GIS risk analysis of a first-degree seismic zone: Kaynaşlı (Turkey)
| Autor: | Hüseyin Bayraktar, Hanifi Tokgöz |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Risk status
Geographic information system General Computer Science business.industry Seismic zone Mechanical Engineering Environmental resource management Biomedical Engineering Bioengineering Terrain computer.file_format Industrial and Manufacturing Engineering Geography Risk analysis (business) Architecture Data bank Disaster Settlement suitability Street screening Electrical and Electronic Engineering Raster graphics Natural disaster business computer |
| Zdroj: | Periodicals of Engineering and Natural Sciences (PEN). 6:10 |
| ISSN: | 2303-4521 |
| DOI: | 10.21533/pen.v6i2.169 |
| Popis: | This study aimed to analyze the land survey maps and existing data to determine the vulnerable areas of the Kaynaşli districts at risk in terms of natural disaster, as Kaynaşli is located in a first-degree seismic zone. This three-phase study analyzed geological-geotechnical survey reports via the geographic information system (GIS) and applied them to Kaynaşli Municipality in Düzce Province (Turkey). First, a non- digital raster suitability map based on a 2005 Kaynaşli Municipality report was digitized via ArcGIS and used to conduct natural disaster risk analyses of Kaynaşli. The 2112 buildings covered by the suitability map were then scanned and inventory information generated for each. Finally, using ArcGIS software, the digitized inventory information was superimposed on the suitability map. In Kaynasli, a total 2112 buildings were examined via street screening and their risk status was identified in terms of the terrain. Disaster and risk ratios were calculated and vulnerable areas were pinpointed. All the information obtained from the results of the analyses was shared with the local authorities. According to the physical inventory information, a sustainable data bank was created with the purpose of facilitating the necessary measures for disaster preparedness to be taken by the local authorities in Kaynaşli. The model of this Kaynaşli natural disaster risk study could be applied in other communities to assist in identifying vulnerable settlement areas. © 2018 International University of Sarajevo. |
| Databáze: | OpenAIRE |
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