Editorial: Theoretical analysis and applications of artificial intelligence in hydrology and water resource management

Wen, S

Feng, Z

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Field	Value	Language
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Feng, Z
dc.date.accessioned	2024-01-16T21:34:31Z
dc.date.available	2024-01-16T21:34:31Z
dc.date.issued	2023-04-01
dc.identifier.citation	Water Supply, 2023, 23, (4), pp. III-VI
dc.identifier.issn	1606-9749
dc.identifier.issn	1607-0798
dc.identifier.uri	http://hdl.handle.net/10453/174653
dc.language	English
dc.publisher	IWA PUBLISHING
dc.relation.ispartof	Water Supply
dc.relation.isbasedon	10.2166/WS.2023.080
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0904 Chemical Engineering, 0905 Civil Engineering, 0907 Environmental Engineering
dc.subject.classification	Environmental Engineering
dc.subject.classification	4004 Chemical engineering
dc.subject.classification	4005 Civil engineering
dc.title	Editorial: Theoretical analysis and applications of artificial intelligence in hydrology and water resource management
dc.type	Journal Article
utslib.citation.volume	23
utslib.for	0904 Chemical Engineering
utslib.for	0905 Civil Engineering
utslib.for	0907 Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-16T21:34:30Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	4

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