Oil Spill Detection, Identification, and Tracing - Softcover

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

Early detection, timely tracking, and accurate tracing of marine oil spills are central to prevention and oil spill emergency remediation. Oil Spill Detection, Identification, and Tracking provides readers with an overview of 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 an introduction to causes and characteristics of oil spills on water, the chapters then evaluate a range of different oil spill detection methods, including passive optical remote sensing, active optical remote sensing, marine radar, and GNSS-R. This book then reviews oil spill traceability technology, highlighting the ecological effect of oil spills on the oceanic environment, current studies on oil spill fingerprinting methods, and the application of stable isotope technology in oil spill tracing. This book concludes with three key case studies with real-world scenarios. Oil Spill Detection, Identification, and Tracking is a practical resource for students, researchers, and engineers interested in oil spill pollution, environmental science, and the marine environment. Key features:

• Describes the application of detection, identification, and tracing technologies used in marine oil spill research
• 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
• Focuses on prevention and remediation through technological advances

About the Author: Dr. Ying Li Professor, Dalian Maritime University, China Ying Li received a PhD 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, and waterborne intelligent transportation. Her credentials include being a member of the expert committee of the Ministry of Transport, Vice Chair of the “Digital Ocean” special committee at the National Committee of International Digital Earth Society of China, and Vice Chair of the Navigation Remote Sensing Special Committee at the Chinese Society of Navigation, overseeing more than 20 national and ministerial projects, and being published in over 120 scientific papers. She has also been awarded over 30 national patents and over 20 provincial and ministerial awards, including second prize for National Technological Invention and special prize for technological invention by the Chinese Society of Navigation.