Optimal irrigation of cotton in Northern Greece using AquaCrop: A multi-year simulation study

Optimal irrigation of cotton in Northern Greece using AquaCrop: A multi-year simulation study
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使用 AquaCrop 优化希腊北部棉花灌溉:多年模拟研究

DOI:
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发表时间:
2016
期刊:
影响因子:
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通讯作者:
I. Tsakmakis
I. Tsakmakis
中科院分区:
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文献类型:
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作者:
R. Linker;G. Sylaios;I. Tsakmakis

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通过对希腊北方棉花种植的模拟,开发并测试了一种优化灌溉的混合方法。在这个季节的任何一天,剩下的种植日在概念上分为两部分:即将到来的五天和季节的其余部分。假设在第一阶段有准确的天气预报,在此期间只能进行一次灌溉活动。对于第二个时期,平均历史天气数据被用作长期预测,而不是直接优化灌溉事件,决策变量对应于一些土壤水位,灌溉将被触发和相应的灌溉量。这种混合方法确保了决策变量的数量保持可接受的小,以便该过程可以在赛季期间在真实的时间内重复计算。
A hybrid approach for optimizing irrigation was developed and tested via simulation of cotton cultivation in Northern Greece. At any given day during the season the remaining cultivation days were conceptually split into two parts: the five coming days and the rest of the season. Accurate weather forecasts were assumed to be available for the first period, during which only one irrigation event could take place. For the second period, average historical weather data were used as long-term forecasts, and rather than optimizing directly the irrigation events, the decision variables corresponded to a number of soil water levels at which irrigation would be triggered and the corresponding irrigation amounts. This hybrid approach ensured that the number of decision variables remained acceptably small so that the procedure can be computed repeatedly in real time during the season.