تعیین الگوی بهینه کشت ارقام برنج در راستای پایداری کشاورزی با تاکید بر کاهش انتشار گازهای گلخانه‌ای (مطالعه موردی: بیشه جنوبی شهرستان بابل)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری رشته اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری.

2 استادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری. ایران

3 استاد، گروه اقتصاد کشاورزی، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع‌طبیعی ساری

چکیده

در این مطالعه ابتدا از روش اپسیلون محدودیت برای حل مدل برنامه‌ریزی ریاضی چندهدفه شامل سه هدف حداکثرسازی سود زارعین منطقه(هدف اقتصادی)، کاهش مصرف آب و کاهش انتشار گازهای گلخانه‌ای ناشی از مصرف کود شیمیایی و سوخت فسیلی (اهداف محیط‌زیستی) استفاده شد و نهایتا با استفاده از روش حداکثر حداقل-ها بهترین جواب از میان مجموعه پارتو انتخاب گردید. جامعه آماری پژوهش، زارعین منطقه بیشه جنوبی شهرستان بابل می‌باشند. داده‌های مربوطه از اداره جهاد کشاورزی منطقه و سازمان ساتبا، در سال 1400 جمع‌آوری شد، و با استفاده از نرم‌افزار matlab بهینه‌سازی مدل انجام شد. نتایج نشان داد که الگوی پیشنهادی بهینه به‌طور مناسب توانسته است اهداف مطالعه را تامین نماید. در وضعیت بهینه با اجرای الگوی پیشنهادی، سود زارعین منطقه به‌ازای هر هکتار از 900/621 به 212/710 میلیون ریال نسبت به وضعیت فعلی در کل فصل زراعی، افزایش می‌یابد. همچنین نتایج مدل، مقدار بهینه مصرف انرژی را 2864 کیلووات ساعت به صورت مصرف توام (85 درصد انرژی فسیلی و 15 درصد انرژی خورشیدی) در پمپاژ آب آبیاری پیشنهاد داد. مقدار بهینه مصرف آب نیز، 12553 مترمکعب برهکتار بدست آمد، که نسبت به وضعیت فعلی، 05/0 صرفه‌جویی در مصرف را نشان می‌دهد. در بخش آخر نتایج، با انتخاب الگوی بهینه پیشنهادی و سیستم پمپ ترکیبی فسیلی-خورشیدی در آبیاری اراضی منطقه نسبت به شرایط فعلی، 10/0 درصد از میزان انتشار گازهای گلخانه‌ای کاهش یافته است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Determining the optimal pattern of rice cultivation in the direction of agricultural sustainability with an emphasis on reducing greenhouse gas emissions (Case study: South Bisheh of Babol city)

نویسندگان [English]

  • Khadijeh Abdi Rokni 1
  • somayeh shirzadi laskookalayeh 2
  • Hamid Amir nejad 3
1 PhD Student of, Sari Agricultural Sciences and Natural Resources University.
2 Asistant Prof, Faculty of Agricultural Engineering, Agricultural Sciences and Natural Resources University Sari. Iran
3 Professor of Agricultural Economics, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University
چکیده [English]

In this study, first, the epsilon constraint method is used to solve the multi-objective mathematical programming model, including three objectives: maximizing the profit of the farmers in the region (economic objective), reducing water consumption and reducing greenhouse gas emissions due to the use of chemical fertilizers and fossil fuels (environmental objectives). ) was used and finally, using the max-min method, the best solution was selected from the Pareto set. The statistical population of the research are the farmers of South Bisheh region of Babol city. The relevant data were collected from the Regional Agricultural Jihad Department and the Satba Organization in 1400, and the model was optimized using Matlab software. The results showed with the implementation of the proposed model, the profit of the farmers of the region will increase from 621.900 to 710.212 million Rials per hectare compared to the current situation in the entire cropping season. Also, the results of the model suggested the optimal amount of energy consumption of 2864 kilowatt hours in the form of combined consumption (85% of fossil energy and 15% of solar energy) in irrigation water pumping. The optimal amount of water consumption was also 12553 cubic meters per hectare, which shows a savings of 0.05 compared to the current situation. In the last part of the results, by choosing the optimal cultivation pattern and the combined fossil-solar pump system in the irrigation of the region's lands, compared to the current conditions, the amount of greenhouse gas emissions has been reduced by 0.10%.

کلیدواژه‌ها [English]

  • Epsilon constraint method
  • Rice cultivars
  • Sustainability of agriculture
  • Optimal energy portfolio
  • Water and energy management
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