| 引用本文: | 王晓东,岳 伟,陈金华,等.安徽沿江江南地区渍害胁迫条件下油菜AquaCrop模型验证[J].灌溉排水学报,2020,39(12):103-110. |
| ,et al.安徽沿江江南地区渍害胁迫条件下油菜AquaCrop模型验证[J].灌溉排水学报,2020,39(12):103-110. |
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| 摘要: |
| 【目的】评估AquaCrop模型在安徽沿江江南地区模拟油菜生长的适用性，探讨其在农业气象业务服务应用中的可行性。【方法】基于作物、气象、土壤等数据以及2010―2013年油菜大田涝渍试验资料对AquaCrop模型参数进行率定及模拟效果检验，并利用油菜观测点的产量数据开展模型在安徽沿江江南地区的适用性验证。【结果】基于参数率定的AquaCrop模型模拟结果显示，油菜生物量和产量的实测值和模拟值平均绝对误差分别为328.1和101.9 kg/hm2，平均相对误差为6.3%和6.8%，模型性能指数为0.89和0.91，模型总体上能较好模拟油菜花期遭受阴雨寡照天气条件下的油菜生物量和产量；此外，AquaCrop模型在安徽沿江江南地区的适用性验证显示宣城农业气象试验站多年油菜产量模拟相对误差为5.2%~8.1%，池州、东至和歙县等观测站产量模拟相对误差为6.8%~11.2%。【结论】虽然个别样本的模拟相对误差超过10%，存在一定程度的偏差，但总体上AquaCrop模型在模拟安徽省沿江江南地区油菜产量方面具有一定的参考价值。 |
| 关键词: AquaCrop模型；安徽油菜；渍害胁迫；产量预测 |
| DOI：10.13522/j.cnki.ggps.2019297 |
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| Modelling Oilrape Growth under Waterlogging in Yanjiang - Jiangnan Region in Anhui Province Using the AquaCrop Model |
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WANG Xiaodong, YUE Wei, CHEN Jinhua, CHEN Xiaoyi
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1. Anhui Agricultural Meteorological Center, Hefei 230031, China; 2. Laboratory for Agrometeorological Disaster Assessment and Risk change of Anhui, Hefei 230031, China; 3. Anhui Meteorological Institute, Hefei 230031, China
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| Abstract: |
| 【Background】Oilrape is a main oil crop grown in Anhui province due to the suitability of its climate. However, climate change and alternate occurrence of drought and waterlogging, especially during the flowering stage, could cause waterlogging and reduce the seed-setting rate significantly. Understanding the mechanisms underlying the response of oilrape to waterlogging is hence important to improve its agronomic management.【Objective】The purpose of this paper is to study the feasibility of the crop model AquaCrop model for simulating oilrape growth under waterlogging in Yanjiang - Jiangnan region, Anhui province.【Method】We first calibrated the model against data measured in a waterlogged experiment conducted in 2010—2013, using meteorological data and physiological parameters of the crop. The calibrated model was then verified against archived data measured from the same region.【Result】Results simulated using the AquaCrop model showed that the average absolute error between the simulated biomass and yield and the measured data was 328.1 kg/hm2 and 101.9 kg/hm2 respectively, with their associated relative errors being 6.3% and 6.8% respectively. The model performance index was 0.89 and 0.91, and the AquaCrop model accurately reproduced the change in biomass and yield of the oilrape under waterlogging stress during the monsoon season. In particular, the verification showed that the relative error of the AquaCrop model was 5.2%~8.1% against the data measured from the Xuancheng site, and 6.8%~11.2% against the data measured from other three sites at Chizhou, Dongzhi and Shexian.【Conclusion】The relative error in some simulations exceeded 10%, but, overall, the AquaCrop model accurately reproduced the growth of the oilrape under waterlogging during the monsoon season in Yanjiang - Jiangnan region, Anhui province. For most simulations, the errors of the simulated biomass and yield were less than 10%. In addition to crop growth, the model can also simulate soil moisture dynamics. |
| Key words: AquaCrop model; oilrape; waterlogging stress; yield prediction |
