Grupo UTN GISTAQ - Difusión Científica - Artículos de Revista

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

Browse

Author: search.filters.author.Utgés, Enid MartaStart date: 2019

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    Furfural biodegradation in consortium through bacillus licheniformis, microbacterium sp. and brevundimonas sp.
    (2022) Farías, Alejandro Rubén; Echeverría, Macarena Celeste; Utgés, Enid Marta; Fontana, Gimena Lilián; Cuadra, Pablo Nicolás
    Furfural (Furan-2-carbaldehyde) is a potentially toxic substance. Indigenous bacterial strains naturally adapted to that contaminant were previously isolated from the effluent of a tannin industry and identified as Microbacterium sp., Bacillus licheniformis and Brevundimonas sp. The aim of this work was to determine the maximum concentration of furfural that can be degraded by bacterial consortium metabolism. The colonies were activated in peptone solution and then in a mineral medium with glucose as co-substrate, adding the bacterial consortium and different concentrations of furfural. They were incubated in a shaker during 72 hours at 30 °C and 200 rpm. Bacterial growth was monitored by measuring absorbance at 610 nm. The concentration of furfural was analyzed by High Performance Liquid Chromatography. The consortium was able to grow in furfural concentration of up to 4516 mg L-1. Up to 2723 mg L-1 can be degraded in 24 hours. According to these results, a considerable furfural consumption increase is possible with a consortium.