A biooptical model of retrieving petroleum concentration in seawater

HUANG Miaofen; SONG Qingjun; XING Xufeng; ZHAO Zulong

doi:10.1007/s13131-014-0478-6

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Article Navigation > Acta Oceanologica Sinica > 2014 > 33(5): 81-85

HUANG Miaofen, SONG Qingjun, XING Xufeng, ZHAO Zulong. A biooptical model of retrieving petroleum concentration in seawater[J]. Acta Oceanologica Sinica, 2014, 33(5): 81-85. doi: 10.1007/s13131-014-0478-6

Citation:

HUANG Miaofen, SONG Qingjun, XING Xufeng, ZHAO Zulong. A biooptical model of retrieving petroleum concentration in seawater[J]. Acta Oceanologica Sinica, 2014, 33(5): 81-85. doi: 10.1007/s13131-014-0478-6

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A biooptical model of retrieving petroleum concentration in seawater

doi: 10.1007/s13131-014-0478-6

1.
Dalian Ocean University, Dalian 116023, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

Received Date: 2013-06-07
Rev Recd Date: 2013-12-16

Abstract

Abstract

A biooptical modeling, which is based on a radiation transfer model, can be employed to simultaneously retrieve the concentration of various colour factors by multi-spectral remote sensing data, after connecting inherent optical properties (absorption coefficient and backward scattering coefficient) of colour factor with apparent optical properties (remote sensing reflectivity). At present, this method has been used in a relatively wide range of applications in the inversion of a conventional water colour factor concentration in the case II water body: applications such as chlorophyll, suspended sediment, yellow substance. On the basis of extensive field testing data of water quality, correspondingly apparent optical properties, and the full use of the existing parametric model of colour factor inherent optical properties (with the parametrization of petroleum substance inherent optical properties established in the project) the remote recognition model for oil concentration is established by introducing oil as a new water colour factor into a biooptical remote algorithm. The estimated value of the oil concentration was obtained by solving the biooptical model, using the data measured in May 2008 and August 2009 and June 2010 in seawater. The highly accurate inversion result promises to estimate the oil concentration in water for remote sensing.
- biooptical model

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References(22)

References

Bricaud A, Babin M, Morel A, et al. 1995. Variability in the chlorophyllspecific absorption coefficients of natural phytoplankton: analysis and parameterization. J Geophy Res, 100: 13321-13332

Bricaud A, Morel A , Prieur L. 1981. Absoptin by dissolved organic matter of the sea (yellow substance) in the UV and visible domains. Linmal Oceanogr, 26(1): 43-53

Bowers D G, Evans D , Thomas D N. 2004. Interpreting the colour of an estuary . Estuarine. Coastal and Shelf Science, 59: 13-20

Carder K L, Chen F R, Lee Z P, et al. 1999. Semianalytic moderate-resolution imaging spectrometer algorithms for chlorophyll-a and absorption with biooptical domains based on nitrate-depletion temperatures. Journal of Geophysical Research, 104(C3): 5403- 5421

Fischer J, Fell F. 1999. Simulation of MERIS measurements above selected ocean waters. Int J Remote Sensing, 20(9): 1787-1807

Gordon H R, Brown O B, Evans R H, et al. 1988. A semianalytic radiance model of ocean color. Journal of Geophysical Research, 93(9): 10909-10924

Huang Miaofen, Song Qingjun, Tang Junwu, et al. 2009. Analysis of backscattering properties of petroleum polluted water. Acta Oceanologica Sinica (in Chinese), 31(3): 12-20

Huang Miaofen, Tang Junwu, Song Qingjun. 2010. Analysis of petroleum- polluted water absorption spectral properties. Journal of Remote Sensing (in Chinese), 14(1): 140-156

Król T, Stelmaszewski A, Freda W. 2006 Variability in the optical properties of a crude oil-seawater emulsion. Oceanologia, 48(S): 203-211

Lee Z P, Carder K L, Hawes S H, et al. 1994. A model or interpretation of hyperspectral remote-sensing reflectance. Applied Optics, 33: 5721-5732

Lee Z P, Carder K L, Robert A. 2002. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. Applied Optics, 41(27): 5755-5772

Mobley C D. 1994. Light and Water: Radiative Transfer in Nature Water. San Diego: Academic Press, 592

Morel A, Gentili B. 1991. Diffuse reflectance of oceanic waters: its dependence on sun angle as influenced by the molecular scattering contribution. Applied Optics, 30: 4427-4438

Oishi T, Takahashi Y, Tanaka A, et al. 2002. Relation between the backward as well as total scattering coefficients and the volume scattering functions by cultured phytoplankton. J School Mar Sci Technol-Tokai Univ, 53: 1-15

Otremba Z, Król T. 2002. Modeling of the crude oil suspension impact on inherent optical parameters of coastal Seawater polish. Journal of Environmental Studies, 11(4): 407-411

Roesler C S, Perry M J, Carder K L. 1989. Modeling in situ phytoplankton absorption from total absorption spectra in productive inland marine waters. Limnol Oceanogr, 34: 1510-1523

Sathyendranath S, Prieur L, Morel A. 1989. Three-component model of ocean colour and its application to remote sensing of phytoplankton pigments in coastal waters. Int J Remote Sensing, 10: 1373-1394

Song Qingjun, Huang Miaofen, Tang Junwu, et al. 2010. Influence of petroleum concentration in water on spectral backscattering coefficien. spectroscopy and spectral analysis (in Chinese), 30(9): 1932-1938

Song Qingjun, TANG Junwu. 2006. The study on the scattering properties in the Huanghai Sea and East China Sea. Acta Oceanologica Sinica (in Chinese), 28(4): 56-63

Stramski D, Piskozub J. 2003. Estimation of scattering error in spectrophotometric measurements of light absorption by aquatic particles from three-dimensional radiative transfer simulations. Applied Optics, 42(18): 3634-3646

Yang Wei, Matsushita Bunkei, Chen Jin. 2009. Deriving inherent optical properties through training samples with known concentration of water constituents and reflectance spectra. Journal of Lake Science (in Chinese), 21: 207-214

Zhang Y, van Dijk MA, Liu M, et al. 2009. The contribution of phytoplankton degradation to chromophoric dissolved organic matter (CDOM) in eutrophic shallow lakes: field and experimental evidence. Water Research, 43: 4685-4697

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