مدل کمی بهره‌برداری تلفیقی بهینه از منابع آب‌های سطحی و زیرزمینی دشت مهاباد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد خوی، خوی، ایران

2 دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد مراغه، مراغه، ایران

چکیده

بر اساس آمار و اطلاعات موجود و با توجه به رشد جمعیت و همچنین توسعه روزافزون کشاورزی، یک روند صعودی در برداشت از منابع آب‌های سطحی و زیرزمینی در دشت‌های مختلف کشور از جمله مهاباد برای تأمین نیاز آبی منطقه وجود دارد. استفاده بهینه تلفیقی از منابع آب‌های سطحی و زیرزمینی یکی از راه‌های فراهم آوردن این نیاز آبی در مواقع بحران و خشکسالی است. در این تحقیق یک مدل مدیریتی بر مبنای تکنیک‌های مؤثر بهینه‌سازی و شبیه‌سازی برای حل مسئله بهینه‌سازی توسعه داده شده است. ابتدا تغییرات سطح ایستابی آب‌های زیرزمینی دشت مهاباد با استفاده از نرم‌افزار GMS شبیه‌سازی شد. سپس بر اساس نتایج بدست آمده، از این شبیه‌سازی، شبکه عصبی مصنوعی آموزش داده شد، تا در سیستم شبیه‌سازی – بهینه‌سازی مورد استفاده قرار گیرد. جهت حل مسئله بهینه‌سازی نیز از الگوریتم ژنتیک استفاده گردید. نتایج بدست آمده حاکی از قدرت و کارایی مدل در حل مسائل بزرگ‌مقیاس و بهره‌برداری تلفیقی بهینه از منابع آب‌های سطحی و زیرزمینی دشت مهاباد است. بر اساس نتایج بدست آمده از تحقیق و اجرای مدل کمی بهره‌برداری تلفیقی بهینه، سهم تقریبی آب تأمینی از منابع آب، به ترتیب 13/5 درصد مربوط به آب‌های سطحی و 86/5 درصد مربوط به آب‌های زیرزمینی است. بنابراین نیاز آبی منطقه باید بر اساس این درصدها تأمین گردد، تا منابع آب در حالت تعادل قرار گیرد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Quantitative Model of Optimal Conjunctive use of Mahabad Plain’s Surface and Underground Water Resources

نویسندگان [English]

  • E. valizadegan 1
  • S. Yazdanpanah 2
1 Faculty of Engineering, Islamic Azad University, Khoy Branch, Khoy, Iran
2 Faculty of Engineering, Islamic Azad University, Mragheh Branch, Maragheh, Iran
چکیده [English]

According to available information and the population growth as well as the ever-increasing development of agriculture, there is an upward trend in withdrawals from surface water and groundwater resources in different regions of the country such as Mahabad to provide water demand for the region. The optimal conjunctive use of surface and groundwater resources is one way to providing the water demands in crisis and drought situations. In this study, a management model based on effective techniques of optimization and simulation has been developed to solve the optimization problem. Variation of groundwater table level in Mahabad plain was simulated using GMS software initially. Then based on the results of this simulation, artificial neural network was trained to use in simulate- optimization system. Genetic algorithm was used to solve the optimization problem. The results indicate that this model is powerful and effective for solving large-scale problems and optimal conjunctive use of surface water and groundwater resources of Mahabad. Based on the results of the research and running of the model, the approximate share of water supply of water resources, is respectively 13.5 and 86.5 percent of surface water and groundwater resources.

کلیدواژه‌ها [English]

  • Conjunctive use
  • Surface water
  • Groundwater
  • genetic algorithm
  • GMS
  • artificial neural network
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