Grupo UTN GISTAQ - Difusión Científica - Artículos de Revista

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/3707

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Author: search.filters.author.Tenev, María DanielaHas files: Yes

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    Turbidity estimation by machine learning modelling and remote sensing techniques applied to a water treatment plant
    (International Centre for Sustainable Development of Energy, Water and Environment Systems SDEWES, 2025-06-01) Gauto, Víctor Hugo; Utgés, Enid Marta; Hervot, Elsa Ivonne; Tenev, María Daniela; Farías, Alejandro Rubén
    Clean water is a scarce resource, fundamental for human development and well-being. Remote sensing techniques are used to monitor and retrieve quality estimators from water bodies. In situ sampling is an essential and labour-intensive task with high costs. As an alternative, a large water quality dataset from a potabilisation plant can be beneficial to this step. Combining laboratory measurements from a water treatment plant in North-East Argentina and spectral data from the Sentinel-2 satellite platform, several regression algorithms were proposed, trained, and compared for turbidity estimation at the plant inlet water in a local river. The highest performance metrics were from a Random Forest model with a coefficient of determination close to 1 (0.913) and the lowest root-mean-squared error (143.9 nephelometric turbidity units). Global feature importance and partial dependencies profile techniques identified the most influential spectral bands. Maps and histograms were made to explore the spatial distribution of turbidity.
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    Cotton industry waste as adsorbent for methylene blue
    (2019-03-01) Tenev, María Daniela; Torre, Camila; Fontana, Gimena Lilián; Caracciolo, Néstor; Boeykens, Susana; Farías, Alejandro Rubén
    Removing dyes used in the textile industry from the water bodies is a relevant task because of the importance of their high toxicity. The cotton industry waste is a big problem in the final disposal. Waste cotton fibrils were studied as adsorbent material to treat the coloured effluents of the textile industry. Washing with boiling water was determined as the most efficient method for cleaning. The material was physical characterized. After that, methylene blue adsorption tests were carried out to review the dry removal process at different pH. The Langmuir isotherm and the pseudo-second kinetic order models best described this adsorption process. The results would indicate that the process involve a chemisorptions.