Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Population growth, economic development, and dietary changes have drastically increased
the demand for food and water. The resulting expansion of irrigated agriculture into semi …

Flooding is one of the most common natural hazards, causing disastrous impacts worldwide.
Stress-testing the global human-Earth system to understand the sensitivity of floodplains and …

" Across diverse disciplines, the term resilience is appearing more and more often. However,
while each discipline has developed theory and models to explain the resilience of the …

Abstract The Sustainable Development Goals (SDGs) of the United Nations Agenda 2030
represent an ambitious blueprint to reduce inequalities globally and achieve a sustainable …

Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

The behaviour of individuals, businesses, and government entities before, during, and
immediately after a disaster can dramatically affect the impact and recovery time. However …

Rising global temperature has put increasing pressure on understanding the linkage
between atmospheric warming and the occurrence of natural hazards. While the Paris …

We review the increasing body of research on urban water security. First, we reflect on the
four different focusses in water security literature: welfare, equity, sustainability and water …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …