FIG Working week 2015, 17-21 May 2015, Sofia, Bulgaria,
Developing Interoperable Geographic Data Model for the Mitigation Phase of Disaster Management
Arif Cagdas AYDINOGLU and Bekir TASTAN, Turkey
Keywords: Geographic Information Systems, Mitigation Phase of Disaster Management, Geographic Data Model, Data Requirement Analysis, Interoperability.
Manmade and natural disasters have been increasing day by day and cause great human and properties losses. Hazard is a dangerous fact or activity that can leads to loss of life, health effects, social and economic losses. Vulnerability is a feature of a society that makes it susceptible to the destructive outcomes of the hazardous event. The interaction of hazard and vulnerability creates the risk of disaster. Mitigation stage refers to activities such as determination of disaster hazard and risk and avoidance of damages, prevention of its effects or minimization, taking measures to compensate inevitable losses. It is an intricate issue in the whole sequence of emergency management requiring full and quick collaboration between diverse actors in diverse sectors. Geographic Information Systems (GIS) will facilitate to diminish of calamitous results of disasters and protect lives and properties with dynamic use in mitigation phase of disaster management. For effective management of disasters as a priority, data requirement analysis were accomplished for mitigation phase of disaster management after determining disaster types such as earthquake, flooding, landslide, forest and urban fire. Developing an interoperable geographic data model is a new approach for Turkey that enables using the data corporately and successfully. This model are object-oriented model and based on ISO/TC 211 Geographic Information standards. The model is fully described with Unified Modeling Language (UML) class diagram and converted to Geographic Markup Language (GML) of OGC. The model compliant with Turkey National GIS specifications can be starting point for geographic data providers in Turkey to determine disaster risk that has significance because of the increasing of natural or man-made disasters. When data sets are produced with these standards, risk map will be produced effectively and data sharing will be possible between different actors.
The Congress web site: http://www.fig.net/fig2015/