پديد آورندگان :
احدنژاد روشتي، محسن نويسنده دانشكده جغرافيا وبرنامه ريزي شهري دانشگاه زنجان Ahadnejad, Mohsen , روستايي، شهريور نويسنده دانشيار گروه جغرافيا و برنامه‌ريزي شهري، دانشكده جغرافيا، دانشگاه تبريز، ايران. Roostaei, Shahrivar , كاملي‌فر، محمدجواد نويسنده نويسنده مسيول: دانشجوي دكتراي جغرافيا و برنامه‌ريزي شهري، دانشكده علوم زمين، دانشگاه شهيد چمران، اهواز، ايران. Kamelifar, Mohammad Javad , عليزاده، هادي نويسنده دانشجوي دكتراي جغرافيا و برنامه‌ريزي شهري، دانشكده علوم زمين، دانشگاه شهيد چمران، اهواز، ايران. Alizadeh, Hadi
چكيده لاتين :
Analysis of the seismic vulnerability of physical indicators based on fuzzy logic method (case study: district 1 of Tabriz city)
Mohsen Ahadnezhad Roshti, Associate Professor, Department of Geography and Urban Planning, School of Humanities, University of Zanjan, Zanjan, Iran
Shahrivar Roostaei, Associate Professor, Department of Geography and Urban Planning, School of Geography, University of Tabriz, Tabriz, Iran
Corresponding author: Mohammad Javad Kamelifar, PhD Student, Department of Geography and Urban Planning, School of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Email: m.javad_kamelifar@yahoo.com
Hadi Alizadeh, PhD Student, Department of Geography and Urban Planning, School of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Received: August 19, 2015 Accepted: December 1, 2015
Abstract
Background: Given the importance of the topic of earthquakes, as a natural disaster, challenges and damages caused by them in human societies, especially in urban settlements, considering construction issues and policies in order to identify the strengths and weaknesses in the indicators of the urban texture is important. With such necessity and the geological condition awareness of the city, due to earthquakes, this study aimed to assess the vulnerability of physical parameters by focusing on District 1 of Tabriz, Iran.
Methods: This was a descriptive-analytic study. Information on indicators of research topics were classified into six dimensions, including life, quality, number of floors, occupation level, user type, and building materials, and the map of their current situation was produced. ArcGIS software was used to analyze the data and functions of fuzzy analysis and/or fuzzy gamma analysis were used to determine the best conditions and appropriate zones.
Findings: The fuzzy Gamma function with the threshold of 0.9 was better than other fuzzy functions in the seismic vulnerability analysis of physical indicators of District 1 of Tabriz. According to the results of these functions, the north and north-western parts of the region and the central parts towards the south of the region were vulnerable.
Conclusion: The results indicated that the northern part of District 1 and areas in the western part of the region had high potential for seismic vulnerability in terms of physical indicators. Moreover, the building blocks in the southern parts and areas south of the border had medium to high vulnerability which required careful planning before the crisis in the region in terms of strengthening and improving physical indicators, especially in the field of construction, and quality and type of materials.
Keywords: Fuzzy analysis; Seismic vulnerability; Physical indicators; Iran
