AN APPROACH FOR DETERMINING DISASTER RISK AS A PART OF NATIONAL DATA MODELS

Tastan B., AYDINOĞLU A. Ç.

FRESENIUS ENVIRONMENTAL BULLETIN, cilt.29, sa.1, ss.6-18, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 29 Sayı: 1
  • Basım Tarihi: 2020
  • Dergi Adı: FRESENIUS ENVIRONMENTAL BULLETIN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Geobase, Greenfile, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.6-18
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In this study, a model of approach was determined with regards to disaster risk management in order to use geographic data collected from different sources. It is aimed to build disaster risk data model developed as an extension of National GIS (TUCBS) with a case study of Turkey and compatible with national geographical data models. Data models, developed with Unified Modelling Language (UML) in line with ISO/TC 211 Geographic Information/Geomatics and Open Geospatial Consortium (OGS) standards, were encoded according to open Geography Markup Language (GML). In order to develop a disaster risk model, data and data contents, required for different disaster hazard, vulnerability, and risk analysis were determined. It was developed by taking the existing data structure and disaster risk data requirements, compatible with TUCBS data standards and the same conceptual guidelines. 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. In this way, a case study producing a landslide risk map was presented by using interoperable open geographic data models and analysis tools.