Accurate prediction of river runoff is of great significance for water resources management,
flood prevention and mitigation. The causes of runoff are complex and the mechanisms …

Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

Water resources matters considerably in maintaining the biological survival and sustainable
socio-economic development of a region. Affected by a combination of factors such as …

Machine learning (ML) applications in hydrology are revolutionizing our understanding and
prediction of hydrological processes, driven by advancements in artificial intelligence and …

Accurate monthly runoff prediction is still challenging work regardless of the accessibility of
different modelling techniques, like the knowledge-driven or data-driven models, and human …

The runoff prediction can provide scientific basis for flood control, disaster reduction and
water resources planning. Due to a large number of uncertainties in runoff prediction, it is …

Rainfall-runoff modeling is a complex nonlinear spatiotemporal prediction problem.
However, few studies have considered the spatial characteristics of rainfall-runoff …

Sea surface salinity (SSS) provides information on the variability of ocean dynamics (global
water cycle and ocean circulation) and air-sea interactions, thereby contributing to the …

As an important branch of time series forecasting, runoff forecasting provides a reliable
decision-making basis for the rational use of water resources, economic development and …

Accurate prediction of daily runoff's dynamic nature is necessary for better watershed
planning and management. This study analyzes the applicability of artificial neural network …