نوع مقاله : کامل علمی - پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد منابع آب، گروه علوم و مهندسی آب، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران.
2 استادیار، گروه علوم و مهندسی آب، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران.
3 بخش آبیاری و فیزیک خاک، موسسه تحقیقات خاک و آب، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Global warming has increased after the industrial revolution, but due to human activities and environmental degradation, this phenomenon has received more natural attention in recent years. This trend in the coming years may be influenced by the scenario of continued increase. Each of these scenarios is a prediction of the amount of carbon dioxide production in the world. The factors of this phenomenon, the crop yield and growth change under the influence of this phenomenon and this can have an environment for the production of agricultural products. Considering conducting experiments to determine the extent of changes in crop growth and yield in the future, it is necessary to use crop simulation models. The AquaCrop model is one of the crop models that are used for the simulation of crops due to its user-friendliness, high accuracy and comparability. This model is being considered due to its acceptability and user-friendliness. This model has the ability to simulate different conditions in the field and is used for the use of agricultural crops. Agricultural crops including corn, canola, wheat, saffron and Quinoa is simulated by this crop model. Sugarbeet becomes one of the strategic plants in Iran, whose yield is dependent on irrigation water and the need for fertilizer. All data was taken from a research farm located in the research station of Faizabad, Qazvin, Iran, during three agricultural years. The study factors in this research include irrigation management in four rounds (I1: 6, I2: 9, I3: 12 and I4: 15 days) and the amount of fertilizer in three levels (F0: 21, F1: 30 and F2: 39). In this research, the LARS-WG model for Qazvin meteorological simulations under optimistic (SSP2-4.5) and pessimistic (SSP5-8.5) scenarios using two atmospheric general circulation models GFDL-ESM4 (G model) and MRI_ESM2-0 (M model) was used during two time periods 2026-2045 (near future) and 2046-2099 (far future). AquaCrop model was used to simulate sugarbeet yield and water productivity. Some statistical criteria were applied to evaluate LARS-WG and AquaCrop models. Based on climate change scenarios and growth simulation with Aquacrop model, the results showed that there is between 40% and 70% difference between yield potential and actual yield. Therefore, to solve this problem, it is suggested that the density of cultivation should be increased compared to the current conditions, so that by reducing the distance between potential and actual evaporation-transpiration, the yield gap caused by this issue can be solved.
کلیدواژه‌ها [English]
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