Urban water systems exist and operate at the intersection of natural hydrological processes, infrastructure, and human activities. As cities face increasing pressures from climate extremes, aging infrastructure, and urbanization, there is both an urgent need for and untapped gains in transitioning to intelligent and resilient approaches. These approaches are supported by emerging technologies such as IoT-enabled sensing, advanced modeling, and AI, and adaptive water governance and management. This session seeks contributions that bridge monitoring, modeling, and management to improve the understanding, forecasting, design, and operation of urban water systems. We welcome studies in the broad field of urban hydrology, including stormwater, water quality, drainage systems, water supply, wastewater, green infrastructure, hydroclimatic risk, and decision-making under uncertainty. Relevant approaches include environmental monitoring, process-based modeling, AI/machine learning, smart-city tools, and socio-environmental analysis. We aim to foster discussion among multidisciplinary researchers and practitioners across the urban water domain.