Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …

River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Accurate prediction of runoff is an important foundation for optimizing water resource
allocation and reservoir scheduling operations. However, due to its complex characteristics …

Conventional machine learning models have been widely used for reservoir inflow and
rainfall prediction. Nowadays, researchers focus on a new computing architecture in the …

Rainfall-runoff simulation is vital for planning and controlling flood control events. Hydrology
modeling using Hydrological Engineering Center—Hydrologic Modeling System (HEC …

Water, one of the most valuable resources on Earth, is the subject of the study of hydrology,
which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool …

Improving forecasting techniques for streamflow time series is of extreme importance for
water resource planning. Among the available techniques, those based on machine …

Monthly runoff time-series estimation is imperative information for water resources planning
and development projects. This article aims to comparatively investigate the applicability of …

Dissolved oxygen (DO) concentration is an important water-quality parameter, and its
estimation is very important for aquatic ecosystems, drinking water resources, and agro …

Runoff forecasting is one of the important non-engineering measures for flood prevention
and disaster reduction. The accurate and reliable runoff forecasting mainly depends on the …