Growing human population, urbanization, and changing availability of freshwater resources are expected to impact on all the phases of the urban water cycle in the next years, with emphasis on changing demand magnitude, peaks, and spatial and temporal patterns, and related water supply capabilities and operations.
This context, coupled with the technological development and diffusion of advanced metering technologies, increasing data availability, and automatic or real-time control of water distribution networks, is opening up new opportunities to advance methods and applications for urban water demand analysis, modelling, and management to ultimately support and innovate traditional planning and management operations of water utilities and municipalities at various temporal and spatial scales.
This session aims to provide an active forum to discuss and exchange knowledge of consolidated and emerging methods, tools, and technologies contributing to the state-of-the-art water demand analysis, modelling, and management, and demonstrate their potential or proved impact onto real-world applications. Topics and applications could belong to any area of urban water demand analysis, modelling, and management, including demand monitoring, smart metering, big-data analysis and information retrieval, data-driven behavioural analysis, descriptive and predictive models of water demand, experimental approaches to demand management, water demand and supply optimization, demand trend and anomaly (e.g., leak) identification, and cybersecurity.