دانلود مقاله ISI انگلیسی شماره 88502
ترجمه فارسی عنوان مقاله

بهینه سازی سطوح و زمینه های کمک کننده سلول های بی هوازی برای مدیریت کیفیت و رواناب طوفان

عنوان انگلیسی
Optimizing surface and contributing areas of bioretention cells for stormwater runoff quality and quantity management
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88502 2018 14 صفحه PDF
منبع

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

Journal : Journal of Environmental Management, Volume 206, 15 January 2018, Pages 1090-1103

پیش نمایش مقاله
پیش نمایش مقاله  بهینه سازی سطوح و زمینه های کمک کننده سلول های بی هوازی برای مدیریت کیفیت و رواناب طوفان

چکیده انگلیسی

Bioretention cells (BCs) have received increasing attention in stormwater quality and quantity management. Selecting a suitable implementation level of BCs to concurrently achieve multiple performance targets (e.g., first flush reduction, peak flow reduction, and runoff volume reduction) is essential and often challenging. This study proposes a method for formulating suitable sizing criteria for multi-objective stormwater management. The performance of BCs of different areas is assessed first using the Storm Water Management Model (SWMM) and then look-up curves (i.e., the performance target versus the required area of BCs) for each of the performance targets and the multi-objective cases are derived. In some cases, the available area of BCs is limited; to account for the multi-objective management interests and maximize the system-wide benefits, an optimal contributing drainage area for BCs should be selected. A method is therefore developed to solve this optimization problem. A case study of Hong Kong shows that the required area of BCs increases non-linearly with increased performance targets. With a limited area of BCs, larger contributing areas are favorable if no special emphasis is placed on the intensive control of peak flow reduction. Design standards (e.g., the intensity of the design storm), evaluation methods (e.g., depth threshold of the initial portion of runoff), and management preference all exert some influence on the resultant sizing criteria and optimization results. Carefully selecting these catchment-specific evaluation methods should lead to more appropriate sizing criteria and thus promote more efficient BC adoption.