Oil Spill Detection, Identification, and Tracing
- 1st Edition - October 1, 2023
- Imprint: Elsevier
- Author: Ying Li
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 7 8 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 7 9 - 2
Oil Spill Detection, Identification and Tracing provides readers with currently applicable technical methods, including early warning monitoring of trace oil film in ports, re… Read more
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Request a sales quoteOil 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 spills on water, chapters then evaluate a range of different detection methods, including passive optical remote sensing, active optical remote sensing, marine radar, and GNSS-R. The book then reviews oil spill traceability technology, highlighting the ecological effect of oil spills on oceanic environment, current studies on oil spill fingerprinting, and the application of stable isotope technology in oil spill tracing.
The book concludes with three key case studies with real-world scenarios, making it a practical resource for students, researchers and engineers interested in oil spill pollution, environmental science and the marine environment.
- Includes principles and methods of emerging remote-sensing technologies (e.g., fluorescent remote sensing, marine radar, and GNSS-R to monitor oil spills)
- Provides a detailed introduction of oil-spill traceability technology, especially the use of stable isotope analysis for oil spill tracing
- Describes the application of detection, identification and tracing technologies used in marine oil spill research
- Focuses on prevention and remediation through technological advances
Researchers in oil spill pollution and remote sensing, Maritime safety agencies, Local environmental agencies, Graduate students in remote sensing, oceanography, environmental science, and engineering, Readers interested in the environment and specifically ocean pollution caused by oil spillage, Professionals: Oil sector: e.g., petroleum engineers, Environmental engineers and managers, Offshore engineers, Ecologists, Students: As a textbook or reference book for graduate-level courses in “Ocean Remote Sensing,” “Ocean Optics,” and “Introduction to Spill Science.”
- Cover image
- Title page
- Table of Contents
- Copyright
- 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
- 2. Theoretical basis
- 2.1. Basics of electromagnetic radiance
- 2.2. Basic terms of remote sensing
- 3. Passive optical remote sensing technology for oil spill detection
- 3.1. Remote sensors and sensing platforms
- 3.2. Theoretical basis for the oil spill remote sensing using visible bands
- 3.3. Oil spill detection using infrared bands
- 3.4. Passive optical remote sensing technology
- 4. Active optical remote sensing technology for oil spill detection
- 4.1. Remote sensors and sensing platforms
- 4.2. Principle of oil spill detection based on LIF
- 4.3. Oil spill identification based on LIF
- 5. Oil spill detection based on marine radar
- 5.1. Radar sensors and platforms
- 5.2. Principle of oil spill detection based on marine radar
- 5.3. Oil spill identification and extraction based on marine radar
- 6. Oil spill detection based on SAR
- 6.1. Remote sensors and sensing platforms
- 6.2. Principles of oil spill detection based on SAR
- 6.3. Oil spill detection process based on SAR
- 7. Oil spill detection based on GNSS-R
- 7.1. Remote sensors and sensing platforms
- 7.2. Oil spill information extraction based on GNSS-R
- 8. Oil spill tracing technology
- 8.1. Ecological effect of oil spill
- 8.2. Identification index of oil spill tracing
- 8.3. Stable isotope fingerprint of spilled oil
- 9. Case study: routine surveillance of the oil spills in coastal environment
- 9.1. UV-induced fluorescence device for oil spills detection
- 9.2. Design of UV-induced fluorescence device for oil spills detection
- 9.3. Long-term experiment of oil spill monitoring using UV-induced fluorescence device
- 9.4. Routine surveillance of oil spills using UV-induced fluorescence device
- 10. Case study: Oil spill extraction in spaceborne dual-polarization SAR image
- 10.1. Scattering mechanism of oil film on the sea surface
- 10.2. Oil spill detection algorithm based on the edge advantage characteristics of multitemporal region of interest
- 10.3. Experimental area and data source
- 10.4. Multitemporal dual-polarization oil spill detection results
- 11. Case study: tracing illegal oil discharge from ships
- 11.1. Illegal oil discharge from ships
- 11.2. Oil spill detection and look-a-like elimination from SAR images
- 11.3. Tracing the source of spills using AIS
- 12. Case study: remotely monitoring oil storage facilities
- 12.1. Inversion method for the height of oil tank
- 12.2. Detection method of storage tank
- 12.3. Application cases
- 13. Case study: Oil spill tracing based on stable carbon isotope of petroleum hydrocarbons
- 13.1. Theoretical basis of stable carbon isotope of petroleum hydrocarbon
- 13.2. Stable isotope analysis of oil spill
- 13.3. Analysis of n-alkane composition
- 13.4. Comparative analysis of crude oil and fuel oil samples
- Index
- Edition: 1
- Published: October 1, 2023
- No. of pages (Paperback): 308
- No. of pages (eBook): 330
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443137785
- eBook ISBN: 9780443137792
YL
Ying Li
Ying Li received a Ph.D. in Miyagi, Japan, from Tohoku University. Currently a professor in Dalian Maritime University, China, Dr. Li is the Dean of the national key-field innovation team of maritime traffic safety and spatial information technology. For over 20 years, she has contributed to scientific research in the fields of intelligent perception of at-sea target and navigation environment, oil spill detection, waterborne intelligent transportation.
Her credentials include:
Member, expert committee of the Ministry of Transport,
Dr. Li oversaw > 20 national and ministerial projects.
Awarded > 30 national patents and been published in > 120 scientific papers.
Awarded > 20 provincial and ministerial awards, including second prize for National Technological Invention, special prize for technological invention, Chinese Society of Navigation.
Vice chair, “Digital Ocean” special committee, National Committee of International Digital Earth Society of China
Vice chair, Navigation Remote Sensing Special Committee of Chinese Society of Navigation.
Affiliations and expertise
Professor, Dalian Maritime University, ChinaRead Oil Spill Detection, Identification, and Tracing on ScienceDirect