Overview

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 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.

Full Product Details

Author:   Ying Li (Professor, Dalian Maritime University, China)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.630kg
ISBN:  

9780443137785

ISBN 10:   0443137781
Pages:   308
Publication Date:   23 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Theoretical bases 3. Oil spill detection based on passive optical remote sensing 4. Oil spill detection based on active optical remote sensing 5. Oil spill detection based on marine radar 6. Oil spill detection based on SAR 7. Oil spill detection based on GNSS-R 8. Oil spill traceability technology 9. Case study: Routine surveillance of the oil spills in coastal environments 10. Case study: Oil spill extraction in spaceborne dual-polarized SAR imagery 11. Case study: Tracing illegal oil discharge from ships 12. Case study: Remotely monitoring oil storage facilities 13. Case study: Oil spill tracing based on stable carbon isotope of petroleum hydrocarbons

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Author Information

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.

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