摘要
对农田土壤水分进行适当的时间序列分析,将经周期提取后的土壤水分随机序列采用RLS算法建立了非灌溉农田土壤水分自适应AR模型,从模拟效果和预报精度看,该模型具有较强的自适应性和一定的应用价值。
Time series analysis was made and an automatically adaptative AR model was established by the RLS recurrence method for the random series of rainfed cropped soil water extracted periodically. The simulation and prediction show that this model is of high automaticaly adaptability and of value in soil water management.
出处
《南京气象学院学报》
CSCD
1993年第3期324-328,共5页
Journal of Nanjing Institute of Meteorology
关键词
土壤水分
自适应AR模型
农田
soil moisture, periodic analysis, automatically adaptative AR model
