Hydrological modelling can be complex in nonhomogeneous catchments with diverse
geological, climatic, and topographic conditions. In this study, an integrated conceptual …

Glacio-hydrological modeling is a key task for assessing the influence of snow and glaciers
on water resources, essential for water resources management. The present study aims to …

Rainfall–runoff modeling has been of great importance for flood control and water resource
management. However, the selection of hydrological models is challenging to obtain …

Abstract Study region Yellow River Basin in China, where streamflow dynamics were
significantly impacted by human activities. Study focus We introduced a deep learning …

In the realm of ecological management and human activities within river basins, short-term
runoff forecasting plays a pivotal role. Addressing this need, this paper introduces an …

Abstract Study region Han River Basin, Shaanxi Province, China Study focus Machine
Learning (ML) has emerged as a promising panacea for precise runoff forecasting …

In the context of climate change and human influence, timely and reliable information about
water level variations is crucial for downstream flood control, navigation, and water resource …

While some robust artificial intelligence (AI) techniques such as Gene-Expression
Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) …

The alpine lakes distributed on the plateau are crucial for the hydrological, and
biogeochemical cycle, and also serve as a guarantee for regional economic development …

Cyanobacterial harmful algal blooms (CyanoHABs) pose serious risks to inland water
resources. Despite advancements in our understanding of associated environmental factors …