Laboratoire Eau Environnement et Systèmes Urbains (Leesu)

Recent publications

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942.
titre
Predicting microbiological contamination in urban rivers: an event-based indicator approach applied to the Seine river during the 2024 Paris olympic and paralympic games
auteur
Arthur Guillot - Le Goff, Yoann Cartier, Brigitte Vinçon-Leite, Sébastien Boyaval, Rémi Carmigniani
article
Journal of Hydrology, 2026, 674, pp.135504. ⟨10.1016/j.jhydrol.2026.135504⟩
titre
Why are source-control measures not so “usual”? The social, spatial and organisational embeddedness of a reed bed filter
auteur
Julie Gobert, José-Frédéric Deroubaix, Martin Seidl
article
Urban Water Journal, 2026, pp.1 - 20. ⟨10.1080/1573062x.2026.2715091⟩
titre
Development of an operational research on stored urine management in agriculture
auteur
Florent Brun, Bernard de Gouvello, Marine Legrand
article
Natures Sciences Sociétés, 2026, 2026 (1), ⟨10.1051/nss/2026027⟩
titre
Assessing water quality restoration measures in Lake Pampulha (Brazil) through remote sensing imagery
auteur
Alexandre Assunção, Talita Silva, Lino de Carvalho, Brigitte Vinçon-Leite
article
Environmental Science and Pollution Research, 2025, ⟨10.1007/s11356-025-35914-6⟩
titre
Do suspended particles matter for wastewater-based epidemiology?
auteur
Gauthier Bernier-Turpin, Régis Moilleron, Chloé Cenik, Fabrice Alliot, Sabrina Guérin-Rechdaoui, Thomas Thiebault
article
Water Research, In press, 280, pp.123543. ⟨10.1016/j.watres.2025.123543⟩

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AI uses

by bvl, Julien Le Roux - published on , updated on

For several years now, LEESU’s research has required the use of advanced digital tools for environmental phenomenon modeling and for processing chemical and biological analysis data and for field high-frequency timeseries. The development of new tools based on artificial intelligence algorithms is currently experiencing rapid growth.