A New Model for Complex Permittivity of Oil-Seawater Emulsions: A Framework for Quantitative Sar Monitoring of Marine Oil Spills

26 Pages Posted: 16 May 2025

See all articles by Yuhang Cheng

Yuhang Cheng

affiliation not provided to SSRN

Yonggang Du

affiliation not provided to SSRN

Jinyu Liu

affiliation not provided to SSRN

Liheng Li

affiliation not provided to SSRN

Diansheng Wang

affiliation not provided to SSRN

Abstract

A complex permittivity model for oil-seawater emulsions is crucial for analyzing marine oil spills in microwave remote sensing, especially in SAR (Synthetic Aperture Radar). However, the dielectric behavior of oil-seawater emulsions is highly complex, and most existing models remain empirical, with limited theoretical foundations. We derive a new theoretical model for the complex permittivity of oil-seawater emulsions based on Maxwell’s equations and charge conservation under a small-perturbation approximation, and apply it to analyze the emulsion’s dielectric properties. The complex permittivity was measured experimentally on oil-seawater emulsions (0–100% oil volume fractions) at 0.3–1.5GHz. Our model was validated against experimental data and compared with three empirical models: Maxwell–Garnett, series–parallel, and exponential models. The proposed complex permittivity model demonstrates improved predictive accuracy across a wide range of oil concentrations and theoretical validity extending to 30GHz, thus providing a more reliable basis for quantitative SAR monitoring of marine oil spills.

Keywords: Complex Permittivity, Theoretical model, Oil-seawater Emulsions, SAR Imagery

Suggested Citation

Cheng, Yuhang and Du, Yonggang and Liu, Jinyu and Li, Liheng and Wang, Diansheng, A New Model for Complex Permittivity of Oil-Seawater Emulsions: A Framework for Quantitative Sar Monitoring of Marine Oil Spills. Available at SSRN: https://ssrn.com/abstract=5257445 or http://dx.doi.org/10.2139/ssrn.5257445

Yuhang Cheng

affiliation not provided to SSRN ( email )

Yonggang Du

affiliation not provided to SSRN ( email )

Jinyu Liu

affiliation not provided to SSRN ( email )

Liheng Li

affiliation not provided to SSRN ( email )

Diansheng Wang (Contact Author)

affiliation not provided to SSRN ( email )

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