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 …

Probabilistic risk analysis for ship-ship collision: State-of-the-art

P Chen, Y Huang, J Mou, P Van Gelder - Safety science, 2019 - Elsevier
Maritime transportation system has made a significant contribution to the development of the
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …

[HTML][HTML] Implementing Bayesian networks for ISO 31000: 2018-based maritime oil spill risk management: State-of-art, implementation benefits and challenges, and …

T Parviainen, F Goerlandt, I Helle, P Haapasaari… - Journal of …, 2021 - Elsevier
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 transportation risk assessment of Tianjin Port with Bayesian belief networks

J Zhang, ÂP Teixeira, C Guedes Soares, X Yan… - Risk …, 2016 - Wiley Online Library
This article develops a Bayesian belief network model for the prediction of accident
consequences in the Tianjin port. The study starts with a statistical analysis of historical …

Intelligent computational techniques in marine oil spill management: A critical review

S Mohammadiun, G Hu, AA Gharahbagh, J Li… - Journal of Hazardous …, 2021 - Elsevier
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 …

A probabilistic framework for risk management and emergency decision-making of marine oil spill accidents

X Li, Y Zhu, R Abbassi, G Chen - Process Safety and Environmental …, 2022 - Elsevier
Offshore oil spills may pose a severe threat to marine ecological environment. In this paper,
a new methodology based on Bayesian network (BN) and Influence Diagram (ID) is …

How to optimize the 2D/3D urban thermal environment: Insights derived from UAV LiDAR/multispectral data and multi-source remote sensing data

R Lyu, J Pang, X Tian, W Zhao, J Zhang - Sustainable Cities and Society, 2023 - Elsevier
The systematical exploration of how two-dimensional (2D) and three-dimensional (3D)
features of urban landscapes influence land surface temperature (LST) is still limited …

Reviewing Bayesian Networks potentials for climate change impacts assessment and management: A multi-risk perspective

A Sperotto, JL Molina, S Torresan, A Critto… - Journal of environmental …, 2017 - Elsevier
The evaluation and management of climate change impacts on natural and human systems
required the adoption of a multi-risk perspective in which the effect of multiple stressors …

Selection of oil spill response method in Arctic offshore waters: A fuzzy decision tree based framework

G Hu, S Mohammadiun, AA Gharahbagh, J Li… - Marine Pollution …, 2020 - Elsevier
A fuzzy decision tree (FDT) based framework was developed to facilitate the selection of
suitable oil spill response methods in the Arctic. Hypothetical oil spill cases were developed …

Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks

J Liu, R Liu, Z Yang, S Kuikka - Environmental Pollution, 2021 - Elsevier
The accidental leakage of industrial wastewater containing heavy metals from enterprises
poses great risks to resident health, social instability, and ecological safety. During 2005 …