Oil spills are a serious marine disaster. Oil spill accidents usually occur in shipping, ports and offshore oil development. Although most are emergent events, once an oil spill occurs, it will cause great harm to the marine ecological environment, and bring direct harm to the economic development along the affected coast as well as to human health and public safety.

Information Engineering of Emergency Treatment for Marine Oil Spill Accidents analyzes the causes of these accidents, introduces China's emergency response system, discusses technologies such as remote sensing and monitoring of oil spill on the sea surface and oil fingerprint identification, studies model prediction of marine oil spill behavior and fate and emergency treatment technologies for oil spills on the sea surface, and emphatically introduces the emergency prediction and warning system for oil spills in the Bohai Sea as well as oil spill-sensitive resources and emergency resource management systems.

Features:

The status quo and causes of marine oil spill pollution, as well as hazards of oil spill on the sea.

The emergency response system for marine oil spills.

Model-based prediction methods of marine oil spills.

A series of used and developing emergency treatments of oil spill on the sea.

This book serves as a reference for scientific investigators who want to understand the key technologies for emergency response to marine oil spill accidents, including the current level and future development trend of China in this field.

About the Author

Dr. Lin Mu, was born in 1977, Professor, Doctoral supervisor, Dean of College of Marine Science and Technology of China University of Geosciences, who received Ph. D. degree from Ocean University of China and majored in physical oceanography. Prof. Mu has been devoted to the research fields of informational maritime safety support and applied oceanography and has obtained significant achievements in recent years. He has published 3 monographs and over 50 research papers, 20 of which are covered by Science Citation Index. Prof. Mu is the editorial board member of Marine Science Bulletin, committee member of JCOMM Expert Team on Maritime Safety Services (ETMSS), Chinese committee member of IPCC Fifth Assessment (AR5), and member of European Geosciences Union (EGU) and International Society of Offshore and Polar Engineers (ISOPE). As the chief scientist, he has been presiding important projects such as National Key Research and Development Program of China, National Natural Science Foundation Project of China and National Science and Technology Support Program of China.
In the field of informational maritime safety support, Prof. Mu is specialized in marine oil-spill pollution warning and firstly developed a prediction and warning system of marine oil-spill, search and rescue integration in China, which has been successfully used in a series of accident issues. He is an expert in marine search and rescue techniques who studied, predicted and analyzed the drifting trajectory of the debris of Flight MH370, which provided technical support for related emergency responses. In the field of applied oceanography, Prof. Mu proposed a real-time tidal level prediction system based on statistics and dynamic model by coupling the real-time monitoring data of meteorology and tidal level, statistical prediction method of tide, atmospheric and marine dynamics model, and real-time visualization technology, which conquered the drawbacks of traditional models and brought clear economic benefits.

Dr. Lizhe Wang is a “ChuTian” Chair Professor at School of Computer Science, China Univ. of Geosciences (CUG), and a Professor at Inst. of Remote Sensing & Digital Earth, Chinese Academy of Sciences (CAS). Prof. Wang received B.E. & M.E from Tsinghua Univ. and Doctor of Eng. from Univ. Karlsruhe (Magna Cum Laude), Germany. Prof. Wang is a Fellow of IET, Fellow of British Computer Society. Prof. Wang serves as an Associate Editor of IEEE TPDS, TCC and TSUSC. His main research interests include HPC, e-Science, and remote sensing image processing.

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