Temporal features of non-accident critical events impact from tides around the Yangtze Estuary and adjacent coastal waters

被引:0
作者
Yao, Chenyang [1 ]
Gao, Guoping [2 ]
Chen, Weijiong [2 ]
Qin, Tingrong [1 ]
Li, Zhuang [2 ]
机构
[1] Shanghai Maritime Univ, Merchant Marine Coll, Shanghai, Peoples R China
[2] Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai, Peoples R China
关键词
ais; safety; ship domain; ship collision; tides; COLLISION RISK-ASSESSMENT; SHIP COLLISION; AIS DATA; PORT; NAVIGATION; DOMAINS; MODELS;
D O I
10.1017/S0373463321000862
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Applying non-accident critical events (NACEs) as an alternative measuring method to assess ship collision risk has become popular in recent years. NACEs has shown temporal features in different waters. This study uses the quaternion ship domain method to identify NACEs around the Yangtze Estuary and adjacent coastal waters from the Automatic Identification System (AIS) data in October 2019. The results indicate that NACEs show different temporal features in estuaries and coastal waters. The relationship between tides, channel types and ships is discussed. In addition, we established a statistical method for the occurrence time of NACEs and the state of tides according to the half-tide level and the nearest time. The outcomes of this study provide a direction for exploring the relationship between NACEs and environmental conditions, which is also instructive for the study of the causes of ship accidents.
引用
收藏
页码:346 / 363
页数:18
相关论文
共 50 条
[1]   Risk assessment of oil spills along the Mediterranean coast: A sensitivity analysis of the choice of hazard quantification [J].
Al Shami, A. ;
Harik, G. ;
Alameddine, I. ;
Bruschi, D. ;
Garcia, D. Astiaso ;
El-Fadel, M. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 574 :234-245
[2]   Application of fuzzy bow-tie risk analysis to maritime transportation: The case of ship collision during the STS operation [J].
Arici, Seher Suendam ;
Akyuz, Emre ;
Arslan, Ozcan .
OCEAN ENGINEERING, 2020, 217
[3]   AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain [J].
Bakdi, Azzeddine ;
Glad, Ingrid Kristine ;
Vanem, Erik ;
Engelhardtsen, Oystein .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (01)
[4]   Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports [J].
Bye, Rolf J. ;
Aalberg, Asbjorn L. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 176 :174-186
[5]   Estimation of vessel collision frequency in the Yangtze River estuary considering dynamic ship domains [J].
Chai, Tian ;
Weng, Jinxian ;
Li, Guorong .
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2020, 25 (03) :964-977
[6]   Integration of individual encounter information into causation probability modelling of ship collision accidents [J].
Chen, Pengfei ;
Mou, Junmin ;
van Gelder, P. H. A. J. M. .
SAFETY SCIENCE, 2019, 120 :636-651
[7]   Probabilistic risk analysis for ship-ship collision: State-of-the-art [J].
Chen, Pengfei ;
Huang, Yamin ;
Mou, Junmin ;
van Gelder, P. H. A. J. M. .
SAFETY SCIENCE, 2019, 117 :108-122
[8]  
Debnath A., 2006, P 19 KKCNN S CIV ENG
[9]   A COLREG-compliant ship collision alert system for stand-on vessels [J].
Du, Lei ;
Banda, Osiris A. Valdez ;
Goerlandt, Floris ;
Huang, Yamin ;
Kujala, Pentti .
OCEAN ENGINEERING, 2020, 218
[10]   Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data [J].
Du, Lei ;
Goerlandt, Floris ;
Kujala, Pentti .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 200