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An AIS-based emission inventory and the impact on air quality in Tianjin port based on localized emission factors

机译：基于AIS的排放库存和基于局部排放因子的天津港对空气质量的影响

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摘要

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 × 10~4 t, 2.861 × 10~4t, 2.04 × 10~3 t, 1.82 × 10~3t,1.13 × 10~3t, and 2.21 × 10~3t, 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_2 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.
机译：船舶污染已成为一个热门的全球问题。本研究建立了天津港口排放的基本信息数据库，并用它来筛选代表船舶类型，并通过便携式排放测量系统（PEM）执行现实世界船舶测量，这产生了局部排放因子。结果表明，本地化排放因子明显高于中文指南推荐的排放因子，这将导致以前库存的计算结果降低。通过组合局部排放因子，使用基于自动识别系统（AIS）数据的“自下而上”方法开发了天津端口的高时的空间空间船排放清单。 2018年SO2，NOX，PM10，PM2.5，THC和CO的总估计船舶排放量为1.453×10〜4T，2.861×10〜4T，2.04×10〜3 T，1.82×10〜3T，1.13× 10〜3t，分别为2.21×10〜3t。 NOx是主要污染物，占56.9％，其次是SO2（28.9％）。在港口区域中使用低硫燃料显着降低了SO_2和初级颗粒的放电。主通道和锚地是发射强度最高的区域。近期船舶排放根据船舶活动而变化，2月份最低，5月最高。货运船舶对各种污染物排放的贡献超过60％。主要发动机（MES）是最大的排放来源，其次是辅助发动机（AES）。由于大气分散建模系统（ADMS）模型分析，NOx和Sox对周边地区的空气质量影响最大，特别是在夏季和秋季的空气质量。我们的研究将更新本地化排放因子和库存，并评估船舶排放对空气质量的影响。

著录项

  • 来源
    《Science of the total environment》 |2021年第20期|146869.1-146869.11|共11页
  • 作者

    Lei Yang; Qijun Zhang; Yanjie Zhang; Zongyan Lv; Yanan Wang; Lin Wu; Xi Feng; Hongjun Mao;

  • 作者单位

    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;

    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;

    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;

    China Classification Society Industrial Corp. Tianjin Branch 300450 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;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Ship emission inventory; Localized emission factor; AIS data; ADMS; Air quality;

    机译：船舶排放库存;局部排放因子;AIS数据;adms;空气质量;

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