Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

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 …

Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …

Flood is one of the most damaging natural disasters as the recent floods have shown their
serious impact on Pakistan. Flood control and regulation policies are essential to reduce the …

Despite massive investments and continuous flood-control efforts in India, the socio-
economic damages and death toll continue to remain high. Undoubtedly, the process of …

Hydrodynamic models are commonly used to understand flood risk and inform flood
management decisions. However, their high computational cost can impose practical limits …

Flood is one of the most disruptive natural hazards, responsible for loss of lives and damage
to properties. A number of cities are subject to monsoons influences and hence face the …

Study region Typical basin in semi-arid and semi humid areas in the middle reaches of the
Yellow River Study focus Floods are among the most devastating natural disasters. Timely …

Flood prediction has advanced significantly in terms of technique and capacity to achieve
policymakers' objectives of accurate forecast and identification of flood-prone and impacted …

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 …