This study investigates how deep-learning can be configured to optimise the prediction of
2D maximum water depth maps in urban pluvial flood events. A neural network model is …

In this paper, we review the emerging concept of digital twins (DTs) for urban water systems
(UWS) based on the literature, stakeholder interviews and analyzing the current DT …

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 …

Floods threaten urban infrastructure, especially in residential neighborhoods and fast-
growing regions. Flood hydrodynamic modeling helps identify flood-prone locations and …

The Sentinel-1 is an active synthetic aperture radar (SAR) satellite with a-band SAR sensor
operating at a center frequency of 5.405 GHz and a wavelength of 5.55 cm. With the …

The escape of pedestrians in the subway station is hampered by floods created by heavy
rain. In order to explore the critical flood level in a subway station so that pedestrians can …

Coordinating the coercion of human activities to the ecosystem is a continuous strategic
concern. A practical way to conceptualize socioeconomic development and link it to …

Rivers play a crucial role in the development of human civilization, and river pollution is a
significant environmental issue that accompanies with intensified human activity. However …

In recent years, urban waterlogging disasters have become increasingly prominent.
Physically based urban waterlogging simulation models require considerable computational …

Urban populations are snowballing, increasing household (HH) water consumption. The
growing housing density, the expanding infrastructure, and altered land use patterns place …