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 …

Hydrological prediction is essential for managing and preserving headwater, wetland, and
rural basins, yet it is difficult due to a lack of data. The Long Short-Term Memory (LSTM) …

Accurate prediction of dam inflows is essential for effective water resources management in
terms of both water quantity and quality. This study aims to develop a Long Short-Term …

It is no doubt that the reliable runoff simulation for proper water resources management is
essential. In the past, the runoff was generally modeled from hydrologic models that analyze …

In this study, after developing an LSTM-based deep learning model for estimating daily
runoff in the Soyang River Dam basin, the accuracy of the model for various combinations of …

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 …

High-reliability prediction of dam inflow is necessary for efficient dam operation. Recently,
studies were conducted to predict the inflow of dams using Multi Layer Perceptron (MLP) …

The accurate prediction of water levels is essential for the efficient operation of hydraulic
structures such as dams. However, such predictions are impossible when considering all …

In water treatment plants supplying potable water, the management of chlorine
concentration in water treatment processes involving pre-chlorination or intermediate …

Anticipating water levels in vast riverbeds is crucial for preventing and mitigating floods or
droughts, assessing power plant capacity, and facilitating navigation management. This …