A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)
Document Type
Article
Publication Date
5-15-2016
Abstract
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.
Identifier
84960984178 (Scopus)
Publication Title
Marine Pollution Bulletin
External Full Text Location
https://doi.org/10.1016/j.marpolbul.2016.02.057
ISSN
0025326X
PubMed ID
26992749
First Page
245
Last Page
259
Issue
1-2
Volume
106
Grant
F5211-130060
Fund Ref
Gulf of Mexico Research Initiative
Recommended Citation
Zhao, Lin; Boufadel, Michel C.; Geng, Xiaolong; Lee, Kenneth; King, Thomas; Robinson, Brian; and Fitzpatrick, Faith, "A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)" (2016). Faculty Publications. 10530.
https://digitalcommons.njit.edu/fac_pubs/10530
