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: <ul>
<li>The status quo and causes of marine oil spill pollution, as well as hazards of oil spill on the sea.</li> <li>The emergency response system for marine oil spills.</li> <li>Model-based prediction methods of marine oil spills.</li> <li>A series of used and developing emergency treatments of oil spill on the sea.</li> </ul> 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.

Information Engineering of Emergency Treatment for Marine Oil Spill Accidents

Computers & Technology

Wang, Lizhe

Yan, Jining

Mu, Lin

Computer Science

CRC-Press

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: <ul>
<li>Covers remote sensing cloud computing</li> <li>Covers remote sensing data integration across distributed data centers</li> <li>Covers cloud storage based remote sensing data share service</li> <li>Covers high performance remote sensing data processing</li> <li>Covers distributed remote sensing products analysis</li>
</ul>

Cloud Computing in Remote Sensing

Ma, Yan

Chapman and Hall/CRC

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Books by Yan, Jining