Background: Open Access Editor's Choice Article A Stacking Ensemble Model of Various
Machine Learning Models for Daily Runoff Forecasting by Mingshen Lu 1, 2, Qinyao Hou 1 …

As the planet warms, the atmosphere's water vapor holding capacity rises, leading to more
intense precipitation extremes. River floods with high peak discharge or long duration can …

Study region Two hyper-arid regions (Atbara and Kassala stations) in Sudan. Study focus
The study aims to evaluate the potential of the D-vine Copula-based quantile regression …

Water level (WL) is an essential indicator of lakes and sensitive to climate change.
Fluctuations of lake WL may significantly affect water supply security and ecosystem stability …

The Bayesian model averaging (BMA), hydrological uncertainty processor (HUP), and HUP-
BMA methods have been widely used to quantify flood forecast uncertainty. This study …

The hydraulic jump phenomenon plays a significant role in dissipating the energy of the
upstream current in either natural or artificial waterways. River's bed roughness is defined as …

Mountains are the water towers of the world, so it is critical to obtain accurate precipitation
data for mountainous areas. Due to the complex topography of high mountainous areas …

River flooding is among the costliest natural disasters with severe economic, societal, and
environmental consequences. However, substantial uncertainties remain in global and …

Environmental flow plays an important role in maintaining the health of river ecosystems and
aquatic habitats. Although ecological regulation of environmental flow has attracted the …

Mid-and long-term saltwater intrusion forecasts for estuaries are challenging due to a wide
range of dynamic interactions and the limited amount of available data. This study proposes …