reference/34065577

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34065577

Outgoing Links

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contentType	Journal Article
issn	0048-9697
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publicationName	The Science of the total environment
startingPage	157096
bibliographicCitation	Xia L, Han Q, Shang L, Wang Y, Li X, Zhang J, Yang T, Liu J, Liu L. Quality assessment and prediction of municipal drinking water using water quality index and artificial neural network: A case study of Wuhan, central China, from 2013 to 2019. Sci Total Environ. 2022 Oct 20;844():157096. doi: 10.1016/j.scitotenv.2022.157096. PMID: 35779730.
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date	2022-10-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Quality assessment and prediction of municipal drinking water using water quality index and artificial neural network: A case study of Wuhan, central China, from 2013 to 2019
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Total number of triples: 38.