The impact of climate change on the oxygen saturation content of the world's surface waters
is a significant topic for future water quality in a warming environment. While increasing river …

Regional water resource modelling is important for evaluating system performance by
analyzing the reliability, resilience and vulnerability criteria of the system. In water resource …

Increasing amounts of wastewater are discharged to water bodies, with a risk of exceeding
their capacity to cope with such loads. Nutrient discharge forms two types of risk, ie …

Water quality in alpine rivers on the Tibetan Plateau is a key indicator for eco-environment
security in China, which, however, is difficult to be monitored over the plateau. In this study …

Abstract Machine learning (ML) has been increasingly adopted due to its ability to model
complex and non-linearities between river water temperature (RWT) and its predictors (eg …

Surface Temperature (ST) is important in terms of surface energy and terrestrial water
balances affecting urban ecosystems. In this study, to process the nonlinear changes of …

Understanding the riverine thermal regimes is challenging due to sparse spatiotemporal
data of river water temperatures (RWTs). The development of systematic models combined …

Water quality extremes, which water quality models often struggle to predict, are a grave
concern to water supply facilities. Most existing water quality models use mean error …

Abstract Groundwater in the Qinghai–Tibet Plateau (QTP) is mainly distributed in the active
layer. Rising temperatures and human activities have influenced the hydrogeochemical …

The presence of sulfur and iron in waste rocks produced during reservoir construction can
generate acid rock drainage (ARD). Its environmental impact however, has often been …