The Challenges of Remotely Measuring Oil Slick Thickness

被引:83
|
作者
Fingas, Merv [1 ]
机构
[1] Spill Sci, Edmonton, AB T6W 1J6M, Canada
来源
REMOTE SENSING | 2018年 / 10卷 / 02期
关键词
slick thickness; oil spill thickness; slick thickness measurement; NEAR-INFRARED MERIS; GULF-OF-MEXICO; MICROWAVE RADIOMETRY; FILM THICKNESS; MODIS IMAGERY; WATER; SPILL; SEA; BACKSCATTER; CONTRAST;
D O I
10.3390/rs10020319
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The thickness of oil spills on the sea is an important but poorly studied topic. Means to measure slick thickness are reviewed. More than 30 concepts are summarized. Many of these are judged not to be viable for a variety of scientific reasons. Two means are currently available to remotely measure oil thickness, namely, passive microwave radiometry and time of acoustic travel. Microwave radiometry is commercially developed at this time. Visual means to ascertain oil thickness are restricted by physics to thicknesses smaller than those of rainbow sheens, which rarely occur on large spills, and thin sheen. One can observe that some slicks are not sheen and are probably thicker. These three thickness regimes are not useful to oil spill countermeasures, as most of the oil is contained in the thick portion of a slick, the thickness of which is unknown and ranges over several orders of magnitude. There is a continuing need to measure the thickness of oil spills. This need continues to increase with time, and further research effort is needed. Several viable concepts have been developed but require further work and verification. One of the difficulties is that ground truthing and verification methods are generally not available for most thickness measurement methods.
引用
收藏
页数:28
相关论文
共 50 条
  • [21] Deep Learning for Mineral and Biogenic Oil Slick Classification With Airborne Synthetic Aperture Radar Data
    De Laurentiis, Leonardo
    Jones, Cathleen E.
    Holt, Benjamin
    Schiavon, Giovanni
    Del Frate, Fabio
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (10): : 8455 - 8469
  • [22] Simulation of crude oil slick on ice infested sea water
    Abbasi, Hosseinreza
    Lubbad, Raed
    POLAR SCIENCE, 2024, 39
  • [23] Sensitivity analysis in simulating oil slick using CA model
    Zhang, Yihan
    OCEAN ENGINEERING, 2020, 218 (218)
  • [24] Effects of sediment amended with Deepwater Horizon incident slick oil on the infaunal amphipod Leptocheirus plumulosus
    Lotufo, Guilherme R.
    Farrar, J. Daniel
    Biedenbach, James M.
    Laird, Jennifer G.
    Krasnec, Michelle O.
    Lay, Claire
    Morris, Jeffrey M.
    Gielazyn, Michel L.
    MARINE POLLUTION BULLETIN, 2016, 109 (01) : 253 - 258
  • [25] Categorization of nearshore sampling data using oil slick trajectory predictions
    Montas, Larissa
    Ferguson, Alesia C.
    Mena, Kristina D.
    Solo-Gabriele, Helena M.
    MARINE POLLUTION BULLETIN, 2020, 150
  • [26] Oil spill response planning with consideration of physicochemical evolution of the oil slick: A multiobjective optimization approach
    Zhong, Zhixia
    You, Fengqi
    COMPUTERS & CHEMICAL ENGINEERING, 2011, 35 (08) : 1614 - 1630
  • [27] The DeepWater Horizon Oil Slick: Simulations of River Front Effects and Oil Droplet Size Distribution
    Hole, Lars Robert
    Dagestad, Knut-Frode
    Rohrs, Johannes
    Wettre, Cecilie
    Kourafalou, Vassiliki H.
    Androulidakis, Yannis
    Kang, Heesook
    Le Henaff, Matthieu
    Garcia-Pineda, Oscar
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2019, 7 (10)
  • [28] Quantitative characterization of marine oil slick by satellite near-infrared imagery and oil drift modelling: the Fun Shai Hai case study
    De Carolis, Giacomo
    Adamo, Maria
    Pasquariello, Guido
    De Padova, Diana
    Mossa, Michele
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (05) : 1838 - 1854
  • [29] Mathematical simulation on the oil slick spreading and dispersion in nonuniform flow fields
    Peishi, Q.
    Zhiguo, S.
    Yunzhi, L.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2011, 8 (02) : 339 - 350
  • [30] Oil Slick Observation at Low Incidence Angles in Ku-Band
    Panfilova, M. A.
    Karaev, V. Y.
    Guo, Jie
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2018, 123 (03) : 1924 - 1936