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A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)

November 3, 2016

Oil–particle interactions play a major role in removal of free oil from the water column. We present a new conceptual–numerical model, A-DROP, to predict oil amount trapped in oil–particle aggregates. A new conceptual formulation of oil–particle coagulation efficiency is introduced to account for the effects of oil stabilization by particles, particle hydrophobicity, and oil–particle size ratio on OPA formation. A-DROP was able to closely reproduce the oil trapping efficiency reported in experimental studies. The model was then used to simulate the OPA formation in a typical nearshore environment. Modeling results indicate that the increase of particle concentration in the swash zone would speed up the oil–particle interaction process; but the oil amount trapped in OPAs did not correspond to the increase of particle concentration. The developed A-DROP model could become an important tool in understanding the natural removal of oil and developing oil spill countermeasures by means of oil–particle aggregation.

Publication Year 2016
Title A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)
DOI 10.1016/j.marpolbul.2016.02.057
Authors Lin Zhao, Michel C. Boufadel, Xiaolong Geng, Kenneth Lee, Thomas King, Brian H. Robinson, Faith A. Fitzpatrick
Publication Type Article
Publication Subtype Journal Article
Series Title Marine Pollution Bulletin
Index ID 70178094
Record Source USGS Publications Warehouse
USGS Organization Wisconsin Water Science Center