The damping model for sea waves covered by oil films of a finite thickness
-
摘要: 本文结合海浪谱的作用量平衡方程,给出了一定厚度油膜对海浪的抑制模型,该模型不仅与油膜的物理参数有关,而且与环境参数有关。文中开展了抑制比对这些参数的敏感性分析,数值模拟结果表明:动力学粘性,表面/界面弹性、油膜厚度、油膜覆盖率等参数对抑制比的影响较大,但油膜的其他物理学参数如:密度、表面/界面张力,表面/界面粘度几乎对抑制比不产生影响;而且,文中还发现风速和风向对抑制比的影响较大。一般情况下,油膜对雷达回波信号的抑制,只需考虑油膜对海浪的抑制作用;但对厚乳化溢油而言,还应考虑到介电常数的减小对雷达回波信号的抑制。将本文建立的抑制比模型所得结果与墨西哥湾溢油事故期间的15景ENVISAR ASAR影像所得抑制比结果进行了比较。
-
关键词:
- 海浪、一定厚度的油膜 /
- 抑制比
Abstract: In combination with a wave action balance equation, a damping model for sea waves covered by oil films of a finite thickness is proposed. The damping model is not only related to the physical parameters of the oil film, but also related to environment parameters. Meanwhile, the parametric analyses have been also conducted to understand the sensitivity of the damping model to these parameters. And numerical simulations demonstrate that a kinematic viscosity, a surface/interfacial elasticity, a thickness, and a fractional filling factor cause more significant effects on a damping ratio than the other physical parameters of the oil film. From the simulation it is also found that the influences induced by a wind speed and a wind direction are also remarkable. On the other hand, for a thick emulsified oil film, the damping effect on the radar signal induced by the reduction of an effective dielectric constant should also be taken into account. The simulated results are compared with the damping ratio evaluated by the 15 ENVISAT ASAR images acquired during the Gulf of Mexico oil spill accident.-
Key words:
- sea surface wave /
- oil film of finite thickness
-
Alpers W, Hühnerfuss H. 1989. The damping of ocean waves by surface films: a new look at an old problem. J Geophys Res, 94(C5): 6251-6265 Brekke C, Solberg A H S. 2005. Oil spill detection by satellite remote sensing. Remote Sens Environ, 95(1): 1-13 Elfouhaily T, Chapron B, Katsaros K, et al. 1997. A unified directional spectrum for long and short wind-driven waves. J Geophys Res, 102(C7): 15781-15796 Franceschetti G, Iodice A, Daniele R, et al. 2002. SAR raw signal simulation of oil slicks in ocean environments. IEEE Transactions on Geoscience Remote Sensing, 40(9): 1935-1949 Gade M, Alpers W, Hühnerfuss H, et al. 1998. On the reduction of the radar backscatter by oceanic surface films: scatterometer measurements and their theoretical interpretation. Remote Sens Environ, 66(1): 52-70 Hühnerfuss H, Alpers W, Garrett W D, et al. 1983. Attenuation of capillary and gravity waves at sea by monomolecular organic surface films. J Geophys Res, 88(C14): 9809-9816 Jenkins A D, Jacobs S J. 1997. Wave damping by a thin layer of viscous fluid. Phys Fluids, 9(5): 1256-1264 Keramitsoglou I, Cartalis C, Kiranoudis C T. 2006. Automatic identification of oil spills on satellite images. Environmental Modelling & Software, 21(5): 640-652 Kim D J, Moon W M, Kim Y S. 2010. Application of TerraSAR-X data for emergent oil-spill monitoring. IEEE Trans Geosci Remote Sensing, 48(2): 852-863 Labson V F, Clark R N, Swayze G A, et al. 2010. Estimated minimum discharge rates of the Deepwater Horizon spill—interim report to the flow rate technical group from the Mass Balance Team. In: Salazar K, Mcnutt M M, eds. Science for a Changing World. Reston Virginia: US Geological Survey, 1-4 Leifer I, Lehr W J, Simecek-Beatty D, et al. 2012. State of the art satellite and airborne marine oil spill remote sensing: Application to the BP deepwater horizon oil spill. Remote Sensing of Environment, 124: 185-209 Liu Peng, Li Xiaofeng, Qu J J, et al. 2011. Oil spill detection with fully polarimetric UAVSAR data. Marine Pollution Bulletin, 62(12): 2611-2618 Lombardini P P, Fiscella B, Trivero P, et al. 1989. Modulation of the spectra of short gravity waves by sea surface films: slick detection and characterization with a microwave probe. J Atmos Ocean Technol, 6(6): 882-890 Mallinger W D, Mickelson T P. 1973. Experiments with monomolecular films on the surface of the open sea. J Phys Oceanogr, 3(3): 328-336 Migliaccio M, Tranfaglia M, Ermakov S A. 2005. A physical approach for the observation of oil spills in SAR images. IEEE J Ocea Eng, 30(3): 496-507 Minchew B. 2012. Determining the mixing of oil and sea water using polarimetric synthetic aperture radar. Geophys Res Lett, 39(16): L16607 Minchew B, Jones C E, Holt B. 2012. Polarimetric analysis of backscatter from the deepwater horizon oil spill using L-band synthetic aperture radar. IEEE Trans Geosci Remote Sensing, 50(10): 3812-3830 Pinel N, Déchamps N, Bourlier C. 2008. Modeling of the bistatic electromagnetic scattering from sea surfaces covered in oil for microwave applications. IEEE Trans Geosci Remote Sensing, 46(2): 385-392 Ulaby F T, Moore R K, Fung A K. 1982. Microwave Remote Sensing. Reading, MA, USA: Addision-Wesbey, 922-991 Wang Qingyu, Feder A, Mazur E. 1994. Capillary wave damping in heterogeneous monolayers. J Phys Chem, 98(48): 12720-12726 Wu Jin. 1980. Wind-stress coefficients over sea surface near neutral conditions—A revisit. J Phys Oceanogr, 10(5): 727-740
点击查看大图
计量
- 文章访问数: 1294
- HTML全文浏览量: 86
- PDF下载量: 639
- 被引次数: 0