پديد آورندگان :
ابراهيميان قاجاري، ياسر نويسنده . نويسنده مسيول: دانشجوي دكتراي GIS دانشگاه صنعتي مالك اشتر، مجتمع دانشگاهي آمايش و پدافند غيرعامل، تهران، ايران. Ebrahimian-Ghajari, Yaser , آل شيخ، علياصغر نويسنده عضو هييت علمي دانشگاه صنعتي خواجه نصيرالدين طوسي، دانشكده ژيودزي و ژيوماتيك، تهران، ايران. , , مديري، مهدي نويسنده عضو هييت علمي دانشگاه صنعتي مالك اشتر، مجتمع دانشگاهي آمايش و پدافند غيرعامل، تهران. ايران Modiri, Mehdi
كليدواژه :
آسيبپذيري كالبدي , سامانههاي اطلاعات مكاني , ارزيابي چندمعياره , زلزله , منطق فازي
چكيده لاتين :
Modeling of seismic vulnerability of urban buildings in geographic information system environment (case study: Babol city)
Corresponding author: Yaser Ebrahimian-Ghajari, PhD Student of GIS, Malek Ashtar University of Technology, University Complex of Logistics and Passive Defense, Tehran, Iran Email:y.ebrahimian@nit.ac.ir
Ali Asghar AleSheikh, Faculty member, K. N. Toosi University of Technology, Faculty of Geodesy and Geomatics Engineering, Tehran, Iran
Mehdi Modiri, Faculty member, Malek Ashtar University of Technology, University Complex of Logistics and passive defense, Tehran, Iran
Reza Hosnavi, Faculty member, Malek Ashtar University of Technology, University Complex of Logistics and passive defense, Tehran, Iran
Mohammad Ali Nekouei, Faculty Member, Malek Ashtar University of Technology, Tehran, Iran
Received: May 23, 2015 Accepted: 30 January, 2016
Abstract
Background: Throughout history, humans have always been faced earthquakes as a natural disaster and incurred physical, social, economic and environmental harm. The best way to deal with this threat is being ready; one of the basic strategies is to have knowledge about the degree of vulnerability of the city against earthquake.
Method: Different criteria are involved in modeling of the vulnerability of the city most of them are of the nature of the place; so, modeling of the vulnerability is a multi-criteria evaluation of the place. In this study, 11 criteria were extracted via reviewing previous researches and consulting the experts. Then, the modeling was done for Babol city, Iran, using fuzzy logic model and weighted linear combination method under conditions of uncertainty.
Findings: Modeling in Babol city showed that 10%, 24%, 27%, 28% and 11% of the buildings were in the condition of very low, low, medium, high, and very high vulnerability.
Conclusion: Babol city can be considered as vulnerable to earthquake as nearly 70% of the buildings were labeled “medium” to “high” vulnerable. Hence, basic interventions for crisis management should be taken on the agenda of the relevant officials before an earthquake occurs.
Keywords: Structural vulnerability; Earthquake; Geographic information system; Multi-criteria evaluation; Fuzzy logic