Statistical Modeling of Bilge Water Discharge from Ships During Normal Operation

This study estimated the amount of bilge water spilled from ships during normal operation and identified the contributing factors of the discharge by building a statistical model. To build the statistical model, we collected as much information as possible about the amount of bilge water in ships, t...

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Bibliographic Details
Published inJournal of marine science and engineering Vol. 8; no. 5; p. 320
Main Authors Motoyoshi, Munekazu, Nishi, Yoshiki
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2020
Subjects
Bayesian analysis
Bayesian statistics
Bilge water
Binomial distribution
Computer simulation
Hulls (Naval architecture)
Hydrocarbons
Maintenance and repair
marine pollution
Markov Chain Monte Carlo
Markov chains
Mathematical models
Maximum likelihood method
Monte Carlo simulation
Oil spills
Parameters
Pollution
Probability distribution
Probability theory
Regulation
Ships
Statistical analysis
Statistical methods
statistical model
Statistical models
Water discharge
Japan
United States > US
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Summary:This study estimated the amount of bilge water spilled from ships during normal operation and identified the contributing factors of the discharge by building a statistical model. To build the statistical model, we collected as much information as possible about the amount of bilge water in ships, then used the collected information to formulate a probability distribution of the discharge amount according to Bayesian statistics, and determined the parameters included in the model by applying a Markov Chain Monte Carlo method. The analysis of those parameters shows that the integrated bilge treatment system (IBTS) primarily contributes to reductions in the discharge amount, and that the container-type ship is involved with especially large discharge amounts.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse8050320