Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
Sci Total Environ. 2021 Aug 20;783:146869. doi: 10.1016/j.scitotenv.2021.146869. Epub 2021 Apr 6.
Ship pollution has become a hot global issue. This study established a basic information database of Tianjin Port ship emissions and used it to screen representative ship types and perform real-world ship measurements by a portable emission measurement system (PEMS), which generated localized emission factors. The results show that the localized emission factors are significantly higher than those recommended in recommended in Chinese guidelines, which will lead to lower calculation results of the previous inventory. A high temporal-spatial ship emission inventory for Tianjin Port was developed using a "bottom-up" method based on automatic identification system (AIS) data by combining localized emission factors. The total estimated ship emissions for SO2, NOX, PM10, PM2.5, THC and CO in 2018 were 1.453 × 10 t, 2.861 × 10 t, 2.04 × 10 t, 1.82 × 10 t, 1.13 × 10 t, and 2.21 × 10 t, respectively. NOX was the primary pollutant, accounting for 56.9%, followed by SO2 (28.9%). The use of low-sulfur fuel in the port area has significantly reduced the discharge of SO and primary particles. The main channel and anchorage are the areas with the highest emission intensity. The intermonth ship emissions varied according to the ship activity, lowest in February and highest in May. The contribution of cargo transportation vessels to various pollutant emissions is more than 60%. Main engines (MEs) were the largest source of emissions, followed by auxiliary engines (AEs). NOX and SOX from ships have the greatest impact on the air quality in the surrounding area, especially in summer and autumn, as analyzed by the atmospheric dispersion modeling system (ADMS) model. Our research will update localized emission factors and inventories and evaluate the impact of ship emissions on air quality.
船舶污染已成为一个全球性热点问题。本研究建立了天津港船舶排放基础信息数据库，并利用便携式排放测量系统（PEMS）对其代表性船型进行了实际测量，得到本地化排放因子。结果表明，本地化排放因子显著高于中国指南中推荐的因子，这将导致先前清单计算结果偏低。本研究利用基于自动识别系统（AIS）数据的“自下而上”方法，结合本地化排放因子，开发了天津港高时空分辨率船舶排放清单。2018 年，SO2、NOX、PM10、PM2.5、THC 和 CO 的总船舶排放量估计值分别为 1.453×105 t、2.861×105 t、2.04×105 t、1.82×105 t、1.13×105 t和 2.21×105 t。NOX 是主要污染物，占比 56.9%，其次是 SO2（28.9%）。港区使用低硫燃料显著减少了 SO 和一次颗粒物的排放。主要航道和锚地是排放强度最高的区域。船舶排放随船舶活动而变化，2 月最低，5 月最高。货物运输船舶对各种污染物排放的贡献超过 60%。主机（MEs）是最大的排放源，其次是辅机（AEs）。船舶排放的 NOX 和 SOX 对周边地区的空气质量影响最大，尤其是在夏季和秋季，这可以通过大气扩散模型系统（ADMS）模型进行分析。本研究将更新本地化排放因子和清单，并评估船舶排放对空气质量的影响。
