Research on Classification of Traffic Organization of Ships Carrying Dangerous
Authors
Yijun Zhang1, Guobo Wang2, *, Qiyu Liu3
1Yangtze Shipping Development Research Center, Hubei, 430014, China
2China Waterborne Research Institute, Beijing, 100088, China
3Three Gorges Navigation Authority, Hubei, 443002, China
*Corresponding author.
Email: wangguobo@wti.ac.cn
Corresponding Author
Guobo Wang
Available Online 9 October 2023.
- DOI
- 10.2991/978-94-6463-256-9_98How to use a DOI?
- Keywords
- Three Gorges; Lock; Classification; Traffic organization
- Abstract
In order to meet the national intrinsically safe management requirements, on the basis of international convention rules and national technical standards, take the Three Gorges locks as an example, consider the special safety management requirements of the locks for fire prevention, explosion and corrosion prevention, and refer to the fire hazard classification standards in the fire prevention specifications of architectural design, and adopt a targeted policy matrix analysis method to optimize the classification of dangerous cargo ships through the locks, and propose technical measures for traffic organization accordingly.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yijun Zhang AU - Guobo Wang AU - Qiyu Liu PY - 2023 DA - 2023/10/09 TI - Research on Classification of Traffic Organization of Ships Carrying Dangerous BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1003 EP - 1011 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_98 DO - 10.2991/978-94-6463-256-9_98 ID - Zhang2023 ER -