Water resources play a central role in the operation of urban systems. Present-day challenges in the use of water resources include over reliance on human-centered system management, and lack of formal approaches to decision-making support. In a step toward mitigating these challenges, the goals of this project are two-fold: first, we explore use of semantic modeling and rule-based reasoning a means to control operations in the water network system operation. The second purpose of this project is to explore opportunities for extending the logic of EPANET software simulation operations to include reasoning that takes into account factors beyond the water network. The case studies integrate time-history simulation and semantic modeling.