Predicting groundwater levels is challenging, especially in regions of water scarcity where
data availability is often limited. However, these regions have substantial water needs and …

Owing to global climate change, the frequency of disasters has increased twelve-fold, with a
corresponding approximately seventeen-fold increase in economic damages over the past …

The distribution of humanitarian aid is a vital issue for humanity's future. In recent years, the
management of humanitarian crises has become more crucial than it was a decade ago …

Accurate pollutant prediction is essential in fields such as meteorology, meteorological
disasters, and climate change studies. In this study, long short-term memory (LSTM) and …

Accurate water level prediction for both lake and river is essential for flood warning and
freshwater resource management. In this study, three machine learning algorithms: multi …

This study reviewed the applicability of AI-based models to predict flood water level and
evaluate flood damage in small rivers with short arrival times. The Namyangju-si (Jingwan …

Major European rivers have their sources in the Swiss Alps. Data from these rivers and their
tributaries have been collected for decades with consistent quality. We use GIS data to …

As an essential hydrological variable, the river water level is vital in research fields such as
agriculture. This study proposes a new multi-step river water level prediction method based …

Vietnam faces on significant human and property losses from floods almost every year.
Therefore, the aim of this study is to provide timely and highly accurate flood prediction …

In this study, fuzzy mathematics and VIKOR were employed to develop a flood vulnerability
assessment system for Ulsan Metropolitan City, South Korea in 2018. HEC-HMS model was …