UML modelling of disaster management data according to TUCBS data definition guide: Istanbul example

Abstract

Various types of disaster occur worldwide and in Türkiye each year due to physical and human factors. In recent years, disasters have grown increasingly complex as a result of global climate change and human factors, whose mechanisms are difficult to understand. As a result, many lives and properties have been lost. Collaboration and coordination among institutions and organizations play a significant role in disaster mitigation. For institutions working on disasters to effectively intervene, they need to have adequate information and data. Coordination is the ability of all institutions to act in a coordinated manner. It is therefore possible to minimize the adverse effects of disasters in this manner. Disaster management studies are conducted by a number of institutions and organizations in Türkiye. Production, storage, and update of disaster data sets require the use of a standard methodology. Once data has been generated, it must be able to be utilized and shared correctly. Geographical data is used by a variety of institutions and organizations to meet the needs of these parties to the maximum of their abilities. Therefore, it is recommended that different institutions and organizations do not produce the same data repeatedly. Given that the risk zones geographical data are being used by more than one institution, these datasets should adhere to the same standards. During the development of Turkish National Geographical Information Systems (TUCBS) infrastructure standards, natural risk areas were examined within the scope of the thesis. These standards are being developed in accordance with ISO/TC211 standards for the development of a geographical data model. They are also being developed according to those of the Open Geographical Information Consortium for the exchange of web services and geographical information. Data related to natural risk zones have been examined. Using the risk data of Istanbul province, Umraniye county, the data transformation process was carried out. Thus, it is possible to ensure compatibility with the TUCBS Natural Risk Zones data theme.