基于AIS数据的中国沿海集装箱港口碳排放

为了精确有效地测量船舶在港碳排放,提出了一种基于海量船舶AIS (Automatic identification System)航行轨迹数据的港口碳排放计算框架,并结合上市港务公司经营数据,估算港口碳排放承担能力.以中国11个沿海主要集装箱港口为例,采用2018年全球4280艘集装箱船的AIS轨迹全年数据计算碳排放社会成本.结果显示:中国沿海集装箱港口碳排放量与船舶抵港艘次整体呈正相关,上海港是全球第一大集装箱港口,2018年其港口CO₂排放量最高,为69.3万t;船舶靠港作业时,在泊和锚泊状态CO₂的排放比例较高,占碳排放比例的65.8%;从CO₂排放社会成本来看,上海港域内的船舶碳排放社会成本最高,2018年需要支付2459.6万元,从承担碳排放社会成本的能力来看,连云港压力较大,每亿营业收入需要承担碳排放社会成本24.46万元.

Carbon emission from coastal container ports in China based on AIS data

A calculation framework of port carbon emission was proposed to accurately and effectively measure the carbon emission of ships in port, and the carbon emission capacities of ports were analyzed based on massive ship AIS (automatic identification system) navigation trajectory data and the operating data of listed port companies. Taking the AIS trajectory data of 4,280 container ships in 2018 as an example, we achieved several results in calculating the social cost of carbon emissions of the 11major coastal container ports in China. First of all, the result revealed that the carbon emissions of China's coastal container ports were overall positively correlated with the number of ships arriving at the port. For example, Shanghai port was the world's largest container port in 2018, which also suffered the highest carbon dioxide emissions of 693,000 tons. Secondly, the proportion of carbon dioxide emissions of ships in berthing and anchoring was relatively high, accounting for 65.8% of carbon emissions in port. Thirdly, the social cost of carbon emission from ships in the Shanghai port area was the highest, reaching 24.596million yuan in total. But in terms of the capacity to bear the social cost of carbon emission, Lianyungang was under tremendous pressure, expending 244,600 yuan on the social cost of carbon emission for every 100million operating incomes.