Oil Spill Detection, Identification, and Tracing 1st Edition

Oil Spill Detection, Identification, and Tracing (1st Edition) by Ying Li is an essential, practice-focused guide for anyone tackling marine and coastal pollution. Combining cutting-edge science with real-world applications, this book delivers clear methods for oil spill detection, oil identification, and forensic tracing across diverse environments—from the Gulf of Mexico and North Sea to the Arctic and Asia-Pacific coastal waters.

Start with a compelling overview of remote sensing techniques, including SAR and hyperspectral imagery, then move into sensor integration, UAV monitoring, and in-situ sampling strategies. The author bridges technical depth and usability: readers gain step-by-step approaches to sample collection, chemical fingerprinting, trajectory modeling, and GIS-based mapping that support rapid response and long-term environmental assessment.

Engineered for practitioners and decision-makers, the book addresses regulatory contexts, incident investigation, and interagency coordination, making it invaluable for environmental managers, marine engineers, researchers, and policy advisors. Case studies demonstrate how detection and tracing combine to inform cleanup prioritization, liability determination, and habitat restoration planning.

Readable yet authoritative, this 1st Edition emphasizes actionable workflows and best practices you can apply in coastal monitoring programs, oil spill response planning, and academic research. Whether you’re preparing for fieldwork, designing monitoring systems, or shaping policy, Ying Li’s work equips you with the technical tools and strategic insight to protect marine ecosystems effectively.

For professionals and students seeking a comprehensive, geographically relevant resource on oil spill science and response, Oil Spill Detection, Identification, and Tracing is a definitive and practical addition to your library.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.