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Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran”

Mohammadi, Babak LU orcid (2019) In Environmental Science and Pollution Research p.10439-10440
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Machine learning, Hydroinformatics, Data mining, Lake
in
Environmental Science and Pollution Research
pages
10439 - 10440
publisher
Springer
external identifiers
  • scopus:85061347760
ISSN
1614-7499
DOI
10.1007/s11356-019-04368-y
language
English
LU publication?
yes
id
ff9f605c-f0cd-4dae-a21b-b9899e1f0e9f
date added to LUP
2022-09-18 08:26:58
date last changed
2024-02-07 11:29:29
@article{ff9f605c-f0cd-4dae-a21b-b9899e1f0e9f,
  author       = {{Mohammadi, Babak}},
  issn         = {{1614-7499}},
  keywords     = {{Machine learning; Hydroinformatics; Data mining; Lake}},
  language     = {{eng}},
  pages        = {{10439--10440}},
  publisher    = {{Springer}},
  series       = {{Environmental Science and Pollution Research}},
  title        = {{Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran”}},
  url          = {{http://dx.doi.org/10.1007/s11356-019-04368-y}},
  doi          = {{10.1007/s11356-019-04368-y}},
  year         = {{2019}},
}