A Model of Quantitative Risk Assessment of Marine Pollution from Ships Based on GIS and AIS

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Abstract:

In order to overcome the defects of the present risk assessment model of the pollution from ships, a new mathematic model of quantitative risk assessment based on GIS and AIS is presented and established. Through statistical analysis of historical pollution accidents in the specific sea area and in accordance with the relevant data such as streams of traffic and ship type etc obtained by AIS, the frequency of the ship accident can be calculated. It makes the marine pollution assessment more scientific n and quantitative.

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2006-2010

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] CHAI-Tian, HUANG-Zhi. Assessment of Emergency Response Capability to Oil Spill at Sea. NAVIGATION OF CHINA, 2011, 34(4): 98-103. (In Chinese).

Google Scholar

[2] HAN Jun-song, XIONG De-qi, LIAO Guo-xiang. Identification of High-Risk Area of Marine Pollution Accidents in the Bohai Sea. NAVIGATION OF CHINA, 2010, 33(4): 85-89. (In Chinese).

Google Scholar

[3] ISO/IEC 17799-2005. Information technology code of practice for information security Management. 2005-06-15.

Google Scholar

[4] M.S. Eide. Intelligent Ship Traffic Monitoring for Oil Spill Prevention: Risk Based Decision Support Building on AIS. Mar. Poll. Bull., 2007, 54: 145-14.

DOI: 10.1016/j.marpolbul.2006.11.004

Google Scholar

[5] Colleen O'Hagan. Use of GIS for assessing the changing risk of oil spills from tankers. http: /www. itopf. com/information-services/publications/papers/documents/arctic_shipping. pdf.

Google Scholar

[6] Marine Ship Automatic Identification System (AIS) for Enhanced Coastal Security Capabilities: An Oil Spill Tracking Application. http: /www www. dtic. mil/cgi-bin.

DOI: 10.1109/oceans.2007.4449285

Google Scholar

[7] WU Zhaolin, Zhu-Jun. Marine Traffic Engineering. Dalian: Press of Dalian Maritime University, 2004. (In Chinese).

Google Scholar

[8] PEI Erming, LIU Baoxu. Effective Risk Assessment Model Algorithm and Process. Computer Engineering, 2006, 32(23): 15-17.

Google Scholar