Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nicolás M, Peleato"'
Autor:
Nicolás M. Peleato
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Fluorescence spectroscopy can provide high-level chemical characterization and quantification that is suitable for use in online process monitoring and control. However, the high-dimensionality of excitation–emission matrices and superposi
Externí odkaz:
https://doaj.org/article/2cdbc07c98b94bf5b4ee2ff93accb5c6
Publikováno v:
Reviews in Environmental Science and Bio/Technology. 20:985-1009
There are significant opportunities to optimize drinking water treatment and water resource management using data-driven models. Modelling can help define complex system behaviour, such as water quality and environmental systems, giving insight into
Publikováno v:
Environmental monitoring and assessment. 195(1)
This research proposes a new method that fuses data from the field and lab-based optical measures coupled with machine learning algorithms to quantify the concentrations of toxic contaminants found in fuels and oil sands process-affected water. Selec
Publikováno v:
Journal of hazardous materials. 430
Approximately 1.4 billion m
Autor:
Nicolás M. Peleato
Fluorescence spectroscopy can provide high-level chemical characterization and quantification that is suitable for use in online process monitoring and control. However, the high-dimensionality of excitation-emission matrices and superposition of und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b33e859147f3695c8ee0dcf95ff66a4
https://doi.org/10.21203/rs.3.rs-806261/v1
https://doi.org/10.21203/rs.3.rs-806261/v1
Publikováno v:
Environmental Science: Water Research & Technology. 5:315-324
Application of real-time fluorescence excitation emission matrices (EEM) as a tool for water quality assessment was investigated. A bench-scale fluorescence system with on-line monitoring capabilities was used to quantify several polycyclic aromatic
Publikováno v:
Water Research. 136:84-94
The use of fluorescence data coupled with neural networks for improved predictability of drinking water disinfection by-products (DBPs) was investigated. Novel application of autoencoders to process high-dimensional fluorescence data was related to c
Autor:
Ziyu Li, Nicolás M. Peleato
Publikováno v:
Chemosphere. 276:130064
Fluorescence spectroscopy shows promise as a tool for monitoring water quality due to its real-time capabilities and sensitive detection of several compounds of interest. Previous work has shown the possible use of fluorescence to detect and quantify
Publikováno v:
Journal - American Water Works Association. 109:E86-E98
Publikováno v:
Water research. 170
Levels of fecal indicator bacteria (FIB) provide a surrogate measure of the microbial quality of water used for a wide range of applications. Despite the common use of these measures, a significant limitation is a delay in results due to the time req