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Determining disaster risk by designing interoperable national data models as an extension of INSPIRE data themes

Arif Cagdas Aydinoglu

(Submission #455)


Disasters are destructions that deeply affect communities. The vulnerability states of risk elements also prove to be effective in the emergence of disasters in addition to the presence of natural or technological-based hazards. While hazard is an event causing losses from social, economic or health aspects; vulnerability is its several features that make society susceptible to the effects of catastrophic events. The interaction between danger and vulnerability raises the risk of disaster. Disaster management includes various activities for eliminating or minimizing destructions posed by disasters. Damage mitigation phase in disaster management comprises activities such as determination of disaster dangers and risks, avoiding harm, preventing the effects of disasters and taking measures in order to reduce losses. There is a need for the use of the techniques of Geographic Information System (GIS), the effective management of data from different sources and real-time interoperability for disaster risk management when considering the complex nature of disasters.

In this study, a sample approach was determined in geographic data management in order for geographic data from different sources to be used in disaster risk management. It aimed to build disaster risk data model developed for National GIS (TUCBS) with Turkey sample and compatible with relating INSPIRE data themes as an extension. Data model, developed with Unified Modeling Language (UML) in line with ISO/TC 211 Geographic Information / Geomatics and Open Geospatial Consortium (OGS) standards, was coded according to open Geography Markup Language (GML). Data and data contents, required for different disaster hazard, vulnerability and risk analysis such as earthquake, floods, landslides, fires, forest fires ad traffic accidents that mostly occur in Turkey, were determined in order to develop a disaster risk model. It was developed by taking the existing data structure and disaster risk data requirements, compatible with TUCBS data standards and in accordance with the same conceptual guidelines. This approach proved to be significant in the determination of gradually increasing and complicating disaster risks. An effective production of risk maps would be facilitated by ensuring the effective use and interoperability of data sets from different sources when geographical data sets were generated by these standards.


Topic Area:  [1.8] Risk and management of natural disasters
Abstract Type:  Oral Presentation

Additional fields

Comments:   National hazard, disasater risk, data specification, INSPIRE natural hazard, Turkey National GIS

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