Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

We review the 45 available studies of urban flooding based on laboratory experiments. We
distinguish between the studies focusing on the flow in (i) a single street intersection,(ii) …

High accuracy models are required for informed decision making in urban flood
management. This paper develops a new holistic framework for using information collected …

Urban pluvial flooding is a global challenge that is frequently caused by the lack of available
infiltration, retention and drainage capacity in cities. This paper presents RUFIDAM, an …

To achieve fast flood modelling for large-scale problems, a two-dimensional cellular
automata based model was developed. This model employs simple transition rules and a …

Short-duration, high-intensity rainfall causes significant disruption to transport operations,
and climate change is projected to increase the frequency and intensity of these events …

In this study, we present the first findings of the potential utility of miniaturized light and
detection ranging (LiDAR) scanners mounted on unmanned aerial vehicles (UAVs) for …

Abstract City Catchment Analysis Tool–CityCAT-is a novel software system for rapid
assessment of combined pluvial and fluvial flood risk using a unique combination of: efficient …

We analyse chronologies of historical flash floods derived from searches of newspaper
archives and other sources commencing before 1800 and recent gauged rainfall and stream …