论文部分内容阅读
基于有效积温法,利用3种不同粒度的温室气温数据,模拟了温室黄瓜的生长发育情况。结果表明:3种积温算法对于黄瓜生育期的模拟均表现出苗期的模拟误差最大,标准误差(RMSE)为12.4d,采收末期的模拟误差最小,RMSE为1d。对比3种不同粒度积温算法的模拟效果,日积温法模拟的误差最小,平均误差为-0.6d;其次是小时积温法,平均误差为-1.8d;10min积温模拟的误差最大,为-2.2d。这说明用有效积温法模拟作物生育期,使用日有效积温来作为模型的输入,其模拟结果较好。另外,3种积温算法在对黄瓜不同生育期的模拟中,除苗期之外,其余各生育期的模拟结果基本一致,无明显差异,定植期误差为5d和4d,开花坐果期均为-4d,采收期均为3d,采收末期均为1d。说明有效积温法对于不同粒度的积温敏感性不强,而对于昼夜温度变化比较敏感。
Based on the effective temperature-accumulated method, the growth and development of cucumber in greenhouse were simulated using three kinds of greenhouse temperature data with different grain sizes. The results showed that the simulation results of the three kinds of accumulated temperature showed that the simulation error of seedling stage was the maximum, the standard error (RMSE) was 12.4d, the simulation error of the last harvest was the smallest, and the RMSE was 1d. Comparing the simulation results of three kinds of grain temperature algorithm with different grain size, the error of daily accumulated temperature method is the smallest, the average error is -0.6d; followed by the small temperature accumulated method, the average error is -1.8d; the error of 10min accumulated temperature is the largest, -2.2d . This shows that the effective accumulated temperature simulation of crop growth period, the use of effective daily accumulated temperature as the input model, the simulation results are better. In addition, the simulation results of the three kinds of accumulated temperature in different growth stages of cucumber except the seedling stage, the simulation results of other growth stages are basically the same, no significant difference, the error of planting stage is 5d and 4d, 4d, the harvest period is 3d, the end of harvest are 1d. It shows that the effective temperature-accumulation method is not sensitive to the accumulated temperature of different particle sizes, but sensitive to the temperature changes of day and night.