Articles | Volume 15, issue 7
Biogeosciences, 15, 2251–2269, 2018
Biogeosciences, 15, 2251–2269, 2018

Research article 17 Apr 2018

Research article | 17 Apr 2018

QUAL-NET, a high temporal-resolution eutrophication model for large hydrographic networks

Camille Minaudo et al.

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Cited articles

Abonyi, A., Leitão, M., Lançon, A. M., and Padisák, J.: Phytoplankton functional groups as indicators of human impacts along the River Loire (France), Hydrobiologia, 689, 233–249,, 2012.
Abonyi, A., Ács, É., Hidas, A., Grigorszky, I., Várbíró, G., Borics, G., and Kiss, K. T.: Functional diversity of phytoplankton highlights long-term gradual regime shift in the middle section of the Danube River due to global warming, human impacts and oligotrophication, Freshwater Biol., 63, 456–472,, 2018.
Aissa-Grouz, N.: Eutrophisation et dynamique du phosphore et de l'azote en Seine, Un nouveau contexte suite à l'amélioration du traitement des eaux usées, PhD thesis, Université Pierre et Marie Curie, Paris, France, 2015.
ALTI®: Dataset, available at: (last access: April 2017), 2012.
Ambrose, R. B. and Wool, T. A.: WASP7 Stream transport model theory and user's guide, Environmental Protection Agency, Athens, GA, USA, EPA/600/R-09/100, available at: (last access: April 2017), 2009.
Short summary
We developed the model QUALity-NETwork (QUAL-NET) to simulate water quality variations in large drainage networks. This model is accurate enough to represent processes occurring over short periods of time such as storm events and helps to fully understand water quality variations in stream networks in the context of climate change and varying human pressures. It was tested on the Loire River and provided good performances and a new understanding of the functioning of the river.
Final-revised paper