ترکیب بهینه حجم و ظرفیت خروجی حوضچه تاخیری با استفاده از بهینه‌سازی ازدحام ذرات و مدل تحلیلی- احتمالاتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش‌آموخته کارشناسی‌ارشد مهندسی منابع آب، دانشگاه شهید باهنر، کرمان، ایران

2 دانشیار گروه مهندسی آب، دانشگاه تبریز، تبریز، ایران

3 دانشجوی کارشناسی‌ارشد سازه‌های آبی، دانشگاه تبریز، تبریز، ایران

چکیده

حوضچه‌های تأخیری بهترین راه‌کارهای مدیریتی طراحی شده برای کنترل سیلاب شهری هستند و اهداف طراحی آن‌ها عمدتا برای کنترل کمیت و کیفیت سیلاب به‌ازای هزینه کمینه می‌باشد. در این پژوهش، داده‌های طولانی‌مدت بارش ساعتی ایستگاه‌های سینوپتیک کرمان و مهرآباد مورد تجزیه و تحلیل قرار گرفت و سه مشخصه بارش (مدت زمان بارش، حجم بارش و زمان بین دو رخداد بارش) تعیین شد. مدل‌های تحلیلی- احتمالاتی (APM) به‌کار گرفته شد و پارامترهای مدل با استفاده از نزدیک‌ترین ایستگاه باران‌سنجی به منطقه مورد مطالعه تخمین زده شدند. پارامترهای مدل تحلیلی- احتمالاتی، به‌همراه پارامتر حوضه آبخیز، به‌منظور ایجاد ترکیبی بهینه از حجم حوضچه و ظرفیت خروجی مورد استفاده قرار گرفتند. تابع هدف بصورت کمینه سازی هزینه­ها با استفاده از مدل تحلیلی- احتمالاتی و بهینه‌سازی ازدحام ذرات (PSO) تعیین گردید. مقایسه بهینه‌سازی ازدحام ذرات با مدل تحلیلی- احتمالاتی نشان می‌دهد که نتایج PSO برای هزینه متغیرهای طراحی شده از دقت بالاتری برخوردار است و نیازی به اندازه ظرفیت خروجی حوضچه ندارد. همچنین نتایج نشان داد که مدل PSO، مدلی مقرون به صرفه و سریع برای اجرا خواهد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Optimum Combination of Volume and Outlet Capacity of a Detention Pond using Particle Swarm Optimization and Analytical-Probabilistic Model

نویسندگان [English]

  • M Moradi 1
  • A Abbaspour 2
  • S Azizi 3
  • S Darbandi 2
1 M. Sc. Student, Graduate of Water Resources Eng., Dept. of Water Engineering, Shahid Bahonar Univ., Kerman, Iran
2 Associ.. Prof., Dept. of Water Eng., Faculty of Agric., University of Tabriz, Tabriz, Iran
3 M. Sc. Student, Hydraulic Structures, Dept. of Water Eng., Faculty of Agriculture, Univ. of Tabriz, Tabriz, Iran
چکیده [English]

Detention ponds are best management practices designed for the control of urban stormwater and their design objectives are mainly controlling the quantity and quality of urban stormwater at the minimum cost. In this research, long term hourly rainfall data of Kerman and Mehrabad synoptic stations were analyzed and the three rainfall characteristics (rainfall duration, rainfall volume and inter event time duration) were obtained. Analytical probabilistic models (APM) were employed and the model parameters were derived from the closest stations to the study areas. The APM parameters, along with the catchment parameters, were used to develop the optimal combination of the pond volume and outlet capacity. Also, the PSO model led to lower computational   costs in comparison with the APM model. Comparison of the PSO with APM showed that the PSO results were more accurate than the results of APM and there was no need for determination capacity in the forementional model as it did not need outlet size. The PSO model was also found to be more computationally implemented more cheaper and faster.

کلیدواژه‌ها [English]

  • Analytical probabilistic models
  • Detention pond
  • Particle swarm optimization
  • Runoff
  • Urban watershed
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