Understanding the combined influences of meteorological and hydrological factors on water
level and flood events is essential, particularly in today's changing climate environments …

This paper proposes a reliable approach based on machine learning techniques to enhance
flood forecasting. Flood forecasting is affected by various factors including human-related …

Forecasting the water level of the Han River is essential to control traffic and avoid natural
disasters. The stream flow of the Han River is affected by various and intricately connected …

The impacts of climate change on water resources management as well as the increasing
severe natural disasters over the last decades have caught global attention. Reliable and …

This paper proposes a reliable approach based on machine learning techniques to enhance
flood forecasting. Flood forecasting is affected by various factors including human-related …

Bangladesh's low-lying geography and climatic sensitivity are making Sylhet in particular
more vulnerable to flooding. The Surma and Kushiara rivers spilling their banks is the …

Accurate prediction of any type of natural hazard is a challenging task. Of all the various
hazards, drought prediction is challenging as it lacks a universal definition and is getting …

Discharge is water flow from a higher to a lower elevation resulting from precipitation or
surface runoff. It is an essential resource for human society, including drinking water and …

Efficient, robust, and accurate forecasting is crucial in early flood warning, flood hazard
prevention, and water resources management. This research builds an integrated deep …

In this study, a forecasting model for nonlinear and non-stationary hydrological data based
on singular spectrum analysis (SSA) and artificial neural networks (ANN) is presented. The …