There has been a strong tendency in recent decades to develop real-time urban flood
prediction models for early warning to the public due to a large number of worldwide urban …

Urban flooding is a frequent disaster in cities. With the increasing imperviousness caused by
rapid urbanization and the rising frequency and severity of extreme events caused by …

With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …

Flood has long been known as one of the most catastrophic natural hazards worldwide.
Map** flood-prone areas is an important part of flood disaster management. In this study …

Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …

In the last few decades, rainfall-induced urban waterlogging has become a significant
environmental barrier and acquired global prominence worldwide due to its frequent threat …

Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

A correct understanding of the parameters and methods used in flood susceptibility map**
(FSM) is critical for identifying the strengths and limitations of different map** approaches …

Urban flooding is one of the most widespread natural hazards in modern cities. Risk
map** provides critical information for flood risk management to reduce life and economic …

The main scope of the study is to evaluate the prognostic accuracy of a one-dimensional
convolutional neural network model (1D-CNN), in flood susceptibility assessment, in a …