水利业务往往涉及多源异构数据、专业模型、业务规则和跨部门协同,并需要在不断变化的水情、工情和管理要求下及时形成判断与行动。面对复杂水情快速响应、多源信息综合研判和跨业务流程协同等需求,如何连接分散的信息、工具与专业知识,并在可控条件下提高业务协同和决策支持效率,正在成为水利数字化转型中的重要问题。 大语言模型(LLM)及由其驱动的智能体正在从问答与内容生成延伸至数据检索、模型调用和工作流组织,并迅...

Does your AI hydrologic model conserve mass, energy and momentum?

Operational flood forecasting depends on tacit forecaster expertise that is difficult to formalize, audit, and transfer. Although artificial intelligence methods have advanced flood prediction and mod...