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How do data-mining models consider arsenic contamination in sediments and variables importance?
Environ Monit Assess. 2019 Nov 28;191(12):777. doi: 10.1007/s10661-019-7979-x.
Environ Monit Assess. 2019.
PMID: 31781968
Tracking the origin of trace metals in a watershed by identifying fingerprints of soils, landscape and river sediments.
Derakhshan-Babaei F, Mirchooli F, Mohammadi M, Nosrati K, Egli M.
Derakhshan-Babaei F, et al. Among authors: mirchooli f.
Sci Total Environ. 2022 Aug 20;835:155583. doi: 10.1016/j.scitotenv.2022.155583. Epub 2022 Apr 27.
Sci Total Environ. 2022.
PMID: 35489478
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Multi-dimensional assessment of watershed condition using a newly developed barometer of sustainability.
Mirchooli F, Sadeghi SH, Khaledi Darvishan A, Strobl J.
Mirchooli F, et al.
Sci Total Environ. 2021 Oct 15;791:148389. doi: 10.1016/j.scitotenv.2021.148389. Epub 2021 Jun 10.
Sci Total Environ. 2021.
PMID: 34412389
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