摘要
在内蒙古东南部地区引入成熟的作物模型并进行适应性验证,可为模型区域化应用提供研究依据。文章基于内蒙古东南部地区田间试验数据、农业气象观测数据结合同期气象数据和土壤数据,利用"试错法"对WOFOST模型参数进行了调试,对WOFOST模型发育期、叶面积指数及各器官生物量、产量等的模拟能力进行了验证。结果表明,模型对玉米发育期模拟较好,抽雄期和成熟期的模拟误差在6d以内,其中对抽雄期的模拟效果更好,在3d左右;模型对生育期内叶面积指数和各器官模拟良好,实测值和模型值的决定系数R2较高,均通过显著性检验,模拟各器官生物量和产量的均方根误差(RMSE)在641～1414kg·hm-2,其中模拟LAI的均方根误差(RMSE)为1.22。通过校准模型参数值,WOFOST模型能够较好地模拟内蒙古东南部地区春玉米生长发育及其生物量的动态积累过程,能够应用于内蒙古东南部地区春玉米生产。
Introducing a mature crop model and validating its adaptability can provide the basis for regionalization application. Based on the observed maize data,agrometeorological observation data as well as the local weather and soil data, the model was calibrated using the trial and error method, then was validated through comparing the observed development stage, leaf area index （ LAI） , biomass of organs and grain yield with that of simulated. The results showed that the model performed well in development stage simulation,the errors between simulated and measured anthesis and maturity date were no more than 6 days,which the simulation results of anthesis date were the better（about 3 days）. The simulated and observed of LAI and biomass during the growing stage showed a consensus trend, the determination coeffcient R2 passed the signifcance test. The relative Root Mean Square Error （ RMSE） for simulated biomass of organs and yield were between 641 kg·hm-2 to 1414kg·hm-2, and RMSE for simulated LAI was 1.22. Results showed that by calibration the crop parameter, WOFOST model could satisfactorily simulate the growth stage and biomass dynamical accumulated process of spring maize, and could be applied in spring maize production in southeastern Inner Mongolia.
作者
孙琳丽
Sun Linli(Tongliao Meteorological Bureau,Inner Mongolia Tongliao 02800)
出处
《内蒙古气象》
2018年第3期28-32,共5页
Meteorology Journal of Inner Mongolia
