دانلود مقاله ISI انگلیسی شماره 43743
عنوان فارسی مقاله

یک مدل شبیه سازی - بهینه سازی پویا برای مدیریت تطبیقی سیستم توزیع آب شهری تهدید آلودگی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43743 2015 13 صفحه PDF سفارش دهید 9600 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A dynamic simulation–optimization model for adaptive management of urban water distribution system contamination threats
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Soft Computing, Volume 32, July 2015, Pages 59–71

کلمات کلیدی
محاسبات تکاملی - سیستم توزیع آب - آلوده شدن - دینامیک سیستم - بهینه سازی پویا - مدیریت اضطراری
پیش نمایش مقاله
پیش نمایش مقاله یک مدل شبیه سازی - بهینه سازی پویا برای مدیریت تطبیقی سیستم توزیع آب شهری تهدید آلودگی

چکیده انگلیسی

Urban water distribution systems hold a critical and strategic position in preserving public health and industrial growth. Despite the ubiquity of these urban systems, aging infrastructure, and increased risk of terrorism, decision support models for a timely and adaptive contamination emergency response still remain at an undeveloped stage. Emergency response is characterized as a progressive, interactive, and adaptive process that involves parallel activities of processing streaming information and executing response actions. This study develops a dynamic decision support model that adaptively simulates the time-varying emergency environment and tracks changing best health protection response measures at every stage of an emergency in real-time. Feedback mechanisms between the contaminated network, emergency managers, and consumers are incorporated in a dynamic simulation model to capture time-varying characteristics of an emergency environment. An evolutionary-computation-based dynamic optimization model is developed to adaptively identify time-dependant optimal health protection measures during an emergency. This dynamic simulation–optimization model treats perceived contaminant source attributes as time-varying parameters to account for perceived contamination source updates as more data stream in over time. Performance of the developed dynamic decision support model is analyzed and demonstrated using a mid-size virtual city that resembles the dynamics and complexity of real-world urban systems. This adaptive emergency response optimization model is intended to be a major component of an all-inclusive cyberinfrastructure for efficient contamination threat management, which is currently under development.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.