بهینه‌سازی الگوی تحویل آب در سناریوهای کاهش تخصیص آب شبکه آبیاری زرینه‌رود با استفاده از الگوریتم PSO

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته دکتری آبیاری و زهکشی، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران

2 دانشیار، گروه آبیاری و آبادانی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، تهران، ایران

3 استاد، گروه سازه‌های هیدرولیکی، دانشکده کشاورزی، دانشگاه تربیت مدرس، تهران، ایران

چکیده

بهینه‌سازی عملکرد بهره­برداری شبکه­های آبیاری سطحی از ملزومات اساسی افزایش بهره­وری مصرف آب در حوضه دریاچه ارومیه برای احیاء آن است. الگوریتم­های متعددی برای بهینه­سازی توسعه یافته­اند که در این تحقیق، الگوریتم فراکاوشی رفتار جمعی ذرات با قابلیت هوش­جمعی، حافظه ذرات و نیز سرعت بالای همگرایی، برای بهینه­سازی الگوی تحویل آب انشعابات ساحل چپ شبکه زرینه­رود طی دو سناریوی کمبود آب، بکار گرفته شد. در سناریوی اول امکان بهبود زمانی و مکانی الگوی تحویل آب برای اجرایی نمودن مصوبه کاهش 40 درصدی مصارف آب کشاورزی ستاد احیاء دریاچه ارومیه؛ و در سناریوی دوم شرایط تأمین کمینه 70 و بیشینه 90 درصد نیاز آبی شبکه مدل شده است. مقادیر مناسب پارامترهای مدل با تحلیل حساسیت تعیین گردید، و در مدلسازی دو سناریو استفاده شد. نتایج بدست آمده از سناریوی اول بیانگر تأمین 66 درصد نیاز آبی، ارتقاء 9 درصدی شاخص راندمان، و افزایش 30 و 38 درصدی شاخص‌های پایداری و عدالت توزیع است. در سناریوی دوم، 82 درصد نیاز آبی تأمین شده و شاخص‌های راندمان، پایداری و عدالت توزیع به ترتیب تا 25، 33 و 42 درصد افزایش یافتند. سناریوی دوم بدلایل کاهش تدریجی آب تحویلی و بهبود مقادیر شاخص­های عملکرد، با حفظ آستانه اعتمادپذیری و اطمینان بیشتر بهره‌برداران شبکه، گزینه برتر این تحقیق می‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Optimization of Water Delivery Schedule in Reduced Allocation Scenarios of Zarinehroud Irrigation Network Using PSO Algorithm

نویسندگان [English]

  • Saifollah Khodadadi 1
  • Mehdi Yasi 2
  • Javad Monem 3
1 Ph.D. Graduate of Irrigation and Drainage, Department of Water Engineering, Urmia University, Urmia, Iran.
2 Associate Professor, Department of Irrigation and Reclamation Engineering, College of Agricultural Engineering and Technology, University of Tehran, Tehran, Iran.
3 Professor, Department of Hydraulic Structures, Tarbiat Modares University, Tehran, Iran.
چکیده [English]

Optimization of operational performance in irrigation networks is essential for increasing water consumption efficiency in Urmia Lake Basin and its restoration. Various optimization algorithms have been developed. In this research, PSO algorithm with the ability of swarm intelligence and convergence speed was used to optimize the water delivery schedule of Zarinehroud left bank Irrigation Network in two reduced water allocation scenarios. The first scenario follows the Urmia Lake Restoration Plan (ULRP) based on the reduction of agricultural water consumption by 40%; and the second scenario focuses on the delivery of 70% to 90% of network water demand. Suitable values of model parameters have been determined by sensitivity analysis, and used in the modeling of two scenarios. Results of the first scenario indicated that, with supplement of 66% of water demand, the feasibility of 9% increase in water efficiency, 30% and 38% increase in the stability and adequacy indices can be achieved, respectively. In the second scenario, with 82% supply of water demand; the efficiency, stability and adequacy indices could be increased by 25%, 32% and 42%, respectively. The second scenario is recommended due to the gradually reduction of water allocation and greater values of the performance indices, while preserving the dependability and trust of water-users in the Zarinehroud irrigation network.

کلیدواژه‌ها [English]

  • Water Delivery Schedule
  • Particle Swarm Optimization (PSO) algorithm
  • Zarinehroud irrigation network
  • Urmia Lake

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