Enhancing Reservoir Design by Integrating Resilience into the Modified Sequent Peak Algorithm (MSPA 2024)

This study introduces the modified sequent peak algorithm (MSPA 2024), an advanced reservoir design framework that incorporates resilience as a key performance metric alongside traditional measures like reliability and vulnerability. By integrating resilience thresholds, MSPA 2024 addresses the complexities of water resource management under diverse hydrological conditions and demand scenarios. Comparative analyses reveal that MSPA 2024 surpasses traditional approaches, such as behavior analysis (BA) and earlier MSPA versions, particularly in maintaining higher resilience and sustainability at lower reliability levels. Although it requires greater storage capacity and experiences higher evaporation losses, MSPA 2024 proves effective in ensuring resilience under challenging conditions, making it especially suitable for long-term water management in drought-prone regions. The key findings highlight its performance across varied demand scenarios, emphasizing the importance of tailoring MSPA 2024 applications to specific hydrological contexts. While achieving 100% resilience is optimal, this study demonstrates the practicality of lower resilience thresholds (e.g., 75% and 50%), showcasing MSPA 2024’s adaptability to diverse operational needs. These results underscore MSPA 2024’s potential to enhance resilient and sustainable water systems, offering a vital tool for addressing increased water scarcity driven by climate change.