1. Coupling high-frequency measurements and predictive modelling for monitoring and an early warning system of cyanobacteria blooms
- Author
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Vinçon-Leite, Brigitte, Piccioni, Francesco, Hong, Yi, Tran Khac, Viet, Lemaire, Bruno J., Furstenau Plec, Denis, Li, Chenlu, Dubois, Philippe, Saad, Mohamed, Hmimina, Gabriel, Soudani, Kamel, Quiblier, Catherine, Tambosco, Kevin, Six, Gonzague, Freissinet, Catherine, Decencière, Beatriz, Humbert, Jean-François, Laboratoire Eau Environnement et Systèmes Urbains (LEESU), École des Ponts ParisTech (ENPC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Molécules de Communication et Adaptation des Micro-organismes (MCAM), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Gustave Eiffel, Artelia Eau & Environnement [Echirolles], Artelia Eau & Environnement [Lyon], CEREEP-Ecotron Ile de France (UMS 3194), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Philipp Hess, ANR-13-ECOT-0001,OSS-CYANO,Développement d'un capteur optique et d'un système drone pour la surveillance spatiale des cyanobactéries dans les écosystèmes aquatiques continentaux(2013), Vinçon-Leite, Brigitte, EcoTechnologies & EcoServices - Développement d'un capteur optique et d'un système drone pour la surveillance spatiale des cyanobactéries dans les écosystèmes aquatiques continentaux - - OSS-CYANO2013 - ANR-13-ECOT-0001 - ECO-TS - VALID, Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
urban lakes ,web platform ,[SDE.IE]Environmental Sciences/Environmental Engineering ,forecasting ,[SDE.IE] Environmental Sciences/Environmental Engineering ,[SDU.STU.OC] Sciences of the Universe [physics]/Earth Sciences/Oceanography ,3D modelling ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography - Abstract
International audience; In urban watersheds, anthropogenic activities have major impacts on the ecological quality of water bodies. The degradation of water quality can result in toxic cyanobacteria blooms, which in turn may cause serious health risks to people in contact with water, e.g. when doing water sports. Due to the complexity of natural processes in water bodies, physically-based and spatially distributed models are valuable tools for better understanding the interactions between variables driving cyanobacteria blooms, as well as for helping stakeholders determine management strategies. However, traditional in situ measurements are limited by temporal and spatial resolution to make such numerical models reliable. Continuous in situ measurements provided by automated high-frequency monitoring can significantly improve adaptive decision-making. The main objectives of this work were to (i) set up a full-scale experimental site for high-frequency monitoring of cyanobacteria biomass in an urban lake; (ii) couple the high-frequency measurements and a physicallybased three-dimensional hydro-ecological model for predicting cyanobacteria blooms; (iii) implement atransfer platform for real-time data management; and (iv) develop a web platform for communicating information to lake managers, other stakeholders and the public. These steps were conducted in the framework of the OSS-cyano project, funded by the French Research Agency (ANR). The study site is Lake Champs-surMarne (0.12 km2 surface, 3.5 m maximum depth), located in Greater Paris. The field monitoring includesmeasurements of water temperature, dissolved oxygen, chlorophyll-a fluorescence and phycocyanin fluorescence at 10 min time steps, and regular vertical profiles of temperature and fluorescence of the main phytoplankton groups. The Delft3D hydrodynamic and ecological modules, Flow and Bloom respectively, were implemented. Using continuous measurements and short-term meteorological forecast, a predictive modelling of the cyanobacteria biomass evolution over four days was performed. Simulation results can then be communicated to the lake manager and the public through a web platform for health risk warning.
- Published
- 2020