Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …

Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …

This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Ensemble machine learning models have been widely used in hydro-systems modeling as
robust prediction tools that combine multiple decision trees. In this study, three newly …

Abstract This study addresses Hydrologic Engineering Center Hydrologic Modeling System
(HEC-HMS) model simulation issues in web environments and identifies key model …

Abstract The Hydrologic Engineering Center–Hydrologic Modelling System (HEC‐HMS)
model has been widely applied for estimating hydrological variables at event scale. The …

The hydrological model is the primary tool for regional water resources management,
allocation, and prediction. However, these models always suffer from large uncertainties …

Physically based distributed hydrological models (hereafter referred to as PBDHMs) divide
the terrain of the whole catchment into a number of grid cells at fine resolution and …

Hydrological models can provide estimates of streamflow pre-and post-observations, which
enable greater understanding of past hydrological behaviour, and potential futures. In this …

This study proposes a multi-objective optimization model of two cascade reservoirs in the
Upper Yellow River basin for increasing social well-beings in general while simultaneously …