Zobrazeno 1 - 10
of 26
pro vyhledávání: '"M. Peleato"'
Autor:
Ammar Riyadh, Nicolas M. Peleato
Publikováno v:
Digital Chemical Engineering, Vol 14, Iss , Pp 100202- (2025)
Ensuring safe drinking water necessitates advanced management and monitoring techniques for water quality in distribution systems. This study leverages machine learning (ML) to model chlorine decay in a water distribution system (WDS) in British Colu
Externí odkaz:
https://doaj.org/article/80ed2e8387474a57ba536eb4c156bf0c
Autor:
Yirao Zhang, Nicolas M. Peleato
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2161-2176 (2023)
Cyanobacterial blooms are a persistent concern to water management and treatment, with blooms potentially causing the release of toxins and degrading water quality. However, previous models have not considered the zero inflation of cyanobacteria coun
Externí odkaz:
https://doaj.org/article/f446f9328916469f9ef123d1a978c168
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9192dbaa1e61fac5c8c2da9edafce6ca
https://doi.org/10.1007/s11157-021-09592-y
https://doi.org/10.1007/s11157-021-09592-y
Autor:
Atefeh Aliashrafi, Nicolas M. Peleato
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811910609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9642bce84b3e3f59d777bcd3b0b59e9
https://doi.org/10.1007/978-981-19-1061-6_25
https://doi.org/10.1007/978-981-19-1061-6_25
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::183319a8494d07db581087b7b8def9f4
https://pubmed.ncbi.nlm.nih.gov/36287271
https://pubmed.ncbi.nlm.nih.gov/36287271
Publikováno v:
Journal of hazardous materials. 430
Approximately 1.4 billion m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8f7612a04e36537035e00752a31d89
https://pubmed.ncbi.nlm.nih.gov/35739672
https://pubmed.ncbi.nlm.nih.gov/35739672
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
Autor:
Yirao Zhang, Nicolas M. Peleato
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::565092fe3d937f6e4f60aab5ee72d202
https://doi.org/10.2139/ssrn.3939421
https://doi.org/10.2139/ssrn.3939421
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b02be10abee33420fd9f2db49ca3ca3
https://doi.org/10.1039/c8ew00821c
https://doi.org/10.1039/c8ew00821c