Scientific production
Technical resources and equipment
Expertise and disciplines
Recent publications
--> Url version détaillée
,
Url version formatée
Structure name contains or id is : "409065;155441;135971;102266;212248;578082", Publication type : "('ART')"
941.
941.
- 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⟩
- titre
- Plastic debris dataset on the Seine riverbanks: up to 38 000 pre-production plastic pellets reported per square meter
- auteur
- Romain Tramoy, Laurent Colasse, Johnny Gasperi, Bruno Tassin
- article
- Data in Brief, 2025, pp.111735. ⟨10.1016/j.dib.2025.111735⟩
Supervisory authorities
Member of
Expertise and disciplines
Research at Leesu is based on:
- interdisciplinary approaches
- Engineering sciences
- Social sciences
- Urban Hydrology
- Microbiology
- Limnology
- Chemistry
- shared tools
- Metrology (in situ, pilot-scale, lab-scale)
- Analytical platforms (chemistry, microbiology)
- Modeling (physical, biochemical, urban)
- Interviews, user surveys, accounts of public policy
AI uses
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.