ارزیابی آسیب‌پذیری مساکن شهری در برابر زلزله (مطالعه موردی منطقه 9 شهرداری تهران)

نویسندگان

چکیده

  تهران به عنوان یکی از شهرهای مهم ایران به واسطه قرار گرفتن چندین گسل فعال در اطراف و درون آن از ریسک بالایی در برابر خطر زلزله برخوردار است، براین اساس بررسی­های مربوط به آسیب­پذیری لرزه­ای این شهر یکی از ضروریات مدیریت شهری تهران است. با توجه به این مهم منطقه 9 شهرداری تهران به عنوان منطقه مورد مطالعه انتخاب شد، روش تحقیق و تجزیه و تحلیل اطلاعات جمع­آوری شده با توجه به روشهای مبتنی بر پایگاه اطلاعاتی و با بهره­گیری از مدل­ TOPSIS Fuzzy و نرم افزارهای مبتنی بر رویکرد سیستم اطلاعات جغرافیایی صورت می­پذیرد. معیارهای مصالح ساختمانی، قدمت ساختمان، تعداد طبقات، کیفیت ابنیه، تراکم جمعیت، سازگاری کابری­ها و وضعیت قرارگیری ساختمان در بلوک برای انجام پژوهش مورد استفاده قرار گرفتند. نتایج حاصله حاکی از آسیب­پذیر بودن منطقه 9 شهرداری تهران در برابر زلزله و کارایی مدل TOPSIS Fuzzy در ارزیابی آسیب­پذیری منطقه مورد مطالعه است.   

کلیدواژه‌ها


عنوان مقاله [English]

The Vulnerability Assessment of Urban Housing in Earthquake against (A Case Study: 9th district of Tehran municipality)

نویسندگان [English]

  • J. Amini
  • M. Ahadnezhad
  • M. Farajzadeh
چکیده [English]

  The Vulnerability Assessment of Urban Housing in Earthquake against (A Case Study: 9th district of Tehran municipality)   M. Farajzadeh. Associate Professor of Remote Sensing, Tarbiat Modares University, Tehran, Iran e-mail: farajzam@modares.ac.ir M. Ahadnezhad.  Assistant Professor of Geography and Urban Planning, University of Zanjan, Zanjan, Iran J. Amini. M.A of Remote Sensing, Tarbiat Modares University, Tehran, Iran   Received: 15 September 2010 / Accepted: 1 February 2011, 4-6 P     Extended abstract   1- Intro duction   Tectonic features of the Iran, has raised the earthquake as one of the most destructive causes of destruction of human life. Historical review shows that large areas of Iran have been suffered by natural disasters and caused heavy human and financial loss. Because of this important issue it is needed to reduce earthquake vulnerability. The city of Tehran as one of the largest and most important cities, due to the geographic location of this city on several active faults and historical records of these faults activities can be said to face a massive earthquake in near future, so the 9th district of Tehran municipality, is selected as the study area. In this research TOPSIS Fuzzy model is used to assess and analyze vulnerabilities in the study area, considering different earthquake intensities.     2- Theoretical Bases   Basic concept of TOPSIS is based on the belief that selected options should have lowest distance from positive ideal points and most distance from negative ideal points. Since many of the variables related to the issue in the real world are linguistic and qualitative variables, so in these issues it is better toapply Model Fuzzy Decision Model, such as TOPSIS Fuzzy model, which shows the importance of standards and options performance according to the various characteristics, using fuzzy numbers, instead of integers.     3- Discussion   The results of the regions vulnerability assessment used shows that 73.66 percent of buildings in this area have moderate vulnerability, that are the northeast, east and southeast parts of this regions that included a maximum number of housing. Then, assessment of different earthquake intensities, the building damages were evaluated in the intensities of 6 and 7 and 8 Mercalli intensity scale. The results show that in intensity 6 of Mercalli scale, buildings damage in ranked between zero and one. In intensity 7, buildings damage was ranked between one and two and in intensity 8 buildings damage was ranks higher than two.     4- Conclusion   Many models are presented to analyze and evaluate the seismic vulnerability of cities and various researches have been done. In those works inside the country the investigated area was not small. Also, in today's world, in many variables related to current issues of real world are qualitative and linguistic, So, in these issues it is better to use fuzzy models, No doubt regional vulnerability is related to human characteristics in that region and a reflection of human behavior and human management practices, because the construction and implementation of engineering principles in construction depend on management comments and thoughts, After so, in any investigation, the applied models shoud be compatible with the study area conditions.     5- Suggestions   - Create an organized GIS database of cities, analysis of vulnerability of earthquake-prone areas, designing softwares for vulnerability analysis and assessment based on the analyzed model in this study.   - Vulnerability assessment of Tehran and other earthquake-prone regions of the country, to make necessary measures to reduce vulnerability in these areas.   Keywords: Vulnerability, Earthquake, District Number 9 of Tehran’s City Hall, Intuitionistic Fuzzy, TOPSIS Fuzzy Model.      References     Ahadnejad, M. (2009). Modeling of Urban Vulnerability in Earthquake Against, Case Study Zanjan, Thesis geography and urban planning at steerage gharakhlo, University of Tehran.   Japan International Cooperation Agency (JICA). (2001). Micro Zoning Project of the Great Tehran.   Amod Adviser Engineers architecture and Urbanism. (2006). report Plan of formal Region9 Tehran.   Asgharpor, M. J. (2008). Multiple Criteria Decision Making, University of Tehran Publishing.   Hataminejad, H., Fathi, H., & Eshghabadi, F. (2009). Criterion Vulnerability Assessment Earthquake about City, Case Study Region10 Tehran, Journal of Researches Human geography, No 68, 1-20.   Azizi, M. M., & Akbari, R. (2008). Urbanism Regarding about Evaluation Cities Vulnerability from Earthquake, Journal of beautiful Arts, No34, 25-36.   Chen, Ty., & Tsao, CY. (2008). the interval-valued fuzzy TOPSIS method and experimental analysis, Fuzzy Sets and Systems 159, 1410 – 1428.   Ebert, A., Kerle, N., & Stein, A. (2009). Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data, Nat Hazards 48, 275–294.   Giovinazzi, S., Lagomarsino, S., & Pampanin, S. (2006).Vulnerability Methods and Damage Scenario for Seismic Risk Analysis as Support to Retrofit Strategies: a European Perspective, NZSEE Conference.   Houser, G., & Egenning, P. C. (1993). Risk analysis, First Edition Earthquake Engineering Research Institute. Oakland, USA.   Koorepazan dezfuli, A. (2008). Principles of Fuzzy Set theory and its Applications in the Modeling of Water Engineering Problems, edition2, Publishing of collegiate jahad unit Amirkabir Industrial.   Lantada, N., Pujades, L., & Barbat, A. (2009). Vulnerability index and capacity spectrum based methods for urban seismic risk evaluation. A comparison, Nat Hazards 51:501–524.   Milutinovic, Z., & Trendafiloski, G. (2003). an advanced approach to earthquake risk scenarios with applications to different European towns, RISK_UE Contract: EVK4-CT-2000-00014.   Saaty, T. L. (2008). Relative Measurement and Its Generalization in Decision Making, RACSAM, VOL. 102 (2).   Tang, A., & Wen, A. (2009). an intelligent simulation system for earthquake disaster assessment, Computers & Geosciences 35, 871– 879.   Tavakoli, B., & Tavakoli, S. (1993). Estimating the Vulnerability and Loss functions of Residential Buildings, Journal of the International Society for the Presentational Mitigation of Natural Hazard 7(2).   UNDP. (2004). Reducing Disaster Risk, A Challenge for Development.   Zangiabadi, A., mohammadi, J., safaii, H., & ghaederrahmati, S. (2007). Analysis Vulnerability Indexes urban Settlements against Earthquake risk, Case Study City Settlements Esfahan, Geography and development, No 12, 61-79.  

کلیدواژه‌ها [English]

  • vulnerability
  • Earthquake
  • District Number 9 of Tehran’s City Hall
  • Intuitionistic Fuzzy
  • TOPSIS Fuzzy Model