基于大豆观测数据的DSSAT和WOFOST模型模拟比较研究

Comparative Study of DSSAT and WOFOST Models Based on Soybean Observation Data

选取20002017年黄泛区农场农业气象观测站大豆观测数据及同期气象数据,对DSSAT和WOFOST两种模型进行调参,并对模拟结果进行对比。结果显示:两种模型模拟的结果略有不同,DSSAT模型较详细地模拟了大豆的生长过程,WOFOST模型的模拟则相对较简单。在有限数据的情况下,DSSAT模型对生物量的模拟效果较好,WOFOST模型对生育期天数和产量的模拟效果较好。两种作物模型均不适合对长时间序列的大豆生长状况进行模拟,时间越长,预测产量的误差越大。

Based on the soybean observation data and meteorological data of the same period in 2000—2017 from the Huanghe River Flooded Area Farm Agrometeorological Observation Station,DSSAT and WOFOST models were used for adjusting the parameters and comparatively analyzing the simulation results.The results show that the simulation results of the two models are slightly different due to their different mechanisms.DSSAT model can simulate the growing process of soybean in detail,while WOFOST model can only do the simulation simply.However,in the case of limited data,DSSAT model has better simulation effect on biomass,and WOFOST model has better simulation effect on the days of growing period and crop yield.Neither of the two models are suitable for simulating soybean growth in long-time series,and the longer the lead time of prediction,the greater the error of yield simulation,which is due to the changes of varieties and management methods under the simulation of long time series.DSSAT model is slightly better than WOFOST model.