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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年中国船舶排放船舶排放的划分演变通过使用基于AIS的综合AIS的方法和预测到2040

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摘要

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, SO2, NOx, CO, PM10, PM2.5, hydrocarbon (HC), black carbon (BC) and organic carbon (OC) emissions in 2013 were 1010, 1443, 118, 107, 87, 67, 29 and 21 kt yr(-1), respectively, which doubled over these 10 years. Ship sources contributed similar to 10% to the total SO2 and NOx 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. SO2 emissions could be reduced by 80% in 2020 under a 0.5% global sulfur cap policy. In comparison, a similar reduction of NOx 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
机译:船舶排放对中国沿海地区居民的空气污染和对健康风险有显着贡献,但目前的研究仍然是由于数据可用性和估算方法不准确而不完整和粗糙。在本研究中,开发了一种基于自动识别系统(AIS)的综合方法来解决这个问题。该方法利用来自AIS和货运营业额的详细信息和船舶呼叫号码信息,从而能够通过港口,河流,沿海交通和超越船舶交通的燃料类型和排放能力量化部门贡献。基于既定的方法,估计2004年至2013年中国的船舶排放量,预计在不同控制方案下的5年间隔为2040年。结果表明,2013年,中国海岸,SO2,NOX,CO,PM10,PM2.5,烃类(HC),黑碳(BC)和有机碳(OC)排放中的面积为200海里,SO2,NOX,CO,PM10,PM2.5,烃(碳)和有机碳(OC)排放量1010,1443,118,107,87,67,29和21 kt Yr(-1),这在这10年中加倍。船舶来源贡献类似于中国沿海省份的SO2和NOX排放量的10%。拟议的国内排放控制区域(Decas)在12纳米内的排放量构成了中国海岸所有船舶排放量的约40%,当Deca边界延长至100纳米时,这一百分比将增加一倍。港口的船舶排放量占200纳米内总排放量的约四分之一,其中近80%的排放集中在中国最繁忙的港口。 SO2排放量可在2020年下降80%,在全球硫磺盖章政策下的0.5%下降80%。相比之下,NOx排放的类似减少需要重大的技术变革,可能需要几十年。本研究为中国船舶排放控制政策制定提供了坚实的科学支持。它建议

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  • 来源
    《Atmospheric chemistry and physics》 |2018年第2期|共19页
  • 作者单位

    Jinan Univ Inst Environm &

    Climate Res Guangzhou 511442 Guangdong Peoples R China;

    Int Inst Appl Syst Anal Air Qual &

    Greenhouse Gases Program A-2361 Laxenburg Austria;

    Jinan Univ Inst Environm &

    Climate Res Guangzhou 511442 Guangdong Peoples R China;

    South China Univ Technol Sch Environm &

    Energy Guangzhou 510006 Guangdong Peoples R China;

    Univ East Anglia Sch Int Dev Norwich NR4 7TJ Norfolk England;

    Minist Transport No 2 Bldg Transport Planning &

    Res Inst 6A Shuguangxili Beijing 100028 Peoples R China;

    South China Univ Technol Sch Environm &

    Energy Guangzhou 510006 Guangdong Peoples R China;

    South China Univ Technol Sch Environm &

    Energy Guangzhou 510006 Guangdong Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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