Dynamic-Staged Drought-Resistance Strategies for Reservoir Management
Research on optimizing drought-resistance strategies in reservoir operations is crucial for maintaining water resources amid climate change. This briefing highlights various methodologies and models aimed at enhancing the mitigation of drought effects through innovative reservoir management techniques.
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A range of studies have focused on improving drought-resistance operations in reservoirs. Key methodologies include a hedging policy for drought mitigation (Chang et al., 2019) and multi-objective risk analysis for flood control (Lu et al., 2022).
Techniques such as the artificial bee colony algorithm (Li et al., 2023) and deep learning models (Xu et al., 2022) are also being employed to enhance operational efficiency. The assessment of dams' flood and drought regulation capacities is increasingly relevant for large hydropower installations, especially in changing climates (Abraham et al., 2025). These advancements may lead to increased resilience in water management systems, though challenges remain in effectively implementing these strategies across diverse geographic and environmental contexts.
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