Realization of Earthquake Vulnerability Analysis in Structure Scale with Fuzzy Logic Method in GIS: Kadikoy, Maltepe and Prince Islands Sample
Abstract
The inadequate evaluation of geologic factors and unqualified and unplanned structuring play effective role in
giant damage and loss of lives created by the earthquakes and faulty areas choice and structure construction
cause building damages during the earthquake, thus it also causes giant loss of lives. Istanbul province and its
immediate environment are located in north of North Anatolian Fault Zone having 1500 km length. Hence, it
causes that the settlement’s Sea of Marmara coastal region is located in 1st seismic belt. The earthquake risk in
Istanbul and related risk factors should be determined besides vulnerability and earthquake risk. A
mathematical model has been created in geographic information systems for Kadıkoy, Maltepe and Prince
Islands sub-provinces by using Fuzzy Logic method which is one of the artificial intelligence methods by
considering 4 vulnerability parameters and earthquake vulnerability analysis have been made in this study. The
used parameters are the location by fault line, geologic structure, building structure and the number of floors.
The vulnerability grades emerged as a result of analysis have been studied and the distribution of buildings
according to those levels have been presented via a thematic map. The pre-earthquake precautions should be
determined for the study field by considering the vulnerability grades in case of any earthquake and the loss of
life and property should be minimized.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Alper Şen
Yildiz Technical University, Civil Engineering Faculty, Geomatic Engineering Department
Türkiye
Vedat Ekinci
This is me
Yildiz Technical University, Civil Engineering Faculty, Geomatic Engineering Department
Türkiye
Publication Date
December 30, 2016
Submission Date
April 15, 2017
Acceptance Date
December 15, 2016
Published in Issue
Year 2016 Volume: 3 Number: 3
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