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Using machine learning methodology to model nutrient discharges from ports: a case study of a fertilizer terminal

author
statement of authorship
Suvi-Tuuli Lappalainen, Jonne Kotta, Mari-Liis Tombak and Ulla Tapaninen
source
publisher
journal volume number month
art. 143, vol. 12, 1
year of publication
pages
12 p., ill
url
ISSN
2077-1312
notes
Bibliogr.: 25 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
subject term
subject of location
keyword
BRT models
eutrophication
fertilizers
green port
nitrogen and phosphorus discharges
Lappalainen, S.-T., Kotta, J., Tombak, M.-L., Tapaninen, U. Using machine learning methodology to model nutrient discharges from ports: a case study of a fertilizer terminal // Journal of marine science and engineering (2024) art. 143, vol. 12, 1, 12 p., ill. https://doi.org/10.3390/jmse12010143 https://www.mdpi.com/2077-1312/12/1/143