期刊名称：Scientific Journals of the Maritime University of Szczecin
印刷版ISSN：1733-8670
电子版ISSN：2392-0378
出版年度：2017
卷号：50
页码：9-20
DOI：10.17402/211
语种：English
出版社：MUS
摘要：Oil spills from maritime activities can lead to very extensive damage to the marine environment and disrupt maritime ecosystem services.Shipping is an important activity in the Northern Baltic Sea,and with the complex and dynamic ice conditions present in this sea area,navigational accidents occur rather frequently.Recent risk analysis results indicate those oil spills are particularly likely in the event of collisions.In Finnish sea areas,the current wintertime response preparedness is designed to a level of 5000 tonnes of oil,whereas a state–of–the–art risk analysis conservatively estimates that spills up to 15000 tonnes are possible.Hence,there is a need to more accurately estimate oil spill scenarios in the Northern Baltic Sea,to assist the relevant authorities in planning the response fleet organization and its operations.An issue that has not received prior consideration in maritime waterway oil spill analysis is the dynamics of the oil outflow,i.e.how the oil outflow extent depends on time.Hence,this paper focuses on time–dependent oil spill scenarios from collision accidents possibly occurring to tankers operating in the Northern Baltic Sea.To estimate these,a Bayesian Network model is developed,integrating information about designs of typical tankers operating in this area,information about possible damage scenarios in collision accidents,and a state–of–the–art time–domain oil outflow model.The resulting model efficiently provides information about the possible amounts of oil spilled in the sea in different periods of time,thus contributing to enhanced oil spill risk assessment and response preparedness planning.
其他摘要：Tujuan dari penelitian ini adalah untuk menganalisis evaluasi pelatihan MDP;meliputi in class training (ICT),dan action learning (AL) yang mempengaruhi individual performance (IP).Dan juga untuk menemukan faktor–faktor lain yang berkontribusi dalam mensukseskan dalam pembelajaran MPD.Objek penelitian ini adalah perusahaan yang mengimplementasikan MPD dalam mengembangkan sumber daya manusianya.Penelitian ini didasarkan pada data primer dan sekunder.Data primer dikumpulkan dari wawancara pribadi;peserta,manajer pelatihan,penyedia pelatihan,penyedia fasilitas,dan pengawas peserta.Data sekunder diperoleh melalui lembar evaluasi pelatihan,dan penilaian kinerja.Data dianalisis secara kualitatif maupun kuantitatif dengan menggunakan SEM–PLS Smart software.Temuan penelitian ini adalah (1) ICT adalah positif dan signifikan mempengaruhi AL, (2) ICT dan AL tidak mempengaruhi IP secara bersamaan, (3) dukungan Pengawas menunjukkan sebagai faktor dalam memberikan kontribusi keberhasilan dari AL.Penelitian ini dapat didigunakan sebagai acuan bagi perusahaan untuk melakukan pelatihan MDP..
