Impact of Maritime Transport Efficiency on Shipping Emissions
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 349
Special Issue Editors
Interests: ship energy efficiency measures; data-driven modeling; voyage optimization; autonomous ships
Special Issues, Collections and Topics in MDPI journals
Interests: maritime economics; maritime logistics; shipping emissions; green transport
Special Issue Information
Dear Colleagues,
Shipping carries almost 90% of worldwide trade, emitting many air pollutants into the atmosphere, including carbon dioxide, black carbon, NOx, and SOx. The air emissions from ships significantly impact climate change and ocean acidification and threaten public health and welfare. Climate change also results in more severe sea conditions that may challenge a ship’s safety when sailing at sea. Developing and verifying the means to reduce air emissions from shipping is urgent. Shipping sustainability is strongly related to the ocean environments encountered by ships. The development and promotion of energy efficiency measures depending on the reliable spatiotemporal modeling of metocean environments are necessary inputs to estimate air emissions from ships. These ocean models are also the basis for exploring renewable energy for ship-propulsive sources, which can help the shipping industry become carbon neutral. It is also essential to model air emissions from shipping by implementing various energy efficiency measures across multiple sailing scenarios and business models.
To promote the decarbonization of maritime transport, we invite you to report your research that contributes to developing, evaluating, and installing energy efficiency measures to reduce air emissions from shipping. Solicited contributions include but are not limited to the statistical modeling of wind and waves, spatiotemporal modeling of air emissions due to transport, the monitoring of air emissions from shipping, extreme sea conditions due to climate change, the study of air emissions reduction due to renewable propulsions, various energy efficiency measures to decarbonize shipping. Papers on means and models to evaluate fuel and air emissions from shipping, climate impacts from Arctic shipping, and barriers to fossil-free shipping are also welcome.
Dr. Wengang Mao
Prof. Dr. Qing Liu
Dr. Da Wu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- modeling air emissions from shipping
- monitoring air emissions from shipping
- Arctic Ocean environment modeling
- ship performance and emission modeling
- energy efficiency measures
- data-driven modeling
- quantifying rules and regulations
- statistical modeling of the ocean environment
