dc.contributor.author | Yalda Norouzi, Gharakezloo | |
dc.contributor.author | Mohammad Reza, Nikoo | |
dc.contributor.author | Ayoub, Karimi-Jashni | |
dc.contributor.author | Ghorbani Mooselu, Mehrdad | |
dc.date.accessioned | 2022-04-12T07:08:21Z | |
dc.date.available | 2022-04-12T07:08:21Z | |
dc.date.created | 2021-09-11T11:14:53Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Gharakezloo 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.issn | 0944-1344 | |
dc.identifier.uri | https://hdl.handle.net/11250/2990985 | |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.title | A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2021 The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature | en_US |
dc.subject.nsi | VDP::Teknologi: 500 | en_US |
dc.source.pagenumber | 8597–8612 | en_US |
dc.source.volume | 29 | en_US |
dc.source.journal | Environmental science and pollution research international | en_US |
dc.identifier.doi | https://doi.org/10.1007/s11356-021-16242-x | |
dc.identifier.cristin | 1933443 | |
cristin.qualitycode | 1 | |