Many urban areas in tropical Southeast Asia, eg, Bangkok in Thailand, have recently been
experiencing unprecedentedly intense flash floods due to climate change. The rapid flood …

Modelling urban inundation and its associated health implications is numerous in its many
applications. Flood modelling research contains a broad wealth of material, and microbial …

Abstract Rain-on-Grid (RoG) modelling is an increasingly popular approach within the storm
risk management, in which the hydrological and hydrodynamic flood processes are …

Using machine learning for pluvial flood prediction tasks has gained growing attention in the
past years. In particular, data-driven models using artificial neuronal networks show …

Digital elevation models (DEM) are fundamental for hydrologic and hydraulic modelling.
Many practitioners rely on open‐access global data sets due to the cost and sparse …

Participatory modeling facilitates the co-production of knowledge and action by engaging
stakeholders in research. However, the spatial dimensions of socio-environmental systems …

Rainfall-runoff simulations are increasingly being performed with physically-based and
spatially distributed solvers. The current computational and numerical technology enables …

Flood inundation models are increasingly used for a wide variety of river and coastal
management applications. Nevertheless, the computational effort to run these models …

Urban flooding, caused by unusually intense rainfall and failure of storm water drainage, has
become more frequent and severe in many cities around the world. Most of the earlier …

In spite of the increasing extremity and adverse consequences of urban floods under climate
change, flood characteristics in most developing countries are still largely unknown due to …