Statistical distributions of flood peak discharge often show heavy tail behavior, that is,
extreme floods are more likely to occur than would be predicted by commonly used …

Increasing amounts of data, together with more computing power and better machine
learning algorithms to analyse the data, are causing changes in almost every aspect of our …

Floods are the most common and widely distributed natural hazard, threatening life and
property worldwide. Governments worldwide are facing significant challenges associated …

Hydrodynamic interactions, ie the floodplain storage effects caused by inundations upstream
on flood wave propagation, inundation areas, and flood damage downstream, are important …

Abstract Robust Decision Making (RDM) is an established framework for decision making
under deep uncertainty. RDM relies on the idea of “scenario neutrality”, namely that decision …

Reliable hazard analysis is crucial in the flood risk management of river basins. For the
floodplains of large, developed rivers, flood hazard analysis often needs to account for the …

Hydrodynamic models are often used to simulate inundation patterns for evacuation
planning. Yet, hydrodynamic models are affected by uncertainties in, among others, the dike …

The risk of coastal or fluvial flooding is aggravated by the failure of defences (either natural
like dunes or artificial like dykes). The study of flood hazard on the Dutch River System …