پیشنهاد شبکه هوشمند ارزیابی شاخص آسیب‌پذیری لرزه‌ای شبکه جمع‌آوری فاضلاب در بستر GIS (مطالعه موردی: شهرکرد)، مهندس سید محمد هاشمی فشارکی

پیشنهاد شبکه هوشمند ارزیابی شاخص آسیب‌پذیری لرزه‌ای شبکه جمع‌آوری فاضلاب در بستر GIS (مطالعه موردی: شهرکرد)

مقاله 3، دوره 26، شماره 6، بهمن و اسفند 1394، صفحه 5-15  

نوع مقاله: مقاله پژوهشی

نویسندگان

محمد علی رهگذر  ¹؛ محمد رضا زارع²؛ سید محمد هاشمی فشارکی³

¹استادیار، دانشکده حمل و نقل، دانشگاه اصفهان

²استادیار، دانشکده فنی و مهندسی، دانشگاه اصفهان

³کارشناسی ارشد مهندسی زلزله اصفهان

چکیده

شبکه جمع‌آوری فاضلاب به موجب پراکندگی و قرارگیری در سطح وسیعی از گستره زمین، در هنگام زلزله در معرض آسیب‌های فراوانی قرار دارد. این آسیب‌دیدگی علاوه بر زیان مستقیم به شبکه، پیامدهایی همچون آلودگی محیط زیست را نیز به‌دنبال دارد. در هنگام زلزله‌های بزرگ، تعمیرات خرابی‌های متعدد در شبکه از جمله شکست لوله‌ها و تخریب اتصالات آنها بسیار پرهزینه و زمان‌بر است. بنابراین از دیدگاه مدیریت ریسک زلزله، وجود ابزاری هوشمند که قادر به ارزیابی آسیب‌پذیری لرزه‌ای برای هر نقطه از شبکه جمع‌آوری فاضلاب به‌عنوان یک شریان‌ حیاتی و در هر لحظه از زمان باشد، بسیار با اهمیت است. در این مقاله با استفاده از "روش وزندهی و ارائه الگوریتمی هوشمند تحت سیستم اطلاعات جغرافیایی GIS که قابلیت به‌روز رسانی اطلاعات ورودی شبکه را بسته به زمان و مکان دارا باشد، به ارزیابی شاخص آسیب‌پذیری لرزه‌ای شبکه‌های عظیم جمع‌آوری فاضلاب شهری پرداخته شد. به‌عنوان یک مطالعه موردی، نقشه‌های پهنه‌بندی شاخص آسیب‌پذیری لرزه‌ای شبکه جمع‌آوری فاضلاب شهرکرد، منطقه‌ای با خطر لرزه‌ای بالا، در بستر GIS ارائه شد. نتایج نشان می‌دهد که شاخص آسیب‌پذیری لرزه‌‌ای خطوط لوله‌ فاضلاب شهرکرد در حد کم و متوسط است و در جنوب شهرکرد به‌خصوص در بافت قدیمی شهر که لوله‌های آن ترد است، از دیگر نقاط بیشتر است.

کلیدواژه‌ها

شاخص آسیب‌پذیری لرزه‌ای؛ شبکه هوشمند؛ شبکه جمع‌آوری فاضلاب؛ روش وزندهی؛ سیستم اطلاعات جغرافیایی GIS؛ شهرکرد

موضوعات

استانداردها و مقررات

عنوان مقاله [English]

An Intelligent Network Proposed for Assessing Seismic Vulnerability Index of Sewerage Networks within a GIS Framework (A Case Study of Shahr-e-Kord)

نویسندگان [English]

Mohamadali Rahgozar¹؛ Mohammad Reza Zare²؛ Seyyed Mohammad Hashemi Fesharaki³

¹Ass. Prof., Faculty of Transportation, University of Isfahan, Isfahan

²Ass. Prof., Faculty of Engineering, University of Isfahan, Isfahan

³MSc of Earthquake Engineering, Isfahan

چکیده [English]

Due to their vast spread, sewerage networks are exposed to considerable damages during severe earthquakes, which may lead to catastrophic environmental contamination. Multiple repairs in the pipelines, including pipe and joint fractures, could be costly and time-consuming. In seismic risk management, it is of utmost importance to have an intelligent tool for assessing seismic vulnerability index at any given point in time for such important utilities as sewerage networks. This study uses a weight-factor methodology and proposes an online GIS-based intelligent algorithm to evaluate the seismic vulnerability index (VI) for metropolitan sewerage networks. The proposed intelligent tool is capable of updating VI as the sewerage network conditions may change with time and at different locations. The city of Shahr-e-Kord located on the high risk seismic belt is selected for a case study to which the proposed methodology is applied for zoning the vulnerability index in GIS. Results show that the overall seismic vulnerability index for the selected study area ranges from low to medium but that it increases in the southern parts of the city, especially in the old town where brittle pipes have been laid

کلیدواژه‌ها [English]

Seismic Vulnerability Index, Intelligent network, Sewerage Network, Weight-factor Method, Geographic information system (GIS), shahr-e-kord

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