Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model.

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Title: Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model.
Authors: Uddin MG; School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, National University of Ireland Galway, Ireland. Electronic address: mdgalal.uddin@universityofgalway.ie., Rahman A; School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga, Australia; The Gulbali Institute of Agriculture, Water and Environment, Charles Sturt University, Wagga, Australia., Rosa Taghikhah F; Business School, University of Sydney, Camperdown 2050, NSW, Australia., Olbert AI; School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, National University of Ireland Galway, Ireland.
Source: Water research [Water Res] 2024 May 15; Vol. 255, pp. 121499. Date of Electronic Publication: 2024 Mar 20.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2448
DOI:10.1016/j.watres.2024.121499