Focusing on the application of forecast-based scheduling in optimal decision-making for complex urban water supply network systems

this study formulates a conceptual framework for integrating hydrological and rainfall forecast information. And we develop an optimal decision-making model for complex urban water supply networks

targeting at dual objectives－to maximize reservoir group safety and economic efficiency

and considering holistically the practical constraints

such as reservoir structural integrity

downstream flood control requirements

water treatment plant intake capacity

maximum allowable pipeline flow rates

and urban water supply reliability. This model has achieved a success in application to Ningbo's municipal water supply network system

validating its operational effectiveness. This case study demonstrates it can effectively adjust scheduling strategies and coordinate reservoir operations based on the hydrological conditions forecasted prior to flood events. It generates scheduling schemes that maintain a high operational safety level (100% water supply guarantee rate) while achieving an water resource utilization rate of 41.3% in flood periods

meeting the design requirements completely. This study helps design and optimize the complex urban water supply network systems.