The Modeling of Human Mortality in Nightly Earthquake Scenario in Zone 1 of the City of Ahwaz

Document Type : Research Article

Authors

Shahid Chamran University of Ahwaz

Abstract

1. Introduction
Usually the major human casualties caused by the earthquake, are the damages related to buildings and structures. According to estimates the more than 75 percent of deaths and casualties began to collapse (Lantana, 2008). Whereas the damage and human losses range from minor injuries to death. These two factors are important characteristics of intensity earthquake (Coburn et al., 2002). Earthquake vulnerability of buildings can be termed as mount of damage induced in the building due to earthquake. Vulnerability is expressed on a scale of 0 to 1, where 0 is no damage and 1 defines complete destruction. It can be expressed in various terms like vulnerability tables, fragility curve, response curves, etc. Vulnerability of a building is determined by factors like shape of building, type of building, its construction material, height, design and structure. A building behaves differently based on different intensities of ground motion.
Seismic simulations allow scientists to better understand the distribution of shaking and damage that can accompany earthquakes, including possible future "scenario" earthquakes. The simulations are only as valid as the elements going into the simulations, such as the source and subsurface models. Thus, the recent earthquake provides data to validate methods and models.
2. Materials and methods
Regarding the topic of research, area of study and complicated existence of city as a spatial and social system, use of different methods and techniques with title of Compound Method is essential. In this study, indicators were extracted by Delphi technique and the studying of records. After weighting of parameters by FUSSY-AHP, the selected indicators were converted to distances maps in GIS-SPATIAL ANALYSIS EXTENTION software. Finally, the final map of permeability area in Zone 1 of Ahwaz mega city Were prepared.
The objectives of the study include the following:
To examine the nature and types of road closures in Zone 1 of Ahwaz.
To compute the level of withdrawal of public access in the enclosed neighborhoods of Zone 1 of Ahwaz facing with hazards.
The study area of research is Ahwaz. Ahwaz is a city in the south of Iran. In the 2006 census, its population was 1,432,965, in 796,239 families. Ahwaz has the world's worst air pollution according to a survey by the World Health Organization in 2011. Ahwaz is built on the banks of the Karun River and is situated in the middle of Khuzestan province, of which it is the capital and most populous city. The city has an average elevation of 20 meters above sea level. Ahwaz, being the largest city in the province, consists of two distinctive districts: the newer part of Ahwaz which is the administrative and industrial center, which is built on the right bank of the Karun river while residential areas are found in the old section of the city, on the left bank.
3. Result and discussion
To calculate the human toll, eight criteria were used in the fuzzy logic model. Based on the findings, District 4 is known as the most vulnerable region in the face of a possible earthquake. In this district, mortality potential of accessory buildings and structures loss was predicted about 2579 person.
An important aspect of preparedness for an earthquake is evaluating the building stock particularly in terms of structural vulnerability. While Iran has a National Building Code that takes into account earthquake resistance in the design of buildings, the vast majority of properties do not meet those standards, exposing the occupants to the risk of injury or death arising from the building collapsing in the event of a major earthquake. According to the research area 4 as the most vulnerable region in face of an earthquake is possible. In this area, mortality potential loss of structural buildings and equipment of 2,579 people have been predicted. Old, unstable materials and high density construction are of the most important reasons for this pattern of vulnerability. In this connection, District 5 with low density and new tissue has shown the least amount of casualties. Moreover, the distribution percentage of type of buildings out of 50 samples surveyed is then extrapolated to total number of buildings present in that particular ward.
4. Conclusion
According to research findings in the fuzzy model a major way in which loss of life and injury can be reduced in a major earthquake is by undertaking a nonstructural vulnerability assessment. Based on the findings derived from the analysis of spatial and statistical modeling on the model Coburn, Earthquake Crisis management priorities for reducing the amount of probable losses in the earthquake area is obtained. This involves a visual inspection of each room of a property to identify furniture and fittings that could topple or break in the event of an earthquake and cause injury and/or restrict pressure on external resources. The results derived from the analysis of spatial and statistical modeling based on Coburn, priorities earthquake crisis management to reduce potential earthquake zone 1 of Ahwaz was obtained.

Keywords


ابراهیم‌زاده،عیسی؛ کاشفی دوست،دیمن؛ 1393. مدیریت بحران و مکان یابی بهینه پایگاه‌های اسکان موقت با استفاده از منطق فازی و مدل تحلیل شبکه ای (مطالعه موردی: شهر پیرانشهر). مجله جغرافیا و مخاطرات محیطی، شماره 12، صص87. مشهد
ابوئی اشکذری، علیرضا؛ 1391. مدیریت بحران زلزله با استفاده از سیستم‌های اطلاعات جغرافیایی GIS (نمونه موردی).استاد راهنما: کاظم رنگزن. پایان نامه کارشناسی ارشد دانشگاه شهید چمران اهواز.
احدنژاد روشتی، محسن؛ جلیل‌پور، شهناز؛ 1392. ارزیابی عوامل درونی تاثیرگذار در آسیب‌پذیری ساختمان‌های شهری در برابر زلزله با استفاده از GIS(نمونه موردی: بافت قدیم شهر خوی). فصلنامه آمایش محیط. شماره20. صص52-23. اصفهان.
اسفندیاری، فریبا؛ غفاری گیلانده، عطا و لطفی، خداداد؛ 1393. بررسی توان لرزه‌زایی گسل‌ها و برآورد تلفات انسانی ناشی از زلزله در مناطق شهری مطالعه موردی: شهر اردبیل. پژوهش‌های ژئوموفولوژی کمی. سال دوم. شماره 4. صص 36-17. تهران.
بزرافکن، شهرام؛ نظرپور دزکی، رضا؛ 1393. سنجش خطرپذیری ناشی از زلزله در مناطق نفت‌خیز جنوب با مدل«FAHP» جهت مدیریت بحران (مطالعه موردی: شهرستان مسجد سلیمان). اولین کنفرانس ملی جغرافیا، گردشگری. منابع طبیعی و توسعه پایدار. تهران.
بمانیان، محمد رضا؛ رفیعیان، مجتبی؛ خالصی، محمد مهدی؛ بمانیان، رضا؛ 1391. کاهش خطرپذیری شهر از بلایای طبیعی (زلزله) از طریق برنامه‌ریزی کاربری زمین«مطالعه موردی: ناحیه5 منطقه3 تهران. دوفصلنامه مدیریت بحران. شماره دوم. صص15-5. تهران
رهنمایی،محمد تقی؛ محمدی ده چشمه، مصطفی؛ 1388. تحلیلی جغرافیایی بر نتایج اکولوژیکی ناشی از مهاجرت در شهر اهواز. مجله اطلاعات سیاسی - اقتصادی. شماره 259 و 260 . صص 297. تهران.
عرب‌اله فیروزجاه، علی؛ 1390. نقش طرح‌های توسعه شهری (جامع و تفصیلی) در کاهش آسیب‌پذیری شهر بابل از زلزله. استاد راهنما: ابوالفضل مشکینی. استاد مشاور: مهدی پورطاهری. پایان‌نامه کارشناسی ارشد رشته جغرافیا و برنامه‌ریزی شهری. دانشکده علوم انسانی.دانشگاه تربیت مدرس. تهران.
عزیزی، محمدمهدی؛ اکبری، رضا؛ 1387. ملاحظات شهرسازی در سنجش آسیب پذیری شهرها از زلزله، نشریه هنرهای زیبا. شماره 34. صص36-25.
قدیری، محمود؛ رکن‌الدین افتخاری، عبدالرضا؛ 1392. رابطه ساخت اجتماعی شهرها و میزان آسیب‌پذیری در برابر خطر زلزله (مطالعه موردی: محلات کلان‌شهر تهران). مجله جغرافیا و برنامه‌ریزی محیطی. سال24. شماره 2. صص174-153.اصفهان.
کوهی، محمد؛ 1393. سیستم پشتیبان تصمیم گیری مکانی در مدیریت بحران طبیعی در بخشی از شهر سنندج – استان کردستان. استاد راهنما: دکتر کاظم رنگزن. پایان نامه کارشناسی ارشد سنجش‌از دور و GIS. دانشکده علوم زمین. دانشگاه شهید چمران اهواز.
محمدی ده چشمه، مصطفی؛ 1392. ایمنی و پدافند غیرعامل شهری. انتشارات دانشگاه شهید چمران اهواز. چاپ اول . اهواز.
مشکینی، ابوالفضل؛ قائد رحمتی، صفر؛ شعبان‌زاده نمینی، رضا؛ 1393. تحلیل آسیب‌پذیری بافت شهری در برابر زلزله ( منطقه مورد مطالعه: منطقه دو شهرداری تهران). پژوهش‌های جغرافیای انسانی. دوره 46. شماره4. صص856-843. تهران.
ملکی، سعید؛ مودت، الیاس؛ 1392. ارزیابی و رتبه‌بندی آسیب‌پذیری اجتماعی شهرها در برابر زلزله مدل‌های µD،TOPSIS و GIS (مطالعه موردی: شهر یزد). مجله برنامه‌ریزی و آمایش فضا. شماره3. صص142-127.تهران.
وطنی اسکویی، اصغر؛ 1387. مدیریت بحران و روند ارزیابی ساختمان‌های آسیب دیده از زلزله. مجله فناوری و آموزش. سال سوم. شماره1. صص24-9.تهران.
Ahadnezhad R. M., 2010. Urban Social Vulnerability Assessment against Earthquakes, (Case Study: Zanjan). Urban and Regional Studies. Vol. 2, No. 7.
Ahadnezhad Raveshti, M. M. Gharakhlou & K. Ziyari., 2010. modeling of the vulnerability of building cities for earthquakes using Analytic Hierarchy Process in GIS case study: Zanjan", Journal of Geography and Development, No. 19, Pp. 171-198.
Chitsazan, M; F. Dehghani; F. Rast manesh & Y. Mirzaee., 2012. "municipal solid waste disposal site selection using fuzzy logic and spatial information technologies AHP Fuzzy-AHP (case study: Rāmhormoz) ". Journal of Remote Sensing and GIS in Natural Resource Sciences, Vol. 4, No. 1, Pp.39-55.
Coburn Andrew, Spence, Robin., 2002. Earthquake Protection, second edition John Wiley &son, Ltd.
Consulting Engineers of Fajr, "distressed areas & empowerment of communities in Ahwaz: Lshkrabad, Alavi dormitory, dormitory Tourist", Project Director Mehran Alal hesabi, 2012.
Ebert, A., Kerle, N., Stein, A., 2008. "Urban social vulnerability assessment with physical proxies and spsial metrics derived form air-and spaceborne imagery and gis data ". Journal of Nathazards, 48(2).
FEMA., 2013. Cascadia Subduction Zone Earthquakes: A Magnitude 9.0 Earthquake Scenari. CREW PRESS.
ISDR., 2008. The structure role and mandate of civil protection in disaster risk reduction for south eastern Europe.
Karam, A. & N. Yaghoub Nezhad., "The use of fuzzy logic in assessing the suitability of land for the physical development of the city, Case Study: Karaj Metropolis", Journal of Geography, new era, Vol. 11, No. 36, Pp. 231-249, 2013. [In Persian]
Lantada Nieves, Pujades Luis, Barbat, Alex., 2008. Vulnerability Index and Capacity Spectrum Based Method for Urban Seismic Risk Evaluation, Journal of Nathazards, DOI 10.007/s11069-007-9212-4.
Mansour Naimi, E., "Location of Temporary Settlement during Natural Disasters in Khuzestan-Ahvaz Zone One Using GIS and artificial Intelligence Algorithm ", Supervisor: K. Rangzan, Advisor: M. Kabolizadeh, Master thesis, Faculty of Earth and GIS, martyr University Chamran., 2014. [In Persian]
Rahnama, A & M. Talee., 2012. "Prioritizing Tehran earthquake reconstruction in urban areas to help the fuzzy model & GIS". Journal of Logistics Environment. Volume 5, No. 16, Pp.51-74.
Shibata Akenori., 2006. Estimation of earthquake damage to urban systems, Structural and Control Health Monitoring, 13:454–47.
UN Habitat., 2008. "Enhancing Urban Safety and Security: Global Report on Human Settlements ".
Van den Berg, Leo., 2003. The safe city: safety and urban development in European cities, Ash gate publishing company.
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