Chen Yuchao, Xu Bing, Wang Guoshuai, Tian Delong, Xu Lingyun, Zhou Jie, Miao Xiangyang, Li Xianyue
Institute of Water Resources and Hydropower Research, Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, Beijing, 100038, China.
Institute of Water Resources for Pastoral Area Ministry of Water Resources, Hohhot, 010020, China.
Sci Rep. 2025 Oct 1;15(1):34254. doi: 10.1038/s41598-025-16356-z.
The water resources in the Yellow River irrigation area of Inner Mongolia are tight, and the utilization efficiency of farmland irrigation water is low. The shallow buried drip irrigation mode is adopted in the local oat double-cropping planting, but its growth and development and water consumption process are not clear. In-depth study of the growth and water consumption of forage oats in the whole growth period under this model is very important for optimizing irrigation system, improving water use efficiency and increasing crop yield. A field experiment was conducted in Tumotezuoqi, Inner Mongolia. The database was established according to the meteorological-soil-crop-irrigation factors in 2022 and 2023, and the AquaCrop model was used for simulation research. The AquaCrop model was calibrated and validated using measured data for 2022 and 2023. The simulation results showed that the simulated values of soil water content, canopy coverage and yield were in good agreement with the observed values. The performance index ( EF ) of the model is 0.70 to 0.94, indicating that the overall performance of the model is high. Specifically, the root mean square error (RMSE) of soil water content ranged from 2.04 to 3.42%, the RMSE of canopy coverage ranged from 8.27 to 9.54%, and the RMSE of yield ranged from 0.28 to 0.33 tons / ha. In addition, the coefficient of determination (R) is between 0.85 and 0.94, which further verifies the high fitting degree and reliability of the model. The total water requirement of forage oats during the whole growth period was 230.7-333.1 mm, and the total water consumption was 214.7-315.4 mm. The drainage loss is 1.2-10.6 mm, accounting for 0.3%-5.40% of the total water demand. In 2022 and 2023, the water productivity (WP) of the second crop is 0.1-0.4 kg / m higher than that of the first crop. These findings help to provide valuable insights for optimizing agricultural water management practices in the region.
内蒙古黄河灌区水资源紧张，农田灌溉水利用效率低。当地燕麦复种采用浅埋滴灌模式，但其生长发育及耗水过程尚不清楚。深入研究该模式下饲用燕麦全生育期的生长及耗水情况，对于优化灌溉制度、提高水分利用效率和增加作物产量具有重要意义。在内蒙古土默特左旗开展了田间试验。根据2022年和2023年的气象-土壤-作物-灌溉因子建立数据库，并利用AquaCrop模型进行模拟研究。利用2022年和2023年的实测数据对AquaCrop模型进行了校准和验证。模拟结果表明，土壤含水量、冠层覆盖度和产量的模拟值与观测值吻合良好。模型的性能指标（EF）为0.70至0.94，表明模型整体性能较高。具体而言，土壤含水量的均方根误差（RMSE）为2.04%至3.42%，冠层覆盖度的RMSE为8.27%至9.54%，产量的RMSE为0.28至0.33吨/公顷。此外，决定系数（R）在0.85至0.94之间，进一步验证了模型的高拟合度和可靠性。饲用燕麦全生育期总需水量为230.7 - 333.1毫米，总耗水量为214.7 - 315.4毫米。排水损失为1.2 - 10.6毫米，占总需水量的0.3% - 5.40%。2022年和2023年，第二季作物的水分生产率（WP）比第一季作物高0.1 - 0.4千克/立方米。这些研究结果有助于为该地区优化农业用水管理实践提供有价值的见解。
