Towards a probabilistic model for estimation of grounding accidents in fluctuating backwater zone of the Three Gorges Reservoir. (January 2021)
- Record Type:
- Journal Article
- Title:
- Towards a probabilistic model for estimation of grounding accidents in fluctuating backwater zone of the Three Gorges Reservoir. (January 2021)
- Main Title:
- Towards a probabilistic model for estimation of grounding accidents in fluctuating backwater zone of the Three Gorges Reservoir
- Authors:
- Jiang, Dan
Wu, Bing
Cheng, Zhiyou
Xue, Jie
van Gelder, P.H.A.J.M. - Abstract:
- Highlights: An analytical model incorporating bayesian network is proposed to estimate the occurrence likelihood of grounding in the fluctuating backwater zone. The proposed model comprehensively considers the distinguishing characteristics for navigation safety from a systematic perspective. A modified HFACS framework is introduced to identify the hazards and influencing factors. Results can be used for maritime stakeholders to mitigate grounding accident. Abstract: The water level fluctuations in the upper reach of dam reservoirs may result in increasing occurrence probabilities of ship grounding accidents, which is especially prominent in the Three Gorges Reservoir. Grounding accidents may not only cause congestion of the traffic but also lead to loss of properties and pollution to the maritime environment. An analytical model incorporating Bayesian Network is proposed to estimate the occurrence likelihood of a ship being grounded in the fluctuating backwater zone. The proposed model comprehensively considers the characteristics of the ship's properties, organizational factors, hydrological conditions and human factors from a systematic perspective. Historical data collected from the Chongqing Maritime Safety Administration, together with incident reports, are used to develop a quantitative model. The developed model in this paper concludes that out of twenty-six factors, the area of the fluctuating backwater zone, the month, and water level are the predominant factorsHighlights: An analytical model incorporating bayesian network is proposed to estimate the occurrence likelihood of grounding in the fluctuating backwater zone. The proposed model comprehensively considers the distinguishing characteristics for navigation safety from a systematic perspective. A modified HFACS framework is introduced to identify the hazards and influencing factors. Results can be used for maritime stakeholders to mitigate grounding accident. Abstract: The water level fluctuations in the upper reach of dam reservoirs may result in increasing occurrence probabilities of ship grounding accidents, which is especially prominent in the Three Gorges Reservoir. Grounding accidents may not only cause congestion of the traffic but also lead to loss of properties and pollution to the maritime environment. An analytical model incorporating Bayesian Network is proposed to estimate the occurrence likelihood of a ship being grounded in the fluctuating backwater zone. The proposed model comprehensively considers the characteristics of the ship's properties, organizational factors, hydrological conditions and human factors from a systematic perspective. Historical data collected from the Chongqing Maritime Safety Administration, together with incident reports, are used to develop a quantitative model. The developed model in this paper concludes that out of twenty-six factors, the area of the fluctuating backwater zone, the month, and water level are the predominant factors for the occurrence of grounding accidents in the Three Gorges Reservoir. The results can be used by maritime stakeholders to take mitigation measures for grounding accident reduction. … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 205(2021)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 205(2021)
- Issue Display:
- Volume 205, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 205
- Issue:
- 2021
- Issue Sort Value:
- 2021-0205-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Grounding accidents -- Occurrence likelihood estimation -- Bayesian network -- Fluctuating backwater zone
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2020.107239 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
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