Department of Statistics and Applied Probability, National University of Singapore, Singapore.
Department of Statistics and Applied Probability, National University of Singapore, Singapore.
Sci Total Environ. 2021 Oct 1;789:148063. doi: 10.1016/j.scitotenv.2021.148063. Epub 2021 May 27.
The maritime industry plays a key role in reducing greenhouse gas (GHG) emissions, as an effort to combat the global issue of climate change. The International Maritime Organization (IMO) is targeting a 50% reduction in GHG emissions by 2050 compared to 2008. To measure Singapore's progress towards this target, we have conducted a comprehensive analysis of carbon dioxide (CO) emissions from the Western Singapore Straits based on the voyage data from Automatic Identification System (AIS) and static information from Singapore Maritime Data Hub (SG-MDH). Two methodologies, the MEET and TRENDS frameworks were applied to estimate the emission volume per vessel per hour. The data analysis results were next aggregated and visualised to answer key questions such as: How did the carbon emission level change from 2019 to 2020, in general, and for specific vessel types? What are the top vessel types and flags that had the highest carbon emissions? Did the traffic volume and emission level decrease during the Circuit Breaker period in 2020? The results of this study can be used to review Singapore's emission control measures and will be of value to the Maritime and Port Authority (MPA) of Singapore responsible for managing CO emissions at the Singapore Port.
航运业在减少温室气体（GHG）排放方面发挥着关键作用，是应对全球气候变化问题的努力的一部分。国际海事组织（IMO）的目标是到 2050 年将温室气体排放量与 2008 年相比减少 50%。为了衡量新加坡在实现这一目标方面的进展，我们根据自动识别系统（AIS）的航行数据和新加坡海事数据中心（SG-MDH）的静态信息，对西部新加坡海峡的二氧化碳（CO）排放进行了全面分析。采用了两种方法，即 MEET 和 TRENDS 框架，来估算每艘船每小时的排放量。接下来，对数据分析结果进行了汇总和可视化，以回答关键问题，例如：总体而言，2019 年至 2020 年的碳排放水平如何变化，以及特定船舶类型的情况如何？碳排放量最高的船舶类型和船旗国有哪些？2020 年断路器期间交通量和排放量是否下降？这项研究的结果可用于审查新加坡的排放控制措施，并将对负责管理新加坡港口 CO 排放的新加坡海事及港务管理局（MPA）具有价值。
