کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8875435 1623680 2018 35 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of different MOEAs for rehabilitation evaluation of Urban Stormwater Drainage Systems - Case study: Eastern catchment of Tehran
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
Assessment of different MOEAs for rehabilitation evaluation of Urban Stormwater Drainage Systems - Case study: Eastern catchment of Tehran
چکیده انگلیسی
Design/rehabilitation of urban stormwater drainage systems has become a challenging issue due to increasing frequency and severity of floods in urbanized areas. Optimization frameworks can provide a proficient computational tool for stormwater management. In this study, using four different optimization algorithms and EPA-SWMM (Environmental Protection Agency -StormWater Management Model) software, a coupled numerical and optimization model was developed to rehabilitate the drainage system in eastern Tehran, Iran. The current drainage network suffers from a significant lack of hydraulic capacity. Thus, combinations of relief tunnels and/or storage units were evaluated and optimal rehabilitation strategies were suggested according to minimizing conflicting objective functions of costs and flooding. Results have revealed that AMALGAM (A Multi-ALgorithm, Genetically Adaptive Multi-objective) outperformed three other algorithms, NSGA-II (Non-dominated Sorting Genetic Algorithm-II), NSHS (Non-dominated Sorting Harmony Search), and NSDE (Non-dominated Sorting Differential Evolution) for the evaluation of rehabilitation of Urban Stormwater Drainage Systems (USDSs) in terms of convergence and diversity criteria.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydro-environment Research - Volume 21, October 2018, Pages 76-85
نویسندگان
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