针对华北小麦越冬的WOFOST模型改进

华北冬小麦生育期间存在较长的越冬休眠期，利用作物模型准确模拟冬小麦越冬过程有利于改善模型的模拟效果。本文针对华北地区气候特征和冬小麦品种生态类型，从冬小麦越冬、返青的气象指标出发对WOFOST模型进行了参数调整，从而实现了该模型对越冬物候期的模拟。根据返青后实际观测资料对返青期生物量的重新初始化，使WOFOST模型可以模拟出华北冬小麦的越冬损耗现象，并使模拟整个生育期地上生物量的平均拟合优度和关键发育期生物量的相对误差有所降低，为WOFOST模型适应华北冬小麦生长发育的模拟及区域应用奠定了基础。

Study on Improvement of WOFOST Against Overwinter of Wheat in North China

There was so long period of overwinter dormancy during development of winter wheat in North China that the simulation results of crop model could be improved by correct simulation of overwinter process of wheat. In this paper, against climate characteristic and ecologic type of winter wheat variety in North China, parameters of WOFOST was adjusted based on meteorological index of overwinter process of wheat in China, which made this model can simulate phenological phase of overwinter. Biomass weight in turn-green was re-initialized using optimum method (FSEOPT) according to measured data. Thus, WOFOST can simulate the change in biomass of winter during overwinter in North China, and simulated ability of WOFOST was improved. This research would be a foudation of adaptation of WOFOST in simulating development of winter wheat and regional application in North China.