Using machine learning methodology to model nutrient discharges from ports: a case study of a fertilizer terminal
author
Lappalainen, Suvi-Tuuli
Kotta, Jonne
Tombak, Mari-Liis
Tapaninen, Ulla Pirita
statement of authorship
Suvi-Tuuli Lappalainen, Jonne Kotta, Mari-Liis Tombak and Ulla Tapaninen
source
Journal of marine science and engineering
publisher
MDPI
journal volume number month
art. 143, vol. 12, 1
year of publication
2024
pages
12 p., ill
url
https://doi.org/10.3390/jmse12010143
https://www.mdpi.com/2077-1312/12/1/143
subject term
eutrofeerumine
väetised
sadamad
lämmastik
fosfor
heitmed
subject of location
Soome laht
keyword
BRT models
eutrophication
fertilizers
green port
nitrogen and phosphorus discharges
ISSN
2077-1312
notes
Bibliogr.: 25 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100830140
https://www.scopus.com/record/display.uri?eid=2-s2.0-85183398904&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Using+machine+learning+methodology+to+model+nutrient+discharges+from+ports%3A+a+case+study+of+a+fertilizer+terminal%22%29&sessionSearchId=8f8b8c017efec7148dd652d6fbd5901d&relpos=0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20MAR%20SCI%20ENG&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001151272200001
category (general)
Engineering
Tehnika
Environmental science
Keskkonnateadus
category (sub)
Engineering. Civil and structural engineering
Tehnika. Ehitus- ja ehitustehnika
Engineering. Ocean engineering
Tehnika. Ookeani tehnika
Environmental science. Water science and technology
Keskkonnateadus. Veeteadus ja -tehnoloogia
TalTech department
Eesti Mereakadeemia
language
inglise