Evaluation of Combination Methods for Garlic Evapotranspiration Estimation

Document Type: Full Article


1 Department of Agriculture, University of Gonbad-Kavous, Gonbad-Kavous, I. R. Iran.

2 Department of Water Engineering, Razi University, Kermanshah, I. R. Iran.

3 Department of Water Engineering, BualiSina University, Hamedan, I. R. Iran.


ABSTRACT-Different evapotranspiration (ET) estimation equations having different accuracy with different conditions have been developed for ET estimation. This study will firstly focus on the estimation of 13 climatic equations of daily garlic ET estimation whose  ET is measured by lysimeter to provide information which can be helpful in selecting an appropriate ET equation. The paper aims at showing the potential for combining the result of the best equation to improve the overall accuracy.  The findings  showed that the five equations of FAO 56 Penman–Monteith, ASCE Penman–Monteith, Kimberly Penman, Penman, and FAO-24 Blaney-Criddle were the most accurateequations for estimating garlic ET. The results of these five equations were combined using the three combination methods of Simple Average Method (C-SAM), multiple linear regression (C-MLR) and Adaptive Neuro-Fuzzy Interface System (C-ANFIS).The comparison of combination methods at the test stage showed that although C-SAM used simpler equations than C-MLR but its results were more reasonable than C-MLR. Overall, the results of these two combination methods did not significantly surpass those of the best ET estimation equations (FAO 56 PM); however,C-ANFIS combination method estimated ET better than the other techniques. Based on the results of this study, the C-ANFIS combination method is recommended for estimating garlic ET.


Article Title [Persian]

ارزیابی و مقایسه روش های ترکیبی به منظور پیش بینی تبخیر-تعرق گیاه سیر

Authors [Persian]

  • معصومه فراستی 2
  • امید بهمنی 3
  • جواد سجادی 1
2 دانشگاه رازی،
3 دانشگاه بوعلی سینا،
Abstract [Persian]

چکیده- روش­های زیادی برای تخمین تبخیر-تعرق وجود دارد که نتایج آن­ها در مناطق مختلف، متفاوت است. در این تحقیق ابتدا تبخیر-تعرق گیاه سیر توسط لایسیمتر اندازه­گیری شد و با 13 روش مختلف مقایسه گردید تا بهترین روابط تعیین گردد. هدف اصلی این تحقیق بررسی توانایی روش­های ترکیبی به منظور بهبود دقت تخمین می­باشد. نتایج نشان داد 5 روش پنمن فائو، پنمنASCE ، پنمن کیمبرلی، پنمن و بلانی کریدل دارای بیشترین دقت در تخمین تبخیر-تعرق می‌باشند. نتایج این 5 روش توسط 3 روش ترکیبی میانگین حسابی(C-SAM)، رگرسیون خطی و فازی-عصبی(C-ANFIS) با یکدیگر ترکیب شدند.نتایج این 5 روش با استفاده از سه روش ترکیبی میانگین حسابی، رگرسیون خطی(C-MLR) و فازی-عصبی با یکدیگر ترکیب شدند. مقایسه نتایج در مرحله صحت‌سنجی نشان داد اگرچه روش میانگین حسابی از رابطه‌ی ساده‌تری نسبت به رگرسیون خطی استفاده می‌نماید اما نتایج آن از رگرسیون خطی بهتر می‌باشد. به طور کلی دو روش ترکیبی میانگین حسابی و رگرسیون خطی نتایج را نسبت به بهترین روش تخمین تبخیر-تعرق (پنمن فائو) به مقدار قابل توجهی بهبود نمی‌دهد اما روش ترکیبی فازی-عصبی تبخیر-تعرق را بهتر از روش­های دیگر تخمین می­زند. بر مبنای نتایج این تحقیق روش ترکیبی عصبی-فازی به منظور پیش‌بینی تبخیر-تعرق پیشنهاد می‌گردد.

Keywords [Persian]

  • واژه های کلیدی:
  • روش ترکیبی
  • تبخیر-تعرق
  • گیاه سیر
  • لایسیمتر
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