Abstract: Current water resource management models face bottlenecks such as fragmented resources, inconsistent standards,weak application collaboration, and insufficient autonomy. To promote the co-construction and sharing of water resource models and enhance the algorithm-driven capabilities of digital twin platforms, this study focuses on two key objectives: model construction and model management. Taking existing models and general algorithms as the subject, it systematically elaborates on the positioning, framework, core functions, and characteristics of the model platform. Key technologies are analyzed, including domestic model adoption and containerization, multi-source heterogeneous data fusion governance, and elastic scheduling of domestic computing resources.Practical case studies are conducted in typical application scenarios such as flood and drought disaster prevention and coordinated operation of water conservancy projects, demonstrating the practical value of the model platform. The related findings and implementation experience can serve as references and practical examples for the development of provincial-level digital twin water resource management model platforms.