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Decadal evolution of ship emissions in China from 2004 to 2013 by using an integrated AIS-based approach and projection to 2040

机译:2004年至2013年中国船舶排放的十年演变(采用基于AIS的综合方法并预测到2040年)

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Ship emissions contribute significantly to air pollution and pose health risks to residents of coastal areas in China, but the current research remains incomplete and coarse due to data availability and inaccuracy in estimation methods. In this study, an integrated approach based on the Automatic Identification System (AIS) was developed to address this problem. This approach utilized detailed information from AIS and cargo turnover and the vessel calling number information and is thereby capable of quantifying sectoral contributions by fuel types and emissions from ports, rivers, coastal traffic and over-the-horizon ship traffic. Based upon the established methodology, ship emissions in China from 2004 to 2013 were estimated, and those to 2040 at 5-year intervals under different control scenarios were projected. Results showed that for the area within 200 nautical miles?(Nm) of the Chinese coast, SOsub2/sub, NOsubx/sub, CO, PMsub10/sub, PMsub2.5/sub, hydrocarbon?(HC), black carbon?(BC) and organic carbon?(OC) emissions in 2013 were 1010, 1443, 118, 107, 87, 67, 29 and 21?kt?yrsup?1/sup, respectively, which doubled over these 10 years. Ship sources contributed ~?10?% to the total SOsub2/sub and NOsubx/sub emissions in the coastal provinces of China. Emissions from the proposed Domestic Emission Control Areas?(DECAs) within 12?Nm constituted approximately 40?% of the all ship emissions along the Chinese coast, and this percentage would double when the DECA boundary is extended to 100?Nm. Ship emissions in ports accounted for about one-quarter of the total emissions within 200?Nm, within which nearly 80?% of the emissions were concentrated in the top 10 busiest ports of China. SOsub2/sub emissions could be reduced by 80?% in 2020 under a 0.5?% global sulfur cap policy. In comparison, a similar reduction of NOsubx/sub emissions would require significant technological change and would likely take several decades. This study provides solid scientific support for ship emissions control policy making in China. It is suggested to investigate and monitor the emissions from the shipping sector in more detail in the future.
机译:船舶排放物是造成空气污染的重要因素,并对中国沿海地区的居民构成健康风险,但由于数据的可获得性和估算方法的不准确性,目前的研究仍不完整且粗糙。在这项研究中,开发了一种基于自动识别系统(AIS)的集成方法来解决此问题。这种方法利用了来自AIS和货物周转的详细信息以及船只的挂号信息,从而能够通过燃料类型和港口,河流,沿海交通和超视距船舶交通的排放量来量化部门的贡献。根据既定的方法,估算了中国2004年至2013年的船舶排放量,并预测了在不同控制情景下每5年间隔到2040年的船舶排放量。结果表明,在中国海岸200海里(Nm)以内的区域,SO 2 ,NO x ,CO,PM 10 ,2013年PM 2.5 ,碳氢化合物(HC),黑碳(BC)和有机碳(OC)排放分别为1010、1443、118、107、87、67、29和21? kt?yr ?1 分别在这十年间翻了一番。船源对中国沿海省份的SO 2 和NO x 排放总量的贡献约为〜10%。拟议中的“国内排放控制区”(DECA)在12?Nm内的排放量约占中国沿海所有船舶排放量的40%,而当DECA边界扩展到100?Nm时,这一百分比将翻倍。在200?Nm范围内,港口的船舶排放量约占总排放量的四分之一,其中近80%的排放量集中在中国最繁忙的十大港口中。根据全球硫含量上限0.5%的政策,到2020年SO 2 排放量可减少80%。相比之下,NO x 排放量的类似减少将需要重大的技术变革,并且可能需要数十年的时间。该研究为中国船舶排放控制政策的制定提供了坚实的科学支持。建议将来对航运部门的排放进行更详细的调查和监测。

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