Runoff plays an essential part in the hydrological cycle, as it regulates the quantity of water
which flows into streams and returns surplus water into the oceans. Runoff modelling may …

Abstract Study region Lower Baro River, Ethiopia. Study focus This paper presents the
novelty of ANN and HEC-RAS model for flood inundation mapping in lower Baro Akobo …

Deep learning methods have recently shown a broad application prospect in rainfall-runoff
modeling. However, the lack of physical mechanism becomes a major limitation in using …

Making accurate and reliable probability density forecasts of flood processes is
fundamentally challenging for machine learning techniques, especially when prediction …

Streamflow prediction (SFP) constitutes a fundamental basis for reliable drought and flood
forecasting, optimal reservoir management, and equitable water allocation. Despite …

Flood assessment in coastal river areas is subject to complex dependencies and
interactions between flood drivers. In addition, coastal areas are especially vulnerable to …

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

Real-time control of hydroelectric generating units and floodgates is the key to ensuring the
economy and safety of hydroelectric production. Runoff hydropower plants require high real …

Hydropower is among the most efficient technologies to produce renewable electrical
energy. Hydropower systems present multiple advantages since they provide sustainable …

We used the lumped rainfall–runoff hydrologic models Génie Rural à 4, 5, 6 paramètres
Journalier (GR4J, GR5J and GR6J) to evaluate the most robust model for simulating …