Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89446
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Title: Emission evaluation of marine traffic
Authors: Qi, J 
Wang, S 
Qu, X
Issue Date: 2020
Source: In Qu X., Zhen L., Howlett R., Jain L. (Eds). Smart transportation systems 2000 : proceedings of 3rd KES-STS International Symposium, p. 201-211. Singapore: Springer Nature Singapore
Abstract: Air pollution is an issue that has been widespread concern in all sectors of society. The pollutants, including toxic gases, greenhouse gases, and particulate matters, have permeated every aspect of our daily life and have a negative impact on human health, agriculture, industry, and climate change. Found by hard and thorough search, the human activities account for the majority and the transport sector is one of themost challenging areas, when it comes to abatement of local air pollution. Marine traffic, which covers over 80% of international trade, is mainly powered by cheap fuel oil with high impurities, so it will affect the social welfare of the coastal areas. Various measures that can be adopted to alleviate the problem to customize suitable regulations through research of the emission from shipping should be conducted. Also, the emission evaluation is critical to measure the efficiency of the regulation. Therefore, following themain steps of Ship Traffic Emissions Assessment Model, we summarize an activity-based framework of shipping emission evaluation that takes advantage of data from automatic identification system.
Keywords: Emission evaluation
Activity-based method
AIS data
Publisher: Springer Nature Singapore
ISBN: 978-981-15-5269-4 (Print ISBN)
978-981-15-5270-0 (Online ISBN)
DOI: 10.1007/978-981-15-5270-0_18
Description: KES International Symposium on Smart Transportation Systems (KES STS 2020), KES Virtual Conference Centre, 17-19 June 2020
Rights: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
This is a post-peer-review, pre-copyedit version of a paper published in Smart Transportation Systems 2020. Smart Innovation, Systems and Technologies, vol 185. The final authenticated version is available online at: https://doi.org/10.1007/978-981-15-5270-0_18
Appears in Collections:Conference Paper

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