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Doppler spectrum simulation of nonlinear ocean covered by oil film

Wang Rui Guo Li-Xin Zhang Ce

Doppler spectrum simulation of nonlinear ocean covered by oil film

Wang Rui, Guo Li-Xin, Zhang Ce
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  • In recent years, marine oil spill has become an important disaster for marine environment. Marine oil spill quantity is an important indicator for evaluating the threat of oil spill. This paper focuses on the Doppler spectrum of one-dimensional (1D) nonlinear ocean covered by oil film. Oil film damps the capillary wave of the ocean, which leads to a smooth profile of the ocean covered by the film. The paper is devoted to the detailed analysis of the electromagnetic magnetic wave scattering from a sea that is covered with oil. More precisely, it focuses on the case of homogeneous oil slicks. This allows better detection of oil spills, as well as possibly an estimation of the amount of oil spilled, as the scattering coefficient depends on the layer thickness. The 1D Creamer nonlinear ocean is proposed based on the PM spectra. The Marangoni damping effect is considered for modeling the contaminated rough ocean surface. First, the influence of oil film on the ocean surface spectrum and geometrical structure are examined briefly in the present study. On this basis, the influence of oil film on the Doppler spectrum signature (in L-band) of the backscattered echo of the clean and contaminated rough ocean are studied in detail based on the iterative physical optics. The results of the Doppler spectrum signature including Doppler shift and spectral bandwidth of the backscattered echo from Creamer nonlinear ocean surface are different from those of the linear ocean surface especially at the big and moderate incident angles, which shows that it is necessary to adopt the Creamer nonlinear model in the paper. The simulation results show that the Doppler spectrum signatures including Doppler shift and spectral bandwidth of the echo from ocean covered by oil film are significantly affected by sea slicks. The influence of some important parameters, such as wind speed, oil-damping values and incident angles on Doppler spectrum signature is investigated and discussed in detail. Moreover, simulation results indicate that the Doppler spectrum signature is a promising technique for the remote sensing of oil films floating on sea surfaces.
      Corresponding author: Guo Li-Xin, lxguo@xidian.edu.cn
    • Funds: Project supported by the National Natural Science Foundation of Shaanxi Province, China (Grant No. 2018JQ6045), Shanghai Aerospace Science and Technology Innovation Foundation, and the National Natural Science Foundation of China (Grant Nos. 61431010, 61701428).
    [1]

    Sackett W M 1977 J. Geochem. Explor. 7 243

    [2]

    Acinas J R, Brebbia C A 1997 Computer Modeling of Seas and Coastal Regions Ⅲ (Southampton Boston: Computation Mechanics Publication) pp4-8

    [3]

    Gade M, Alpers W, Hhnerfuss H 1998 Remote Sens. Environ. 66 52

    [4]

    Ermakov S A, Sergievskaya L A, Zuikova E M 2000 Proc. IEEE IGARSS 2000 1513

    [5]

    Ermakov S A, Sergievskaya L A, Shchegolkov Y B 2002 Proc. IEEE IGARSS 2002 2986

    [6]

    Ye H X, Jin Y Q 2007 IEEE Trans. Geosci. Remote Sens. 45 1174

    [7]

    Zhang M, Liao C, Xiong X Z 2017 IEEE Trans. Antennas Propag. 16 364

    [8]

    Liu P, Jin Y Q 2004 IEEE Trans. Antennas Propag. 52 1205

    [9]

    Li J, Guo L X, Zeng H, Han X B 2009 Chin. Phys. B 18 2757

    [10]

    Yang P J, Guo L X 2016 J. Quant. Spectrosc. Radiat. Transfer 184 193

    [11]

    Nunziata F, Sobieski P, Migliaccio M 2009 IEEE Trans. Geosci. Remote Sens. 47 1949

    [12]

    Pinel N, Bourlier C, Sergievskaya I 2014 IEEE Trans. Geosci. Remote Sens. 52 2326

    [13]

    Pinel N, Déchamps N, Bourlier C 2008 IEEE Trans. Geosci. Remote Sens. 46 385

    [14]

    Ghanmi H, Khenchaf A, Comblet F 2015 J. Appl. Remote. Sens. 9 096007

    [15]

    Plant W J 1997 J. Geophys. Res. 102 21131

    [16]

    Caponi E A, Lake B, Yuen H C 1999 IEEE Trans. Antennas Propag. 47 354

    [17]

    Plant W J, Farquharson G 2012 J. Geophys. Res. 117 C08010

    [18]

    Cini R, Lombardini P P, hnerfuss H H 1983 Int. J. Remote Sens. 4 101

    [19]

    Lombardini P P, Fiscella B, Trivero P 1989 J. Atmos. Ocean. Technol. 6 882

    [20]

    Thorsos E I 1998 J. Acoust. Soc. Am. 83 78

    [21]

    Creamer D B, Henyey F, Schult R 1989 J. Fluid Mech. 205 135

    [22]

    Wang R, Guo L X 2016 IEEE Trans. Geosci. Remote Sens. Lett. 13 500

    [23]

    Wang R, Guo L X 2015 Int. J. Remote Sens. 36 845

    [24]

    Li X F, Xu X J 2011 IEEE Trans. Geosci. Remote Sens. 49 603

    [25]

    Toporkov J V, Brown G S 2000 IEEE Trans. Geosci. Remote Sens. 38 1616

    [26]

    Ye H X, Jin Y Q 2005 IEEE Trans. Antennas Propag. 53 1234

    [27]

    Gotwols B L, Chapman R D, Thompson D R 2000 Doppler Spectra and Backscatter Cross Section Voer 45°-85° Incidence, NATO/RTO Symposium 2000 p1

  • [1]

    Sackett W M 1977 J. Geochem. Explor. 7 243

    [2]

    Acinas J R, Brebbia C A 1997 Computer Modeling of Seas and Coastal Regions Ⅲ (Southampton Boston: Computation Mechanics Publication) pp4-8

    [3]

    Gade M, Alpers W, Hhnerfuss H 1998 Remote Sens. Environ. 66 52

    [4]

    Ermakov S A, Sergievskaya L A, Zuikova E M 2000 Proc. IEEE IGARSS 2000 1513

    [5]

    Ermakov S A, Sergievskaya L A, Shchegolkov Y B 2002 Proc. IEEE IGARSS 2002 2986

    [6]

    Ye H X, Jin Y Q 2007 IEEE Trans. Geosci. Remote Sens. 45 1174

    [7]

    Zhang M, Liao C, Xiong X Z 2017 IEEE Trans. Antennas Propag. 16 364

    [8]

    Liu P, Jin Y Q 2004 IEEE Trans. Antennas Propag. 52 1205

    [9]

    Li J, Guo L X, Zeng H, Han X B 2009 Chin. Phys. B 18 2757

    [10]

    Yang P J, Guo L X 2016 J. Quant. Spectrosc. Radiat. Transfer 184 193

    [11]

    Nunziata F, Sobieski P, Migliaccio M 2009 IEEE Trans. Geosci. Remote Sens. 47 1949

    [12]

    Pinel N, Bourlier C, Sergievskaya I 2014 IEEE Trans. Geosci. Remote Sens. 52 2326

    [13]

    Pinel N, Déchamps N, Bourlier C 2008 IEEE Trans. Geosci. Remote Sens. 46 385

    [14]

    Ghanmi H, Khenchaf A, Comblet F 2015 J. Appl. Remote. Sens. 9 096007

    [15]

    Plant W J 1997 J. Geophys. Res. 102 21131

    [16]

    Caponi E A, Lake B, Yuen H C 1999 IEEE Trans. Antennas Propag. 47 354

    [17]

    Plant W J, Farquharson G 2012 J. Geophys. Res. 117 C08010

    [18]

    Cini R, Lombardini P P, hnerfuss H H 1983 Int. J. Remote Sens. 4 101

    [19]

    Lombardini P P, Fiscella B, Trivero P 1989 J. Atmos. Ocean. Technol. 6 882

    [20]

    Thorsos E I 1998 J. Acoust. Soc. Am. 83 78

    [21]

    Creamer D B, Henyey F, Schult R 1989 J. Fluid Mech. 205 135

    [22]

    Wang R, Guo L X 2016 IEEE Trans. Geosci. Remote Sens. Lett. 13 500

    [23]

    Wang R, Guo L X 2015 Int. J. Remote Sens. 36 845

    [24]

    Li X F, Xu X J 2011 IEEE Trans. Geosci. Remote Sens. 49 603

    [25]

    Toporkov J V, Brown G S 2000 IEEE Trans. Geosci. Remote Sens. 38 1616

    [26]

    Ye H X, Jin Y Q 2005 IEEE Trans. Antennas Propag. 53 1234

    [27]

    Gotwols B L, Chapman R D, Thompson D R 2000 Doppler Spectra and Backscatter Cross Section Voer 45°-85° Incidence, NATO/RTO Symposium 2000 p1

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    [6] Li Yok-Sheng, Lin Dong, Zhan Jie-Min. Chebyshev generalized finite spectral method for linear and nonlinear waves. Acta Physica Sinica, 2007, 56(7): 3649-3654. doi: 10.7498/aps.56.3649
    [7] Mao Yuan, Guo Li-Xin, Din Hui-Fen, Liu Wei. A new method to predict the wind direction from HF radar Doppler spectrum. Acta Physica Sinica, 2012, 61(4): 044201. doi: 10.7498/aps.61.044201
    [8] Zhou Jie, Wang Ya-Lin, Hisakazu Kikuchi. Doppler power spectrum density and multi-antenna system performance in three-dimensional environment. Acta Physica Sinica, 2014, 63(24): 240507. doi: 10.7498/aps.63.240507
    [9] GAN ZI-ZHAO, YANG GUO-ZHEN. ON THE THIRD ORDER OPTICAL NONLINEARITY NEAR EXCITON LINES. Acta Physica Sinica, 1982, 31(4): 503-509. doi: 10.7498/aps.31.503
    [10] PANG XIAO-FENG. CALCULATION FOR QUANTUM ENERGY LEVELS OF NONLINEAR VIBRATION OF WATER MOLECULES BY SELF TRAPPING THEORY. Acta Physica Sinica, 1994, 43(12): 1987-1996. doi: 10.7498/aps.43.1987
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Publishing process
  • Received Date:  25 January 2018
  • Accepted Date:  27 September 2018
  • Published Online:  20 November 2018

Doppler spectrum simulation of nonlinear ocean covered by oil film

    Corresponding author: Guo Li-Xin, lxguo@xidian.edu.cn
  • 1. Physics and optoelectronic Engineering, Xidian University, Xi'an 710071, China
Fund Project:  Project supported by the National Natural Science Foundation of Shaanxi Province, China (Grant No. 2018JQ6045), Shanghai Aerospace Science and Technology Innovation Foundation, and the National Natural Science Foundation of China (Grant Nos. 61431010, 61701428).

Abstract: In recent years, marine oil spill has become an important disaster for marine environment. Marine oil spill quantity is an important indicator for evaluating the threat of oil spill. This paper focuses on the Doppler spectrum of one-dimensional (1D) nonlinear ocean covered by oil film. Oil film damps the capillary wave of the ocean, which leads to a smooth profile of the ocean covered by the film. The paper is devoted to the detailed analysis of the electromagnetic magnetic wave scattering from a sea that is covered with oil. More precisely, it focuses on the case of homogeneous oil slicks. This allows better detection of oil spills, as well as possibly an estimation of the amount of oil spilled, as the scattering coefficient depends on the layer thickness. The 1D Creamer nonlinear ocean is proposed based on the PM spectra. The Marangoni damping effect is considered for modeling the contaminated rough ocean surface. First, the influence of oil film on the ocean surface spectrum and geometrical structure are examined briefly in the present study. On this basis, the influence of oil film on the Doppler spectrum signature (in L-band) of the backscattered echo of the clean and contaminated rough ocean are studied in detail based on the iterative physical optics. The results of the Doppler spectrum signature including Doppler shift and spectral bandwidth of the backscattered echo from Creamer nonlinear ocean surface are different from those of the linear ocean surface especially at the big and moderate incident angles, which shows that it is necessary to adopt the Creamer nonlinear model in the paper. The simulation results show that the Doppler spectrum signatures including Doppler shift and spectral bandwidth of the echo from ocean covered by oil film are significantly affected by sea slicks. The influence of some important parameters, such as wind speed, oil-damping values and incident angles on Doppler spectrum signature is investigated and discussed in detail. Moreover, simulation results indicate that the Doppler spectrum signature is a promising technique for the remote sensing of oil films floating on sea surfaces.

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