As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …

Water productivity may carry different meanings to different people, and may differ between
but also within groups of water users. The term water productivity is used exclusively to …

Hydrologists rely extensively on anticipating river streamflow (SF) to monitor and regulate
flood management and water demand for people. Only a few simulation systems, where …

The current study tried to investigate the hydrodynamic characteristics and the pollution
mixing and dispersion from the sub-branch through the river confluence using the numerical …

In this paper, the evaluation of the performance of five flood prediction models in the
Simineh-Rood River, Lake Urmia basin, Iran, is discussed in detail. To this purpose, the …

The advection–dispersion equation (ADE) is one of the most widely used methods for
estimating natural stream pollution at different locations and times. In this paper, variational …

This paper concerns the cadmium sorptive effects by river bed sediments on longitudinal
dispersion coefficient in an open-channel flow via experimental and numerical study. For …

Floods are among the world's most devastating natural disasters, resulting in loss of life,
damage to property, and widespread infrastructure disruptions that impact millions. Flood …

River networks consist of many branches that connect at river confluences. Because
pollutants usually enter the river in different situations from the upstream branches, it is …