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  • مدیریت بهینه آب آبیاری با تأکید بر بهره وری اقتصادی: (مطالعه موردی : شبکه آبیاری و زهکشی مارون)

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کد مقاله : JAE-2006-2175 (R2) بازدید : 59 صفحه: 100 - 117

10.30495/jae.2023.25199.2175

نوع مقاله: پژوهشی

مدیریت بهینه آب آبیاری با تأکید بر بهره وری اقتصادی: (مطالعه موردی : شبکه آبیاری و زهکشی مارون)

محورهای موضوعی : فصلنامه علمی -پژوهشی تحقیقات اقتصاد کشاورزی

لیلا امانت بهبهانی 1 , مه نوش مقدسی 2 , حسین ابراهیمی 3 , حسین بابازاده 4

1 - گروه مهندسی علوم آب دانشکده کشاورزی دانشگاه علوم و تحقیقات تهران.تهران
2 - مهندسی آب- دانشکده کشاورزی-دانشگاه اراک
3 - گروه مهندسی آب ، شهر قدس، دانشگاه آزاد اسلامی ،تهران ،ایر ان
4 - گروه مهندسی آب ،علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران

تاریخ دریافت : 1399/03/28 تاریخ پذیرش : 1401/12/20 تاریخ انتشار : 1401/12/01

کلید واژه: "بهره وری اقتصادی تخصیص", "بهینه آب آبیاری", "مدل برنامه ریزی تصادفی چند مرحله ای",

چکیده مقاله :

نیاز به ذخیره آب و افزایش بهره‌وری اقتصادی آب مصرفی در مدیریت منابع آب از اهمیت بسیار بالایی برخوردار است. لذا هدف مطالعه‌ی حاضر تخصیص بهینه آب آبیاری از طریق تعیین الگوهای کشت بهینه‌ی محصولات کشاورزی تحت سناریو‌های جریان مختلف در طول فصول رشد و در شرایط عدم قطعیت با استفاده از روش برنامه‌ریزی تصادفی چند مرحله ای با پارامترهای بازه‌‌ای و مقایسه بهره‌وری اقتصادی مصرف آب در این شرایط با شرایط فعلی می‌باشد. بدین منظور داده‌های هیدرومتری از ایستگاه شبکه مارون طی سالهای 85 الی 95 تهیه گردید. مدل بهینه سازی برای تخصیص و توزیع آب بین فصول مختلف رشد توسعه داده شده است. نتایج نشان داد میانگین شاخص بهره وری اقتصادی در شبکه‌ها برای دو حد پایین و بالا مدل بهینه سازی به ترتیب 16 و 19 درصد بیشتر از میزان این شاخص در مدیریت فعلی ست ضمن اینکه مدیریت مصرف آب با توجه به کاهش 3 و34 درصدی مصرف آب در حد پایین و بالا مدل بهینه سازی نسبت به مدیریت فعلی بهتر صورت گرفته است.

چکیده انگلیسی:

The need to store water and increase the economic productivity of consuming water is very important in water resources management. The aim of this study was to optimally allocate irrigation water by determining the optimal cropping patterns of agricultural products under different inflow scenarios during the growing seasons under uncertainty using a multi-stage stochastic programming model with interval parameters and comparing the economic productivity of water consumption in these conditions with the current conditions. For this purpose, hydrometric data were obtained from Maron Network Station during 2006-2016. An optimization model has been developed for water allocation and distribution between different growing seasons. The results showed that the average economic productivity index in the networks for both lower and upper bounds of the optimization model is 19 and 16 percent respectively higher than the current level in the current management, while water consumption management in the lower and upper bounds of the optimization model is better than the current management due to 34% and 3 % reduction in water consumption.

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