Articles | Volume 28, issue 16
https://doi.org/10.5194/hess-28-3739-2024
https://doi.org/10.5194/hess-28-3739-2024
Research article
 | 
20 Aug 2024
Research article |  | 20 Aug 2024

Robust multi-objective optimization under multiple uncertainties using the CM-ROPAR approach: case study of water resources allocation in the Huaihe River basin

Jitao Zhang, Dimitri Solomatine, and Zengchuan Dong

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Short summary
Faced with the problem of uncertainty in the field of water resources management, this paper proposes the Copula Multi-objective Robust Optimization and Probabilistic Analysis of Robustness (CM-ROPAR) approach to obtain robust water allocation schemes based on the uncertainty of drought and wet encounters and the uncertainty of inflow. We believe that this research article not only highlights the significance of the CM-ROPAR approach but also provides a new concept for uncertainty analysis.