• Nitrogen and phosphorus discharges from cargo ships’ black and grey waters — a case study of a Baltic Sea portLappalainen, Suvi-Tuuli; Tapaninen, Ulla Pirita; Kotta, JonneOceans2024 / p. 560–570 https://doi.org/10.3390/oceans5030032 https://www.scopus.com/sourceid/21101164812 https://www.scopus.com/record/display.uri?eid=2-s2.0-85205122986&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Nitrogen+and+phosphorus+discharges+from+cargo+ships%E2%80%99+black+and+grey+waters+%E2%80%94+a+case+study+of+a+Baltic+Sea+port%22%29&sessionSearchId=69510834adab9195e8ef2a068f63e89d&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=OCEANS-BASEL&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001322974400001
  • Using machine learning methodology to model nutrient discharges from ports: a case study of a fertilizer terminalLappalainen, Suvi-Tuuli; Kotta, Jonne; Tombak, Mari-Liis; Tapaninen, Ulla PiritaJournal of marine science and engineering2024 / 12 p., ill https://doi.org/10.3390/jmse12010143 https://www.mdpi.com/2077-1312/12/1/143 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 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