DOI: 10.1016/j.marpolbul.2015.05.041
Scopus记录号: 2-s2.0-84931572802
论文题名: Bayesian inference-based environmental decision support systems for oil spill response strategy selection
作者: Davies A.J. ; Hope M.J.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2015
卷: 96, 期: 2018-01-02 起始页码: 87
结束页码: 102
语种: 英语
英文关键词: Bayesian inference
; Bayesian network
; Contingency planning
; Environmental decision support system
; Oil spill
; Pollution response
Scopus关键词: Artificial intelligence
; Decision support systems
; Environmental management
; Inference engines
; Marine pollution
; Oil shale
; Oil spills
; Pollution
; Pollution control
; Real time systems
; Bayesian inference
; Contingency planning
; Environmental decision support systems
; Incident analysis
; Marine oil spills
; Oil spill response
; Pollutant release
; Response strategies
; Bayesian networks
; Bayesian analysis
; decision support system
; marine pollution
; oil spill response
; pollution control
; Article
; Bayes theorem
; ecosystem restoration
; environmental impact assessment
; environmental management
; environmental monitoring
; environmental planning
; environmental protection
; oil spill
; sea pollution
; analysis
; Bayes theorem
; decision support system
; ecosystem
; oil spill
; prevention and control
; procedures
; Bayes Theorem
; Conservation of Natural Resources
; Decision Support Techniques
; Ecosystem
; Environmental Policy
; Petroleum Pollution
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: Contingency plans are essential in guiding the response to marine oil spills. However, they are written before the pollution event occurs so must contain some degree of assumption and prediction and hence may be unsuitable for a real incident when it occurs. The use of Bayesian networks in ecology, environmental management, oil spill contingency planning and post-incident analysis is reviewed and analysed to establish their suitability for use as real-time environmental decision support systems during an oil spill response. It is demonstrated that Bayesian networks are appropriate for facilitating the re-assessment and re-validation of contingency plans following pollutant release, thus helping ensure that the optimum response strategy is adopted. This can minimise the possibility of sub-optimal response strategies causing additional environmental and socioeconomic damage beyond the original pollution event. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86481
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: 40 Raemoir Road, Banchory, Kincardineshire, United Kingdom; University of Ulster, School of Environmental Sciences, Coleraine Campus, Cromore Road, Coleraine, Co. Londonderry, United Kingdom
Recommended Citation:
Davies A.J.,Hope M.J.. Bayesian inference-based environmental decision support systems for oil spill response strategy selection[J]. Marine Pollution Bulletin,2015-01-01,96(2018-01-02)