مدیریت تغذیه مصنوعی آبخوان دشت شهریار با مدل شبیه‌سازی-بهینه‌سازی چند هدفه

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری آبیاری و زهکشی، گروه علوم و مهندسی آب، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

2 استاد، گروه علوم و مهندسی آب، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

3 استادیار، گروه زراعت، واحد کرج، دانشگاه آزاد اسلامی، کرج، ایران.

4 استادیار، گروه علوم و مهندسی آب، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

چکیده

رشد جمعیت و توسعه بخش کشاورزی و صنعت، باعث کاهش چشمگیر منابع آب زیرزمینی شده‌اند. با توجه به این موضوع یکی از راه حل‏های مفید و موثر به منظور بهره‌برداری بهینه از آبخوان‏ها، اجرای سیستم‏های تغذیه مصنوعی می‏باشد. در این تحقیق، با استفاده از مدل ریاضی (HEC- HMS)، روندیابی سیلاب در رودخانه کرج و مخازن سیستم تغذیه مصنوعی انجام شد. سپس حجم ذخیره در مخازن سیستم تغذیه مصنوعی توسط شبکه عصبی مصنوعی (ANN) شبیه‌سازی و در نهایت وارد الگوریتم ژنتیک چند‌هدفه (NSGA-II)، شد. از الگوریتم ژنتیک چند‌هدفه (NSGA-II) به منظور بهره‌برداری بهینه از سیستم تغذیه مصنوعی با توجه به تغییرات سطح بهینه آب زیرزمینی استفاده شد. بر اساس نتایج حاصل شده، مجموع حجم تغذیه بهینه در سال آبی 93 تا 95 توسط سیستم تغذیه مصنوعی برابر 94/97 میلیون متر مکعب شده و نیز تغییرات سطح بهینه آب زیرزمینی به اندازه 62/2 متر افزایش یافته است. بنابراین با تخصیص حجم بهینه از سد انحرافی بیلقان به سیستم تغذیه مصنوعی، حجم تغذیه بهینه و نیز تغییرات سطح بهینه آب زیرزمینی در بازه زمانی مورد نظر، نسبت به شرایط فعلی افزایش یافته‌اند. با توجه به اینکه، حجم تغذیه بهینه و تغییرات سطح بهینه آب زیرزمینی متناسب با یکدیگر می‏باشند، این عملکرد باعث بهبود شرایط آبخوان خواهد شد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Artificial recharge management of Shahriar plain aquifer with multi-objective simulation-optimization model

نویسندگان [English]

  • Nima Salehi-Shafa 1
  • Hossein Babazadeh 2
  • Fayaz Aghayari 3
  • Ali Saremi 4
1 Ph.D. Student of Irrigation and Drainage, Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Professor, Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 Assistant Professor, Department of Agronomy, Karaj Branch, Islamic Azad University, Karaj, Iran.
4 Assistant Professor, Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
چکیده [English]

Population growth and the development of agriculture and industry have led to a significant reduction in groundwater resources. According to this issue, one of the useful and effective solutions for the optimal operation of aquifers is the implementation of artificial feeding systems. In this research, using mathematical model (HEC-HMS), flood routing in Karaj river and artificial feeding system reservoirs was performed. In this study, Considering to the mathematical model (HEC-HMS), flood routing was performed in Karaj river and artificial recharge system reservoirs. Then the storage volume in the artificial recharge system reservoirs was simulated by an artificial neural network and finally entered into a multi-objective genetic algorithm (NSGA-II). Multi-objective genetic algorithm (NSGA-II) was used for optimal utilization of the artificial recharge system , Considering to the optimal groundwater level changes. Based on the results, the total volume of optimal recharge in the desired time period by the artificial recharge system is equal to 97.94 million cubic meters and also optimal groundwater level changes have increased by 2.62 meters. Therefore, by allocating the optimal volume of the Bilqan diversion dam to the artificial recharge system, the optimal recharge volume and also optimal groundwater level changes in the desired time period have increased compared to the current conditions. considering that the optimal recharge volume and optimal groundwater level changes are proportional to each other, this performance will improve the aquifer conditions.

کلیدواژه‌ها [English]

  • Artificial Neural Network
  • Multi-objective Genetic Algorithm
  • Optimal Groundwater Level Changes
  • Optimal Utilization

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مدیریت آب و آبیاری
دوره 12، شماره 1
فروردین 1401
صفحه 99-119

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