We propose and demonstrate a new approach for fast and accurate surrogate modelling of
urban drainage system hydraulics based on physics-guided machine learning. The …

Long term planning of urban water infrastructure requires acknowledgement that transitions
in the water system are driven by changes in the urban environment, as well as societal …

Due to the COVID-19 pandemic, citizens of the United Kingdom were required to stay at
home for many months in 2020. In the weeks before and months following lockdown …

The transportation network enables movement of people and goods and is the basis of
economic activity. Recently, short-term locally heavy rains occur frequently in urban areas …

Historically, little consideration has been given to water performance of urban developments
such as “hydrological naturalness” or “local water self-sufficiency”. This has led to problems …

Placing water quality in rivers at the centre of water infrastructure planning and management
is an important objective. In response there has been a range of'whole system'analyses …

The water cycle is highly interconnected; water fluxes in one part depend on physical and
human processes throughout. For example, rivers are a water supply, a receiver of …

Existing, high‐fidelity models for sewer network modeling are accurate but too slow and
inflexible for modern applications such as optimization or scenario analysis. Reduced …

Abstract Stormwater management through Blue-Green Infrastructure (BGI) delivers multiple
benefits across urban environments. However, current integrated modelling tools fail to …

Problems of water system integration occur when a model's boundaries are too narrow to
capture interactions and feedbacks across the terrestrial water cycle. We propose that …