A LES-based Eulerian-Lagrangian approach to predict the dynamics of bubble plumes
- Submitting institution
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University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10283
- Type
- D - Journal article
- DOI
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10.1016/j.ocemod.2015.11.005
- Title of journal
- OCEAN MODELLING
- Article number
- -
- First page
- 27
- Volume
- 97
- Issue
- -
- ISSN
- 1463-5003
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- International co-authors (Socolofsky, Lai, Texas A&M, USA). Work funded by National Science Foundation and Gulf of Mexico Research Initiative in response to Deepwater Horizon Blowout. Research demonstrated the accuracy of a novel Eulerian-Lagrangian approach to predict bubble plumes. Led to further publications and presentations at Gulf of Mexico Oil Spill and Ecosystem Science Conference in (2014, 2016, 2018) and Riverflow Conference (2016, 2018). Picked up 28 citations (Scopus) i.e. approximately 9 per year, approximately 3 times the Journal's average (IF 3.1 in 2017/18). The model developed in this work is to be used in a collaborative EPSRC project EP/R042640/1.
- Author contribution statement
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- Non-English
- No
- English abstract
- -