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Oil Spill Detection, Identification, and Tracing /

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Oil Spill Detection, Identification and Tracing provides readers with currently applicable technical methods, including early warning monitoring of trace oil film in ports, remote sensing monitoring of sea surface oil spills, and source tracing. Beginning with the causes and characteristics of oil s...

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Bibliographic Details
Main Author: Li, Ying (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam ; Cambridge, MA : Elsevier, [2024]
Subjects:
Oil spills.
Oil spills > Identification.
Detectors.
Tracers (Chemistry)
Oil spills > Case studies.
Déversements de pétrole.
Déversements de pétrole > Identification.
Traceurs (Chimie)
Déversements de pétrole > Études de cas.
Electronic books.
Case studies.
Études de cas.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • OIL SPILL DETECTION,IDENTIFICATION, AND TRACING
  • OIL SPILL DETECTION,IDENTIFICATION, AND TRACING
  • Copyright
  • Contents
  • Preface
  • Acknowledgments
  • 1
  • Introduction
  • 1.1 Oil spill and its impacts
  • 1.2 Sources of oil spills and their characteristics
  • 1.3 Oil spill remote sensing and tracing
  • 1.3.1 Oil spill detection and identification technology
  • 1.3.2 Oil spill tracing
  • 1.3.2.1 Infrared spectroscopy
  • 1.3.2.2 Fluorescence spectroscopy
  • 1.3.2.3 Gas chromatography
  • 1.3.2.4 Gas chromatography-mass spectrometry
  • 1.3.2.5 Stable isotope mass spectrometry
  • 3.2 Theoretical basis for the oil spill remote sensing using visible bands
  • 3.2.1 Solar radiation
  • 3.2.2 Transmission of visible light in the atmosphere
  • 3.2.3 Interaction between visible light and oil slick
  • 3.3 Oil spill detection using infrared bands
  • 3.3.1 Theoretical basis of infrared radiation
  • 3.3.2 Interaction between infrared radiation and atmosphere
  • 3.3.3 Infrared characteristics of oil spills
  • 3.4 Passive optical remote sensing technology
  • 3.4.1 Oil spill detection and identification based on reflectance spectrum
  • 3.4.1.1 Feature selection and feature extraction of hyperspectral data
  • 3.4.1.2 Spectral characteristics parameters
  • 3.4.2 Oil spill extraction in hyperspectral image
  • 3.4.3 Spectral unmixing technology for oil spill detection
  • 3.4.3.1 Spectral mixing model
  • 3.4.3.2 Spectral unmixing model
  • 3.4.3.3 Abundance estimation
  • References
  • 4
  • Active optical remote sensing technology for oil spill detection
  • 4.1 Remote sensors and sensing platforms
  • 4.1.1 Airborne LIF system for oil spill detection and identification