کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6964223 1452301 2013 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options
ترجمه فارسی عنوان
یک سیستم حمایتی تصدی چند منظوره چند منظوره برای ارزیابی ترکیبی از گزینه های کاهش و بهبود سیل
کلمات کلیدی
متخصص چند معیاره، سیستم پشتیبانی تصمیم گیری، کاهش سیل، بازیافت سیل، .چارچوب خالص،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
In this study, we developed an innovative operational decision-support system (DSS) based on flood data and mitigation or recovery options, that can be used by both naïve and expert users to score portfolios of flood mitigation or recovery measures. The DSS combines exposure (i.e., economic, social, or environmental values at risk) and resilience (i.e., protection of the main equilibrium functions of human and physical systems). Experts from different fields define indices and functions, stakeholders express their attitudes towards risk, relative weights, and risk perceptions, and both groups use a shared learning process for risk assessment. The DSS algorithms include the “technique for order performance by similarity to ideal solution” (TOPSIS) and the “basic linguistic term set” (BLTS) methods for heterogeneous multi-criteria multi-expert decision-making. Decisions are illustrated using fixed or bounded values of flood depth, duration, and frequency, with plausible parameter values, for a case study of Cesenatico. The best mitigation option was construction of sand dunes and development of evacuation plans, which achieved 32% of the potential net benefit. The best recovery option was construction of sand dunes and development of evacuation plans and insurance schemes, which achieved 42% of the potential net benefit. Mitigation options outperformed recovery options whenever the relative importance of exposure with respect to resilience was greater than 95%. Sensitivity analysis revealed that the best mitigation option was most robust with respect to flood duration and depth; the best recovery option was most robust with respect to the relative weights attached to economic, social, and environmental factors. Both options were similarly robust with respect to interdependencies between the options.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 49, November 2013, Pages 152-165
نویسندگان
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