DSSAT模型在黄土丘陵区不同耕作措施中的适用性

Adaptation of the DSSAT model under different farming practices in the Loess hilly region

基于黄土丘陵区2016–2017年两年春小麦(Triticum aestivum)田间试验数据和同期逐日气象数据,在利用GLUE参数估计模块结合"试错法"对模型参数标定基础上,运用均方根误差法对DSSAT模型进行检验,评估DSSAT在该地不同耕作措施中的适用性。结果表明,产量模拟值与实测值误差在8.89%～10.98%,整个土壤剖面各层土壤含水量模拟值与实测值误差在10.39%～14.91%,主要生育期天数的模拟值与实测值的误差<9.09%。表明DSSAT模型可以用来模拟不同耕作措施春小麦产量、生育期天数及土壤水分的动态变化,模型可以用于指导该地区作物生产及耕作措施的优化管理。

Based on test data from a spring wheat field and daily meteorological data for 2016 to 2017 from the Loess hilly region, model parameters were calibrated using the glue parameter estimation module and the "trial and error method," and the root mean square error method was used to test the DSSAT model to evaluate its adaptation under different farming practices. The results showed that the error between the estimated yield simulation and measured yield was in the range of 8.89%~10.98%, and the error for soil moisture content in each layer of the soil profile was 10.39%~14.91%. The error between the simulated and measured values for the main growth period in days was less than 9.09%. Therefore, the DSSAT model may be used to simulate crop yield, growth period in days, and soil water dynamics under different tillage practices, and the model could be used to guide crop production and optimal management of tillage measures in this area.