Preprints
https://doi.org/10.5194/hess-2023-160
https://doi.org/10.5194/hess-2023-160
15 Sep 2023
 | 15 Sep 2023
Status: this preprint is currently under review for the journal HESS.

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

Abstract. The increasing water demand due to human activities has aggravated water scarcity, and conflicts among stakeholders have increased the risk of unsustainable development. Ignoring the effects of trade-offs leads to misguided policy recommendations. This study highlights the concept of synergy among different aspects of water allocation process. A process-based three-layer synergistic optimal allocation (PTSOA) model is established to integrate the interests of stakeholders across subregions, decision levels and time steps while simultaneously coupling reclaimed water to establish environmentally friendly solutions. A synergy degree index is constructed by applying network analysis for optimization. PTSOA is applied in Yiwu City, Southeast China, and is shown to improve the contradictions among different dimensionalities in a complex system. Overall, 2.43×107~3.95×107 m3 of conventional water is saved, and notable improvements in management are achieved. The application demonstrates the efficiency and excellent performance of the PTSOA.

Jing Liu et al.

Status: open (until 10 Nov 2023)

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Jing Liu et al.

Jing Liu et al.

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Short summary
Applying optimal water allocation models to simultaneously enable economic benefits, water preferences and environmental demands at different decision levels, time scales and regions is a challenge. In this study, A process-based three-layer synergetic optimal allocation model (PTSOA) is established to achieve these goals. Reusing of reclaimed water is also coupled to capture environment-friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.