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815.
titre
Evaluating the Performance of Machine Learning Approaches to Predict the Microbial Quality of Surface Waters and to Optimize the Sampling Effort
auteur
Manel Naloufi, Françoise S Lucas, Sami Souihi, Pierre Servais, Aurélie Janne, Thiago Wanderley Matos de Abreu
article
, 2021, 13, ⟨10.3390/w13182457⟩
titre
Heavy Metal Accumulation and Changes in Soil Enzymes Activities and Bacterial Functional Diversity under Long-Term Treated Wastewater Irrigation in East Central Region of Tunisia (Monastir Governorate)
auteur
Marouane Mkhinini, Iteb Boughattas, Vanessa Alphonse, Alexandre Livet, Stéphanie Gıustı-Mıller, Mohamed Bannı, Noureddine Bousserrhıne
article
, 2020, 235, pp.106150. ⟨10.1016/j.agwat.2020.106150⟩
titre
Effect of Aloe Vera Wastes on Physico-Chemical Properties and Microbiological Activity in Soils
auteur
Fatma Lanouar, Iteb Boughattas, Marouene Mkhinini, Vanessa Alphonse, Stephanie Gustier-Muller, Alex Livet, Mohamed Banni, Nourreddine Bousserhine
article
, 2018, 3 (4), pp.1292--1304. ⟨10.22161/ijeab/3.4.21⟩
titre
Influence of Ecological Restoration on Mercury Mobility and Microbial Activities on Former Guyanese Mining Sites
auteur
Ewan Couic, Vanessa Alphonse, Alexandre Livet, Stéphanie Giusti-Miller, Noureddine Bousserrhine
article
, 2021, 11 (5), pp.2231. ⟨10.3390/app11052231⟩
titre
Use of Earthworms Eisenia Andrei on the Bioremediation of Contaminated Area in North of Tunisia and Microbial Soil Enzymes as Bioindicator of Change on Heavy Metals Speciation
auteur
Iteb Boughattas, Sabrine Hattab, Vanessa Alphonse, Alexandre Livet, Stéphanie Giusti-Miller, Hamadi Boussetta, Mohamed Banni, Noureddine Bousserrhine
article
, 2019, 19 (1), pp.296--309. ⟨10.1007/s11368-018-2038-8⟩

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OSS-Cyano


The OSS-Cyano project (2014-2018) is funded by the French Research Agency (ANR Program ECO-TS). Six public laboratories (iEES, LEESU, ESE, IFSTTAR, MNHN and CEREP) and one environmental engineering company (ARTELIA) are participating to the project.

Contact at Leesu : Brigitte Vinçon-Leite
bvl@leesu.enpc.fr

Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems, due to the toxins that cyanobacteria are able to synthesize. Therefore, many countries have implemented monitoring programs aimed at reducing the risk of human exposure to these toxins. The main limitation is related to the heterogeneity of the spatial distribution of cyanobacteria. In the vertical dimension, these micro-organisms can remain in specific layers of the water column and in the horizontal scale, the cells may accumulate in somes areas of the water body, driven by winds or currents.
Many research projects have been conducted in order to develop new monitoring tools, like buoys developed during the program PROLIPHYC (ANR PRECODD). This tool is highly relevant but it does not allow assessing the horizontal distribution of cyanobacteria and its cost remains rather expansive.
In addition, if satellite remote sensing can be considered very useful for estimating the horizontal distribution of cyanobacteria biomass in a water body, the cost of this technology makes it unaffordable for routine monitoring.

In this context, the OSS-Cyano project aims to develop and validate a new, low-cost aerial sensor, to be used in a fixed single location, or deployed in network, to detect the presence of cyanobacteria in a water body. In addition, OSS-Cyano also aims to implement a drone capable of carrying the sensor to perform spatial measurements on large water bodies or river sections, and other instruments for water sampling or for performing underwater measurements.


Test of the IFSTTAR drone over Lake Grand-Lieu (Loire Atlantique, Photo Ifsttar)

The technical development of the sensor (wavelength selection, influence of natural processes on the measurements ...) and of the drone system (implementation of an adaptive platform for supporting the measuring equipments) are conducted on 2 main study sites. The first one is the PLANAQUA experimental platform which provides all the required facilities to carry out tests of the sensor on a range of aquatic systems, from microcosm to macrocosm.
The second study site is Lake Champs-sur-Marne, where the sensor can be tested in real conditions of application. Based on the data set collected in Lake Champs-sur-Marne, a 3D hydrodynamic model, using data from inlake sensors and from the aerial sensor is implemented in order to forecast short-term changes of the spatial dispersion of cyanobacteria in the water body.
More details on Lake Champs-sur-Marne

OSS-Cyano Field Survey

Lake Champs-sur-Marne

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