Application of entropy analysis of in situ droplet-size spectra in evaluation of oil chemical dispersion efficacy

Zhengkai Li; Kenneth Lee; Thomas King; Haibo Niu; Michel C. Boufadel; Albert D. Venosa

doi:10.1016/j.marpolbul.2011.07.012

Application of entropy analysis of in situ droplet-size spectra in evaluation of oil chemical dispersion efficacy

Zhengkai Li, Kenneth Lee, Thomas King, Haibo Niu, Michel C. Boufadel, Albert D. Venosa

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

In situ droplet-size distributions were measured using a laser in situ scattering and transmissiometry (LISST-100X) particle size analyzer during the evaluation of natural and chemical dispersion efficiency of crude oils under different wave and current conditions. An entropy grouping of the in situ dispersed oil droplet-size spectra has classified the multi-modal droplet-size distributions into different groups based on similar droplet-size spectra characteristics within groups and distinction between groups. A generalized linear logistic regression model was fitted to analyze the effects of a number of factors and their interactions on the grouping of oil droplet-size spectra. The grouped results corresponded to the oil dispersion efficiency at different levels. This new method for droplet-size distribution data analysis can have significant implication in field evaluation of natural and chemical dispersion efficiency of oil.

Original language	English (US)
Pages (from-to)	2129-2136
Number of pages	8
Journal	Marine Pollution Bulletin
Volume	62
Issue number	10
DOIs	https://doi.org/10.1016/j.marpolbul.2011.07.012
State	Published - Oct 2011
Externally published	Yes

All Science Journal Classification (ASJC) codes

Oceanography
Aquatic Science
Pollution

Keywords

Dispersant efficacy
Entropy analysis
Oil droplet-size spectra
Oil spill

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10.1016/j.marpolbul.2011.07.012

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title = "Application of entropy analysis of in situ droplet-size spectra in evaluation of oil chemical dispersion efficacy",

abstract = "In situ droplet-size distributions were measured using a laser in situ scattering and transmissiometry (LISST-100X) particle size analyzer during the evaluation of natural and chemical dispersion efficiency of crude oils under different wave and current conditions. An entropy grouping of the in situ dispersed oil droplet-size spectra has classified the multi-modal droplet-size distributions into different groups based on similar droplet-size spectra characteristics within groups and distinction between groups. A generalized linear logistic regression model was fitted to analyze the effects of a number of factors and their interactions on the grouping of oil droplet-size spectra. The grouped results corresponded to the oil dispersion efficiency at different levels. This new method for droplet-size distribution data analysis can have significant implication in field evaluation of natural and chemical dispersion efficiency of oil.",

keywords = "Dispersant efficacy, Entropy analysis, Oil droplet-size spectra, Oil spill",

author = "Zhengkai Li and Kenneth Lee and Thomas King and Haibo Niu and Boufadel, {Michel C.} and Venosa, {Albert D.}",

note = "Funding Information: This research was funded by the Program of Energy Research and Development (PERD) and NOAA/UNH Coastal Response Research Center . The authors wish to thank John Newguard (Dalhousie University, Halifax, NS, Canada) for assistance in using MATLAB for entropy analysis. The findings and opinions expressed in this report are those of the authors and do not necessarily reflect those of the funding agencies.",

year = "2011",

month = oct,

doi = "10.1016/j.marpolbul.2011.07.012",

language = "English (US)",

volume = "62",

pages = "2129--2136",

journal = "Marine Pollution Bulletin",

issn = "0025-326X",

publisher = "Elsevier Inc.",

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T1 - Application of entropy analysis of in situ droplet-size spectra in evaluation of oil chemical dispersion efficacy

AU - Li, Zhengkai

AU - Lee, Kenneth

AU - King, Thomas

AU - Niu, Haibo

AU - Boufadel, Michel C.

AU - Venosa, Albert D.

N1 - Funding Information: This research was funded by the Program of Energy Research and Development (PERD) and NOAA/UNH Coastal Response Research Center . The authors wish to thank John Newguard (Dalhousie University, Halifax, NS, Canada) for assistance in using MATLAB for entropy analysis. The findings and opinions expressed in this report are those of the authors and do not necessarily reflect those of the funding agencies.

PY - 2011/10

Y1 - 2011/10

N2 - In situ droplet-size distributions were measured using a laser in situ scattering and transmissiometry (LISST-100X) particle size analyzer during the evaluation of natural and chemical dispersion efficiency of crude oils under different wave and current conditions. An entropy grouping of the in situ dispersed oil droplet-size spectra has classified the multi-modal droplet-size distributions into different groups based on similar droplet-size spectra characteristics within groups and distinction between groups. A generalized linear logistic regression model was fitted to analyze the effects of a number of factors and their interactions on the grouping of oil droplet-size spectra. The grouped results corresponded to the oil dispersion efficiency at different levels. This new method for droplet-size distribution data analysis can have significant implication in field evaluation of natural and chemical dispersion efficiency of oil.

AB - In situ droplet-size distributions were measured using a laser in situ scattering and transmissiometry (LISST-100X) particle size analyzer during the evaluation of natural and chemical dispersion efficiency of crude oils under different wave and current conditions. An entropy grouping of the in situ dispersed oil droplet-size spectra has classified the multi-modal droplet-size distributions into different groups based on similar droplet-size spectra characteristics within groups and distinction between groups. A generalized linear logistic regression model was fitted to analyze the effects of a number of factors and their interactions on the grouping of oil droplet-size spectra. The grouped results corresponded to the oil dispersion efficiency at different levels. This new method for droplet-size distribution data analysis can have significant implication in field evaluation of natural and chemical dispersion efficiency of oil.

KW - Dispersant efficacy

KW - Entropy analysis

KW - Oil droplet-size spectra

KW - Oil spill

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JO - Marine Pollution Bulletin

JF - Marine Pollution Bulletin

IS - 10

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Application of entropy analysis of in situ droplet-size spectra in evaluation of oil chemical dispersion efficacy

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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