Bayesian networks in environmental risk assessment: A review
L Kaikkonen, T Parviainen… - Integrated …, 2021 - Wiley Online Library
Human activities both depend upon and have consequences on the environment.
Environmental risk assessment (ERA) is a process of estimating the probability and …
Environmental risk assessment (ERA) is a process of estimating the probability and …
[HTML][HTML] How to value biodiversity in environmental management?
Biodiversity is globally recognised as a cornerstone of healthy ecosystems, and biodiversity
conservation is increasingly becoming one of the important aims of environmental …
conservation is increasingly becoming one of the important aims of environmental …
A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships
J Zhang, M **, C Wan, Z Dong, X Wu - Reliability Engineering & System …, 2024 - Elsevier
Safety is an important premise and foundation for the operation of intelligent ships. This
paper introduces a novel scenario analysis framework that employs disaster system theory …
paper introduces a novel scenario analysis framework that employs disaster system theory …
[HTML][HTML] A framework for risk analysis of maritime transportation systems: A case study for oil spill from tankers in a ship–ship collision
This paper proposes a framework for risk analysis of maritime transportation systems, where
risk analysis is understood as a tool for argumentative decision support. Uncertainty is given …
risk analysis is understood as a tool for argumentative decision support. Uncertainty is given …
[HTML][HTML] Implementing Bayesian networks for ISO 31000: 2018-based maritime oil spill risk management: State-of-art, implementation benefits and challenges, and …
The risk of a large-scale oil spill remains significant in marine environments as international
maritime transport continues to grow. The environmental as well as the socio-economic …
maritime transport continues to grow. The environmental as well as the socio-economic …
Intelligent computational techniques in marine oil spill management: A critical review
Effective marine oil spill management (MOSM) is crucial to minimize the catastrophic
impacts of oil spills. MOSM is a complex system affected by various factors, such as …
impacts of oil spills. MOSM is a complex system affected by various factors, such as …
Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives
Marine oil spills pose a significant threat to ocean and coastal ecosystems. In addition to
costs incurred by response activities, an economic burden could be experienced by …
costs incurred by response activities, an economic burden could be experienced by …
Bayesian network modeling of Port State Control inspection findings and ship accident involvement
Abstract The paper utilizes Port State Control inspection data for discovering interactions
between the numbers of various types of deficiencies found on ships and between the …
between the numbers of various types of deficiencies found on ships and between the …
Review of risk-based design for ice-class ships
The growing interest for Arctic and Antarctic ship** activities due to the decreasing ice
cover will also increase the risks of accidents on these waters. The design of ships for ice …
cover will also increase the risks of accidents on these waters. The design of ships for ice …
Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations
This article proposes a methodology for the application of Bayesian networks in conducting
quantitative risk assessment of operations in offshore oil and gas industry. The method …
quantitative risk assessment of operations in offshore oil and gas industry. The method …