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ASME Press Select Proceedings
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

The ability to remotely detect and monitor oil spills at sea is becoming increasingly important due high demand of oil based products. As a consequence, shipping routes become much busier and the likelihood of slicks occurring will also increase. If applied correctly, an integrated remote sensing system can act as a beneficial monitoring tool. The integrated system should monitor ship traffic and marine operators using a sensing capability made of electronic sensors, geopositioning tools, and a communication infrastructure network. In this paper, based on the concept of dynamic risk, we propose a new model that should account in an unique scenario two different classes of data correspondent, in one case to possible sources of oil spill pollution events, and in the other one case to real time sensing monitoring. We name this model Geomatrix. Its successful implementation could involve a reduction of the costs for an effective real time monitoring of large marine areas, including Oceans.

Abstract
Keywords:
Introduction
The Argo-Geomatrix Model
A Bayesian Approach for the Definition of OSP Event Probability
Evaluation of the Impact Factor for OSP Events
Conclusive Remarks
Acknowledgment
References
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