| 引用本文: | 玄梓煜,张晓涛,党红凯,等.基于AquaCrop模型的河北平原冬小麦灌溉制度优选研究[J].灌溉排水学报,2025,44(5):10-19. |
| XUAN Ziyu,ZHANG Xiaotao,DANG Hongkai,et al.基于AquaCrop模型的河北平原冬小麦灌溉制度优选研究[J].灌溉排水学报,2025,44(5):10-19. |
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| 摘要: |
| 【目的】评价AquaCrop作物模型对河北平原典型站点冬小麦生长过程模拟的准确性，筛选适宜的冬小麦灌溉制度。【方法】于2022年10月—2023年6月在河北省衡水地区开展冬小麦大田试验，试验共设置了一水（W1）、二水（W2）、三水（W3）和四水（W4）4种灌溉制度，利用田间观测冬小麦生长数据对AquaCrop模型的作物参数进行校准，结合2020—2021年与2022—2023年冬小麦生长及产量数据，进行模型验证与灌溉制度优选。【结果】率定后的AquaCrop模型在模拟冬小麦冠层覆盖度、地上生物量以及土壤含水率方面的效果较好，决定系数（R2）、均方根误差（RMSE）、归一化均方根误差（NRMSE）、纳什系数（EF）以及一致性指数（d）分别＞0.85、＜4.5、＜12、＞0.8和＞0.9；2022年不同处理下冬小麦产量的相对误差（RE）平均值低于2021年。2021年和2022年，W3灌溉制度下冬小麦的水分利用率分别为1.88 kg/m3和2.35 kg/m3。【结论】4种灌溉制度中，W3处理能够有效提高冬小麦的水分利用率与产量，经参数率定优化的AquaCrop模型能够较好地模拟河北平原典型站点冬小麦生长过程，为后续AquaCrop模型应用于河北平原区域尺度模拟提供基础。 |
| 关键词: AquaCrop模型；河北平原；冬小麦；模型验证；灌溉制度 |
| DOI：10.13522/j.cnki.ggps.2024217 |
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| Optimizing irrigation scheduling for winter wheat production in the Hebei Plain using the AquaCrop model |
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XUAN Ziyu, ZHANG Xiaotao, DANG Hongkai, NIU Jun
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1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China;
2. Collaborative Innovation Center for wetland Conservation and Green Development of Hebei Province, Hengshui 053000, China;
3. China Institute of Water Resources & Hydropower Research, National Key Laboratory of Basin Water Cycle Simulation and Control, Beijing 100038, China; 4. National Center of Efficient Irrigation Engineering and Technology Research, Beijing 100048, China;
5. Dryland Farming Institute of Hebei Academy of Agriculture and Forestry Sciences, Hengshui 053000, China
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| Abstract: |
| 【Objective】Reducing groundwater use for irrigation has been a key mandate in the Hebei Plain to promote sustainable agriculture. Improving irrigation water use efficiency is therefore essential to achieving this goal. This study aims to develop a method to optimize irrigation scheduling for winter wheat in this region.【Method】A field experiment was conducted from October 2022 to June 2023 at a winter wheat field in Hengshui City, Hebei Province. Four irrigation schedules were compared: irrigating once (W1), twice (W2), three times (W3), and four times (W4) during the growing season. Experimental data were used to calibrate and validate the AquaCrop model. The calibrated parameters were then applied to optimize irrigation scheduling.【Result】The calibrated AquaCrop model accurately simulated canopy development, above-ground biomass, and soil moisture dynamics. The coefficient of determination (R2), root mean square error (RMSE), normalized RMSE (NRMSE), Nash-Sutcliffe efficiency (EF), and index of agreement (d) between the simulated and measured values all fell within acceptable ranges, with R2＞0.85, RMSE＜4.5, NRMSE＜12, EF＞0.8, and d＞0.9. The average error of the simulated grain yield was higher in 2021 than in 2022. Water use efficiency under the W3 treatment was 1.88 kg/m3 in 2021 and 2.35 kg/m3 in 2022.【Conclusion】Among the four irrigation schedules, W3 (irrigating three times) was the most effective in improving both grain yield and water use efficiency for winter wheat in the Hebei Plain. The calibrated AquaCrop model accurately simulated winter wheat growth and can be used to optimize irrigation scheduling and improve irrigation water use efficiency in this region and other areas with similar environments. |
| Key words: AquaCrop model; Hebei Plain; winter wheat; model validation; irrigation schedule |
