Development of a spectrum-based ship fuel sulfur content real-time evaluation method
Although maritime transport plays an essential role in the global economy, it inevitably imposes negative impacts on the authors' living environment, especially for ships using fuel with high sulfur content. Nowadays, ship emission monitoring highly depends on manual inspection, which is time-consuming and labor-intensive. This study proposes a decision framework based on spectrum technology and the sulfur‑carbon ratio method to measure the ship fuel sulfur content. Specifically, after the Gaussian plume model optimization from four aspects, a multistep-based emission contribution evaluation method is developed to improve the evaluation accuracy. The proposed framework is validated by a suspected ship and a series of exempted ships from the Maritime Safety Administration in Nanjing, China. The validation results imply that the proposed framework has a certain enhancement in detection rate, evaluation accuracy and extensibility. It may provide an efficient and accurate supervision approach for the Maritime Safety Administration on ship fuel sulfur content measurement.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0025326
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Supplemental Notes:
- © 2022 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Wu, Hao
- Wang, Chao
- Chen, Enhui
- Ye, Zhirui
- Publication Date: 2023-3
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 114484
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Serial:
- Marine Pollution Bulletin
- Volume: 188
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0025-326
- Serial URL: http://www.sciencedirect.com/science/journal/0025326X
Subject/Index Terms
- TRT Terms: Environmental impacts; Fuels; Monitoring; Pollutants; Ships; Sulfur
- Subject Areas: Energy; Environment; Marine Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01875359
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 13 2023 10:23AM