Decision support system for managing oil spill events.

Area of Science:

• Environmental Science
• Geographic Information Science
• Remote Sensing

Background:

• The Mediterranean faces significant environmental hazards like oil spills.
• Effective emergency management requires advanced decision support systems (DSS).
• Marine pollution events necessitate rapid and accurate response strategies.

Purpose of the Study:

• To present a comprehensive DSS for managing marine oil spill events.
• To integrate tools for oil spill detection, monitoring, and consequence estimation.
• To provide crucial support for public authorities during clean-up operations.

Main Methods:

• Utilizing an image processing-geographic information system (IP-GIS) as the core.
• Employing satellite imagery for early oil spill detection and monitoring.
• Integrating simulation software for oil spill evolution and numerical calculations.
• Incorporating detailed regional environmental and land-cover data.

Main Results:

• The DSS facilitates early detection and tracking of oil spills from satellite data.
• It provides essential tools for assessing the environmental and financial consequences of spills.
• The system supports public authorities with accurate, up-to-date information for response.
• A specific application was developed and tested for the vulnerable Region of Crete.

Conclusions:

• The developed DSS is vital for mitigating environmental hazards from oil spills in the Mediterranean.
• Accurate information and detailed coastal maps are paramount for effective emergency assessment.
• The system enhances the capability of authorities to manage marine pollution events efficiently.
• The application in Crete demonstrates the DSS's utility in a high-risk area.