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Nanocomposite-based high-performance adsorptive water filters: recent advances, limitations, nanotoxicity and environmental implications
No full textChlorophyll soft-sensor based on machine learning models for algal bloom predictions
No full textHarmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations to the proper implementation of water safety plans. This work combines automatic high-frequency monitoring (AFHM) systems with machine learning (ML) techniques to build a data-driven chlorophyll-a (Chl-a) soft-sensor. Massive data for water temperature, pH, electrical conductivity (EC) and system battery were taken for three years at intervals of 15 min from two different areas of As Conchas freshwater reservoir (NW Spain). We designed a set of soft-sensors based on compact and energy efficient ML algorithms to infer Chl-a fluorescence by using low-cost input variables and to be deployed on buoys with limited battery and hardware resources. Input and output aggregations were applied in ML models to increase their inference performance. A component capable of triggering a 10 μg/L Chl-a alert was also developed. The results showed that Chl-a soft-sensors could be a rapid and inexpensive tool to support manual sampling in water bodies at risk
Bibliometric and sentiment analysis with machine learning on the scientific contribution of Professor Srinivasa Sourirajan
No full textAssessment of social vulnerability to groundwater pollution using K-means cluster analysis
No full textAging-Responsive Phase Transition of VOOH to V10O24·nH2O vs Zn2+ Storage Performance as a Rechargeable Aqueous Zn-Ion Battery Cathode
No full textDeveloping High-Performance In-Plane Flexible Aqueous Zinc-Ion Batteries with Laser-Scribed Carbon-Supported All Electrodeposited Electrodes
No full textSCHEER (Scientific Committee on Health, Environmental and Emerging Risks), Final opinion on groundwater quality standards for proposed additional pollutants in the annexes to the Groundwater Directive (2006/118/EC). 18 July 2022
No full textNitrate Removal by Donnan Dialysis and Anion-Exchange Membrane Bioreactor Using Upcycled End-of Life Reverse Osmosis Membranes
No full textThis work explores the application of Reverse Osmosis (RO) upcycled membranes, as Anion Exchange Membranes (AEMs) in
Donnan Dialysis (DD) and related processes, such as the Ion Exchange Membrane Bioreactor (IEMB), for the removal of nitrate from contaminated water, to meet drinking water standards. Such upcycled membranes might be manufactured at a lower price than commercial AEMs, while their utilization reinforces the commitment to a circular economy transition. In an effort to gain a better understanding of such AEMs, confocal �-Raman spectroscopy was employed, to assess the distribution of the ion-exchange sites through the thickness of the prepared membranes, and 2D fluorescence spectroscopy, to evaluate alterations in the membranes caused by fouling and chemical cleaning The best performing membrane reached a 56% average nitrate removal within 24 h in the DD and IEMB systems, with the latter furthermore allowing for simultaneous elimination of the pollutant by biological denitrification, thus avoiding its discharge into the environment. Overall, this work validates the technical feasibility of using RO upcycled AEMs in DD and IEMB processes for nitrate removal. This membrane recycling concept might also find applications for the removal and/or recovery of other target negatively charged species
Tecnologías avanzadas de tratamiento de aguas residuales
No full textUno de los principales retos del sector de tecnologías de tratamiento de aguas residuales es la mejora de los sistemas actuales de tratamiento o el desarrollo de nuevos sistemas capaces de ser más sostenibles y eficaces en la obtención de una agua depurada que sea apta para su reutilización o devolución a los
medios naturales con un impacto ambiental cero en una sociedad creciente y con consumos de sustancias cada vez más complejas en la vida diaria. Actualmente, existen listas de sustancias peligrosas prioritarias así como de vigilancia que han
despertado una preocupación más reciente para proteger el medio acuático. Estas sustancias son el principal foco de atención en el desarrollo de tecnologías efectivas y sostenibles para su eliminación. Asimismo, los fangos generados en los diferentes procesos de depuración de aguas residuales, requieren nuevas estrategias de gestión y tratamiento que minimicen su envío como residuo a vertedero y potencien su transformación en bioproductos de valor añadido en un marco de bioeconomía
circular