Modeling the dynamics of PMMoV, a sewage-associated virus in the Seine River across Paris

Abstract

Assessing the water quality of bathing waters is possible by monitoring bioindicator organisms such as microorganisms. As the most abundant biological entities in water bodies, viruses have shown potential to reflect anthropogenic contamination. In this context, this project aimed to investigate the temporal and spatial dynamics of one specific sewage-associated virus in the Seine River: the pepper mild mottle virus (PMMoV). We developed a system of partial differential equations to model the transport and longitudinal evolution of viral concentrations as a function of river flow. The proposed model successfully reproduced and explained the upstream increase of PMMoV in the studied Parisian section of the Seine River and could be applied to other methods of virus enumeration, other viruses or other rivers.

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BibTeX RIS

BibTeX

@article{langlais2026modeling,
  title = {{Modeling the dynamics of PMMoV, a sewage-associated virus in the Seine River across Paris}},
  author = {Alisa Langlais and Louis Ramseyer and Achim Quaiser and Fabrice Mahé and Valérie Monbet and Anthony Marconi and Jérémy Mougin and Sabrina Guérin-Rechdaoui and Céline Roose-Amsaleg},
  journal = {International Journal of Limnology},
  year = {2026},
  month = jul,
  doi = {10.1051/limn/2026006},
  url = {https://hal.science/hal-05743864v1},
  note = {CC BY 4.0},
}

RIS

TY  - JOUR
TI  - Modeling the dynamics of PMMoV, a sewage-associated virus in the Seine River across Paris
AU  - Alisa Langlais
AU  - Louis Ramseyer
AU  - Achim Quaiser
AU  - Fabrice Mahé
AU  - Valérie Monbet
AU  - Anthony Marconi
AU  - Jérémy Mougin
AU  - Sabrina Guérin-Rechdaoui
AU  - Céline Roose-Amsaleg
PY  - 2026
DA  - 2026/07/07
JO  - International Journal of Limnology
DO  - 10.1051/limn/2026006
UR  - https://hal.science/hal-05743864v1
AB  - Assessing the water quality of bathing waters is possible by monitoring bioindicator organisms such as microorganisms. As the most abundant biological entities in water bodies, viruses have shown potential to reflect anthropogenic contamination. In this context, this project aimed to investigate the temporal and spatial dynamics of one specific sewage-associated virus in the Seine River: the pepper mild mottle virus (PMMoV). We developed a system of partial differential equations to model the transport and longitudinal evolution of viral concentrations as a function of river flow. The proposed model successfully reproduced and explained the upstream increase of PMMoV in the studied Parisian section of the Seine River and could be applied to other methods of virus enumeration, other viruses or other rivers.
SN  - 2823-1465
ER  -

Abstract

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