Drainage basin medium-and-long-term runoff prediction method based on space-time granulation data scene model

The invention discloses a basin medium-and-long-term runoff prediction method based on a space-time granulation data scene model, and the method comprises the steps: firstly constructing the space-time granulation data scene model facing basin medium-and-long-term runoff prediction, and achieving the representation of hydrological space-time objects at different granularity levels, and the organization and integration of the attributes, methods and relationships of hydrological objects in a basin scene; and realizing the long-term runoff prediction in the drainage basin based on the space-time granulation data scene model. According to the method, data organization and integration of multi-granularity hydrological space-time objects can be realized, and the prediction effect and macroscopic research and judgment capability of long-term runoff in a watershed in a complex environment can be improved. 本发明公开一种基于时空粒化数据场景模型的流域中长期径流预测方法，首先构建面向流域中长期径流预测的时空粒化数据场景模型，实现不同粒度层面的水文时空对象表征和流域场景中水文对象属性、方法和关系的组织与集成，再以时空粒化数据场景模