Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 6
Articles | Volume 28, issue 6
https://doi.org/10.5194/hess-28-1325-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-28-1325-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 6
Research article
 | 
25 Mar 2024
Research article |  | 25 Mar 2024

Process-based three-layer synergistic optimal-allocation model for complex water resource systems considering reclaimed water

Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen

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Avni, N., Eben-Chaime, M., and Oron, G.: Optimizing desalinated sea water blending with other sources to meet magnesium requirements for potable and irrigation waters, Water Res., 47, 2164–2176, https://doi.org/10.1016/j.watres.2013.01.018, 2013. 
Baky, I. A.: Interactive TOPSIS algorithms for solving multi-level non-linear multi-objective decision-making problems, Appl. Math. Model., 38, 1417–1433, https://doi.org/10.1016/j.apm.2013.08.016, 2014. 
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Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
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