There has been growing interest in the application of smart technologies for hazard
management. However, very limited studies have reviewed the trends of such technologies …

In recent years, there has been a growing interest in flood susceptibility modeling. In this
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …

Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

Floods are the most common type of natural hazard causing economic and human losses.
Mapping the susceptibility to flooding is essential for the effective management of flood risk …

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 …

Flash floods rank among the most catastrophic natural disasters worldwide, inflicting severe
socio-economic, environmental, and human impacts. Consequently, accurately identifying …

Most published studies identify groundwater extraction as the leading cause of land
subsidence (LS). However, the causes of LS are not only attributable to groundwater …

Flooding presents a formidable challenge in the United States, endangering lives and
causing substantial economic damage, averaging around $5 billion annually. Addressing …

Flash floods are among the most dynamic and complex hydrological phenomena, posing a
significant challenge for detection in hydrological studies. Accurate and timely predictions of …

Floods accompanied by thunderstorms in developed cities are hazardous, causing damage
to infrastructure. To secure infrastructure, it is important to employ an integrated approach …