Laboratoire Eau Environnement et Systèmes Urbains (Leesu)

Recent publications

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934.
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⟩
titre
La persistance des champs d’épandage d’eaux usées de l’agglomération parisienne au cours du second XXe siècle
auteur
Etienne Dufour
article
Métropolitiques, 2025, ⟨10.56698/metropolitiques.2174⟩
titre
Stock and vertical distribution of microplastics and tire and road wear particles into the soils of a high-traffic roadside biofiltration swale
auteur
Max Beaurepaire, Tiago de Oliveira, Johnny Gasperi, Romain Tramoy, Mohamed Saad, Bruno Tassin, Rachid Dris
article
Environmental Pollution, 2025, 373, pp.126092. ⟨10.1016/j.envpol.2025.126092⟩
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⟩

Supervisory authorities

Member of

1. Contact

Contact : yoann.cartier(AT)enpc.fr

Address : École Nationale des Ponts et Chaussées, 6-8 Av. Blaise Pascal, 77420, Champs-sur-Marne, Bureau P209

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List of scientific publications and communications (HAL)

2. Research themes

  • Model the function linking CSO flow rate to precipitation and catchment data. The aim is twofold: predictive capacity and limiting the number of sources to be considered for contaminant concentration assessment.
  • Estimate the concentration of bacteria in the CSO discharge based on downstream microbiological measurements. To perform this inverse modelling we model bacterial transport in the receiving environment by a one-dimensional river approach.

3. Current research

PhD title: “Characterization of sources of microbiological contamination in rivers using statistical and inverse modeling”.

PhD supervirors : Brigitte Vinçon-Leite (Leesu), Rémi Carmigniani, Laboratoire d’Hydraulique de Saint Venant (LHSV)

Rivers are at the heart of human activity. They provide many ecosystem services: drinking water, agriculture, transport, hydropower, bathing, freshness, etc. They are also hotspots for biodiversity. However, the water quality of these rivers is deteriorated as a result of human activity. The current work focuses on fecal contamination, which is a discriminating criterion for bathing.

In urban watersheds, fecal bacteria contamination comes from point sources related to the operation of the drainage network. During rainy weather, the combined sewer network, mixing both wastewater and stormwater, can become saturated. As a consequence, part of the flow is discharged directly into the river via combined sewer overflows (CSOs).

By studying the behavior of the combined sewer system, it is possible to anticipate the discharging periods. In addition, by using an inverse method, it would be possible to determine the quantity of contaminants released by the CSOs. In this thesis, we present the design of the method applied on the Seine River within Paris. This characterization of sources would make it possible to anticipate contamination and guide decisions to contain it.

4. Current Teaching

5. Collective involvement

6. Professional background

Dates Position
October 2023 - PhD preparation at Leesu : “Characterization of sources of microbiological contamination in rivers using statistical and inverse modeling”, Supervisors : Brigitte Vinçon-Leite (Leesu), Rémi Carmigniani (LHSV)
February - July 2023 Research internship at INRAE - MISTEA Montpellier -
“Impact of climate change on the thermal dynamics of a small urban lake. Use of 1D modeling tools. Sensitivity analysis and model calibration using real data sets.” Supervisors: Céline Casenave MISTEA , Gilles Le Moguédec (AMAP), Brigitte Vinçon-Leite (Leesu)
October 2021 – April 2022 Research internship at Wageningen Environmental Research (WENR), Wageningen, Netherlands - “Modeling natural habitats on a European scale using machine learning, deep learning, and satellite imagery models. Involved in the entire process, from data selection and processing to modeling.” Supervisors: Sara Si-Moussi (LECA), Wilfried Thuiller (LECA), Sander Mücher (WENR), Stephan Hennekens (WENR)
June – August 2021 Research internship at Laboratoire d’écologie alpine (LECA), Grenoble - “Evaluation of machine learning methods for habitat recognition based on environmental data.” Supervisors: Sara Si-Moussi (LECA), Wilfried Thuiller (LECA)
August – December 2022 Engineering exchange semester, Norwegian University of Science and Technology Trondheim, Norway - Courses taken: machine learning, multivariate data analysis, bioacoustics for biodiversity, control of nonlinear systems.
September 2019 – July 2023 Enginering Degree at École Nationale Supérieure d’Energie, Eau et Environnement Grenoble - Three-year program in: electric power, fluid mechanics, computer science, hydraulics. Specialization: automatic and smart systems.

Scientific production, on HAL-ENPC, ordered by type