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بررسی و پیشبینی میزان بخشهای اثر زیستمحیطی در پرورش ماهیان گرمآبی استان گیلان با استفاده از روش سامانهی استنتاج عصبی-فازی تطبیقی | ||
| مهندسی بیوسیستم ایران | ||
| مقاله 19، دوره 50، شماره 3، آبان 1398، صفحه 717-735 اصل مقاله (1.37 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijbse.2019.254169.665047 | ||
| نویسندگان | ||
| اسداله اکرم* 1؛ بهزاد الهامی2؛ مجید خانعلی3 | ||
| 1دانشیار گروه مهندسی ماشین‌های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج. | ||
| 2دانشجوی دکتری مکانیزاسیون کشاورزی، دانشکده مهندسی زراعی و عمران روستایی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، اهواز | ||
| 3استادیار گروه مهندسی ماشین‌های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج | ||
| چکیده | ||
| در سالهای اخیر ارزیابی چرخه حیات به ابزار مناسبی جهت بررسی و تعیین میزان اثرات زیستمحیطی در تولیدات کشاورزی و صنایع غذایی تبدیل گردیده است؛ به طوری که در بسیاری از کشورها از آن به عنوان ابزاری برای تصمیمگیریهای کلان در برنامهریزی تولیدات کشاورزی استفاده میشود. با در نظر گرفتن ماهی به عنوان تأمینکنندهی بخش مهمی از پروتئین مورد نیاز بشر، پژوهشی بر روی بررسی شاخصهای زیستمحیطی (بخشهای اثر) در سامانهی تولید ماهیان گرمآبی در استان گیلان انجام گرفت. اطلاعات مربوط به میزان تولید نهادههای مصرفی (انتشارات غیر مستقیم) و مصرف آنها در استخرها (انتشارات مستقیم) از طریق 57 پرسش‌نامه‌ی نمونهگیری شده و پایگاه دادهای اکواینونت جمعآوری گردید. نتایج نرمالسازی بخشهای اثر نشان داد که شاخصهای مسمومیت آبهای آزاد، اسیدی شدن و مسمومیت آبهای سطحی بیشترین مقادیر آلایندههای زیستمحیطی را به ترتیب با مقادیر 7-10×17/5، 7-10×95/1، 7-10×98/0 به خود اختصاص دادهاند. انتشارات ناشی از تولید نهادهی الکتریسیته (انتشارات غیر مستقیم) و آلایندههای منتشر شده از مصرف سه نهادهی الکتریسیته، کودهای شیمیایی و کود دامی (انتشارات مستقیم) بیشترین سهم از میزان آلایندگی را بر روی شاخصهای مذکور داشتند. همچنین مقایسهی نتایج روشهای طراحی انفیس نشان داد که روش خوشهبندی فازی 8 خوشه‌ای نسبت به روشهای جداسازی شبکهای و خوشهبندی کاهشی، با دقت بالاتر و خطای کمتری قادر به پیشبینی مقادیر بخشهای اثر زیستمحیطی میباشد. | ||
| کلیدواژه‌ها | ||
| ارزیابی چرخه‌ی حیات؛ خوشهبندی فازی؛ شاخص نهایی زیستمحیطی؛ مسمومیت آبهای آزاد | ||
| عنوان مقاله [English] | ||
| Investigating and Predicting the Amount of Environmental Impact in Breeding Warm Water Fish in Guilan Province using Comparative Neuro-Fuzzy Inductive Inference System | ||
| نویسندگان [English] | ||
| Asadollah Akram1؛ behzad elhami2؛ Majid Khanali3 | ||
| 1Associate Prof., Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran. | ||
| 2PhD. Student of Agricultural Mechanization, Department of Agricultural Machinery Engineering, Agriculture Science and Natural Resources University of Ahvaz | ||
| 3Assistant Prof., Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran. | ||
| چکیده [English] | ||
| In recent years, life cycle assessment (LCA) approach is turned to be a useful tool for investigating and determining the environmental impacts of agricultural products and food industry, so that in most countries, it is used as a tool for decision-making in agricultural production planning. Considering the fish as an important part of the human protein required, an investigation was carried out on the environmental indicators (impact categories) in the system of warm water production in Guilan province. Data related to the production value of inputs (indirect emissions) and their’s consumption (direct emissions) in ponds were collected using sampled questionnaire and Ecoinvent database. The results of normalization showed that marine aquatic ecotoxicity (MAET), acidification (AC) and Freshwater Aquatic Ecotoxicity (FAET) have the highest amount of environmental pollutants as 5.17×10-7, 1.95×10-7 and 0.98×10-7, respectively. Emissions resulting from the production of electricity (direct emissions) and pollutants released from the use of electricity, chemical fertilizers and manure (indirect emissions) have the highest share of pollution on these indicators. Also, the comparison of the results of ANFIS design methods showed that the fuzzy C-means method with 8 clusters, with higher accuracy and less error, was able to predict the values of environmental impact categories. | ||
| کلیدواژه‌ها [English] | ||
| Life Cycle Assessment, fuzzy C-meansو Final Environmental Index, Marine Aquatic Ecotoxicity | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 283 تعداد دریافت فایل اصل مقاله: 383 |
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