversion targets at
the local-level to promote the implementation of adaptive management. The presented assessment
can help with strategic placement of diversion points and timing of withdrawals, but it also provides
deeper insight into how optimisation can support decision-making in managing water diversion
under uncertain future environmental conditions.
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