Increased Use of Bayesian Network Models Has Improved Environmental Risk Assessments-Reference-Cited by-同舟云学术

Increased Use of Bayesian Network Models Has Improved Environmental Risk Assessments

Published:2020-12-11 Issue:1 Volume:17 Page:53-61
ISSN:1551-3777
Container-title:Integrated Environmental Assessment and Management
language:en
Short-container-title:Integr Environ Assess Manag

Author:

Moe S Jannicke¹^ORCID,Carriger John F²^ORCID,Glendell Miriam³^ORCID

Affiliation:

1. Norwegian Institute for Water Research (NIVA) Oslo Norway

2. United States Environmental Protection Agency, Office of Research and Development, Center for Environmental Solutions and Emergency Response, Land Remediation and Technology Division Environmental Decision Analytics Branch Cincinnati Ohio

3. James Hutton Institute, Craigiebuckler Aberdeen United Kingdom

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.4369

Reference49 articles.

1. A Bayesian Approach to Landscape Ecological Risk Assessment Applied to the Upper Grande Ronde Watershed, Oregon

2. Bayesian networks in environmental and resource management

3. Bayesian belief networks as a meta-modelling tool in integrated river basin management — Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin

4. A Bayesian network model for integrative river rehabilitation planning and management

5. CainsMG HenshelD.2021. Parameterization framework and quantification approach for integrated risk and resilience assessments.Integr Environ Assess Manag17(1):131–146.https://doi.org/10.1002/ieam.4331

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating PCB degradation by indigenous fungal strains isolated from the transformer oil–contaminated site: degradation kinetics, Bayesian network, artificial neural networks, QSAR with DFT, molecular docking, and molecular dynamics simulation;Environmental Science and Pollution Research;2024-09-06

2. Comprehensive analysis of ship sinking accidents using Bayesian network;Australian Journal of Maritime & Ocean Affairs;2024-08-08

3. Ecological and biogeomorphological modelling of brown trout (Salmo trutta L.): Hints for improvements;River Research and Applications;2024-07-30

4. Bayesian network modelling of phosphorus pollution in agricultural catchments with high-resolution data;Environmental Modelling & Software;2024-07

5. Investigating PCB degradation by Indigenous Fungal Strains Isolated from the Transformer Oil-Contaminated Site: Degradation Kinetics, Bayesian Network, Artificial Neural Networks, QSAR with DFT, Molecular Docking, and Molecular Dynamics Simulation;2024-06-21