Statistical Analysis of Fuel Consumption and Emissions from Ships

This report presents a statistical analysis of the relationship between fuel consumption and emissions from seagoing ships in Australia. The study utilized secondary data collected from 34 ports, including variables such as nitrogen oxides (NOx), carbon monoxide (CO), carbon dioxide (CO2), particles (PM), sulfur dioxide (SO2), and volatile organic compounds (VOC). Statistical methods, including measures of central tendency, variance, Pearson correlation, and regression analysis, were employed to analyze the data. The findings revealed a strong positive relationship between fuel consumption and various emissions, with regression analysis identifying particle (PM10), carbon monoxide (CO), and carbon dioxide equivalent (CO2e) as significant predictors of fuel consumption. The study highlights the environmental impact of ship emissions and the importance of statistical analysis in understanding these complex relationships. Descriptive statistics revealed skewed distributions for most variables, indicating the need for careful interpretation of the results. The report emphasizes the implications of ship emissions on air quality and the need for further research and regulation in the maritime sector.