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首页> 外文会议>IFIP WG 5.14 International conference on computer and computing technologies in agriculture >Evaluation of EPIC Model of Soil NO_3-N in Irrigated and Wheat-Maize Rotation Field on the Loess Plateau of China
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Evaluation of EPIC Model of Soil NO_3-N in Irrigated and Wheat-Maize Rotation Field on the Loess Plateau of China

机译：中国黄土高原灌溉和小麦玉米旋转场土壤NO_3-N史诗模型的评价

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摘要

EPIC model has been evaluated and used world wide, however there is still some disagreements on the simulation results of nitrogen cycle. Based on field experimental data, simulation results of soil NO_3-N was evaluated and the parameter sensitivity for simulated NO_3-N was analyzed in irrigated winter wheat / summer maize field on the Loess Plateau of China. Results showed 1) EPIC model estimated soil NO_3-N content and its movement among different soil layers well, with the mean RRMSE value of 0.46, for irrigated winter wheat / summer maize cropping system in the semi-humid region of the Loess Plateau. 2) Simulation results of soil NO_3-N was more sensitive to soil parameters, compared with crop parameters and meteorological parameters. 3) To improve the parameter value of BN2, HI, TB, WA, CNDS, BD and FC was better to the EPIC model to simulate soil NO_3-N on the Loess Plateau of China.
机译：史诗模型已被评估和使用全球，但仍然存在一些分歧的氮循环的仿真结果。基于现场实验数据，评估了土壤NO_3-N的仿真结果，并在中国黄土高原的灌溉冬小麦/夏玉米玉米场分析了模拟NO_3-N的参数灵敏度。结果表明，史诗模式估计土壤NO_3-N含量及其在不同土壤层之间的运动，平均RRMSE值为0.46，用于黄土高原半湿润区域的灌溉冬小麦/夏季玉米种植系统。 2）与作物参数和气象参数相比，土壤NO_3-N的仿真结果对土壤参数更敏感。 3）为了改善BN2，HI，TB，WA，CNDS，BD和FC的参数值，史诗般的模型更好地模拟了中国黄土高原的土壤NO_3-N。

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