数据化模型模块技术在洪水预报建模中的应用

Application of Data Module Technique in Flood Forecasting Modeling

针对洪水预报模型的传统开发模式中存在重复开发、模型应用不灵活、扩展性差等问题,依据洪水预报模型的结构与逻辑特性,将模型拆分为多个相对独立的模块,并运用数据化模型模块技术对这些模块进行封装,形成洪水预报模型组件库;利用洪水预报模型组件库搭建洪水预报模型,将其应用于嵊州流域预报中。嵊州流域的应用实践表明,采用数据化模型模块技术搭建的洪水预报模型具有代码重用率高、移植性强、可扩展性好、易于维护等优点,同时为洪水多模型集合预报提供了便利,丰富了洪水预报结果。

The traditional development method of flood forecast model has some drawbacks, such as repeated development, inflexible application of model, poor extensibility. According to the characteristics of structure and logic, the flood forecast model can be divided into several relatively independent modules which can be encapsulated into some reusable components in component library. Then, components in the library is used to build flood forecast model, and it is applied to Shengzhou drainage area. The results show that the model built by modules has advantages, such as high code reuse rate, great portability, good expansibility, easily maintenance. So, it provides conveniences for multi-model flood set prediction as well as enriches flood forecast result.