This project aims to develop a new theoretical framework for the allocation and development decisions on drinking water infrastructure systems.
Decisions should be socially equitable, economically efficient and environmentally resilient, as advocated by the UN Agenda 2030, Sustainable Development Goals.
The Water-Futures team will build on synergies from four research groups, transcending methodologies from water science, systems and control theory, economics and decision science, and machine learning, into an integrated decision and control framework.
The framework will integrate real-time monitoring and control with long-term robustness and flexibility-based pathway methods, and incorporate economic, social, ethical and environmental considerations for sustainable transitioning of urban water systems under deep uncertainty with multiple possible futures.
The decision and control framework will be implemented as an open-source research toolbox.
The new science outcomes will be applied to three case studies exemplifying different types of urban water systems:
Water-Futures will provide the theoretical and practical basis for enabling various stakeholders, policy makers, managers and operators to make socially-acceptable and fair decisions.Project concept