Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran”
(2019) In Environmental Science and Pollution Research p.10439-10440
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ff9f605c-f0cd-4dae-a21b-b9899e1f0e9f
- author
- Mohammadi, Babak LU
- organization
- publishing date
- 2019
- 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}}, }