Modeling characteristic size distribution parameters of oil droplets generated by breaking waves

Natural dispersion of oil is investigated experimentally in a wave flume. Three different nominal oil thicknesses, and three wave heights, are used, with each experiment repeated several times. Droplets are recorded at high frequency, using the SilCam, a telecentric camera system designed to measure oil droplet size distributions, and to discriminate between droplets and bubbles. Size distributions are recorded at two different sampling locations, over a time of about 80 s following the wave breaking. The results indicate that the volume-based median droplet size, d<sub>50</sub><sup>v</sup>, has a clear dependence on oil slick thickness. We discuss implications for oil spill modeling, compare to existing droplet size models, and apply a new non-dimensional empirical function to model the early (transient) size distribution following a breaking wave, for use in operational oil spill modeling.

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Publication Details

Journal
Marine Pollution Bulletin
Published
2026-02-14
DOI
https://doi.org/10.1016/j.marpolbul.2026.119420
Primary Topic
Oil Spill Detection and Mitigation
Type
article
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article

Modeling characteristic size distribution parameters of oil droplets generated by breaking waves

Emlyn J. Davies, Tor Nordam, Arsalan Mostaani, Thor-Arne Pettersen et al.
Marine Pollution Bulletin
Oil Spill Detection and Mitigation
article

Modeling characteristic size distribution parameters of oil droplets generated by breaking waves

Emlyn J. Davies, Tor Nordam, Arsalan Mostaani, Thor-Arne Pettersen, Jørgen Skancke, Anusha L. Dissanayake, Raymond Nepstad, Frode Leirvik, Øyvind Breivik
article en

Abstract

Natural dispersion of oil is investigated experimentally in a wave flume. Three different nominal oil thicknesses, and three wave heights, are used, with each experiment repeated several times. Droplets are recorded at high frequency, using the SilCam, a telecentric camera system designed to measure oil droplet size distributions, and to discriminate between droplets and bubbles. Size distributions are recorded at two different sampling locations, over a time of about 80 s following the wave breaking. The results indicate that the volume-based median droplet size, d<sub>50</sub><sup>v</sup>, has a clear dependence on oil slick thickness. We discuss implications for oil spill modeling, compare to existing droplet size models, and apply a new non-dimensional empirical function to model the early (transient) size distribution following a breaking wave, for use in operational oil spill modeling.

Marine Pollution BulletinVol. 226
Norwegian Meteorological Institute (NO), SINTEF (NO), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), NTNU Samfunnsforskning (NO), University of Bergen (NO)
Reduced inequalities
Openalex Percentile: Top 55%
Oil Spill Detection and Mitigation
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Modeling characteristic size distribution parameters of oil droplets generated by breaking waves — Emlyn J. Davies, Tor Nordam, et al. · Marine Pollution Bulletin (2026) | TGRS Research Map | TGRS