Although often neglected, model validation is a key topic in flood risk analysis, as flood risk
estimates are used to underpin large investments and important decisions. In this paper, we …

Floods can be devastating to communities and result in fatalities and injuries, negatively
impacting the economy, and quality of life. This paper presents a review of community …

Flood loss models are one important source of uncertainty in flood risk assessments. Many
countries experience sparseness or absence of comprehensive high-quality flood loss data …

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 …

Flood risk management generally relies on economic assessments performed by using flood
loss models of different complexity, ranging from simple univariable models to more complex …

The way cities are evolving and expanding has been a challenging issue and several urban
growth models were proposed. Most of these models have common objectives but they differ …

Recently, floods are occurring more frequently every year around the world due to increased
anthropogenic activities and climate change. There is a need to develop accurate models for …

Flood damage assessment is usually done with damage curves only dependent on the
water depth. Several recent studies have shown that supervised learning techniques …

Drought management frameworks are dependent on methods for monitoring and prediction,
but quantifying the hazard alone is arguably not sufficient; the negative consequences that …

Pluvial flood risk is mostly excluded in urban flood risk assessment. However, the risk of
pluvial flooding is a growing challenge with a projected increase of extreme rainstorms …