Multi-objective optimization of rice irrigation modes using ACOP-Rice model and historical meteorological data
Multi-objective optimization of rice irrigation modes using ACOP-Rice model and historical meteorological data
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DOI：
10.1016/j.agwat.2022.107823
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发表时间：
2022-10
影响因子：
6.7
通讯作者：
Mengting Chen;R. Linker;Conglin Wu;Hua Xie;Yuanlai Cui;Yufeng Luo;Xinwei Lv;Shizong Zheng
中科院分区：
文献类型：
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作者：
Mengting Chen;R. Linker;Conglin Wu;Hua Xie;Yuanlai Cui;Yufeng Luo;Xinwei Lv;Shizong Zheng
目前中国的水稻生产与降雨利用效率低有关。为了提高降雨利用效率并开发易于农民实施的简单节水灌溉模式，基于 AquaCrop 模型的修改版本（ACOP-Rice 模型），开发了一种新的水稻灌溉模式多目标优化框架。优化重点针对5个生育期触发灌溉的水位，对灌溉频率、降雨利用效率和产量进行了优化。该程序在中国的九个水稻生产案例中进行了测试，这些案例有 60 多年的历史气象数据和灌溉指南。气象资料分析表明，不同地点和生长期的降雨分布差异较大。将遵循当前指南获得的结果与三个最佳解决方案进行比较，这三个最佳解决方案分别对应于最少灌溉事件数、最大降雨利用效率和“平衡”性能，其中对降雨利用效率和灌溉频率分别给予同等关注。总体而言，优化降低了触发灌溉的水深。不同情况下灌溉后的最佳水位有所不同，具体取决于降雨分布、操作限制和生长周期长度的综合影响。与现行指导方针相比，优化后的灌溉方式减少了灌后降雨造成的排水比例。对于灌溉次数最少、降雨利用效率最高和“平衡”性能的最佳解决方案，灌溉次数平均减少了 57%、18% 和 44%（每年减少灌溉次数 9.4、3.0 和 7.4），而降雨利用效率平均提高 5%、19% 和 17%，且产量没有明显损失。
Current rice production in China is associated with low rainfall use efficiency. In order to increase rainfall use efficiency and develop simple water-saving irrigation modes that could be readily implemented by farmers, a new multi-objective optimization framework for irrigation modes of paddy rice was developed, based on a modified version of the AquaCrop model called ACOP-Rice model. The optimization focused on the water level at which irrigation was triggered for five growth periods and the irrigation frequency, rainfall use efficiency and yield were optimized. The procedure was tested on nine rice production cases in China for which over 60 years of historical meteorological data and irrigation guidelines were available. Analysis of the weather data showed that rainfall distribution varied greatly between the different locations and growth periods. The results obtained by following the current guidelines were compared to three optimal solutions that corresponded to minimum number of irrigation events, maximum rainfall use efficiency and “balanced” performance in which equal attention was given to rainfall use efficiency and irrigation frequency, respectively. Overall, the optimization led to lowering the water depth at which irrigation was triggered. The optimal water level after irrigation varied between the different cases, depending on the combined effects of rainfall distribution, operation constraints and length of growth period. Compared to the current guidelines, the optimized irrigation modes reduced the proportion of drainage caused by rainfall after irrigation. For optimal solutions with minimum number of irrigation events, maximum rainfall use efficiency and “balanced” performance, the number of irrigation events was reduced by 57 %, 18 % and 44 % on average (9.4, 3.0 and 7.4 fewer irrigation events per year) while on average rainfall use efficiency improved by 5 %, 19 % and 17 % without significant yield loss.