کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8872773 1622872 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of an integrated hydrological-irrigation optimization modeling system for a typical rice irrigation scheme in Central Vietnam
ترجمه فارسی عنوان
توسعه یک سیستم مدل سازی بهینه سازی هیدرولوژی - آبیاری برای یک طرح آبیاری برنج معمولی در ویتنام مرکزی
کلمات کلیدی
مدل هیدرولوژیکی توزیع، روش های آبیاری، مدل بهینه سازی، مرطوب و خشک کردن جایگزین، سیل مداوم، ویتنام مرکزی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی
In Central Vietnam, farmers report an increasing occurrence frequency of water shortages for irrigation during dry seasons. Particularly during the summer-autumn rice season, water is often insufficient to irrigate the entire rice production areas, and thus restricting rice productivity significantly. In this study, a coupled hydrological-irrigation optimization modelling system is developed to optimize irrigation strategies for a typical rice irrigation system in Central Vietnam. The model consists of a fully distributed hydrologic model, which simulates the inflow to a reservoir, and an irrigation model, which optimizes the rice irrigation technology, i.e. Alternate Wetting and Drying (AWD) or Continuous Flooding (CF), irrigation schedule and cropping area under given water constraints. Irrigation strategies are derived based on different initial reservoir water levels at the beginning of the cropping season as well as different maximum water releases. The simulation results show that the initial level of water in the reservoir is crucial: Water levels of less than 90% do not provide sufficient water to irrigate the entire cropping area, whereas a level of 70% restricts the cropping area to 75%. AWD is able to reduce the water input, ranging from 4% to 10%. The adoption of AWD therefore has the potential to irrigate a larger area and may help to increase the profit of the farmers. However, the benefits of AWD can only be achieved after significant investment in the canal system and the reservoir outlet. Since the robustness of the optimization results (performance variability) is crucial for decision support, we estimated the impact of different computing environments on the solutions. Only limited performance variability is found, giving confidence in the robustness of the model for decision support.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural Water Management - Volume 208, 30 September 2018, Pages 193-203
نویسندگان
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