In global sensitivity analysis (GSA) of a model, a proper convergence analysis of metrics is
essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained …

High frequency water quality data measured by in-situ sensors allowed the development of
auto-calibration methods for water quality simulation programs. However, these methods …

The supply of readily-degradable organic matter to river systems can cause stress to
dissolved oxygen (DO) in slow-flowing waterbodies. To explore this threat, a multi …

With the development of sophisticated water quality models and the advances in
computational power, data assimilation (DA) techniques, especially ensemble-based …

Water quality in lowland rivers is sensitive to changes in flow during summer dry periods,
when high temperatures and low pollutant dilution are problematic and may reduce oxygen …

Research on mechanisms of organic matter degradation, bacterial activities, phytoplankton
dynamics, and other processes has led to the development of numerous sophisticated water …

At the start of the PIREN-Seine program, organic pollution by the effiuent of the Parisian
conurbation was responsible for episodic anoxia in the lower Seine River, while nutrients …

The coupling of high frequency data of water quality with physically based models of river
systems is of great interest for the management of urban socio-ecosystems. One approach to …

The development of accurate water quality modeling tools is necessary for integrated water
quality management of river systems. Even though some water quality models can simulate …

Algal blooms have been increasingly prevalent in recent years, especially in lakes and
reservoirs; their accurate prediction is essential for preserving water quality. In this study, the …