Estimation and spatio-temporal analysis of ship exhaust emission in a port area
Estimation and spatio-temporal analysis of ship exhaust emission in a port area
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某港区船舶废气排放估算及时空分析
DOI：
10.1016/j.oceaneng.2017.06.015
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发表时间：
2017-08
影响因子：
5
通讯作者：
Zhang Fan
中科院分区：
文献类型：
--
作者：
Huang Liang;Wen Yuanqiao;Geng Xiaoqiao;Zhou Chunhui;Xiao Changshi;Zhang Fan
航运业的快速发展带来的大气污染日益严重，给海事监督管理带来了巨大挑战。随着AIS（自动识别系统）技术的普及，可以收集到大量的航行日志，记录了丰富的船舶活动。这些日志使得应用数据驱动的方法来量化船舶的废气排放成为可能。因此，本文致力于研究船舶废气排放的近似估算方法，探索其空间分布和变化规律。首先，利用AIS日志中提取的船舶静态和动态信息区分不同的船舶航行状态。建立了船舶主、辅机和锅炉在不同工况下排放的定量模型。进一步应用时空分析方法，综合发现船舶排放清单中隐藏的知识。从空间、时间和属性等方面进行典型分析，揭示了船舶污染物排放的高污染区域、峰值排放时间、最不环保船型等信息，为船舶污染物排放监管提供了依据。最后，以宁波-舟山港为例进行了验证。实验结果表明，该研究有助于制定有效的排放控制措施，提高环境管理能力。
Atmosphere pollution brought by rapid development of shipping industry becomes increasingly serious, and has brought great challenges to maritime supervision and management. With the popularization of AIS (Automatic Identification System) technology, massive navigation logs recording rich ship activities can be collected. These logs make it possible to apply a data-driven method to quantify exhaust emissions from ships. This paper is therefore motivated to research methods of approximately estimating ship exhaust emissions and exploring its spatial distribution and variation rules. Firstly, ship static and dynamic information extracted from AIS logs are utilized to distinguish different ship navigational states. A quantitative model is then created to estimate ship emissions from main engine, auxiliary engine and boiler with varied work conditions in different states. Spatio-temporal analysis methods are further applied to comprehensively discovery knowledge hidden in ship emission inventories. Typical analyses from space, time and attributes have uncovered much useful knowledge for ship emission supervision, such as high-polluted area, peak-emission time, least environmentally friendly ship type, etc. Finally, Ningbo-Zhoushan port plays a role as case study in validating the proposed method. The experiment results illustrate this research can be helpful to make efficient emission control measures and improve the capability of environmental management.
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影响因子：
5
作者：
Ugur Kesgin;N. Vardar
通讯作者：
Ugur Kesgin;N. Vardar
DOI：
--
发表时间：
2013-03
期刊：
--
影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
2012
期刊：
Applied Mechanics and Materials
影响因子：
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作者：
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通讯作者：
Z. Jian
影响因子：
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作者：
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通讯作者：
Tang Jian-we
影响因子：
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作者：
Sang-Keun Song;Zang-Ho Shon
通讯作者：
Sang-Keun Song;Zang-Ho Shon