Literature DB >> 21875054

Minimizing risks from spilled oil to ecosystem services using influence diagrams: the Deepwater Horizon spill response.

John F Carriger1, Mace G Barron.   

Abstract

Decision science tools can be used in evaluating response options and making inferences on risks to ecosystem services (ES) from ecological disasters. Influence diagrams (IDs) are probabilistic networks that explicitly represent the decisions related to a problem and their influence on desired or undesired outcomes. To examine how IDs might be useful in probabilistic risk management for spill response efforts, an ID was constructed to display the potential interactions between exposure events and the trade-offs between costs and ES impacts from spilled oil and response decisions in the DWH spill event. Quantitative knowledge was not formally incorporated but an ID platform for doing this was examined. Probabilities were assigned for conditional relationships in the ID and scenarios examining the impact of different response actions on components of spilled oil were investigated in hypothetical scenarios. Given the structure of the ID, potential knowledge gaps included understanding of the movement of oil, the ecological risk of different spill-related stressors to key receptors (e.g., endangered species, fisheries), and the need for stakeholder valuation of the ES benefits that could be impacted by a spill. Framing the Deepwater Horizon problem domain in an ID conceptualized important variables and relationships that could be optimally accounted for in preparing and managing responses in future spills. These features of the developed IDs may assist in better investigating the uncertainty, costs, and the trade-offs if large-scale, deep ocean spills were to occur again.

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Year:  2011        PMID: 21875054     DOI: 10.1021/es201037u

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  Evaluation of toxicity of Deepwater Horizon slick oil on spat of the oyster Crassostrea virginica.

Authors:  Julien Vignier; Anne Rolton; Philippe Soudant; Fu-Lin E Chu; René Robert; Aswani K Volety
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-28       Impact factor: 4.223

2.  Characterizing light attenuation within Northwest Florida Estuaries: Implications for RESTORE Act water quality monitoring.

Authors:  Robyn N Conmy; Blake A Schaeffer; Joseph Schubauer-Berigan; Jessica Aukamp; Allyn Duffy; John C Lehrter; Richard M Greene
Journal:  Mar Pollut Bull       Date:  2016-11-19       Impact factor: 5.553

3.  Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications.

Authors:  John F Carriger; Brian E Dyson; William H Benson
Journal:  Integr Environ Assess Manag       Date:  2018-02-22       Impact factor: 2.992

4.  Applying Mental Model Methods to Characterize Understanding of Gene-Environment Influences: The Case of Podoconiosis in Ethiopia.

Authors:  Caitlin G Allen; Colleen M McBride; Kibur Engdawork; Desta Ayode; Getnet Tadele
Journal:  Crit Public Health       Date:  2017-12-06

5.  Photoenhanced Toxicity of Petroleum to Aquatic Invertebrates and Fish.

Authors:  Mace G Barron
Journal:  Arch Environ Contam Toxicol       Date:  2017-07-10       Impact factor: 2.804

6.  Petroleum hydrocarbon release behavior study in oil-sediment aggregates: turbulence intensity and chemical dispersion effect.

Authors:  Dong Yan; Long Meng; Haoshuai Li; Tianwen Song; Peiyan Sun; Mutai Bao; Ximing Li
Journal:  RSC Adv       Date:  2019-03-11       Impact factor: 4.036

7.  Per- and Polyfluoroalkyl Substances, Microplastics, and COVID-19: Will We Ever Learn?

Authors:  Wayne G Landis
Journal:  Integr Environ Assess Manag       Date:  2020-06       Impact factor: 2.992

  7 in total

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