Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches.
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| Title: | Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches. |
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| Authors: | Uddin MG; Civil Engineering, School of Engineering, College of Science and 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, University of Galway, Ireland; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh. Electronic address: mdgalal.uddin@universityofgalway.ie., Imran MH; Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh., Sajib AM; Civil Engineering, School of Engineering, College of Science and 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, University of Galway, Ireland., Hasan MA; Bangladesh Reference institute for Chemical Measurements (BRiCM), Dr. Qudrat-e-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh., Diganta MTM; Civil Engineering, School of Engineering, College of Science and 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, University of Galway, Ireland., Dabrowski T; Marine Institute, Rinville, Ireland., Olbert AI; Civil Engineering, School of Engineering, College of Science and 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, University of Galway, Ireland., Moniruzzaman M; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh. |
| Source: | Journal of contaminant hydrology [J Contam Hydrol] 2024 Feb; Vol. 261, pp. 104307. Date of Electronic Publication: 2024 Jan 21. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8805644 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6009 (Electronic) Linking ISSN: 01697722 NLM ISO Abbreviation: J Contam Hydrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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