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A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty

dc.contributor.authorYalda Norouzi, Gharakezloo
dc.contributor.authorMohammad Reza, Nikoo
dc.contributor.authorAyoub, Karimi-Jashni
dc.contributor.authorGhorbani Mooselu, Mehrdad
dc.date.accessioned2022-04-12T07:08:21Z
dc.date.available2022-04-12T07:08:21Z
dc.date.created2021-09-11T11:14:53Z
dc.date.issued2021
dc.identifier.citationGharakezloo Y. N., Nikoo, M. R., Karimi-Jashni, A. & Ghorbani Mooselu, M. (2021). A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty. Environmental science and pollution research international (29), 8597–8612.en_US
dc.identifier.issn0944-1344
dc.identifier.urihttps://hdl.handle.net/11250/2990985
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleA hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertaintyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Natureen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber8597–8612en_US
dc.source.volume29en_US
dc.source.journalEnvironmental science and pollution research internationalen_US
dc.identifier.doihttps://doi.org/10.1007/s11356-021-16242-x
dc.identifier.cristin1933443
cristin.qualitycode1


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